Industrial and Manufacturing Engineering 786. Applied Biostatistics in Ergonomics Spring 2012 Kurt Beschorner
|
|
- Anastasia Terry
- 5 years ago
- Views:
Transcription
1 Industrial and Manufacturing Engineering 786 Applied Biostatistics in Ergonomics Spring 2012 Kurt Beschorner Note: This syllabus is not finalized and is subject to change up until the start of the class. Office: USR 201C Phone #: Office Hours: W 4:30-5:30 p.m. and by appointment Class Data: T 5:30-7:20 p.m. (Lecture) R 5:30-7:20 p.m. (Laboratory) Catalog data: Textbooks: Issues in Ergonomics: Measurement and Statistics. 3 cr. G. Statistical methods used in ergonomic studies to analyze, summarize, and report measurements and data. Jointly offered with & counts as repeat of NURS 786 & OCCUTHPY 786; with laboratory (2 HR LC & 2 HR LA/WK). Prereq Grad St., IND ENG 580(P); a course in statistics or cons. Instr. Dawson-Saunders, B. and Trapp, R.G., 1994, Basic & Clinical Biostatistics. Norwealk: Appleton & Lange. Portney, L.G. and Watkins, M.P., 2000, Foundations of Clinical Research: Applications to Practice, 2 nd Edition, New Jersey: Prentice-Hall. Handouts SPSS for Windows, Latest Ed., Student Version. References: Hennekens, C. H. and Buring, G.E., 1987, Epidemiology in Medicine. Boston: Little & Brown Co. Selected readings from current ergonomics literature. Goals: To emphasize the importance of statistics in ergonomics studies. To provide an understanding of of different types of epidemiological studies. To show students how to design and analyze ergonomics data using appropriate statistical methods. To show students how to determine sample size. Objectives: 1. Critique epidemiological studies in ergonomics. 2. Calculate inter- and intra subject variability and descriptive statistics. 3. Define and calculate incidence rate, prevalence, severity rate, odds ratio, relative risk, and rate ratio. 1
2 4. Estimate confidence intervals and test hypotheses. 5. Estimate and compare two or more means. 6. Estimate and compare proportions. 7. Fit linear, multiple and logistics regressions to experimental data. Teaching Methods: Lecture Laboratory Individual advisement 2
3 Applied Biostatistics in Ergonomics I & ME 786 (3 Credits) Instructor: Prerequisites: Kurt Beschorner, Ph.D. Grad. St.; I & ME 580; a course in statistics or cons. Instr. Week: Topics: Chapter:Pages 1. 1/24 Research Process Introduction to Epidemiology 2:7-22 Descriptive and analytical epidemiological studies Descriptive studies: Case report/case series Analytical studies Cross-sectional studies Case-control studies Retrospective cohort studies Prospective cohort studies Strength and limitations Critique of selected ergonomics studies 2. 1/31 Presenting and Summarizing of data 3:23-60 Scales of measurement Measures of central tendency Measures of spread Measures of nominal data Adjusted rates Relationship between two characteristics Incidence rate, Prevalence rate, Severity Rate Sensitivity and Specificity 3. 2/7 Probability 4:61-80 Independent and joint events Population & samples Methods of sampling (Random, systematic and stratified) Population parameters and sample statistics Binomial distribution Poisson distribution Normal distribution 3
4 4. 2/14 Single mean 4:80-90 Sampling distribution of the mean Center limit theorem Standard deviation v. standard error Confidence intervals & confidence limits Hypothesis testing 5. 2/21 Estimating and comparing single mean 5: t-distribution Confidence interval for the population mean Test of hypothesis for the mean Type I, Type II error 6. 2/28 Estimating and comparing proportions 5: Confidence interval Hypothesis test for a proportion Non-parametric procedure Sign test (Wilcoxon signed rank test) 7. 3/6 Review & Exam 8. 3/13 Comparing two Means 5: : Matched or paired design (t-test for paired design) McNemar test for Proportions t-test for two independent means Chi-square test for two independent proportions Sign test Wilcoxon signed ranks test 9. 3/27 Comparing three or more means (ANOVA) 7: Factor Treatments Model Error or residual Fixed-effects model Random-effects model Assumptions 10. 4/3 Two-way ANOVA 7: Multiple comparison procedures Randomized factorial design Randomized block design Confounding Latin Square design Repeated measures design 4
5 Analysis of covariance 11. 4/10 Associations and Relationships 3: : Pearson Product Moment Correlation coefficient t-test for correlation Coefficient of Determination Fisher s z transformation Confidence interval Spearman s rho Relative Risk Odds Ratio Confidence intervals for the relative risk and odds ratio 12. 4/17 Simple linear regression 8: Homogeneity Standard error of estimate Inferences Analysis of residuals Regression with repeat measures Common errors 13. 4/24 Multiple regression 8: Stepwise multiple regression Polynomial regression Missing observation 14. 5/1 Logistic regression 10: /8 Inter-rater Reliability 5: Kappa ICC 16. 5/15 Take-home final exam: due 5/19 at 12:00PM Grading System Midterm 20% Quizzes 20% Laboratory assignments 30% Take home final exam 30% 5
MTH 225: Introductory Statistics
Marshall University College of Science Mathematics Department MTH 225: Introductory Statistics Course catalog description Basic probability, descriptive statistics, fundamental statistical inference procedures
More informationBiostatistics II
Biostatistics II 514-5509 Course Description: Modern multivariable statistical analysis based on the concept of generalized linear models. Includes linear, logistic, and Poisson regression, survival analysis,
More informationPTHP 7101 Research 1 Chapter Assignments
PTHP 7101 Research 1 Chapter Assignments INSTRUCTIONS: Go over the questions/pointers pertaining to the chapters and turn in a hard copy of your answers at the beginning of class (on the day that it is
More informationSTATISTICS AND RESEARCH DESIGN
Statistics 1 STATISTICS AND RESEARCH DESIGN These are subjects that are frequently confused. Both subjects often evoke student anxiety and avoidance. To further complicate matters, both areas appear have
More informationStatistics 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 information2.75: 84% 2.5: 80% 2.25: 78% 2: 74% 1.75: 70% 1.5: 66% 1.25: 64% 1.0: 60% 0.5: 50% 0.25: 25% 0: 0%
Capstone Test (will consist of FOUR quizzes and the FINAL test grade will be an average of the four quizzes). Capstone #1: Review of Chapters 1-3 Capstone #2: Review of Chapter 4 Capstone #3: Review of
More informationUnderstandable Statistics
Understandable Statistics correlated to the Advanced Placement Program Course Description for Statistics Prepared for Alabama CC2 6/2003 2003 Understandable Statistics 2003 correlated to the Advanced Placement
More informationStatistical 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 informationSTATISTICS IN CLINICAL AND TRANSLATIONAL RESEARCH
09/07/11 1 Overview and Descriptive Statistics a. Application of statistics in biomedical research b. Type of data c. Graphic representation of data d. Summary statistics: central tendency and dispersion
More informationFigure: Presentation slides:
Joni Lakin David Shannon Margaret Ross Abbot Packard Auburn University Auburn University Auburn University University of West Georgia Figure: http://www.auburn.edu/~jml0035/eera_chart.pdf Presentation
More informationHOW STATISTICS IMPACT PHARMACY PRACTICE?
HOW STATISTICS IMPACT PHARMACY PRACTICE? CPPD at NCCR 13 th June, 2013 Mohamed Izham M.I., PhD Professor in Social & Administrative Pharmacy Learning objective.. At the end of the presentation pharmacists
More informationChapter 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 informationTable of Contents. Plots. Essential Statistics for Nursing Research 1/12/2017
Essential Statistics for Nursing Research Kristen Carlin, MPH Seattle Nursing Research Workshop January 30, 2017 Table of Contents Plots Descriptive statistics Sample size/power Correlations Hypothesis
More informationPrepared by: Assoc. Prof. Dr Bahaman Abu Samah Department of Professional Development and Continuing Education Faculty of Educational Studies
Prepared by: Assoc. Prof. Dr Bahaman Abu Samah Department of Professional Development and Continuing Education Faculty of Educational Studies Universiti Putra Malaysia Serdang At the end of this session,
More informationPRINCIPLES OF STATISTICS
PRINCIPLES OF STATISTICS STA-201-TE This TECEP is an introduction to descriptive and inferential statistics. Topics include: measures of central tendency, variability, correlation, regression, hypothesis
More informationQuantitative Methods in Computing Education Research (A brief overview tips and techniques)
Quantitative Methods in Computing Education Research (A brief overview tips and techniques) Dr Judy Sheard Senior Lecturer Co-Director, Computing Education Research Group Monash University judy.sheard@monash.edu
More informationJournal of Biostatistics and Epidemiology
Journal of Biostatistics and Epidemiology Original Article Usage of statistical methods and study designs in publication of specialty of general medicine and its secular changes Swati Patel 1*, Vipin Naik
More informationAnalysis and Interpretation of Data Part 1
Analysis and Interpretation of Data Part 1 DATA ANALYSIS: PRELIMINARY STEPS 1. Editing Field Edit Completeness Legibility Comprehensibility Consistency Uniformity Central Office Edit 2. Coding Specifying
More informationNon-Randomized Trials
Non-Randomized Trials ADA Research Toolkit ADA Research Committee 2011 American Dietetic Association. This presentation may be used for educational purposes Learning Objectives At the end of this presentation
More informationCLINICAL BIOSTATISTICS
09/06/17 1 Overview and Descriptive Statistics a. Application of statistics in biomedical research b. Type of data c. Graphic representation of data d. Summary statistics: central tendency and dispersion
More informationBasic 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 informationChoosing the Correct Statistical Test
Choosing the Correct Statistical Test T racie O. Afifi, PhD Departments of Community Health Sciences & Psychiatry University of Manitoba Department of Community Health Sciences COLLEGE OF MEDICINE, FACULTY
More informationApplications of Regression Models in Epidemiology
Applications of Regression Models in Epidemiology Applications of Regression Models in Epidemiology Erick Suárez, Cynthia M. Pérez, Roberto Rivera, and Melissa N. Martínez Copyright 2017 by John Wiley
More informationDoctoral Dissertation Boot Camp Quantitative Methods Kamiar Kouzekanani, PhD January 27, The Scientific Method of Problem Solving
Doctoral Dissertation Boot Camp Quantitative Methods Kamiar Kouzekanani, PhD January 27, 2018 The Scientific Method of Problem Solving The conceptual phase Reviewing the literature, stating the problem,
More informationinvestigate. educate. inform.
investigate. educate. inform. Research Design What drives your research design? The battle between Qualitative and Quantitative is over Think before you leap What SHOULD drive your research design. Advanced
More informationFSHN 265 Nutrition for Healthy and Active Lifestyles Spring :10-4:00 MWF 117 Mackay Hall
FSHN 265 Nutrition for Healthy and Active Lifestyles Spring 2017 3:10-4:00 MWF 117 Mackay Hall Instructors: Matthew J. Rowling, PhD Associate Professor 224C Mackay Hall 220 MacKay (mailbox) Phone: 515-294-9105
More informationDepartment of Epidemiology and Population Health
401 Department of Epidemiology and Population Health Chairperson: Professors: Professor of Public Health Practice: Assistant Professors: Assistant Research Professors: Senior Lecturer: Instructor: Chaaya,
More informationWhat you should know before you collect data. BAE 815 (Fall 2017) Dr. Zifei Liu
What you should know before you collect data BAE 815 (Fall 2017) Dr. Zifei Liu Zifeiliu@ksu.edu Types and levels of study Descriptive statistics Inferential statistics How to choose a statistical test
More informationList of Figures. List of Tables. Preface to the Second Edition. Preface to the First Edition
List of Figures List of Tables Preface to the Second Edition Preface to the First Edition xv xxv xxix xxxi 1 What Is R? 1 1.1 Introduction to R................................ 1 1.2 Downloading and Installing
More informationApplied Medical. Statistics Using SAS. Geoff Der. Brian S. Everitt. CRC Press. Taylor Si Francis Croup. Taylor & Francis Croup, an informa business
Applied Medical Statistics Using SAS Geoff Der Brian S. Everitt CRC Press Taylor Si Francis Croup Boca Raton London New York CRC Press is an imprint of the Taylor & Francis Croup, an informa business A
More informationSPRING GROVE AREA SCHOOL DISTRICT. Course Description. Instructional Strategies, Learning Practices, Activities, and Experiences.
SPRING GROVE AREA SCHOOL DISTRICT PLANNED COURSE OVERVIEW Course Title: Basic Introductory Statistics Grade Level(s): 11-12 Units of Credit: 1 Classification: Elective Length of Course: 30 cycles Periods
More informationSUMMER 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 informationEcological 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 informationBusiness 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 informationSurvey research (Lecture 1) Summary & Conclusion. Lecture 10 Survey Research & Design in Psychology James Neill, 2015 Creative Commons Attribution 4.
Summary & Conclusion Lecture 10 Survey Research & Design in Psychology James Neill, 2015 Creative Commons Attribution 4.0 Overview 1. Survey research 2. Survey design 3. Descriptives & graphing 4. Correlation
More informationSurvey research (Lecture 1)
Summary & Conclusion Lecture 10 Survey Research & Design in Psychology James Neill, 2015 Creative Commons Attribution 4.0 Overview 1. Survey research 2. Survey design 3. Descriptives & graphing 4. Correlation
More informationMidterm 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 informationSelecting the Right Data Analysis Technique
Selecting the Right Data Analysis Technique Levels of Measurement Nominal Ordinal Interval Ratio Discrete Continuous Continuous Variable Borgatta and Bohrnstedt state that "the most of central constructs
More informationSummary & Conclusion. Lecture 10 Survey Research & Design in Psychology James Neill, 2016 Creative Commons Attribution 4.0
Summary & Conclusion Lecture 10 Survey Research & Design in Psychology James Neill, 2016 Creative Commons Attribution 4.0 Overview 1. Survey research and design 1. Survey research 2. Survey design 2. Univariate
More informationStatistics represent an essential part of a study because, regardless
RESEARCH PRIMER Creating a Data Analysis Plan: What to Consider When Choosing Statistics for a Study Scot H Simpson There are three kinds of lies: lies, damned lies, and statistics. Mark Twain 1 INTRODUCTION
More informationTypes of Statistics. Censored data. Files for today (June 27) Lecture and Homework INTRODUCTION TO BIOSTATISTICS. Today s Outline
INTRODUCTION TO BIOSTATISTICS FOR GRADUATE AND MEDICAL STUDENTS Files for today (June 27) Lecture and Homework Descriptive Statistics and Graphically Visualizing Data Lecture #2 (1 file) PPT presentation
More informationINTRODUCTION TO MEDICAL RESEARCH: ESSENTIAL SKILLS
INTRODUCTION TO MEDICAL RESEARCH: ESSENTIAL SKILLS SCALES OF MEASUREMENT AND WAYS OF SUMMARIZING DATA Alecsandra IRIMIE-ANA 1 1. Psychiatry Hospital Prof. Dr. Alexandru Obregia ABSTRACT Regardless the
More informationSyllabus Spring 2013
1 Syllabus Spring 2013 Title Behavior Modification Number Psych 322-001 Discipline Psychology Description Behavior modification is a comprehensive technology for the improvement of behavior based on scientifically
More informationRESEARCH METHODS. A Process of Inquiry. tm HarperCollinsPublishers ANTHONY M. GRAZIANO MICHAEL L RAULIN
RESEARCH METHODS A Process of Inquiry ANTHONY M. GRAZIANO MICHAEL L RAULIN STA TE UNIVERSITY OF NEW YORK A T BUFFALO tm HarperCollinsPublishers CONTENTS Instructor's Preface xv Student's Preface xix 1
More informationBiostatistics for Med Students. Lecture 1
Biostatistics for Med Students Lecture 1 John J. Chen, Ph.D. Professor & Director of Biostatistics Core UH JABSOM JABSOM MD7 February 14, 2018 Lecture note: http://biostat.jabsom.hawaii.edu/education/training.html
More informationSTA 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 informationReflection Questions for Math 58B
Reflection Questions for Math 58B Johanna Hardin Spring 2017 Chapter 1, Section 1 binomial probabilities 1. What is a p-value? 2. What is the difference between a one- and two-sided hypothesis? 3. What
More informationStudy Guide for the Final Exam
Study Guide for the Final Exam When studying, remember that the computational portion of the exam will only involve new material (covered after the second midterm), that material from Exam 1 will make
More informationFSHN 265 Nutrition for Healthy and Active Lifestyles Spring :10-4:00 MWF 117 Mackay Hall
FSHN 265 Nutrition for Healthy and Active Lifestyles Spring 2016 3:10-4:00 MWF 117 Mackay Hall Instructors: Matthew J. Rowling, PhD Associate Professor 1103 Human Nutritional Sciences Building 220 MacKay
More informationSW 9300 Applied Regression Analysis and Generalized Linear Models 3 Credits. Master Syllabus
SW 9300 Applied Regression Analysis and Generalized Linear Models 3 Credits Master Syllabus I. COURSE DOMAIN AND BOUNDARIES This is the second course in the research methods sequence for WSU doctoral students.
More informationUniversity of Washington Division of Occupational Therapy Prerequisite guide for University of Washington Courses
Natural Sciences Survey of Physiology Human physiology (for non-majors). BIOL 118 Survey of Physiology (5) NW Human physiology, for nonmajors and health sciences students. Offered: AWSpS. General Anatomy
More informationAMSc Research Methods Research approach IV: Experimental [2]
AMSc Research Methods Research approach IV: Experimental [2] Marie-Luce Bourguet mlb@dcs.qmul.ac.uk Statistical Analysis 1 Statistical Analysis Descriptive Statistics : A set of statistical procedures
More informationSTATISTICS & PROBABILITY
STATISTICS & PROBABILITY LAWRENCE HIGH SCHOOL STATISTICS & PROBABILITY CURRICULUM MAP 2015-2016 Quarter 1 Unit 1 Collecting Data and Drawing Conclusions Unit 2 Summarizing Data Quarter 2 Unit 3 Randomness
More informationNORTH SOUTH UNIVERSITY TUTORIAL 1
NORTH SOUTH UNIVERSITY TUTORIAL 1 REVIEW FROM BIOSTATISTICS I AHMED HOSSAIN,PhD Data Management and Analysis AHMED HOSSAIN,PhD - Data Management and Analysis 1 DATA TYPES/ MEASUREMENT SCALES Categorical:
More informationisc ove ring i Statistics sing SPSS
isc ove ring i Statistics sing SPSS S E C O N D! E D I T I O N (and sex, drugs and rock V roll) A N D Y F I E L D Publications London o Thousand Oaks New Delhi CONTENTS Preface How To Use This Book Acknowledgements
More informationData Analysis with SPSS
Data Analysis with SPSS A First Course in Applied Statistics Fourth Edition Stephen Sweet Ithaca College Karen Grace-Martin The Analysis Factor Allyn & Bacon Boston Columbus Indianapolis New York San Francisco
More informationLecture 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 informationLecture Outline. Biost 517 Applied Biostatistics I. Purpose of Descriptive Statistics. Purpose of Descriptive Statistics
Biost 517 Applied Biostatistics I Scott S. Emerson, M.D., Ph.D. Professor of Biostatistics University of Washington Lecture 3: Overview of Descriptive Statistics October 3, 2005 Lecture Outline Purpose
More informationEffect of Sample Size on Correlation and Regression Coefficients
Effect of Sample Size on Correlation and Regression Coefficients Swati Gupta 1 Research Scholar, Department of Education, Aligarh Muslim University, India Dr. Mamun Ali Naji Qasem 2 Faculty of Education,
More informationA 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 informationDr. 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 informationMeasures of Dispersion. Range. Variance. Standard deviation. Measures of Relationship. Range. Variance. Standard deviation.
Measures of Dispersion Range Variance Standard deviation Range The numerical difference between the highest and lowest scores in a distribution It describes the overall spread between the highest and lowest
More informationPSYC3010 Advanced Statistics for Psychology
PSYC3010 Advanced Statistics for Psychology Unit of Study Code: PSYC3010 Coordinators: REGRESSION - SECTION 1 Dr Sabina Kleitman Office: BM441 Phone: 9351 7703 E- mail: sabina.kleitman@sydney.edu.au ANOVA
More informationIntroduction to Multilevel Models for Longitudinal and Repeated Measures Data
Introduction to Multilevel Models for Longitudinal and Repeated Measures Data Today s Class: Features of longitudinal data Features of longitudinal models What can MLM do for you? What to expect in this
More informationApplied Regression The University of Texas at Dallas EPPS 6316, Spring 2013 Tuesday, 7pm 9:45pm Room: FO 2.410
Applied Regression The University of Texas at Dallas EPPS 6316, Spring 2013 Tuesday, 7pm 9:45pm Room: FO 2.410 Professor: J.C. Barnes, Ph.D. Email: jcbarnes@utdallas.edu Phone: (972) 883-2046 Office: GR
More informationBrown University Department of Emergency Medicine Providence, RI
Brown University Department of Emergency Medicine Providence, RI 02903-4923 RESEARCH CURRICULUM Syllabus Sep 2015 May 2016 3 rd and 4 th Tuesdays of the month 10:30 AM 12:00 PM 55 Claverick Street Co-Director
More informationIntroduction to Multilevel Models for Longitudinal and Repeated Measures Data
Introduction to Multilevel Models for Longitudinal and Repeated Measures Data Today s Class: Features of longitudinal data Features of longitudinal models What can MLM do for you? What to expect in this
More informationMMI 409 Spring 2009 Final Examination Gordon Bleil. 1. Is there a difference in depression as a function of group and drug?
MMI 409 Spring 2009 Final Examination Gordon Bleil Table of Contents Research Scenario and General Assumptions Questions for Dataset (Questions are hyperlinked to detailed answers) 1. Is there a difference
More informationEvidence Based Medicine
Course Goals Goals 1. Understand basic concepts of evidence based medicine (EBM) and how EBM facilitates optimal patient care. 2. Develop a basic understanding of how clinical research studies are designed
More informationThe University of North Carolina at Chapel Hill School of Social Work
The University of North Carolina at Chapel Hill School of Social Work SOWO 918: Applied Regression Analysis and Generalized Linear Models Spring Semester, 2014 Instructor Shenyang Guo, Ph.D., Room 524j,
More informationStatistical analysis DIANA SAPLACAN 2017 * SLIDES ADAPTED BASED ON LECTURE NOTES BY ALMA LEORA CULEN
Statistical analysis DIANA SAPLACAN 2017 * SLIDES ADAPTED BASED ON LECTURE NOTES BY ALMA LEORA CULEN Vs. 2 Background 3 There are different types of research methods to study behaviour: Descriptive: observations,
More informationLearning 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 information9/4/2013. 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 informationCovered in Research Design/Grant Writing. Covered in Writing for Scientific Publication. (c) Alan Schwartz, UIC DME,
MHPE 494: Data Analysis Alan Schwartz, PhD Matt Lineberry, PhD Department of Medical Education College of Medicine University of Illinois at Chicago Welcome! Your name, specialty, institution, position
More informationSan José State University Department of Kinesiology KIN 158, Biomechanics, Section 01, Spring 2013
San José State University Department of Kinesiology KIN 158, Biomechanics, Section 01, Spring 2013 Instructors: Class Days, Times, and Rooms: Prerequisites: Dr. James Kao Office: SSC 513 Phone: 408-924-3026
More informationPart 1. Online Session: Math Review and Math Preparation for Course 5 minutes Introduction 45 minutes Reading and Practice Problem Assignment
Course Schedule PREREQUISITE (Pre-Class) Advanced Education Diagnostic Test 10 minutes Excel 2007 Exercise SECTION 1. (Completed before face-to-face sections begin) (2 hours) Part 1. Online Session: Math
More informationPRACTICAL 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 informationPONDICHERRY UNIVERSITY DEPARTMENT OF STATISTICS POST GRADUATE DIPLOMA IN STATISTICAL AND RESEARCH METHODS (SEMESTER PATTERN)
PONDICHERRY UNIVERSITY DEPARTMENT OF STATISTICS POST GRADUATE DIPLOMA IN STATISTICAL AND RESEARCH METHODS (SEMESTER PATTERN) Effective from 2012-2013 (onwards) PONDICHERRY UNIVERSITY POST GRADUATE DIPLOMA
More informationDescribe what is meant by a placebo Contrast the double-blind procedure with the single-blind procedure Review the structure for organizing a memo
Business Statistics The following was provided by Dr. Suzanne Delaney, and is a comprehensive review of Business Statistics. The workshop instructor will provide relevant examples during the Skills Assessment
More informationStatistics for Psychosocial Research Session 1: September 1 Bill
Statistics for Psychosocial Research Session 1: September 1 Bill Introduction to Staff Purpose of the Course Administration Introduction to Test Theory Statistics for Psychosocial Research Overview: a)
More informationChapter 2 Organizing and Summarizing Data. Chapter 3 Numerically Summarizing Data. Chapter 4 Describing the Relation between Two Variables
Tables and Formulas for Sullivan, Fundamentals of Statistics, 4e 014 Pearson Education, Inc. Chapter Organizing and Summarizing Data Relative frequency = frequency sum of all frequencies Class midpoint:
More informationUnit outcomes. Summary & Conclusion. Lecture 10 Survey Research & Design in Psychology James Neill, 2018 Creative Commons Attribution 4.0.
Summary & Conclusion Image source: http://commons.wikimedia.org/wiki/file:pair_of_merops_apiaster_feeding_cropped.jpg Lecture 10 Survey Research & Design in Psychology James Neill, 2018 Creative Commons
More informationUnit outcomes. Summary & Conclusion. Lecture 10 Survey Research & Design in Psychology James Neill, 2018 Creative Commons Attribution 4.0.
Summary & Conclusion Image source: http://commons.wikimedia.org/wiki/file:pair_of_merops_apiaster_feeding_cropped.jpg Lecture 10 Survey Research & Design in Psychology James Neill, 2018 Creative Commons
More information11/18/2013. Correlational Research. Correlational Designs. Why Use a Correlational Design? CORRELATIONAL RESEARCH STUDIES
Correlational Research Correlational Designs Correlational research is used to describe the relationship between two or more naturally occurring variables. Is age related to political conservativism? Are
More informationBIOSTATISTICAL METHODS
BIOSTATISTICAL METHODS FOR TRANSLATIONAL & CLINICAL RESEARCH PROPENSITY SCORE Confounding Definition: A situation in which the effect or association between an exposure (a predictor or risk factor) and
More informationOn the purpose of testing:
Why Evaluation & Assessment is Important Feedback to students Feedback to teachers Information to parents Information for selection and certification Information for accountability Incentives to increase
More informationChallenges of Observational and Retrospective Studies
Challenges of Observational and Retrospective Studies Kyoungmi Kim, Ph.D. March 8, 2017 This seminar is jointly supported by the following NIH-funded centers: Background There are several methods in which
More informationPSY 216: Elementary Statistics Exam 4
Name: PSY 16: Elementary Statistics Exam 4 This exam consists of multiple-choice questions and essay / problem questions. For each multiple-choice question, circle the one letter that corresponds to the
More informationRegression CHAPTER SIXTEEN NOTE TO INSTRUCTORS OUTLINE OF RESOURCES
CHAPTER SIXTEEN Regression NOTE TO INSTRUCTORS This chapter includes a number of complex concepts that may seem intimidating to students. Encourage students to focus on the big picture through some of
More informationEPIDEMIOLOGY. Training module
1. Scope of Epidemiology Definitions Clinical epidemiology Epidemiology research methods Difficulties in studying epidemiology of Pain 2. Measures used in Epidemiology Disease frequency Disease risk Disease
More informationEvidence-Based Medicine Journal Club. A Primer in Statistics, Study Design, and Epidemiology. August, 2013
Evidence-Based Medicine Journal Club A Primer in Statistics, Study Design, and Epidemiology August, 2013 Rationale for EBM Conscientious, explicit, and judicious use Beyond clinical experience and physiologic
More informationBasic Steps in Planning Research. Dr. P.J. Brink and Dr. M.J. Wood
Basic Steps in Planning Research Dr. P.J. Brink and Dr. M.J. Wood Research Levels Level 1: There is little or no literature available on the topic or on the population. The purpose is to describe what
More informationAliza Ben-Zacharia Heidi Maloni
Aliza Ben-Zacharia Heidi Maloni Presentation outline Introduction Research Question? Hypotheses Study Design Tools/Variables EDSS 25 FW MRI Relapses Demographics Collection of Data/SPSS Sample Size & Power
More informationDaniel Boduszek University of Huddersfield
Daniel Boduszek University of Huddersfield d.boduszek@hud.ac.uk Introduction to Correlation SPSS procedure for Pearson r Interpretation of SPSS output Presenting results Partial Correlation Correlation
More informationBEST PRACTICES FOR IMPLEMENTATION AND ANALYSIS OF PAIN SCALE PATIENT REPORTED OUTCOMES IN CLINICAL TRIALS
BEST PRACTICES FOR IMPLEMENTATION AND ANALYSIS OF PAIN SCALE PATIENT REPORTED OUTCOMES IN CLINICAL TRIALS Nan Shao, Ph.D. Director, Biostatistics Premier Research Group, Limited and Mark Jaros, Ph.D. Senior
More informationGlobal Clinical Trials Innovation Summit Berlin October 2016
Global Clinical Trials Innovation Summit Berlin 20-21 October 2016 BIOSTATISTICS A FEW ESSENTIALS: USE AND APPLICATION IN CLINICAL RESEARCH Berlin, 20 October 2016 Dr. Aamir Shaikh Founder, Assansa Here
More informationStatistics Guide. Prepared by: Amanda J. Rockinson- Szapkiw, Ed.D.
This guide contains a summary of the statistical terms and procedures. This guide can be used as a reference for course work and the dissertation process. However, it is recommended that you refer to statistical
More informationDay 11: Measures of Association and ANOVA
Day 11: Measures of Association and ANOVA Daniel J. Mallinson School of Public Affairs Penn State Harrisburg mallinson@psu.edu PADM-HADM 503 Mallinson Day 11 November 2, 2017 1 / 45 Road map Measures of
More information