Statistical Methods for Drug Safety

ISBN: 9781466561847 出版年：2015 页码：297 Gibbons, Robert D Amatya, Anup CRC Press

Introduction Randomized Clinical Trials Observational Studies The Problem of Multiple Comparisons The Evolution of Available Data Streams The Hierarchy of Scientific Evidence Statistical Significance Summary Basic Statistical Concepts Relative Risk Odds Ratio Statistical Power Maximum Likelihood Estimation Non-Linear Regression Models Causal Inference Multi-Level Models Introduction Issues Inherent in Longitudinal Data Historical Background Statistical Models for the Analysis of Longitudinal and/or Clustered Data Causal Inference Introduction Propensity Score Matching Marginal Structural Models Instrumental Variables Differential Effects Analysis of Spontaneous Reports Proportional Reporting Ratio Bayesian Confidence Propagation Neural Network (BCPNN) Empirical Bayes Screening Multi-Item Gamma Poisson Shrinker Bayesian Lasso Logistic Regression Random-Effect Poisson Regression Discussion Meta-Analysis Fixed-Effect Meta-Analysis Random-Effect Meta-Analysis Maximum Marginal Likelihood/Empirical Bayes Method Bayesian Meta-Analysis Confidence Distribution Framework for Meta-Analysis Discussion Ecological Methods Time Series Methods State Space Model Change Point Analysis Mixed-Effects Poisson Regression Model Discrete-Time Survival Models Introduction Discrete-Time Ordinal Regression Model Discrete-Time Ordinal Regression Frailty Model Illustration Competing Risk Models Illustration Research Synthesis Introduction Three-Level Mixed-Effects Regression Models Analysis of Medical Claims Data Introduction Administrative Claims Observational Data Experimental Strategies Statistical Strategies Illustrations Conclusion Methods to Be Avoided Introduction Spontaneous Reports Vote Counting Simple Pooling of Studies Including Randomized and Non-Randomized Trials in Meta-Analysis Multiple Comparisons and Biased Reporting of Results Immortality Time Bias Summary and Conclusions Final Thoughts Bibliography Index