Reading Time [min.] Group

Size: px
Start display at page:

Download "Reading Time [min.] Group"

Transcription

1 The exam set contains 8 questions. The questions may contain sub-questions. Make sure to indicate which question you are answering. The questions are weighted according to the percentage in brackets. Please remember to report your arguments, calculations etc. Question 1 (16%) A teacher conducted an experiment to test whether new directed reading activities in the classroom will help elementary school pupils improve their reading ability. She arranged for a class of 11 students ( treatment group) to follow these activities for an 8-week period. A control class of 10 students ( control group) followed the same curriculum without the activities. (The two groups of students were selected independently with no attempt to match). The experiment was ended by a test, where the students were asked to read a text. The reading time (in minutes) was measured and registered in the table below. Reading Time [min.] Group Reading Time [min.] Group 5 treatment 8 control 6 treatment 8 control 6 treatment 9 control 7 treatment 9 control 7 treatment 9 control 7 treatment 10 control 8 treatment 10 control 8 treatment 10 control 9 treatment 11 control 9 treatment 11 control 10 treatment Questions: a) What test would you perform to compare reading time in two groups of students? Do the data satisfy the assumptions for this test? b) What null hypothesis do you choose for your test? c) Perform the test. Explain the results. d) What is your conclusion about the effect of new directed reading activities on pupils reading ability?

2 Question 2 (18%) Description: A group of researchers wanted to investigate whether a new noninvasive method for measuring transmitral volumetric flow (MF) could replace an invasive measure of left ventricular stroke volume (SV). The researchers performed both measurements in 11 healthy subjects as an initial test. The table below shows the results of the two measurements. The researchers defined a clinically acceptable limit of agreement between the two methods of ±16 cm 3. Subject MF (cm 3 ) SV (cm 3 ) a) The plot below shows a Bland-Altman plot comparing the two measurements. Explain what you can conclude from the plot. b) In addition to Bland-Altman plots, which other statistical methods are appropriate to use to compare the two measurement techniques? c) Perform the appropriate analyses in SPSS. Explain what you have done and what can be concluded from the results.

3 Question 3 (15%) A group of researchers wanted to investigate the survival probability in a cohort of patients. They formed a logistic regression model with age as a covariate, gender and smoking habit as categorical factors. a) What is the best single predictor for survival in this group of patients? b) Calculate the regression coefficients for the logistic regression model. c) What is the probability that a 45 year old smoking female patent in the study will survive. Assume that the regression constant, 0, is Parameter odds ratio P Age Gender, female Smoking, Yes Question 4 (18%) A group of researchers have developed 3 magic pills against stress. To test the effect of the anti-stress pills the recruited 20 stress patients and randomly assigned them into 4 groups. One group received a placebo pill and the 3 other groups received one of the magic pills each. The patients were asked to report how long time lasted before they felt stress again. The time-to-stress is shown in the table below (in months). The researchers wanted to compare the 3 treatment groups with the control group. Placebo Pill 1 Pill 2 Pill a) The researchers were considering performing a 1-way ANOVA. Which assumptions must the time-to-stress data fulfill? b) The researcher performed normality tests on the time-to-stress for each group as shown in the table below. What should they conclude? c) Perform the appropriate test for effect of the pills.

4 dimension1 Tests of Normality treatment Kolmogorov-Smirnov a Shapiro-Wilk Statistic df Sig. Statistic df Sig. outcome control,194 5,200 *,965 5,842 T1,433 5,003,623 5,001 T2,217 5,200 *,925 5,566 T3,221 5,200 *,945 5,703 a. Lilliefors Significance Correction *. This is a lower bound of the true significance. Question 5 (18%) Two randomized, controlled trials comparing Drug1 and Drug2 in the treatment of a disease X were identified from Medline search. In one, there were 77 cases of clinical cure out of 94 patients treated by Drug1 compared with 67 cases of clinical cure in 100 patients treated by Drug2; in the other trial the clinical cure rates were 255/276 for the Drug1 group compared with 241/262 for the Drug2 group. Questions: a) Why did researches choose a randomized controlled trial design for these two studies? Would you use other designs? b) What is the overall odds ratio (for receiving Drug1 therapy among clinically cured patients compared to those who were not clinically cured) across two studies? Explain the result c) What is the confidence interval for this overall odds ratio? What does this confidence interval mean? d) Is there significant heterogeneity between the results in these two studies? Question 6 (5%) In addition to the scientific field, list the key factors for determining where to apply for funds from the Danish research councils and foundations. Question 7 (5%) a) List the ethical issues which should be considered in the trial protocol before its submission to a regional ethical committee. b) At which point should trial subjects be informed of ethical issues?

5 Question 8 (5%) Describe at least three weaknesses in the following patent claim. A device for determining cardiac contractility from electrocardiography relating to an individual, comprising three Ag-AgCl electrodes for non-invasive recording of electrical signals on the chest of the individual, a data collection device, having means for collecting measurements from the three Ag- AgCl electrodes, a laptop, for receiving data from the data collection device and determining the cardiac contractility. This is the end of the exam set

Theoretical Exam. Monday 15 th, Instructor: Dr. Samir Safi. 1. Write your name, student ID and section number.

Theoretical Exam. Monday 15 th, Instructor: Dr. Samir Safi. 1. Write your name, student ID and section number. بسم االله الرحمن الرحيم COMPUTER & DATA ANALYSIS Theoretical Exam FINAL THEORETICAL EXAMINATION Monday 15 th, 2007 Instructor: Dr. Samir Safi Name: ID Number: Instructor: INSTRUCTIONS: 1. Write your name,

More information

CHAPTER III RESEARCH METHODOLOGY

CHAPTER III RESEARCH METHODOLOGY CHAPTER III RESEARCH METHODOLOGY 3.1 Introduction This chapter discusses overview of the methodological aspects of the study. The overview comprises of seven parts; the research design, population and

More information

Daniel Boduszek University of Huddersfield

Daniel Boduszek University of Huddersfield Daniel Boduszek University of Huddersfield d.boduszek@hud.ac.uk Introduction to Multinominal Logistic Regression SPSS procedure of MLR Example based on prison data Interpretation of SPSS output Presenting

More information

1. You want to find out what factors predict achievement in English. Develop a model that

1. You want to find out what factors predict achievement in English. Develop a model that Questions and answers for Chapter 10 1. You want to find out what factors predict achievement in English. Develop a model that you think can explain this. As usual many alternative predictors are possible

More information

Here are the various choices. All of them are found in the Analyze menu in SPSS, under the sub-menu for Descriptive Statistics :

Here are the various choices. All of them are found in the Analyze menu in SPSS, under the sub-menu for Descriptive Statistics : Descriptive Statistics in SPSS When first looking at a dataset, it is wise to use descriptive statistics to get some idea of what your data look like. Here is a simple dataset, showing three different

More information

Tutorial 3: MANOVA. Pekka Malo 30E00500 Quantitative Empirical Research Spring 2016

Tutorial 3: MANOVA. Pekka Malo 30E00500 Quantitative Empirical Research Spring 2016 Tutorial 3: Pekka Malo 30E00500 Quantitative Empirical Research Spring 2016 Step 1: Research design Adequacy of sample size Choice of dependent variables Choice of independent variables (treatment effects)

More information

Daniel Boduszek University of Huddersfield

Daniel Boduszek University of Huddersfield Daniel Boduszek University of Huddersfield d.boduszek@hud.ac.uk Introduction to Logistic Regression SPSS procedure of LR Interpretation of SPSS output Presenting results from LR Logistic regression is

More information

STATISTICS 8 CHAPTERS 1 TO 6, SAMPLE MULTIPLE CHOICE QUESTIONS

STATISTICS 8 CHAPTERS 1 TO 6, SAMPLE MULTIPLE CHOICE QUESTIONS STATISTICS 8 CHAPTERS 1 TO 6, SAMPLE MULTIPLE CHOICE QUESTIONS Circle the best answer. This scenario applies to Questions 1 and 2: A study was done to compare the lung capacity of coal miners to the lung

More information

Problem #1 Neurological signs and symptoms of ciguatera poisoning as the start of treatment and 2.5 hours after treatment with mannitol.

Problem #1 Neurological signs and symptoms of ciguatera poisoning as the start of treatment and 2.5 hours after treatment with mannitol. Ho (null hypothesis) Ha (alternative hypothesis) Problem #1 Neurological signs and symptoms of ciguatera poisoning as the start of treatment and 2.5 hours after treatment with mannitol. Hypothesis: Ho:

More information

Chi-square test. Wenli Lu Dept. Health statistics School of public health Tianjin medical university. Chi-square

Chi-square test. Wenli Lu Dept. Health statistics School of public health Tianjin medical university. Chi-square Chi-square test Wenli Lu Dept. Health statistics School of public health Tianjin medical university Chi-square =0 O E ( O E) ( O E) 2 1 Example Is there difference of gender distribution between treatment

More information

0= Perempuan, 1= Laki-Laki

0= Perempuan, 1= Laki-Laki Responden Menurut Umur Descriptive Statistics N Minimum Maximum Mean Std. Deviation Umur 34 21 56 28,12 6,763 Valid N (listwise) 34 Responden Menurut Jenis Kelamin 0= Perempuan, 1= Laki-Laki Jenis_Kelamin

More information

Simple Linear Regression One Categorical Independent Variable with Several Categories

Simple Linear Regression One Categorical Independent Variable with Several Categories Simple Linear Regression One Categorical Independent Variable with Several Categories Does ethnicity influence total GCSE score? We ve learned that variables with just two categories are called binary

More information

MULTIPLE LINEAR REGRESSION 24.1 INTRODUCTION AND OBJECTIVES OBJECTIVES

MULTIPLE LINEAR REGRESSION 24.1 INTRODUCTION AND OBJECTIVES OBJECTIVES 24 MULTIPLE LINEAR REGRESSION 24.1 INTRODUCTION AND OBJECTIVES In the previous chapter, simple linear regression was used when you have one independent variable and one dependent variable. This chapter

More information

Research paper. One-way Analysis of Variance (ANOVA) Research paper. SPSS output. Learning objectives. Alcohol and driving ability

Research paper. One-way Analysis of Variance (ANOVA) Research paper. SPSS output. Learning objectives. Alcohol and driving ability Research paper Alcohol and driving ability One-way Analysis of Variance (ANOVA) Thirty-six people took part in an experiment to discover the effects of alcohol on drinking ability. They were randomly assigned

More information

Explore. sexcntry Sex according to country. [DataSet1] D:\NORA\NORA Main File.sav

Explore. sexcntry Sex according to country. [DataSet1] D:\NORA\NORA Main File.sav EXAMINE VARIABLES=nc228 BY sexcntry /PLOT BOXPLOT HISTOGRAM NPPLOT /COMPARE GROUPS /STATISTICS DESCRIPTIVES /CINTERVAL 95 /MISSING LISTWISE /NOTOTAL. Explore Notes Output Created Comments Input Missing

More information

Randomized Block Designs 1

Randomized Block Designs 1 Randomized Block Designs 1 STA305 Winter 2014 1 See last slide for copyright information. 1 / 1 Background Reading Optional Photocopy 2 from an old textbook; see course website. It s only four pages. The

More information

Statistical Reasoning in Public Health Biostatistics 612, 2009, HW#3

Statistical Reasoning in Public Health Biostatistics 612, 2009, HW#3 Statistical Reasoning in Public Health Biostatistics 612, 2009, HW#3 1. A random sample of 200 patients admitted to an adult intensive care unit (ICU) was collected to examine factors associated with death

More information

Final Exam Practice Test

Final Exam Practice Test Final Exam Practice Test The t distribution and z-score distributions are located in the back of your text book (the appendices) You will be provided with a new copy of each during your final exam True

More information

Midterm Exam ANSWERS Categorical Data Analysis, CHL5407H

Midterm Exam ANSWERS Categorical Data Analysis, CHL5407H Midterm Exam ANSWERS Categorical Data Analysis, CHL5407H 1. Data from a survey of women s attitudes towards mammography are provided in Table 1. Women were classified by their experience with mammography

More information

Midterm Exam MMI 409 Spring 2009 Gordon Bleil

Midterm Exam MMI 409 Spring 2009 Gordon Bleil Midterm Exam MMI 409 Spring 2009 Gordon Bleil Table of contents: (Hyperlinked to problem sections) Problem 1 Hypothesis Tests Results Inferences Problem 2 Hypothesis Tests Results Inferences Problem 3

More information

Examining differences between two sets of scores

Examining differences between two sets of scores 6 Examining differences between two sets of scores In this chapter you will learn about tests which tell us if there is a statistically significant difference between two sets of scores. In so doing you

More information

EPS 625 INTERMEDIATE STATISTICS TWO-WAY ANOVA IN-CLASS EXAMPLE (FLEXIBILITY)

EPS 625 INTERMEDIATE STATISTICS TWO-WAY ANOVA IN-CLASS EXAMPLE (FLEXIBILITY) EPS 625 INTERMEDIATE STATISTICS TO-AY ANOVA IN-CLASS EXAMPLE (FLEXIBILITY) A researcher conducts a study to evaluate the effects of the length of an exercise program on the flexibility of female and male

More information

The following are questions that students had difficulty with on the first three exams.

The following are questions that students had difficulty with on the first three exams. The following are questions that students had difficulty with on the first three exams. Exam 1 1. A measure has construct validity if it: a) really measures what it is supposed to measure b) appears, on

More information

Chapter 7: Correlation

Chapter 7: Correlation Chapter 7: Correlation Smart Alex s Solutions Task 1 A student was interested in whether there was a positive relationship between the time spent doing an essay and the mark received. He got 45 of his

More information

Business Research Methods. Introduction to Data Analysis

Business Research Methods. Introduction to Data Analysis Business Research Methods Introduction to Data Analysis Data Analysis Process STAGES OF DATA ANALYSIS EDITING CODING DATA ENTRY ERROR CHECKING AND VERIFICATION DATA ANALYSIS Introduction Preparation of

More information

Intro to SPSS. Using SPSS through WebFAS

Intro to SPSS. Using SPSS through WebFAS Intro to SPSS Using SPSS through WebFAS http://www.yorku.ca/computing/students/labs/webfas/ Try it early (make sure it works from your computer) If you need help contact UIT Client Services Voice: 416-736-5800

More information

Study Guide #2: MULTIPLE REGRESSION in education

Study Guide #2: MULTIPLE REGRESSION in education Study Guide #2: MULTIPLE REGRESSION in education What is Multiple Regression? When using Multiple Regression in education, researchers use the term independent variables to identify those variables that

More information

SUMMER 2011 RE-EXAM PSYF11STAT - STATISTIK

SUMMER 2011 RE-EXAM PSYF11STAT - STATISTIK SUMMER 011 RE-EXAM PSYF11STAT - STATISTIK Full Name: Årskortnummer: Date: This exam is made up of three parts: Part 1 includes 30 multiple choice questions; Part includes 10 matching questions; and Part

More information

Chapter 14: More Powerful Statistical Methods

Chapter 14: More Powerful Statistical Methods Chapter 14: More Powerful Statistical Methods Most questions will be on correlation and regression analysis, but I would like you to know just basically what cluster analysis, factor analysis, and conjoint

More information

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) 1) A) B) C) D)

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) 1) A) B) C) D) Exam Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) 1) A) B) C) D) Decide whether or not the conditions and assumptions for inference with

More information

Simple Linear Regression

Simple Linear Regression Simple Linear Regression Assoc. Prof Dr Sarimah Abdullah Unit of Biostatistics & Research Methodology School of Medical Sciences, Health Campus Universiti Sains Malaysia Regression Regression analysis

More information

Regression Including the Interaction Between Quantitative Variables

Regression Including the Interaction Between Quantitative Variables Regression Including the Interaction Between Quantitative Variables The purpose of the study was to examine the inter-relationships among social skills, the complexity of the social situation, and performance

More information

Survey of Smoking, Drinking and Drug Use (SDD) among young people in England, Andrew Bryant

Survey of Smoking, Drinking and Drug Use (SDD) among young people in England, Andrew Bryant Survey of Smoking, Drinking and Drug Use (SDD) among young people in England, 2010 Andrew Bryant Newcastle University Institute of Health and Society Background Background Young people s drinking behaviour

More information

Online Supplementary Appendix

Online Supplementary Appendix Online Supplementary Appendix This appendix has been provided by the authors to give readers additional information about their work. Supplement to: Lehman * LH, Saeed * M, Talmor D, Mark RG, and Malhotra

More information

REVIEW ARTICLE. A Review of Inferential Statistical Methods Commonly Used in Medicine

REVIEW ARTICLE. A Review of Inferential Statistical Methods Commonly Used in Medicine A Review of Inferential Statistical Methods Commonly Used in Medicine JCD REVIEW ARTICLE A Review of Inferential Statistical Methods Commonly Used in Medicine Kingshuk Bhattacharjee a a Assistant Manager,

More information

Bangor University Laboratory Exercise 1, June 2008

Bangor University Laboratory Exercise 1, June 2008 Laboratory Exercise, June 2008 Classroom Exercise A forest land owner measures the outside bark diameters at.30 m above ground (called diameter at breast height or dbh) and total tree height from ground

More information

Logistic Regression Predicting the Chances of Coronary Heart Disease. Multivariate Solutions

Logistic Regression Predicting the Chances of Coronary Heart Disease. Multivariate Solutions Logistic Regression Predicting the Chances of Coronary Heart Disease Multivariate Solutions What is Logistic Regression? Logistic regression in a nutshell: Logistic regression is used for prediction of

More information

PRACTICAL STATISTICS FOR MEDICAL RESEARCH

PRACTICAL STATISTICS FOR MEDICAL RESEARCH PRACTICAL STATISTICS FOR MEDICAL RESEARCH Douglas G. Altman Head of Medical Statistical Laboratory Imperial Cancer Research Fund London CHAPMAN & HALL/CRC Boca Raton London New York Washington, D.C. Contents

More information

Basic Biostatistics. Chapter 1. Content

Basic Biostatistics. Chapter 1. Content Chapter 1 Basic Biostatistics Jamalludin Ab Rahman MD MPH Department of Community Medicine Kulliyyah of Medicine Content 2 Basic premises variables, level of measurements, probability distribution Descriptive

More information

Age (continuous) Gender (0=Male, 1=Female) SES (1=Low, 2=Medium, 3=High) Prior Victimization (0= Not Victimized, 1=Victimized)

Age (continuous) Gender (0=Male, 1=Female) SES (1=Low, 2=Medium, 3=High) Prior Victimization (0= Not Victimized, 1=Victimized) Criminal Justice Doctoral Comprehensive Exam Statistics August 2016 There are two questions on this exam. Be sure to answer both questions in the 3 and half hours to complete this exam. Read the instructions

More information

Statistics as a Tool. A set of tools for collecting, organizing, presenting and analyzing numerical facts or observations.

Statistics as a Tool. A set of tools for collecting, organizing, presenting and analyzing numerical facts or observations. Statistics as a Tool A set of tools for collecting, organizing, presenting and analyzing numerical facts or observations. Descriptive Statistics Numerical facts or observations that are organized describe

More information

Statistics Assignment 11 - Solutions

Statistics Assignment 11 - Solutions Statistics 44.3 Assignment 11 - Solutions 1. Samples were taken of individuals with each blood type to see if the average white blood cell count differed among types. Eleven individuals in each group were

More information

Why nursing students should understand statistics. Objectives of lecture. Why Statistics? Not to put students off statistics!

Why nursing students should understand statistics. Objectives of lecture. Why Statistics? Not to put students off statistics! Why nursing students should understand statistics Objectives of lecture Not to put students off statistics! Review methods of displaying and summarizing data. Review basic statistical concepts used in

More information

UNIVERSITY OF THE FREE STATE DEPARTMENT OF COMPUTER SCIENCE AND INFORMATICS CSIS6813 MODULE TEST 2

UNIVERSITY OF THE FREE STATE DEPARTMENT OF COMPUTER SCIENCE AND INFORMATICS CSIS6813 MODULE TEST 2 UNIVERSITY OF THE FREE STATE DEPARTMENT OF COMPUTER SCIENCE AND INFORMATICS CSIS6813 MODULE TEST 2 DATE: 3 May 2017 MARKS: 75 ASSESSOR: Prof PJ Blignaut MODERATOR: Prof C de Villiers (UP) TIME: 2 hours

More information

Evaluating EDI* Participant Reactions via Different Response Scales: A Technical Review. Keshav Gaur William A. Eckert

Evaluating EDI* Participant Reactions via Different Response Scales: A Technical Review. Keshav Gaur William A. Eckert Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized *The World Bank Institute (WBI) was formerly the Economic Development Institute (EDI),

More information

SPSS output for 420 midterm study

SPSS output for 420 midterm study Ψ Psy Midterm Part In lab (5 points total) Your professor decides that he wants to find out how much impact amount of study time has on the first midterm. He randomly assigns students to study for hours,

More information

The Effectiveness of Hypnotherapy to Increase Self-esteem of Patients Treated with Methadone

The Effectiveness of Hypnotherapy to Increase Self-esteem of Patients Treated with Methadone International Journal of Basic Sciences & Applied Research. Vol., 4 (11), 682-687, 2015 Available online at http://www.isicenter.org ISSN 2147-3749 2015 The Effectiveness of Hypnotherapy to Increase Self-esteem

More information

Question 1(25= )

Question 1(25= ) MSG500 Final 20-0-2 Examiner: Rebecka Jörnsten, 060-49949 Remember: To pass this course you also have to hand in a final project to the examiner. Open book, open notes but no calculators or computers allowed.

More information

Dr. Kelly Bradley Final Exam Summer {2 points} Name

Dr. Kelly Bradley Final Exam Summer {2 points} Name {2 points} Name You MUST work alone no tutors; no help from classmates. Email me or see me with questions. You will receive a score of 0 if this rule is violated. This exam is being scored out of 00 points.

More information

Patient referral for elective coronary angiography: challenging the current strategy

Patient referral for elective coronary angiography: challenging the current strategy Patient referral for elective coronary angiography: challenging the current strategy M. Santos, A. Ferreira, A. P. Sousa, J. Brito, R. Calé, L. Raposo, P. Gonçalves, R. Teles, M. Almeida, M. Mendes Cardiology

More information

STA 3024 Spring 2013 EXAM 3 Test Form Code A UF ID #

STA 3024 Spring 2013 EXAM 3 Test Form Code A UF ID # STA 3024 Spring 2013 Name EXAM 3 Test Form Code A UF ID # Instructions: This exam contains 34 Multiple Choice questions. Each question is worth 3 points, for a total of 102 points (there are TWO bonus

More information

Assessing Agreement Between Methods Of Clinical Measurement

Assessing Agreement Between Methods Of Clinical Measurement University of York Department of Health Sciences Measuring Health and Disease Assessing Agreement Between Methods Of Clinical Measurement Based on Bland JM, Altman DG. (1986). Statistical methods for assessing

More information

Small Group Presentations

Small Group Presentations Admin Assignment 1 due next Tuesday at 3pm in the Psychology course centre. Matrix Quiz during the first hour of next lecture. Assignment 2 due 13 May at 10am. I will upload and distribute these at the

More information

Individual Study Table Referring to Item of the Submission: Volume: Page:

Individual Study Table Referring to Item of the Submission: Volume: Page: 2.0 Synopsis Name of Company: Abbott Laboratories Name of Study Drug: Meridia Name of Active Ingredient: Sibutramine hydrochloride monohydrate Individual Study Table Referring to Item of the Submission:

More information

Overview of Non-Parametric Statistics

Overview of Non-Parametric Statistics Overview of Non-Parametric Statistics LISA Short Course Series Mark Seiss, Dept. of Statistics April 7, 2009 Presentation Outline 1. Homework 2. Review of Parametric Statistics 3. Overview Non-Parametric

More information

SPSS output for 420 midterm study

SPSS output for 420 midterm study Ψ Psy Midterm Part In lab (5 points total) Your professor decides that he wants to find out how much impact amount of study time has on the first midterm. He randomly assigns students to study for hours,

More information

CHAPTER 3 METHOD AND PROCEDURE

CHAPTER 3 METHOD AND PROCEDURE CHAPTER 3 METHOD AND PROCEDURE Previous chapter namely Review of the Literature was concerned with the review of the research studies conducted in the field of teacher education, with special reference

More information

Relationship, Correlation, & Causation DR. MIKE MARRAPODI

Relationship, Correlation, & Causation DR. MIKE MARRAPODI Relationship, Correlation, & Causation DR. MIKE MARRAPODI Topics Relationship Correlation Causation Relationship Definition The way in which two or more people or things are connected, or the state of

More information

A Brief (very brief) Overview of Biostatistics. Jody Kreiman, PhD Bureau of Glottal Affairs

A Brief (very brief) Overview of Biostatistics. Jody Kreiman, PhD Bureau of Glottal Affairs A Brief (very brief) Overview of Biostatistics Jody Kreiman, PhD Bureau of Glottal Affairs What We ll Cover Fundamentals of measurement Parametric versus nonparametric tests Descriptive versus inferential

More information

A COMPARISON BETWEEN MULTIVARIATE AND BIVARIATE ANALYSIS USED IN MARKETING RESEARCH

A COMPARISON BETWEEN MULTIVARIATE AND BIVARIATE ANALYSIS USED IN MARKETING RESEARCH Bulletin of the Transilvania University of Braşov Vol. 5 (54) No. 1-2012 Series V: Economic Sciences A COMPARISON BETWEEN MULTIVARIATE AND BIVARIATE ANALYSIS USED IN MARKETING RESEARCH Cristinel CONSTANTIN

More information

One-Way ANOVAs t-test two statistically significant Type I error alpha null hypothesis dependant variable Independent variable three levels;

One-Way ANOVAs t-test two statistically significant Type I error alpha null hypothesis dependant variable Independent variable three levels; 1 One-Way ANOVAs We have already discussed the t-test. The t-test is used for comparing the means of two groups to determine if there is a statistically significant difference between them. The t-test

More information

Statistical questions for statistical methods

Statistical questions for statistical methods Statistical questions for statistical methods Unpaired (two-sample) t-test DECIDE: Does the numerical outcome have a relationship with the categorical explanatory variable? Is the mean of the outcome the

More information

Chapter 9: Comparing two means

Chapter 9: Comparing two means Chapter 9: Comparing two means Smart Alex s Solutions Task 1 Is arachnophobia (fear of spiders) specific to real spiders or will pictures of spiders evoke similar levels of anxiety? Twelve arachnophobes

More information

Chapter 12: Analysis of covariance, ANCOVA

Chapter 12: Analysis of covariance, ANCOVA Chapter 12: Analysis of covariance, ANCOVA Smart Alex s Solutions Task 1 A few years back I was stalked. You d think they could have found someone a bit more interesting to stalk, but apparently times

More information

Previous Example. New. Tradition

Previous Example. New. Tradition Experimental Design Previous Example New Tradition Goal? New Tradition =? Challenges Internal validity How to guarantee what you have observed is true? External validity How to guarantee what you have

More information

VALIDITY OF QUANTITATIVE RESEARCH

VALIDITY OF QUANTITATIVE RESEARCH Validity 1 VALIDITY OF QUANTITATIVE RESEARCH Recall the basic aim of science is to explain natural phenomena. Such explanations are called theories (Kerlinger, 1986, p. 8). Theories have varying degrees

More information

Learning Objectives 9/9/2013. Hypothesis Testing. Conflicts of Interest. Descriptive statistics: Numerical methods Measures of Central Tendency

Learning Objectives 9/9/2013. Hypothesis Testing. Conflicts of Interest. Descriptive statistics: Numerical methods Measures of Central Tendency Conflicts of Interest I have no conflict of interest to disclose Biostatistics Kevin M. Sowinski, Pharm.D., FCCP Last-Chance Ambulatory Care Webinar Thursday, September 5, 2013 Learning Objectives For

More information

ε error εˆ ~ Greenhouse Geisser correction (see p. 25) ε Huynh Feldt correction (see p. 25)

ε error εˆ ~ Greenhouse Geisser correction (see p. 25) ε Huynh Feldt correction (see p. 25) 9: Glossary 14 9 Glossary Symbols: implies is equivalent to x mean of a set of values of x ε error εˆ ~ Greenhouse Geisser correction (see p. 5) ε Huynh Feldt correction (see p. 5) µ mean ρ population

More information

9/4/2013. Decision Errors. Hypothesis Testing. Conflicts of Interest. Descriptive statistics: Numerical methods Measures of Central Tendency

9/4/2013. Decision Errors. Hypothesis Testing. Conflicts of Interest. Descriptive statistics: Numerical methods Measures of Central Tendency Conflicts of Interest I have no conflict of interest to disclose Biostatistics Kevin M. Sowinski, Pharm.D., FCCP Pharmacotherapy Webinar Review Course Tuesday, September 3, 2013 Descriptive statistics:

More information

Lecture Outline. Biost 590: Statistical Consulting. Stages of Scientific Studies. Scientific Method

Lecture Outline. Biost 590: Statistical Consulting. Stages of Scientific Studies. Scientific Method Biost 590: Statistical Consulting Statistical Classification of Scientific Studies; Approach to Consulting Lecture Outline Statistical Classification of Scientific Studies Statistical Tasks Approach to

More information

Cross-over trials. Martin Bland. Cross-over trials. Cross-over trials. Professor of Health Statistics University of York

Cross-over trials. Martin Bland. Cross-over trials. Cross-over trials. Professor of Health Statistics University of York Cross-over trials Martin Bland Professor of Health Statistics University of York http://martinbland.co.uk Cross-over trials Use the participant as their own control. Each participant gets more than one

More information

Ecological Statistics

Ecological Statistics A Primer of Ecological Statistics Second Edition Nicholas J. Gotelli University of Vermont Aaron M. Ellison Harvard Forest Sinauer Associates, Inc. Publishers Sunderland, Massachusetts U.S.A. Brief Contents

More information

Short Term (Immediate) Effects of Exercise

Short Term (Immediate) Effects of Exercise Short Term (Immediate) Effects of Exercise https://www.youtube.com/watch?v=wi9bvob9rxy https://www.youtube.com/watch?v=o8ttt3m8qzm&index=7&list=pl qvsmdkc-q6-8xkhb8gz4yxtyteonk9be Short Term (Immediate)

More information

Controlled Variables

Controlled Variables Controlled Variables A controlled variable is not changed Also called constants Allow for a fair test Answers the question "What do I keep the same?" Students of different ages were given the same jigsaw

More information

ANOVA in SPSS (Practical)

ANOVA in SPSS (Practical) ANOVA in SPSS (Practical) Analysis of Variance practical In this practical we will investigate how we model the influence of a categorical predictor on a continuous response. Centre for Multilevel Modelling

More information

Aalborg Universitet. Statistical analysis plan Riis, Allan; Karran, E. L. ; Jørgensen, Anette; Holst, S.; Rolving, N. Publication date: 2017

Aalborg Universitet. Statistical analysis plan Riis, Allan; Karran, E. L. ; Jørgensen, Anette; Holst, S.; Rolving, N. Publication date: 2017 Aalborg Universitet Statistical analysis plan Riis, Allan; Karran, E. L. ; Jørgensen, Anette; Holst, S.; Rolving, N. Publication date: 2017 Document Version Publisher's PDF, also known as Version of record

More information

ID# Exam 1 PS 306, Spring 2002

ID# Exam 1 PS 306, Spring 2002 ID# Exam 1 PS 306, Spring 2002 You should recognize the above cartoon as a fanciful way of reminding you that the Skidmore Honor Code is in effect. Work your way through the exam quickly and carefully,

More information

Chapter 10: Moderation, mediation and more regression

Chapter 10: Moderation, mediation and more regression Chapter 10: Moderation, mediation and more regression Smart Alex s Solutions Task 1 McNulty et al. (2008) found a relationship between a person s Attractiveness and how much Support they give their partner

More information

CHAPTER III METHODOLOGY

CHAPTER III METHODOLOGY 24 CHAPTER III METHODOLOGY This chapter presents the methodology of the study. There are three main sub-titles explained; research design, data collection, and data analysis. 3.1. Research Design The study

More information

ROC Curves. I wrote, from SAS, the relevant data to a plain text file which I imported to SPSS. The ROC analysis was conducted this way:

ROC Curves. I wrote, from SAS, the relevant data to a plain text file which I imported to SPSS. The ROC analysis was conducted this way: ROC Curves We developed a method to make diagnoses of anxiety using criteria provided by Phillip. Would it also be possible to make such diagnoses based on a much more simple scheme, a simple cutoff point

More information

Modeling Binary outcome

Modeling Binary outcome Statistics April 4, 2013 Debdeep Pati Modeling Binary outcome Test of hypothesis 1. Is the effect observed statistically significant or attributable to chance? 2. Three types of hypothesis: a) tests of

More information

d =.20 which means females earn 2/10 a standard deviation more than males

d =.20 which means females earn 2/10 a standard deviation more than males Sampling Using Cohen s (1992) Two Tables (1) Effect Sizes, d and r d the mean difference between two groups divided by the standard deviation for the data Mean Cohen s d 1 Mean2 Pooled SD r Pearson correlation

More information

Index. Springer International Publishing Switzerland 2017 T.J. Cleophas, A.H. Zwinderman, Modern Meta-Analysis, DOI /

Index. Springer International Publishing Switzerland 2017 T.J. Cleophas, A.H. Zwinderman, Modern Meta-Analysis, DOI / Index A Adjusted Heterogeneity without Overdispersion, 63 Agenda-driven bias, 40 Agenda-Driven Meta-Analyses, 306 307 Alternative Methods for diagnostic meta-analyses, 133 Antihypertensive effect of potassium,

More information

The Meta on Meta-Analysis. Presented by Endia J. Lindo, Ph.D. University of North Texas

The Meta on Meta-Analysis. Presented by Endia J. Lindo, Ph.D. University of North Texas The Meta on Meta-Analysis Presented by Endia J. Lindo, Ph.D. University of North Texas Meta-Analysis What is it? Why use it? How to do it? Challenges and benefits? Current trends? What is meta-analysis?

More information

Types of data and how they can be analysed

Types of data and how they can be analysed 1. Types of data British Standards Institution Study Day Types of data and how they can be analysed Martin Bland Prof. of Health Statistics University of York http://martinbland.co.uk In this lecture we

More information

Ph.D. Comprehensive Examination

Ph.D. Comprehensive Examination DEPARTMENT OF EPIDEMIOLOGY, BIOSTATISTICS, AND OCCUPATIONAL HEALTH Ph.D. Comprehensive Examination Epidemiology Stream Thursday, 6 December 2007 1:00 4:00 PM 1. This is a closed book exam. Bilingual dictionaries

More information

Joseph W Hogan Brown University & AMPATH February 16, 2010

Joseph W Hogan Brown University & AMPATH February 16, 2010 Joseph W Hogan Brown University & AMPATH February 16, 2010 Drinking and lung cancer Gender bias and graduate admissions AMPATH nutrition study Stratification and regression drinking and lung cancer graduate

More information

Experimental Studies. Statistical techniques for Experimental Data. Experimental Designs can be grouped. Experimental Designs can be grouped

Experimental Studies. Statistical techniques for Experimental Data. Experimental Designs can be grouped. Experimental Designs can be grouped Experimental Studies Statistical techniques for Experimental Data Require appropriate manipulations and controls Many different designs Consider an overview of the designs Examples of some of the analyses

More information

Before we get started:

Before we get started: Before we get started: http://arievaluation.org/projects-3/ AEA 2018 R-Commander 1 Antonio Olmos Kai Schramm Priyalathta Govindasamy Antonio.Olmos@du.edu AntonioOlmos@aumhc.org AEA 2018 R-Commander 2 Plan

More information

Edwards FloTrac Sensor & Performance Assessments of the FloTrac Sensor and Vigileo Monitor

Edwards FloTrac Sensor & Performance Assessments of the FloTrac Sensor and Vigileo Monitor Edwards FloTrac Sensor & Edwards Vigileo Monitor Performance Assessments of the FloTrac Sensor and Vigileo Monitor 1 Topics System Configuration Performance and Validation Dr. William T. McGee, Validation

More information

first three years of life

first three years of life Journal of Epidemiology and Community Health, 1981, 35, 18-184 Parental smoking and lower respiratory illness in the first three years of life D. M. FERGUSSON, L. J. HORWOOD, F. T. SHANNON, AND BRENT TAYLOR

More information

EXPERIMENTAL RESEARCH DESIGNS

EXPERIMENTAL RESEARCH DESIGNS ARTHUR PSYC 204 (EXPERIMENTAL PSYCHOLOGY) 14A LECTURE NOTES [02/28/14] EXPERIMENTAL RESEARCH DESIGNS PAGE 1 Topic #5 EXPERIMENTAL RESEARCH DESIGNS As a strict technical definition, an experiment is a study

More information

IAPT: Regression. Regression analyses

IAPT: Regression. Regression analyses Regression analyses IAPT: Regression Regression is the rather strange name given to a set of methods for predicting one variable from another. The data shown in Table 1 and come from a student project

More information

ID# Exam 3 PS 217, Spring 2009 (You must use your official student ID)

ID# Exam 3 PS 217, Spring 2009 (You must use your official student ID) ID# Exam 3 PS 217, Spring 2009 (You must use your official student ID) As always, the Skidmore Honor Code is in effect. You ll attest to your adherence to the code at the end of the exam. Read each question

More information

WELCOME! Lecture 11 Thommy Perlinger

WELCOME! Lecture 11 Thommy Perlinger Quantitative Methods II WELCOME! Lecture 11 Thommy Perlinger Regression based on violated assumptions If any of the assumptions are violated, potential inaccuracies may be present in the estimated regression

More information

Supplementary Online Content

Supplementary Online Content Supplementary Online Content Baker TB, Piper ME, Stein JH, et al. Effects of nicotine patch vs varenicline vs combination nicotine replacement therapy on smoking cessation at 26 weeks: a randomized clinical

More information

CHAPTER VI RESEARCH METHODOLOGY

CHAPTER VI RESEARCH METHODOLOGY CHAPTER VI RESEARCH METHODOLOGY 6.1 Research Design Research is an organized, systematic, data based, critical, objective, scientific inquiry or investigation into a specific problem, undertaken with the

More information

Meta-analysis: Basic concepts and analysis

Meta-analysis: Basic concepts and analysis Meta-analysis: Basic concepts and analysis Matthias Egger Institute of Social & Preventive Medicine (ISPM) University of Bern Switzerland www.ispm.ch Outline Rationale Definitions Steps The forest plot

More information

PubH 7405: REGRESSION ANALYSIS. Propensity Score

PubH 7405: REGRESSION ANALYSIS. Propensity Score PubH 7405: REGRESSION ANALYSIS Propensity Score INTRODUCTION: There is a growing interest in using observational (or nonrandomized) studies to estimate the effects of treatments on outcomes. In observational

More information

Lecture II: Difference in Difference. Causality is difficult to Show from cross

Lecture II: Difference in Difference. Causality is difficult to Show from cross Review Lecture II: Regression Discontinuity and Difference in Difference From Lecture I Causality is difficult to Show from cross sectional observational studies What caused what? X caused Y, Y caused

More information