http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Meta-analysis of controlled clinical trials
Over the last twenty years there has been a dramatic upsurge in the application of meta-analysis to medical research. This has mainly been due to greater emphasis on evidence-based medicine and the need for reliable summaries of the vast and expanding volume of clinical research. At the same time there have been great strides in the development and refinement of the associated statistical methodology. This book describes the planning, conduct and reporting of a meta-analysis as applied to a series of randomized controlled clinical trials.
The role of meta-analysis -- Retrospective and prospective meta-analyses -- Fixed effects versus random effects -- Individual patient data versus summary statistics -- Multicentre trials and meta-analysis -- Protocol development -- Outcome measures and baseline information -- Sources of data -- Study selection -- Data extraction -- Statistical analysis -- Analysis population -- Missing data at the subject level -- Analysis of individual trials -- Meta-analysis model -- Estimation and hypothesis testing -- Testing for heterogeneity -- Exploration of heterogeneity -- Sensitivity analyses -- Presentation of results -- Estimating the treatment difference in an individual trial -- Binary data -- Example: Stroke in hypertensive patients -- Measurement of treatment difference -- Survival data -- Example: Mortality following myocardial infarction -- Measurement of treatment difference -- Interval-censored survival data -- Example: Ulcer recurrence -- Measurement of treatment difference -- Ordinal data -- Example: Global impression of change in Alzheimer's disease -- Measurement of treatment difference -- Normally distributed data -- Example: Recovery time after anaesthesia -- Measurement of treatment difference -- Combining estimates of a treatment difference across trials -- A general fixed effects parametric approach -- A fixed effects meta-analysis model -- Estimation and hypothesis testing of the treatment difference -- Testing for heterogeneity across studies -- Obtaining the statistics via weighted least-squares regression.
Includes bibliographical references (pages 321-328) and index.
Chichester ; New York : John Wiley & Sons, ©2002
Statistics in practice (Chichester, England)