Meta-Analysis in Medicine and Health PolicyDalene Stangl, Donald A. Berry This remarkable text raises the analysis of data in health sciences and policy to new heights of refinement and applicability by introducing cutting-edge meta-analysis strategies while reviewing more commonly used techniques. Each chapter builds on sound principles, develops methodologies to solve statistical problems, and presents concrete applications used by experienced medical practitioners and health policymakers. Written by more than 30 celebrated international experts, Meta-Analysis in Medicine and Health Policy employs copious examples and pictorial presentations to teach and reinforce biostatistical techniques more effectively and poses numerous open questions of medical and health policy research. |
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Page vii
... Reported Study Results : A Bayesian Approach Keith R. Abrams , Paul C. Lambert , Bruno Sansó , and Chris Shaw 3. Meta - analysis versus Large Trials : Resolving the Controversy Scott M. Berry 4. A Bayesian Meta - analysis of Randomized ...
... Reported Study Results : A Bayesian Approach Keith R. Abrams , Paul C. Lambert , Bruno Sansó , and Chris Shaw 3. Meta - analysis versus Large Trials : Resolving the Controversy Scott M. Berry 4. A Bayesian Meta - analysis of Randomized ...
Page 10
... reported . If enough information is given in individual studies , transforming between any of these measures is possible . For example , if the odds ratio and the inci- dence of the event in the control group are reported , then the ...
... reported . If enough information is given in individual studies , transforming between any of these measures is possible . For example , if the odds ratio and the inci- dence of the event in the control group are reported , then the ...
Page 11
... reported . The six studies included in the meta - analysis use four different instruments to measure anxiety level in two groups of patients . For each group , four of the six studies reported anxiety levels at baseline and follow - up ...
... reported . The six studies included in the meta - analysis use four different instruments to measure anxiety level in two groups of patients . For each group , four of the six studies reported anxiety levels at baseline and follow - up ...
Page 28
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Contents
1 | |
Metaanalysis of Heterogeneously Reported Study Results A Bayesian Approach | 29 |
Metaanalysis versus Large Trials Resolving the Controversy | 65 |
A Bayesian Metaanalysis of Randomized Megatrials for the Choice of Thrombolytic Agents in Acute Myocardial Infarction | 83 |
Combining Studies with Continuous and Dichotomous Responses A LatentVariables Approach | 105 |
Computermodeling and Graphical Strategies for Metaanalysis | 127 |
Metaanalysis for 2 x 2 Tables with Multiple Treatment Groups | 179 |
A Bayesian Metaanalysis of the Relationship between Duration of Estrogen Exposure and Occurrence of Endometrial Cancer | 191 |
Metaanalysis of Population Pharmacokinetic Data | 231 |
Metaanalysis of Individualpatient Survival Data Using Randomeffect Models | 255 |
Adjustment for Publication Bias and Quality Bias in Bayesian Metaanalysis | 277 |
Metaanalysis of Clinical Trials Opportunities and Limitations | 305 |
Research Synthesis for Public Health Policy Experience of the Institute of Medicine | 321 |
Metaanalysis in Practice A Critical Review of Available Software | 359 |
Index | 391 |
Modeling and Implementation Issues in Bayesian Metaanalysis | 205 |
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algorithm assess assume assumption baseline Bayes factors Bayesian analysis Bayesian approach Bayesian meta-analysis Bayesian model Berry binary Biostatistics clinical trials combining committee compared confidence intervals considered control group credible interval denoted Diff discussed drug effect sizes endometrial cancer Epidemiology estimate estrogen evidence example exposure Figure fixed-effect model Gibbs sampling GUSTO-1 Health herbicide heterogeneity hierarchical model included Journal likelihood macros mammography Markov chain meta meta-analysis methods mortality Nonzero Normal Scores number of studies observed odds ratio outcomes overall p-values packages parameters patients pharmacokinetic plot posterior distribution posterior mean presented prior distribution probability publication bias random random-effect model regression relative risk reported Research risk differences sample standard deviation standard errors Stangl Statistics in Medicine study effects study-specific survival t-PA Table therapy tier tion treatment effect treatment group vaccine values variance component zero
Popular passages
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