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详细说明:本书详细地介绍了如何用R语言进行meta分析,讲解全面细致并附上代码Chapman Hall/CRC Biostatistics Series
Editor-in-Chief
Shein-Chung Chow, Ph D
Professe
Department of Biostatistics and Bioinformatics
Duke University School of Medicine
Durham north carolina
Series Editors
Byron Jones
Jen-pei Liu
Biometrical fellow
Professor
Statistical Methodology
Division of Biometry
Integrated Information Sciences
Department of Agronomy
Novartis pharma ag
National Taiwan University
Taipei, Taiwan
Basel switzerland
KarE。 Peace
Bruce w turnbull
Georgia cancer Coalition
Professor
Distinguished Cancer Scholar
School of Operations Research
Senior research Scientist and
and Industrial Engineering
Professor of biostatistics
Cornell niversity
Jiann-Ping Hsu College of Public Health
Ithaca. New York
Georgia Southern University
Statesboro, georgia
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Chapman hall/ CRC Biostatistics Series
Adaptive Design Methods in
Clinical Trial Data Analysis using R
Clinical trials, Second edition
Ding-Geng(Din) Chen and Karl EPeace
Shein-Chung Chow and Mark Chang
Clinical Trial Methodology
Adaptive Design Theory and
Karl E Peace and Ding-Geng(Din) Cher
Implementation Using SAS and R
Computational Methods in Biomedical
Mark Chang
Research
Advanced Bayesian Methods for Medical Ravindra Khattree and Dayanand N Naik
Test Accuracy
Computational Pharmacokinetics
Lyle D. Broemeling
Anders Kallen
Advances in Clinical Trial Biostatistics
Confidence Intervals for Proportions and
Nancy L Geller
Related measures of effect size
Applied Meta-Analysis with R
Robert G. Newcombe
Ding-Geng(Din) Chen and Karl E Peace
Controversial statistical issues in
Basic statistics and pharmaceutical
Clinical Trials
Statistical Applications, Second Edition Shein-Chung Chow
James e de muth
Data and safety monitoring committees
Bayesian Adaptive Methods for
in Clinical trials
Clinical trials
Jay Herson
Scott M. Berry, Bradley P. Carlin
Design and Analysis of Animal Studies in
J. Jack Lee and Peter Muller
Pharmaceutical Development
Bayesian Analysis Made Simple: An Excel Shein-Chung Chow and Jen-pei Liu
GUI for win BUGS
Design and Analysis of Bioavailability and
Phil woodward
inequivalence Studies, Third Edition
Bayesian Methods for Measures of
Shein-Chung Chow and Jen-pei Liu
Agreement
Design and Analysis of Bridging Studies
Lyle D. Broemeling
Jen-pei Liu, Shein-Chung Chow,
Bayesian Methods in health Economics
and chin-Fu hsiao
Gianluca baio
Design and Analysis of clinical Trials with
Bayesian Missing Data Problems: EM
Time-to-Event Endpoints
Data Augmentation and noniterative
Karl e. Peace
Computation
Design and Analysis of Non-Inferiority
Ming T. Tan, Guo-Liang Tian
Trials
and Kai Wang Ng
Mark d, rothmann brian l. wiens
Bayesian Modeling in Bioinformatics
and lvan S f chan
Dipak K Dey samiran ghosh
Difference Equations with Public Health
and bani K. mallick
Applications
Biostatistics: A Computing Approach
emuel A Moye and asha seth Kapadia
Stewart J Anderson
DNA Methylation Microarrays.
Causal Analysis in Biomedicine and
Experimental Design and Statistical
Epidemiology: Based on Minimal
Analysis
Sufficient Causation
Sun-Chong Wang and arturas petronis
Mikel Aickin
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DNA Microarrays and related Genomics Multiple Testing Problems in
Techniques: Design, Analysis, and
Pharmaceutical statistics
Interpretation of Experiments
Alex Dmitrienko, Ajit C. Tamhane
David B. Allison. Grier P Page
and frank bretz
T Mark beasley and jode w. edwards
Randomized clinical trials of
Dose Finding by the continua
Nonpharmacological Treatments
Reassessment method
Isabelle Boutron, Philippe Ravaud, and
Ying Kuen Cheung
David moher
Elementary Bayesian Biostatistics
Randomized phase ll cancer clinical
Lemuel A Moye
Trials
Frailty Models in Survival Analysis
Sin-Ho Jung
Andreas Wienke
Sample Size Calculations in Clinical
Generalized Linear Models: a bayesian
Research, Second edition
Perspective
Shein-Chung Chow, Jun Shao
Dipak K Dey, Sujit K. Ghosh,
and Hansheng Wang
and bani K. mallick
Statistical Design and Analysis of
Handbook of Regression and Modeling: Stability Studies
Applications for the clinical and
Shein-Chung chow
Pharmaceutical Industries
Statistical Evaluation of Diagnostic
Daryl S Paulson
Performance: Topics in ROC Analysis
Interval-Censored Time-to-Event Data: Kelly H. Zou, Aiy Liu, Andriy Bandos,
Methods and Applications
Lucila ohno-Machado, and howard rockette
Ding-Geng(Din) Chen, Jianguo Sun,
Statistical methods for clinical trials
and Karl e. Peace
Mark x. orleans
Joint Models for Longitudinal and time
Statistics in Drug Research:
to-Event Data: With Applications in R
Methodologies and Recent
Dimitris rizopoulos
Developments
Measures of Interobserver Agreement
Shein -Chung Chow and Jun Shao
and reliability second edition
Statistics in the Pharmaceutical Industry
Mohamed m. shoukri
Third edition
Medical biostatistics, Third edition
Ralph Buncher and Jia-Yeong Tsay
A Indrayan
Translational Medicine: Strategies and
Meta-Analysis in Medicine and Health
Statistical methods
Policy
Dennis cosmatos and shein -Chung chow
Dalene Stangl and donald A Berry
Monte carlo simulation for the
Pharmaceutical Industry: Concepts,
Algorithms, and case studies
Mark Chang
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Chapman hall/crc Biostatistics Series
Applied
Meta-Analysis
with R
Ding-Geng(Din) chen
Karl e peace
CRC) CRC Press
Boca Raton London New york
CRC Press is an imprint of the
Taylor Fr
nforma b
a chapman hall book
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4/3/131:27PM
CRC Press
Taylor Francis Group
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Boca raton fl 334 87-2742
o 2013 by Taylor Francis Group, LLC
CRC Press is an imprint of Taylor Francis Group, an Informa business
No claim to original U.S. Government works
Version date: 20130403
International Standard Book Number-13: 978-1-4665-0600-8(eBook -PDF
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efforts have been made to publish reliable data and information, but the author and publisher cannot
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Visit the Taylor francis Web site at
http://www.taylorandfrancis.com
and the crc press Web site at
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To my parents and parents-in-law who value higher education and hard work.
and to inly wife, Ke, Inly sOIl, JohI D. CheIl, and ly daughter, Jellnly K. Chen
for their love and support
Ding-Geng(Din)Chen
To the memory of my late mother, Elsie Mae Cloud Peace, my late wife
Jiann-Ping Hsu, and to my son, Christopher K. Pcacc, daughtcr-in-law, Ashley
Hopkins Pcacc, and grandchildren, Camden and Henry
Karl e. peace
Contents
List of Figures
List of tables
XIX
Preface
1 Introduction to r
1.1 What is R
1
1.2 Steps for Installing R and Updating R Packages
1.2.1 First Step: InstallR Base system
1. 2.2 Sccond Stcp: Installing and Updating R Packages
1.2.3 Steps to Get Ilelp and Documentation
3457
1. 3 Database Management and Data Manipulations
1.3.1 RMySQL to Microsoft Excel
3.2 Other Methods to read data into r
789
1.3.3 R Package forei
1. 4 A Simple simulation on Multi-Center Studies
10
1.4.1 Data Simulati
lon
1.4.1. R Functions
10
1.4.1.2 Data Generation and manipulatiOn
1.4.1.3 Basic R graphics
16
1.4.2 Data Analysis
21
1.4.2.1 Data Analysis from Each Center
21
1.4.2. 2 Data Analysis with Pooled Data from five
Centers
23
1.4.2.3 A Brief Introduction to Met a-analysis
24
1.5 Summary and Recommendations for Further Reading
2 Research Protocol for Meta-Analyses
31
2.1 Introduction
31
2. 2 DefilliIly the Research Ob
32
2.3 Criteria for Identifying Studies to Include in the Meta-Analysis 33
2.3.1 Clarifying the Disease under Study
33
2.3.2 The Effectiveness measure or Outcome
34
2.3.3 The Type of Control Group
2.3. 4 Study Characteristics
2.3.5 Type of patient.
2.3.6 Length of Study
3
2.4 Searching for and Collecting the Studies
36
2.5 Data Abstraction and Extraction
38
2.6 Meta-Analysis Methods
40
2.7 Results
2.8 Summary and discussion
41
3 Fixed-Effects and Random-Effects in Meta-analysis
43
3.1 Two Datasets from Clinical Studies
44
3.1.1 Data for Cochrane Collaboration Logo: Binary Data. 44
1.2 Clinical Studies on Amlodipine: Continuous Data
45
3.2 Fixed-Effects and Random-Effects Models in Meta-Analysis. 45
3.2.1 Hypotheses and Effect Size
46
3.2.2 Fixed-Effects Meta-Analysis Model: The Weighted
A
3.2.2.1 Fixcd- Effccts modcl
3.2.2.2 The Weighting Schemes
3.2.3 Random-Effects Meta-Analysis Model: DerSimonian
50
3.2.3.1 Random-Effects Model
3.2.3.2 Derivation of DerSimonian-Laird Estimator of
5
3.2.4 Publication b
54
3.3 Data Analysis in R
3.3.1 Meta-Analysis for Cochrane Collaboration Logo
3.3.1.1 Fitting the Fixed-Effects model
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