Explore Important Tools for High-Quality Work in Pharmaceutical Safety
Statistical Methodsfor Drug Safety presents a wide variety of statistical approaches for analyzing pharmacoepidemiologicdata. It covers both commonly usedtechniques, such as proportional reporting ratios for the analysis of spontaneous adverse event reports, and newer approaches, such as the use of marginal structuralmodels for controlling dynamic selection bias in the analysis of large-scale longitudinal observationaldata.
Choose the RightStatistical Approach for Analyzing YourDrug Safety Data
The book describes linear andnon-linear mixed-effects models, discrete-time survival models, and new approaches to the meta-analysis of rare binary adverseevents. It explores research involving the re-analysis of complete longitudinal patientrecords from randomized clinical trials. The book discusses causal inference models, including propensity score matching, marginal structural models, and differential effects, as well as mixed-effectsPoisson regression models for analyzingecological data, such as county-level adverseevent rates. The authors also covernumerous other methods useful for the analysis of within-subject and between-subject variation in adverse events abstracted from large-scalemedical claims databases, electronic health records, and additional observational data streams.
Advance StatisticalPractice in Pharmacoepidemiology
Authored by twoprofessors at the forefront of developing new statistical methodologies to address pharmacoepidemiologic problems, this book provides a cohesive compendium of statistical methods that pharmacoepidemiologists can readily use in their work. It alsoencourages statistical scientists to developnew methods that go beyondthe foundation covered inthe text.
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