Gathering. Useful Data. Chapter 3. Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc.
|
|
- Karen Garrison
- 6 years ago
- Views:
Transcription
1 Gathering Chapter 3 Useful Data Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc.
2 Principal Idea: The knowledge of how the data were generated is one of the key ingredients for translating data intelligently. Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 2
3 3.1 Description or Decision? Using Data Wisely Descriptive Statistics: using numerical and graphical summaries to characterize a data set. Inferential Statistics: using sample information to make conclusions about a broader range of individuals than just those observed. Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 3
4 The Fundamental Rule for Using Data for Inference Available data can be used to make inferences about a much larger group if the data can be considered to be representative with regard to the question(s) of interest. Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 4
5 Example 3.1 Do First Ladies Represent Other Women? Past First Ladies are not likely to be representative of other American women, nor even future First Ladies, on the question of age at death, since medical, social, and political conditions keep changing in ways that may affect their health. Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 5
6 Example 3.2 Do Penn State Students Represent Other College Students? If question of interest = average handspan of females in college age range => Yes If question of interest = how fast ever driven a car => No, since Penn State in rural area with open spaces, country roads, little traffic. Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 6
7 Populations, Samples, and Simple Random Samples Population: the larger group of units about which inferences are to be made. Sample: the smaller group of units actually measured. Simple Random Sample: every conceivable group of units of the required size from the population has the same chance to be the selected sample. Helps ensure sample data will be representative of the population, but can be difficult to obtain. Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 7
8 3.2 Speaking the Language of Research Studies Observational Study: Researchers observe or question participants about opinions, behaviors, or outcomes. Participants not asked to do anything differently. Two special cases: sample surveys and case-control studies. Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 8
9 Experiment: Researchers manipulate something and measure the effect of the manipulation on some outcome of interest. Randomized experiments: participants are randomly assigned to participate in one condition (called treatment) or another. Sometimes cannot conduct experiment due to practical/ethical issues. Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 9
10 Who is Measured: Units, Subjects, Participants Unit: a single individual or object being measured. If an experiment, then called an experimental unit. When units are people, often called subjects or participants. Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 10
11 Roles Played by Variables Measured or Not Explanatory variable (or independent variable) is one that may explain or may cause differences in a response variable (or outcome or dependent variable). A confounding variable is a variable that affects the response variable and also is related to the explanatory variable. A potential confounding variable not measured in the study is called a lurking variable. Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 11
12 Example 3.3 What Confounding Variables Lurk behind Lower Blood Pressure? Recall Case Study 1.5: people who attended church regularly had lower blood pressure than those who stayed home. Possible confounding variables: Amount of social support Health status Age Attitude toward life Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 12
13 Example 3.4 The Fewer the Pages, the More Valuable the Book? Data on number of pages and price of 15 books (ordered by number of pages). Do prices increase? No, many books with fewer pages are more expensive. Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 13
14 Example 3.4 The Fewer the Pages, the More Valuable the Book? Confounding Variable = Type of book (hardcover versus paperback). For each type of book, price does tend to increase with number of pages, especially for technical books. Type of book affects price and is related to number of pages. Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 14
15 Case Study 3.1 Lead Exposure and Bad Teeth Children exposed to lead are more likely to suffer tooth decay USA Today Observational study involving 24,901 children. Explanatory variable = level of lead exposure. Response variable = extent child has missing/decayed teeth. Possible confounding variables = income level, diet, time since last dental visit. Lurking variables = amount of fluoride in water, health care Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 15
16 3.3 Designing a Good Experiment Randomized experiments: often allow us to determine cause and effect. Random assignment: to make the groups approximately equal in all respects except for the explanatory variable. Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 16
17 Who Participates in Randomized Experiments? Participants in randomized experiments are often volunteers. Remember Fundamental Rule: Available data can be used to make inferences about a much larger group if the data can be considered to be representative with regard to the question(s) of interest. Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 17
18 Randomization: The Crucial Element Randomizing the Type of Treatment: Randomly assigning the treatments to the experimental units keeps the researchers from making assignments favorable to their hypotheses and also helps protect against hidden or unknown biases. Randomizing the Order of Treatments: If all treatments are applied to each unit, randomization should be used to determine the order in which they are applied. Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 18
19 Case Study 3.2 Kids and Weight Lifting Is weight training good for children? If so, is it better to lift heavy weights for few repetitions or moderate weights more times? Randomized Experiment involving 43 young volunteers. Three groups: 1 = heavy load 2 = moderate load 3 = control group Leg extension strength significantly increased in both exercise groups compared with that in the control subjects. Faigenbaum et al., 1999, p. e5 Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 19
20 Control Groups, Placebos, and Blinding Control Groups: Treated identically in all respects except they don t receive the active treatment. Sometimes they receive a dummy treatment or a standard/existing treatment. Placebo: Looks like real drug but has no active ingredient. Placebo effect = people respond to placebos. Blinding: Single-blind = participants do not know which treatment they have received. Double-blind = neither participant nor researcher making measurements knows who had which treatment. Double Dummy: Each group given two treatments Group 1 = real treatment 1 and placebo treatment 2 Group 2 = placebo treatment 1 and real treatment 2 Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 20
21 Pairing and Blocking Matched-Pair Designs Use either two matched individuals or same individual receives each of two treatments. Special case of a block design. Important to randomize order of two treatments and use blinding if possible. Block Designs Experimental units divided into homogeneous groups called blocks, each treatment randomly assigned to one or more units in each block. If blocks = individuals and units = repeated time periods in which receive varying treatments; called repeated-measures designs. Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 21
22 Case Study 3.3 Quitting Smoking with Nicotine Patches After the eight-week period of patch use, almost half (46%) of the nicotine group had quit smoking, while only one-fifth (20%) of the placebo group had. Double-blind, Placebo-controlled Randomized Experiment 240 smokers recruited (volunteers) Randomized to 22-mg nicotine patch or placebo (controlled) patch for 8 weeks. Double-blind: neither the participants nor the nurses taking the measurements knew who had received the active nicotine patches. Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 22
23 3.4 Designing a Good Observational Study Disadvantage: more difficult to try to establish causal links. Advantage: more likely to measure participants in their natural setting. Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 23
24 Types of Observational Studies Retrospective: Participants are asked to recall past events. Prospective: Participants are followed into the future and events are recorded. Case-Control Studies: Cases who have a particular attribute or condition are compared to controls who do not to see how they differ on an explanatory variable of interest. Advantages: Efficiency and Reduction of Potential Confounding Variables through careful choice of controls. Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 24
25 Case Study 3.4 Baldness and Heart Attacks Men with typical male pattern baldness are anywhere from 30 to 300 percent more likely to suffer a heart attack than men with little or no hair loss at all. Newsweek, March 9, 1993, p. 62 Case-control study cases = men admitted to hospital with heart attack controls = men admitted for other reasons. Explanatory variable: heart attack status (yes or no) Response variable: degree of baldness Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 25
26 3.5 Difficulties and Disasters in Experiments and Observational Studies Confounding Variables and the Implication of Causation in Observational Studies Big misinterpretation = reporting cause-and-effect relationship based on an observational study. No way to separate the role of confounding variables from the role of explanatory variables in producing the outcome variable if randomization is not used. Extending Results Inappropriately Many studies use convenience samples or volunteers. Need to assess if the results can be extended to any larger group for the question of interest. Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 26
27 3.5 Difficulties and Disasters in Experiments and Observational Studies Interacting Variables A second variable can interact with the explanatory variable in its relationship with the outcome variable. Results should be reported taking the interaction into account. Example: Interaction in Case Study 3.3 The difference between the nicotine and placebo patches is greater when there are no smokers in the home than when there are smokers in the home. Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 27
28 3.5 Difficulties and Disasters in Experiments and Observational Studies Hawthorne and Experimenter Bias Hawthorne effect = participants in an experiment respond differently than they otherwise would, just because they are in the experiment. Many treatments have higher success rate in clinical trials than in actual practice. Experimenter effects = recording data to match desired outcome, treating subjects differently, etc. Most overcome by blinding and control groups. Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 28
29 3.5 Difficulties and Disasters in Experiments and Observational Studies Ecological Validity and Generalizability When variables have been removed from their natural setting and are measured in the laboratory or in some other artificial setting, the results may not reflect the impact of the variable in the real world. Example 3.7 Real Smokers with a Desire to Quit Case Study 3.3: Ensured ecological validity and generalizability by using participants around the country of wide range of ages, and recorded many other variables and checked that they were not related to the patch assignment or the response variable. Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 29
30 3.5 Difficulties and Disasters in Experiments and Observational Studies Relying on Memory or Secondhand Sources Can be a problem in retrospective observational studies. Try to use authoritative sources such as medical records rather than rely on memory. If possible, use prospective observational studies. Copyright 2004 Brooks/Cole, a division of Thomson Learning, Inc. 30
STATISTICS 201. Survey: Provide this Info. How familiar are you with these? Survey, continued IMPORTANT NOTE. Regression and ANOVA 9/29/2013
STATISTICS 201 Survey: Provide this Info Outline for today: Go over syllabus Provide requested information on survey (handed out in class) Brief introduction and hands-on activity Name Major/Program Year
More informationLecture 4. Experiments and Observational Studies
Lecture 4 Experiments and Observational Studies Thought Question 1: In a study to relate two conditions, researchers often define one as the explanatory variable and other as the outcome or response variable.
More informationReview. Chapter 5. Common Language. Ch 3: samples. Ch 4: real world sample surveys. Experiments, Good and Bad
Review Ch 3: samples Sampling terminology Proportions Margin of error Ch 4: real world sample surveys Questions to ask about a study Errors in sample surveys Concerns about survey questions Probability
More informationCollecting Data Example: Does aspirin prevent heart attacks?
Collecting Data In an experiment, the researcher controls or manipulates the environment of the individuals. The intent of most experiments is to study the effect of changes in the explanatory variable
More informationChapter 6. Experiments in the Real World. Chapter 6 1
Chapter 6 Experiments in the Real World Chapter 6 1 Thought Question 1 Suppose you are interested in determining if drinking a glass of red wine each day helps prevent heartburn. You recruit 40 adults
More informationMAT Mathematics in Today's World
MAT 1000 Mathematics in Today's World Last Time 1. What does a sample tell us about the population? 2. Practical problems in sample surveys. Last Time Parameter: Number that describes a population Statistic:
More informationUNIT I SAMPLING AND EXPERIMENTATION: PLANNING AND CONDUCTING A STUDY (Chapter 4)
UNIT I SAMPLING AND EXPERIMENTATION: PLANNING AND CONDUCTING A STUDY (Chapter 4) A DATA COLLECTION (Overview) When researchers want to make conclusions/inferences about an entire population, they often
More informationCreative Commons Attribution-NonCommercial-Share Alike License
Author: Brenda Gunderson, Ph.D., 2015 License: Unless otherwise noted, this material is made available under the terms of the Creative Commons Attribution- NonCommercial-Share Alike 3.0 Unported License:
More informationaps/stone U0 d14 review d2 teacher notes 9/14/17 obj: review Opener: I have- who has
aps/stone U0 d14 review d2 teacher notes 9/14/17 obj: review Opener: I have- who has 4: You should be able to explain/discuss each of the following words/concepts below... Observational Study/Sampling
More informationChapter 13 Summary Experiments and Observational Studies
Chapter 13 Summary Experiments and Observational Studies What have we learned? We can recognize sample surveys, observational studies, and randomized comparative experiments. o These methods collect data
More informationChapter 13. Experiments and Observational Studies. Copyright 2012, 2008, 2005 Pearson Education, Inc.
Chapter 13 Experiments and Observational Studies Copyright 2012, 2008, 2005 Pearson Education, Inc. Observational Studies In an observational study, researchers don t assign choices; they simply observe
More informationThe Practice of Statistics 1 Week 2: Relationships and Data Collection
The Practice of Statistics 1 Week 2: Relationships and Data Collection Video 12: Data Collection - Experiments Experiments are the gold standard since they allow us to make causal conclusions. example,
More informationCHAPTER 4 Designing Studies
CHAPTER 4 Designing Studies 4.2 Experiments The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers Experiments Learning Objectives After this section, you
More informationCHAPTER 5: PRODUCING DATA
CHAPTER 5: PRODUCING DATA 5.1: Designing Samples Exploratory data analysis seeks to what data say by using: These conclusions apply only to the we examine. To answer questions about some of individuals
More informationDesigned Experiments have developed their own terminology. The individuals in an experiment are often called subjects.
When we wish to show a causal relationship between our explanatory variable and the response variable, a well designed experiment provides the best option. Here, we will discuss a few basic concepts and
More informationChapter 13. Experiments and Observational Studies
Chapter 13 Experiments and Observational Studies 1 /36 Homework Read Chpt 13 Do p312 1, 7, 9, 11, 17, 20, 25, 27, 29, 33, 40, 41 2 /36 Observational Studies In an observational study, researchers do not
More informationAP Statistics Exam Review: Strand 2: Sampling and Experimentation Date:
AP Statistics NAME: Exam Review: Strand 2: Sampling and Experimentation Date: Block: II. Sampling and Experimentation: Planning and conducting a study (10%-15%) Data must be collected according to a well-developed
More informationMath 124: Module 3 and Module 4
Experimental Math 124: Module 3 and Module 4 David Meredith Department of Mathematics San Francisco State University September 24, 2009 What we will do today Experimental 1 What we will do today Experimental
More information66 Questions, 5 pages - 1 of 5 Bio301D Exam 3
A = True, B = False unless stated otherwise name (required) You must turn in both this hard copy (with your name on it) and your scantron to receive credit for this exam. One answer and only one answer
More informationChapter 1 - Sampling and Experimental Design
Chapter 1 - Sampling and Experimental Design Read sections 1.3-1.5 Sampling (1.3.3 and 1.4.2) Sampling Plans: methods of selecting individuals from a population. We are interested in sampling plans such
More informationHandout 1: Introduction to the Research Process and Study Design STAT 335 Fall 2016
DESIGNING OBSERVATIONAL STUDIES As we have discussed, for the purpose of establishing cause-and-effect relationships, observational studies have a distinct disadvantage in comparison to randomized comparative
More informationChapter 2. The Data Analysis Process and Collecting Data Sensibly. Copyright 2005 Brooks/Cole, a division of Thomson Learning, Inc.
Chapter 2 The Data Analysis Process and Collecting Data Sensibly Important Terms Variable A variable is any characteristic whose value may change from one individual to another Examples: Brand of television
More informationVocabulary. Bias. Blinding. Block. Cluster sample
Bias Blinding Block Census Cluster sample Confounding Control group Convenience sample Designs Experiment Experimental units Factor Level Any systematic failure of a sampling method to represent its population
More informationChapter 1 Data Collection
Chapter 1 Data Collection OUTLINE 1.1 Introduction to the Practice of Statistics 1.2 Observational Studies versus Designed Experiments 1.3 Simple Random Sampling 1.4 Other Effective Sampling Methods 1.5
More informationStatistics Success Stories and Cautionary Tales
Course Goals STATISTICS 8 Professor Jessica Utts http://www.ics.uci.edu/~jutts/8 Help you understand and appreciate how statistics affects your daily life. Teach you tools for understanding statistics
More informationLecture Slides. Elementary Statistics Eleventh Edition. by Mario F. Triola. and the Triola Statistics Series 1.1-1
Lecture Slides Elementary Statistics Eleventh Edition and the Triola Statistics Series by Mario F. Triola 1.1-1 Chapter 1 Introduction to Statistics 1-1 Review and Preview 1-2 Statistical Thinking 1-3
More informationObservational study is a poor way to gauge the effect of an intervention. When looking for cause effect relationships you MUST have an experiment.
Chapter 5 Producing data Observational study Observes individuals and measures variables of interest but does not attempt to influence the responses. Experiment Deliberately imposes some treatment on individuals
More informationChapter 3. Producing Data
Chapter 3. Producing Data Introduction Mostly data are collected for a specific purpose of answering certain questions. For example, Is smoking related to lung cancer? Is use of hand-held cell phones associated
More informationVariable Data univariate data set bivariate data set multivariate data set categorical qualitative numerical quantitative
The Data Analysis Process and Collecting Data Sensibly Important Terms Variable A variable is any characteristic whose value may change from one individual to another Examples: Brand of television Height
More informationMath 124: Modules 3 and 4. Sampling. Designing. Studies. Studies. Experimental Studies Surveys. Math 124: Modules 3 and 4. Sampling.
What we will do today Five Experimental Module 3 and Module 4 David Meredith Department of Mathematics San Francisco State University September 24, 2008 Five Experimental 1 Five 2 Experimental Terminology
More informationCHAPTER 9: Producing Data: Experiments
CHAPTER 9: Producing Data: Experiments The Basic Practice of Statistics 6 th Edition Moore / Notz / Fligner Lecture PowerPoint Slides Chapter 9 Concepts 2 Observation vs. Experiment Subjects, Factors,
More informationSampling. (James Madison University) January 9, / 13
Sampling The population is the entire group of individuals about which we want information. A sample is a part of the population from which we actually collect information. A sampling design describes
More informationA) I only B) II only C) III only D) II and III only E) I, II, and III
AP Statistics Review Chapters 13, 3, 4 Your Name: Per: MULTIPLE CHOICE. Write the letter corresponding to the best answer. 1.* The Physicians Health Study, a large medical experiment involving 22,000 male
More informationStudy Designs in Epidemiology
Study Designs in Epidemiology Dr. Sireen Alkhaldi, BDS, MPH, DrPH First semester 2017/ 2018 Department of Family and Community Medicine School of Medicine/ The University of Jordan Epidemiologic Study
More informationSTAT 111 SEC 006 PRACTICE EXAM 1: SPRING 2007
STAT 111 SEC 006 PRACTICE EXAM 1: SPRING 2007 1. You want to know the opinions of American schoolteachers about establishing a national test for high school graduation. You obtain a list of the members
More informationQuiz 4.1C AP Statistics Name:
Quiz 4.1C AP Statistics Name: 1. The school s newspaper has asked you to contact 100 of the approximately 1100 students at the school to gather information about student opinions regarding food at your
More informationChapter 11: Experiments and Observational Studies p 318
Chapter 11: Experiments and Observational Studies p 318 Observation vs Experiment An observational study observes individuals and measures variables of interest but does not attempt to influence the response.
More informationGetting the Big Picture
Chapter 6 Getting the Big Picture Copyright 2005 Brooks/Cole, a division of Thomson Learning, Inc. Final Questions STEP 1: Determine if the research was a sample survey, an experiment, an observational
More informationThought question 1. Thought question 2
Thought question 1 Advice columnists sometimes ask readers to write and express their feelings about certain topics. Ann Landers asked whether they thought engineers make good husbands. Do you think the
More informationIntroduction to Statistics and Research Design. Arlo Clark-Foos
Introduction to Statistics and Research Design Arlo Clark-Foos Dr. John Snow and Cholera 1854.London Two Branches of Statistics Descriptive Statistics Organize, summarize, & communicate Reduce large amounts
More informationUNIT II: RESEARCH METHODS
THINKING CRITICALLY WITH PSYCHOLOGICAL SCIENCE UNIT II: RESEARCH METHODS Module 4: The Need for Psychological Science Module 5: Scientific Method and Description Module 6: Correlation and Experimentation
More informationlab exam lab exam Experimental Design Experimental Design when: Nov 27 - Dec 1 format: length = 1 hour each lab section divided in two
lab exam when: Nov 27 - Dec 1 length = 1 hour each lab section divided in two register for the exam in your section so there is a computer reserved for you If you write in the 1st hour, you can t leave
More informationExperimental Research. Types of Group Comparison Research. Types of Group Comparison Research. Stephen E. Brock, Ph.D.
Experimental Research Stephen E. Brock, Ph.D., NCSP California State University, Sacramento 1 Types of Group Comparison Research Review Causal-comparative AKA Ex Post Facto (Latin for after the fact).
More informationSession 1: Days 1-3. Session 4: Days Session 2: Days 4-7. Session 5: Days Session 3: Days Day 21: Quit Day!
Tobacco cessation overview calendar 21-Day Countdown to Quitting Session 1: Days 1-3 List health benefits of quitting. List expectations of overcoming your habits and addictions. List your top three Schedule
More informationGATHERING DATA. Chapter 4
GATHERING DATA Chapter 4 4.3 What are Good and Poor Ways to Experiment? Elements of an Experiment Experimental units: Subjects Treatment: Conditions imposed on subjects Explanatory variable: Defines groups
More informationApplied Analysis of Variance and Experimental Design. Lukas Meier, Seminar für Statistik
Applied Analysis of Variance and Experimental Design Lukas Meier, Seminar für Statistik About Me Studied mathematics at ETH. Worked at the statistical consulting service and did a PhD in statistics (at
More informationDaily Agenda. Honors Statistics. 1. Check homework C4#9. 4. Discuss 4.3 concepts. Finish 4.2 concepts. March 28, 2017
Honors Statistics Aug 23-8:26 PM Daily Agenda 1. Check homework C4#9 Finish 4.2 concepts 4. Discuss 4.3 concepts Aug 23-8:31 PM 1 Apr 6-9:53 AM Nov 11-12:33 PM 2 Lack of BLINDING... The same person "experimenter"
More informationCausal Research Design- Experimentation
In a social science (such as marketing) it is very important to understand that effects (e.g., consumers responding favorably to a new buzz marketing campaign) are caused by multiple variables. The relationships
More information4.2: Experiments. SAT Survey vs. SAT. Experiment. Confounding Variables. Section 4.2 Experiments. Observational Study vs.
4.2: s SAT Survey vs. SAT Describe a survey and an experiment that can be used to determine the relationship between SAT scores and hours studied? Section 4.2 s After this section, you should be able to
More informationChapter 5: Producing Data
Chapter 5: Producing Data Key Vocabulary: observational study vs. experiment confounded variables population vs. sample sampling vs. census sample design voluntary response sampling convenience sampling
More informationI. Introduction and Data Collection B. Sampling. 1. Bias. In this section Bias Random Sampling Sampling Error
I. Introduction and Data Collection B. Sampling In this section Bias Random Sampling Sampling Error 1. Bias Bias a prejudice in one direction (this occurs when the sample is selected in such a way that
More informationAP Psychology -- Chapter 02 Review Research Methods in Psychology
AP Psychology -- Chapter 02 Review Research Methods in Psychology 1. In the opening vignette, to what was Alicia's condition linked? The death of her parents and only brother 2. What did Pennebaker s study
More informationPsychology: The Science
Psychology: The Science How Psychologists Do Research Ex: While biking, it seems to me that drivers of pick up trucks aren t as nice as car drivers. I make a hypothesis or even develop a theory that p/u
More informationIn this second module in the clinical trials series, we will focus on design considerations for Phase III clinical trials. Phase III clinical trials
In this second module in the clinical trials series, we will focus on design considerations for Phase III clinical trials. Phase III clinical trials are comparative, large scale studies that typically
More informationLecture 4: Chapter 3, Section 4 Designing Studies (Focus on Experiments)
ecture 4: Chapter 3, Section 4 Designing Studies (Focus on Experiments) Definitions Randomization Control Blind Experiment Pitfalls Specific Experimental Designs Cengage earning Elementary Statistics:
More informationObservational Studies and Experiments. Observational Studies
Section 1 3: Observational Studies and Experiments Data is the basis for everything we do in statistics. Every method we use in this course starts with the collection of data. Observational Studies and
More informationOverview of Study Designs in Clinical Research
Overview of Study Designs in Clinical Research Systematic Reviews (SR), Meta-Analysis Best Evidence / Evidence Guidelines + Evidence Summaries Randomized, controlled trials (RCT) Clinical trials, Cohort
More informationAppraising the Literature Overview of Study Designs
Chapter 5 Appraising the Literature Overview of Study Designs Barbara M. Sullivan, PhD Department of Research, NUHS Jerrilyn A. Cambron, PhD, DC Department of Researach, NUHS EBP@NUHS Ch 5 - Overview of
More informationPLS 506 Mark T. Imperial, Ph.D. Lecture Notes: Reliability & Validity
PLS 506 Mark T. Imperial, Ph.D. Lecture Notes: Reliability & Validity Measurement & Variables - Initial step is to conceptualize and clarify the concepts embedded in a hypothesis or research question with
More informationHigher Psychology RESEARCH REVISION
Higher Psychology RESEARCH REVISION 1 The biggest change from the old Higher course (up to 2014) is the possibility of an analysis and evaluation question (8-10) marks asking you to comment on aspects
More informationMATH& 146 Lesson 6. Section 1.5 Experiments
MATH& 146 Lesson 6 Section 1.5 Experiments 1 Experiments Studies where the researchers assign treatments to cases are called experiments. When this assignment includes randomization (such as coin flips)
More informationChapter 9. Producing Data: Experiments. BPS - 5th Ed. Chapter 9 1
Chapter 9 Producing Data: Experiments BPS - 5th Ed. Chapter 9 1 How Data are Obtained Observational Study Observes individuals and measures variables of interest but does not attempt to influence the responses
More informationPsych 1Chapter 2 Overview
Psych 1Chapter 2 Overview After studying this chapter, you should be able to answer the following questions: 1) What are five characteristics of an ideal scientist? 2) What are the defining elements of
More informationChapter Three Research Methodology
Chapter Three Research Methodology Research Methods is a systematic and principled way of obtaining evidence (data, information) for solving health care problems. 1 Dr. Mohammed ALnaif METHODS AND KNOWLEDGE
More informationChapter 3. Producing Data
Chapter 3 Producing Data Types of data collected Anecdotal data data collected haphazardly (not representative!!) Available data existing data (examples: internet, library, census bureau,.) Gather own
More informationNext, we ll discuss some terminology that is typically used when discussing randomized experiments.
DESIGNING RANDOMIZED COMPARATIVE EXPERIMENTS Recall that in an experimental study design, a researcher manipulates something and then measures the effect of that manipulation on some outcome of interest.
More informationModule 4 Introduction
Module 4 Introduction Recall the Big Picture: We begin a statistical investigation with a research question. The investigation proceeds with the following steps: Produce Data: Determine what to measure,
More informationMain objective of Epidemiology. Statistical Inference. Statistical Inference: Example. Statistical Inference: Example
Main objective of Epidemiology Inference to a population Example: Treatment of hypertension: Research question (hypothesis): Is treatment A better than treatment B for patients with hypertension? Study
More information2. METHODS OF DATA COLLECTION
2. METHODS OF DATA COLLECTION Proper data collection is important. Even sophisticated statistical analyses can t compensate for data with bias, ambiguity or errors. Some examples from Wainer, Palmer and
More information04/12/2014. Research Methods in Psychology. Chapter 6: Independent Groups Designs. What is your ideas? Testing
Research Methods in Psychology Chapter 6: Independent Groups Designs 1 Why Psychologists Conduct Experiments? What is your ideas? 2 Why Psychologists Conduct Experiments? Testing Hypotheses derived from
More informationGLOSSARY OF GENERAL TERMS
GLOSSARY OF GENERAL TERMS Absolute risk reduction Absolute risk reduction (ARR) is the difference between the event rate in the control group (CER) and the event rate in the treated group (EER). ARR =
More informationExperiments and Observational Studies. Characteristics of a Study
Experiments and Observational Studies Characteristics of a Study Thought Questions 1. In studies to determine the relationship between two conditions (activities, traits, etc.), one of them is often defined
More informationCH 13 Experiments and observational Studies
CH 13 Experiments and observational Studies Key Terms Observational Study Retrospective Study Prospective Study Experiment Random Assignment Factor Response Experimental Units Level Treatment Principles
More informationRESEARCH METHODS: PSYCHOLOGY AS A SCIENCE
RESEARCH METHODS: PSYCHOLOGY AS A SCIENCE TODAY S OBJECTIVE Explain basic methods of psychological research. IMPORTANT KEY TERMS Variable: anything that can change Theory: broad idea or set of closely
More informationExamining Relationships Least-squares regression. Sections 2.3
Examining Relationships Least-squares regression Sections 2.3 The regression line A regression line describes a one-way linear relationship between variables. An explanatory variable, x, explains variability
More informationChapter 8 Statistical Principles of Design. Fall 2010
Chapter 8 Statistical Principles of Design Fall 2010 Experimental Design Many interesting questions in biology involve relationships between response variables and one or more explanatory variables. Biology
More informationMATH-134. Experimental Design
Experimental Design Controlled Experiment: Researchers assign treatment and control groups and examine any resulting changes in the response variable. (cause-and-effect conclusion) Observational Study:
More informationLecture 4: Research Approaches
Lecture 4: Research Approaches Lecture Objectives Theories in research Research design approaches ú Experimental vs. non-experimental ú Cross-sectional and longitudinal ú Descriptive approaches How to
More information1. What is the difference between positive and negative correlations?
1. What is the difference between positive and negative correlations? 2. Can correlations make predictions? 3. Can correlations prove causation? 4. What are illusory correlations? We can take data from
More informationChapter 1: Data Collection Pearson Prentice Hall. All rights reserved
Chapter 1: Data Collection 2010 Pearson Prentice Hall. All rights reserved 1-1 Statistics is the science of collecting, organizing, summarizing, and analyzing information to draw conclusions or answer
More informationTopic 5 Day 2. Homework #2: Saint John's Wort
Today's Agenda: 1. Hand back and go over Topic 4 Quizzes 2. Hand back and go over exit slips 3. Correct and collect Activities 5 7, 5 17 & 5 23 4. Activity 5 4 5. Activity 5 8. Activity 5 7. Topic 5 Preliminaries
More informationSamples, Sample Size And Sample Error. Research Methodology. How Big Is Big? Estimating Sample Size. Variables. Variables 2/25/2018
Research Methodology Samples, Sample Size And Sample Error Sampling error = difference between sample and population characteristics Reducing sampling error is the goal of any sampling technique As sample
More informationModule 5. The Epidemiological Basis of Randomised Controlled Trials. Landon Myer School of Public Health & Family Medicine, University of Cape Town
Module 5 The Epidemiological Basis of Randomised Controlled Trials Landon Myer School of Public Health & Family Medicine, University of Cape Town Introduction The Randomised Controlled Trial (RCT) is the
More informationExperimental Methods. Anna Fahlgren, Phd Associate professor in Experimental Orthopaedics
Experimental Methods Anna Fahlgren, Phd Associate professor in Experimental Orthopaedics What is experimental Methods? Experimental Methdology Experimental Methdology The Formal Hypothesis The precise
More informationIn the broadest sense of the word, the definition of research includes any gathering of data, information, and facts for the advancement of knowledge.
What is research? "In the broadest sense of the word, the definition of research includes any gathering of data, information, and facts for the advancement of knowledge." - Martyn Shuttleworth "Research
More informationDesign of Experiments & Introduction to Research
Design of Experiments & Introduction to Research 1 Design of Experiments Introduction to Research Definition and Purpose Scientific Method Research Project Paradigm Structure of a Research Project Types
More informationOBSERVATION METHODS: EXPERIMENTS
OBSERVATION METHODS: EXPERIMENTS Sociological Research Methods Experiments Independent variable is manipulated, and the dependent variable respond to the manipulation. e.g. Eating a chocolate bar prior
More informationPurpose. Study Designs. Objectives. Observational Studies. Analytic Studies
Purpose Study Designs H.S. Teitelbaum, DO, PhD, MPH, FAOCOPM AOCOPM Annual Meeting Introduce notions of study design Clarify common terminology used with description and interpretation of information collected
More informationUNDERSTANDING EPIDEMIOLOGICAL STUDIES. Csaba P Kovesdy, MD FASN Salem VA Medical Center, Salem VA University of Virginia, Charlottesville VA
UNDERSTANDING EPIDEMIOLOGICAL STUDIES Csaba P Kovesdy, MD FASN Salem VA Medical Center, Salem VA University of Virginia, Charlottesville VA Study design in epidemiological research: Summary Observational
More informationExperiments. 22S:30/105 Statistical Methods and Computing. Recall: What is the critical difference between an experiment and an observational
22S:30/105 Statistical Methods and Computing Designing Experiments Lecture 8 February 13, 2015 Kate Cowles 374 SH, 335-0727 kate-cowles@uiowa.edu 1 2 Experiments Recall: What is the critical difference
More informationGeneral Biostatistics Concepts
General Biostatistics Concepts Dongmei Li Department of Public Health Sciences Office of Public Health Studies University of Hawai i at Mānoa Outline 1. What is Biostatistics? 2. Types of Measurements
More informationRegarding Confounding Tiger Shrimp Problem (2006 #5)
Regarding Confounding Tiger Shrimp Problem (2006 #5) Page 1 of 7 From the scoring guide: From the Chief Reader s Report: Page 2 of 7 Friends, I'd like to speak to a couple of the issues that have been
More informationGlossary From Running Randomized Evaluations: A Practical Guide, by Rachel Glennerster and Kudzai Takavarasha
Glossary From Running Randomized Evaluations: A Practical Guide, by Rachel Glennerster and Kudzai Takavarasha attrition: When data are missing because we are unable to measure the outcomes of some of the
More informationProbability and Statistics Chapter 1 Notes
Probability and Statistics Chapter 1 Notes I Section 1-1 A is the science of collecting, organizing, analyzing, and interpreting data in order to make decisions 1 is information coming from observations,
More informationClinical problems and choice of study designs
Evidence Based Dentistry Clinical problems and choice of study designs Asbjørn Jokstad University of Oslo, Norway Nov 21 2001 1 Manipulation with intervention Yes Experimental study No Non-experimental
More informationSection 6.1 Sampling. Population each element (or person) from the set of observations that can be made (entire group)
Section 6.1 Sampling Population each element (or person) from the set of observations that can be made (entire group) Sample a subset of the population Census systematically getting information about an
More informationTheory. = an explanation using an integrated set of principles that organizes observations and predicts behaviors or events.
Definition Slides Hindsight Bias = the tendency to believe, after learning an outcome, that one would have foreseen it. Also known as the I knew it all along phenomenon. Critical Thinking = thinking that
More informationChapter 11 Nonexperimental Quantitative Research Steps in Nonexperimental Research
Chapter 11 Nonexperimental Quantitative Research (Reminder: Don t forget to utilize the concept maps and study questions as you study this and the other chapters.) Nonexperimental research is needed because
More informationIntroduction to PSYCHOLOGY
Introduction to PSYCHOLOGY PSYCHOLOGY The scientific study of behavior and the mental process. What are the characteristics of an excellent Psychologist? How do psychologists think? I feel myself a naturalist
More informationTypes of Biomedical Research
INTRODUCTION & MEASUREMENT IN CLINICAL RESEARCH Sakda Arj Ong Vallipakorn, MD MSIT, MA (Information Science) Pediatrics, Pediatric Cardiology Emergency Medicine, Ped Emergency Family Medicine Section of
More information