STATISTICS IN CLINICAL AND TRANSLATIONAL RESEARCH
|
|
|
- Randell Goodwin
- 5 years ago
- Views:
Transcription
1 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 e. Introduction to R Ch. 1, 2 Introduce Project: Statistical Analysis Plan and Report of a Clinical Trial 09/14/11 2 Probability and Probability Distributions a. Probability b. Conditional probability c. Statistical methods in diagnostic medicine and screening test d. Binomial distribution e. Normal distribution 09/21/11 3 Estimation a. Sampling distribution b. Confidence interval 1) Population means 2) Population proportions c. Sample size estimation based on accuracy of estimation Ch. 3, 4 Ch. 5, 6 Homework Assignment Due: Summary Statistics Page 1 of 5 This course has been approved by GSBS@RWJMS 03/18/09 Version: 08/18/11
2 09/28/11 4 Hypothesis Testing Ch. 7 a. Type I error, Type II error b. Steps of performing hypothesis testing 1) Hypothesis testing on population means 2) Hypothesis testing on population proportions c. Power and sample size estimation 10/05/11 5 Analysis of Variance a. Comparisons between and among means b. Multiple comparisons Ch. 8 Homework Assignment Due: Confidence interval and hypothesis testing 10/12/11 6 Analysis of Categorical Data a. Chi-square test b. Relative risk and Odds ratio c. Sample size estimation based on proportions Homework Assignment Due: Sample size estimation based on sample means 10/19/11 7 Statistical Analysis Plan in Clinical Trials a. Study design in drug development b. Statistical considerations 1) Sample size determination 2) Endpoint definitions 3) Analyses (safety, efficacy) 4) Interim analyses Ch. 12 Ch. 14 Page 2 of 5 This course has been approved by GSBS@RWJMS 03/18/09 Version: 08/18/11
3 10/26/11 8 Correlation and Regression a. Correlation b. Simple linear regression Ch. 9 Project Part I Due: Statistical Analysis Plan 11/02/11 9 Multiple Linear Regression and Logistic Regression a. Multiple linear regression b. Model building and diagnosis c. Logistic regression 11/09/11 10 Nonparametric Statistics a. Sign test b. Wilcoxon sign rank test c. Wilcoxon rank sum test d. Kruskal Wallis test 11/16/11 11 Survival Analysis a. Kaplan-Meier procedure b. Log-rank test c. Cox proportional hazard model Homework Assignment Due: Regression Analysis and Nonparametric Analysis 11/23/11 12 Biostatistics in the Genomic Age a. Microarray data analysis Ch. 10, 11 Ch. 13 Ch. 12 Review Assigned Readings Page 3 of 5 This course has been approved by GSBS@RWJMS 03/18/09 Version: 08/18/11
4 11/30/11 13 Pharmacoepidemiology and Meta-Analysis a. Drug utilization b. Drug safety c. Drug effectiveness Biostatistics in the Genomic Age a. Microarray data analysis Project Part II Due: Statistical Analysis Report 12/07/11 14 Reading the Medical Literature a. Use of statistical analysis in medical literature b. Misuse of statistical analysis in medical literature 12/14/11 15 Project Presentation a. Power Point presentation of Projects Required Textbooks: Biostatistics: A Foundation for Analysis in the Health Sciences, 9 th Edition (2008) by Wayne W. Daniel - ISBN-10: , ISBN-13: Available on Amazon at : Statistics/dp/ /ref=sr_11_1?ie=UTF8&qid= &sr=11-1 Required Software: R: A Language and Environment for Statistical Computing - FREE - Available from Page 4 of 5 This course has been approved by GSBS@RWJMS 03/18/09 Version: 08/18/11
5 References and Recommended Books Intuitive Biostatistics - Harvey Motulsky (1995) Oxford University Press - ISBN-10: ; ISBN-13: Principles of Biostatistics, 2nd Edition - M. Pagano & K. Gauvreau (2000) Duxbury Press - ISBN-10: ; ISBN-13: Fundamentals of Biostatistics, 6th Edition - Bernard Rosner (2005) Duxbury Press - ISBN-10: ; ISBN-13: Assignments for Evaluation: 1) Homework Assignments (n=4) (30%) a. Questions based on specific lecture topics i. Use R to perform analysis ii. Interpretation of results 2) Projects a. Part I: Statistical Analysis Plan (20%) b. Part II: Statistical Analysis Report (20%) c. Final Power Point Presentation (30%) Contract Information Yen-Hong Kuo, Ph.D. Jersey Shore University Medical Center yenhong.kuo@gmail.com (Please use "CTSC 5103S" at the beginning of Subject line) TEL : Page 5 of 5 This course has been approved by GSBS@RWJMS 03/18/09 Version: 08/18/11
CLINICAL 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
Biostatistics 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,
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
Choosing 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
Types 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
Applied 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
From Biostatistics Using JMP: A Practical Guide. Full book available for purchase here. Chapter 1: Introduction... 1
From Biostatistics Using JMP: A Practical Guide. Full book available for purchase here. Contents Dedication... iii Acknowledgments... xi About This Book... xiii About the Author... xvii Chapter 1: Introduction...
Table 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
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
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:
BIOSTATISTICAL METHODS AND RESEARCH DESIGNS. Xihong Lin Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
BIOSTATISTICAL METHODS AND RESEARCH DESIGNS Xihong Lin Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA Keywords: Case-control study, Cohort study, Cross-Sectional Study, Generalized
Industrial and Manufacturing Engineering 786. Applied Biostatistics in Ergonomics Spring 2012 Kurt Beschorner
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.
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
Critical Appraisal of Scientific Literature. André Valdez, PhD Stanford Health Care Stanford University School of Medicine
Critical Appraisal of Scientific Literature André Valdez, PhD Stanford Health Care Stanford University School of Medicine Learning Objectives Understand the major components of a scientific article Learn
POST GRADUATE DIPLOMA IN BIOETHICS (PGDBE) Term-End Examination June, 2016 MHS-014 : RESEARCH METHODOLOGY
No. of Printed Pages : 12 MHS-014 POST GRADUATE DIPLOMA IN BIOETHICS (PGDBE) Term-End Examination June, 2016 MHS-014 : RESEARCH METHODOLOGY Time : 2 hours Maximum Marks : 70 PART A Attempt all questions.
Certificate Courses in Biostatistics
Certificate Courses in Biostatistics Term I : September December 2015 Term II : Term III : January March 2016 April June 2016 Course Code Module Unit Term BIOS5001 Introduction to Biostatistics 3 I BIOS5005
Analysis 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
STATISTICS APPLIED TO CLINICAL TRIALS SECOND EDITION
STATISTICS APPLIED TO CLINICAL TRIALS SECOND EDITION Statistics Applied to Clinical Trials, Second Edition by TON J. CLEOPHAS, MD, PhD, Associate-Professor, President American College of Angiology, Co-Chair
Evidence 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
Overview. Goals of Interpretation. Methodology. Reasons to Read and Evaluate
Overview Critical Literature Evaluation and Biostatistics Ahl Ashley N. Lewis, PharmD, BCPS Clinical Specialist, Drug Information UNC Hospitals Background Review of basic statistics Statistical tests Clinical
Title: A new statistical test for trends: establishing the properties of a test for repeated binomial observations on a set of items
Title: A new statistical test for trends: establishing the properties of a test for repeated binomial observations on a set of items Introduction Many studies of therapies with single subjects involve
Journal 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
HOW 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
Supplementary Online Content
Supplementary Online Content Ebbing M, Bønaa KH, Nygård O, et al. Cancer incidence and mortality after treatment with folic acid and vitamin B 1. JAMA. 9;3(19):119-1. etable 1. Circulating Levels of B
ClinicalTrials.gov "Basic Results" Data Element Definitions (DRAFT)
ClinicalTrials.gov "Basic Results" Data Element Definitions (DRAFT) January 9, 2009 * Required by ClinicalTrials.gov [*] Conditionally required by ClinicalTrials.gov (FDAAA) May be required to comply with
BEST 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
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
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
What 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
This article is the second in a series in which I
COMMON STATISTICAL ERRORS EVEN YOU CAN FIND* PART 2: ERRORS IN MULTIVARIATE ANALYSES AND IN INTERPRETING DIFFERENCES BETWEEN GROUPS Tom Lang, MA Tom Lang Communications This article is the second in a
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
Methodology for Statistical Analysis of
Environmental Health Perspectives Vol. 68, pp. 5-9, 1986 Methodology for Statistical Analysis of SENCAR Mouse Skin Assay Data by Judy A. Stober* Various response measures and statistical methods appropriate
CHL 5225 H Advanced Statistical Methods for Clinical Trials. CHL 5225 H The Language of Clinical Trials
CHL 5225 H Advanced Statistical Methods for Clinical Trials Two sources for course material 1. Electronic blackboard required readings 2. www.andywillan.com/chl5225h code of conduct course outline schedule
School of Population and Public Health SPPH 503 Epidemiologic methods II January to April 2019
School of Population and Public Health SPPH 503 Epidemiologic methods II January to April 2019 Time: Tuesday, 1330 1630 Location: School of Population and Public Health, UBC Course description Students
Key Statistical Concepts in Cancer Research
Key Statistical Concepts in Cancer Research Qian Shi, PhD, and Daniel J. Sargent, PhD The authors are affiliated with the Department of Health Science Research at the Mayo Clinic in Rochester, Minnesota.
List 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
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
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
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
SIR- RFS Journal Primer
Comparison of Combina-on Therapies in the Management of Hepatocellular Carcinoma: Transarterial Chemoemboliza-on with Radiofrequency Abla-on versus Microwave Abla-on SIR- RFS Journal Primer Quick Summary
Understandable 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
isc 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
AMSc Research Methods Research approach IV: Experimental [2]
![AMSc Research Methods Research approach IV: Experimental [2]](/thumbs/96/127502980.jpg "AMSc 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
2.75: 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
Brown 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
Review on Tumour Doubling Time (DT) To review the studies that measuring the actual tumour doubling time for human cancers.
Review on Tumour Doubling Time (DT) Objective To review the studies that measuring the actual tumour doubling time for human cancers. Methods We searched the Medline database from January 1966 to January
Chapter 2. Behavioral Variability and Research
Chapter 2 Behavioral Variability and Research Chapter Outline Variability and the Research Process Variance: An Index of Variability Systematic and Error Variance Effect Size: Assessing the Strength of
The Statistical Analysis of Failure Time Data
The Statistical Analysis of Failure Time Data Second Edition JOHN D. KALBFLEISCH ROSS L. PRENTICE iwiley- 'INTERSCIENCE A JOHN WILEY & SONS, INC., PUBLICATION Contents Preface xi 1. Introduction 1 1.1
THE STATSWHISPERER. Introduction to this Issue. Doing Your Data Analysis INSIDE THIS ISSUE
Spring 20 11, Volume 1, Issue 1 THE STATSWHISPERER The StatsWhisperer Newsletter is published by staff at StatsWhisperer. Visit us at: www.statswhisperer.com Introduction to this Issue The current issue
Applications 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
Statistical Methods and Reasoning for the Clinical Sciences
Statistical Methods and Reasoning for the Clinical Sciences Evidence-Based Practice Eiki B. Satake, PhD Contents Preface Introduction to Evidence-Based Statistics: Philosophical Foundation and Preliminaries
Statistics Applied to Clinical Studies
Statistics Applied to Clinical Studies Ton J. Cleophas Aeilko H. Zwinderman Statistics Applied to Clinical Studies Fifth Edition With the help from Toine F. Cleophas, Eugene P. Cleophas, and Henny I.
A Handbook of Statistical Analyses using SAS
A Handbook of Statistical Analyses using SAS SECOND EDITION Geoff Der Statistician MRC Social and Public Health Sciences Unit University of Glasgow Glasgow, Scotland and Brian S. Everitt Professor of Statistics
Quantitative 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
INTRODUCTION 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
SBS200 Exam 2 Review. Feb TA: Hyungjun Suh
SBS200 Exam 2 Review Feb. 26. 2019 TA: Hyungjun Suh Timeline 15min review of materials 10min solve practice questions individually 25min go over answers and Q&A 2 THIS IS NOT AN ALL-INCLUSIVE REVIEW!!!
STATISTICS 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
Biostatistics and Epidemiology Step 1 Sample Questions Set 2. Diagnostic and Screening Tests
Biostatistics and Epidemiology Step 1 Sample Questions Set 2 Diagnostic and Screening Tests 1. A rare disorder of amino acid metabolism causes severe mental retardation if left untreated. If the disease
A LOGISTIC REGRESSION ANALYSIS OF MALARIA CONTROL DATA
A LOGISTIC REGRESSION ANALYSIS OF MALARIA CONTROL DATA Olumoh, Jamiu. S and Ajayi, Osho. O School of Arts and Sciences, American University of Nigeria, Yola Email: jamiu.olumoh@aun.edu.ng, osho.ajayi@aun.edu.ng
Applications. DSC 410/510 Multivariate Statistical Methods. Discriminating Two Groups. What is Discriminant Analysis
DSC 4/5 Multivariate Statistical Methods Applications DSC 4/5 Multivariate Statistical Methods Discriminant Analysis Identify the group to which an object or case (e.g. person, firm, product) belongs:
LOGO. Statistical Modeling of Breast and Lung Cancers. Cancer Research Team. Department of Mathematics and Statistics University of South Florida
LOGO Statistical Modeling of Breast and Lung Cancers Cancer Research Team Department of Mathematics and Statistics University of South Florida 1 LOGO 2 Outline Nonparametric and parametric analysis of
SYNOPSIS A two-stage randomized, open-label, parallel group, phase III, multicenter, 7-month study to assess the efficacy and safety of SYMBICORT
Drug product: Drug substance(s): Edition No.: Study code: SYMBICORT pmdi 160/4.5 g Budesonide/formoterol D5896C00005 Date: 8 May 2006 SYNOPSIS A two-stage randomized, open-label, parallel group, phase
Biostatistics Primer
BIOSTATISTICS FOR CLINICIANS Biostatistics Primer What a Clinician Ought to Know: Subgroup Analyses Helen Barraclough, MSc,* and Ramaswamy Govindan, MD Abstract: Large randomized phase III prospective
Today: Binomial response variable with an explanatory variable on an ordinal (rank) scale.
Model Based Statistics in Biology. Part V. The Generalized Linear Model. Single Explanatory Variable on an Ordinal Scale ReCap. Part I (Chapters 1,2,3,4), Part II (Ch 5, 6, 7) ReCap Part III (Ch 9, 10,
Ward Headstrom Institutional Research Humboldt State University CAIR
Using a Random Forest model to predict enrollment Ward Headstrom Institutional Research Humboldt State University CAIR 2013 1 Overview Forecasting enrollment to assist University planning The R language
SPRING 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
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
Statistics 571: Statistical Methods Summer 2003 Final Exam Ramón V. León
Name: Statistics 571: Statistical Methods Summer 2003 Final Exam Ramón V. León This exam is closed-book and closed-notes. However, you can use up to twenty pages of personal notes as an aid in answering
Immunological Data Processing & Analysis
Immunological Data Processing & Analysis Hongmei Yang Center for Biodefence Immune Modeling Department of Biostatistics and Computational Biology University of Rochester June 12, 2012 Hongmei Yang (CBIM
Introduction to diagnostic accuracy meta-analysis. Yemisi Takwoingi October 2015
Introduction to diagnostic accuracy meta-analysis Yemisi Takwoingi October 2015 Learning objectives To appreciate the concept underlying DTA meta-analytic approaches To know the Moses-Littenberg SROC method
Meta Analysis. David R Urbach MD MSc Outcomes Research Course December 4, 2014
Meta Analysis David R Urbach MD MSc Outcomes Research Course December 4, 2014 Overview Definitions Identifying studies Appraising studies Quantitative synthesis Presentation of results Examining heterogeneity
Review: Logistic regression, Gaussian naïve Bayes, linear regression, and their connections
Review: Logistic regression, Gaussian naïve Bayes, linear regression, and their connections New: Bias-variance decomposition, biasvariance tradeoff, overfitting, regularization, and feature selection Yi
University 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
Dr. SANDHEEP S. (MBBS MD DPH) Dr. BENNY PV (MBBS MD DPH) (DATA ANALYSIS USING SPSS ILLUSTRATED WITH STEP-BY-STEP SCREENSHOTS)
Dr. SANDHEEP S. (MBBS MD DPH) Dr. BENNY PV (MBBS MD DPH) (DATA ANALYSIS USING SPSS ILLUSTRATED WITH STEP-BY-STEP SCREENSHOTS) Biostatistics in a Nut Shell For Medical Researchers i Publishing-in-support-of,
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
MMI 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
-~- FIVE. Date: Author; New: ,SAULT COLLEGE OF APPLIED ARTS & TECHNOLOGY SAULT STE. MARIE, ONTARIO FISH & WILDLIFE TECHNOLOGY ,FOR
..-,...,SAULT COLLEGE OF APPLIED ARTS & TECHNOLOGY SAULT STE. MARIE, ONTARIO COURSE OUTLINE Course Title: " BIOMETRICS Code No.:,FOR 301-4 Program: FISH & WILDLIFE TECHNOLOGY FIVE Date: MA Y, 1 9 5 Author;
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
Tumor Growth Rate (TGR) A New Indicator of Antitumor Activity in NETS? IPSEN NET Masterclass Athens, 12 th November 2016
1 Tumor Growth Rate (TGR) A New Indicator of Antitumor Activity in NETS? IPSEN NET Masterclass Athens, 12 th November 2016 Philippe RUSZNIEWSKI ENETS Centre of Excellence, Beaujon Hospital, Clichy, France
Analysis of Statistical Methods and Errors in the Articles Published in the Korean Journal of Pain
Original Article Korean J Pain Vol., No., pissn - / eissn - DOI:./kjp... Analysis of Statistical Methods and Errors in the Articles Published in the Korean Journal of Pain Department of Anesthesiology
Data 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
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,
Applied Linear Regression
Applied Linear Regression Applied Linear Regression Third Edition SANFORD WEISBERG University of Minnesota School of Statistics Minneapolis, Minnesota A JOHN WILEY & SONS, INC., PUBLICATION Copyright
Section G. Comparing Means between More than Two Independent Populations
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike License. Your use of this material constitutes acceptance of that license and the conditions of use of materials on this
GSK Medicine: Study Number: Title: Rationale: Study Period: Objectives: Indication: Study Investigators/Centers: Research Methods: Data Source
The study listed may include approved and non-approved uses, formulations or treatment regimens. The results reported in any single study may not reflect the overall results obtained on studies of a product.
Analysis of Confidence Rating Pilot Data: Executive Summary for the UKCAT Board
Analysis of Confidence Rating Pilot Data: Executive Summary for the UKCAT Board Paul Tiffin & Lewis Paton University of York Background Self-confidence may be the best non-cognitive predictor of future
A Population-Based Study on the Uptake and Utilization of Stereotactic Radiosurgery (SRS) for Brain Metastasis in Nova Scotia
A Population-Based Study on the Uptake and Utilization of Stereotactic Radiosurgery (SRS) for Brain Metastasis in Nova Scotia Gaurav Bahl, Karl Tennessen, Ashraf Mahmoud-Ahmed, Dorianne Rheaume, Ian Fleetwood,
PhD Course in Biostatistics
PhD Course in Biostatistics Univ.-Prof. DI Dr. Andrea Berghold Institute for Medical Informatics, Statistics and Documentation Medical University of Graz andrea.berghold@medunigraz.at Content Introduction
E 490 FE Exam Prep. Engineering Probability and Statistics
E 490 FE Exam Prep Engineering Probability and Statistics Dispersion, Mean, Median, Mode 1. The population standard deviation of the data points 2,1,6 is: (A) 1.00 (B) 1.52 (C) 2.16 (D) 2.56 2. A certain
10. LINEAR REGRESSION AND CORRELATION
1 10. LINEAR REGRESSION AND CORRELATION The contingency table describes an association between two nominal (categorical) variables (e.g., use of supplemental oxygen and mountaineer survival ). We have
Is Hospital Admission Useful for Syncope Patients? Preliminary Results of a Multicenter Cohort
Is Hospital Admission Useful for Syncope Patients? Preliminary Results of a Multicenter Cohort F. Dipaola, E. Pivetta, G. Costantino, G. Casazza, M.J. Reed, B. Sun, M. Solbiati, F. Barbic, D. Shiffer,
Biostatistics 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
Impact of Resting Heart Rate on Mortality, Disability and Cognitive Decline in Patients after Ischemic Stroke
Impact of Resting Heart Rate on Mortality, Disability and Cognitive Decline in Patients after Ischemic Stroke Data from PROFESS M. Böhm Daniel Cotton, Lydia Foster, Florian Custodis, Ulrich Laufs, Ralph
Determining Whether or Not Dental Students Will Immediately Enter Private Practice Upon Graduation. Raymond A. Kuthy Sarah E.
Determining Whether or Not Dental Students Will Immediately Enter Private Practice Upon Graduation Raymond A. Kuthy Sarah E. Allen Fang Qian Background Unlike our medical colleagues, it is just assumed
Research Manual STATISTICAL ANALYSIS SECTION. By: Curtis Lauterbach 3/7/13
Research Manual STATISTICAL ANALYSIS SECTION By: Curtis Lauterbach 3/7/13 TABLE OF CONTENTS INTRODUCTION 1 STATISTICAL ANALYSIS 1 Overview 1 Dependent Variable 1 Independent Variable 1 Interval 1 Ratio
Measuring the User Experience
Measuring the User Experience Collecting, Analyzing, and Presenting Usability Metrics Chapter 2 Background Tom Tullis and Bill Albert Morgan Kaufmann, 2008 ISBN 978-0123735584 Introduction Purpose Provide
Business Statistics Probability
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
Statistical 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,
Aliza 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
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