Illustrating the use of meta-analysis in many real-world trial examples, this work focuses on the analysis and modeling of a meta-analysis with individually pooled data (MAIPD). It explores alternatives to the profile likelihood method, including approximated likelihood and multilevel models, and shows how the nonparametric profile maximum likelihood estimator can be computed via the EM algorithm with a gradient function update. The authors explain how to test for and determine the amount of heterogeneity in an MAIPD. They also highlight the application of the software program CAMAP for analyzing an MAIPD and offer the software for free online.
• Chapman & Hall/CRC Interdisciplinary Statistics
Statistical Theory & Methods
Statistics for the Biological Sciences
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Professional

Computer Assisted Analysis of Mixtures summarizes developments in the field over the last 20 years. Along with advancements in theory and algorithms, it explores developments in biometric applications, such as meta-analysis, disease mapping, fertility studies, estimation of prevalence under clustering, and estimation of the distribution of survival times under interval-censoring. The approach is nonparametric for the mixing distribution, including leaving the number of components of the mixing distribution unknown. The text is particularly valuable to statisticians working with pharmaceutical clinical trials, epidemiologists, and social scientists.
• Chapman & Hall/CRC Monographs on Statistics & Applied Probability
Quantitative Methods
Clinical Implementation
Epidemiology
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Professional