- The Oxford Handbook of Applied Bayesian Analysis
- Preface
- List of Contributors
- Flexible Bayes regression of epidemiologic data
- Bayesian modelling for matching and alignment of biomolecules
- Bayesian approaches to aspects of the Vioxx trials: Non-ignorable dropout and sequential meta-analysis
- Sensitivity analysis in microbial risk assessment: Vero-cytotoxigenic <i>E. coli</i> O157 in farm-pasteurized milk
- Mapping malaria in the Amazon rain forest: A spatio-temporal mixture model
- Trans-study projection of genomic biomarkers in analysis of oncogene deregulation and breast cancer
- Linking systems biology models to data: A stochastic kinetic model of p53 oscillations
- Paternity testing allowing for uncertain mutation rates
- Bayesian analysis and decisions in nuclear power plant maintenance
- Bayes linear uncertainty analysis for oil reservoirs based on multiscale computer experiments
- Bayesian modelling of train door reliability
- Analysis of economic data with multiscale spatio-temporal models
- Extracting S&P500 and NASDAQ Volatility: The Credit Crisis of 2007–2008
- Futures markets, Bayesian forecasting and risk modelling
- The new macroeconometrics: A Bayesian approach
- Assessing the probability of rare climate events
- Models for demography of plant populations
- Combining monitoring data and computer model output in assessing environmental exposure
- Indirect elicitation from ecological experts: From methods and software to habitat modelling and rock-wallabies
- Characterizing the uncertainty of climate change projections using hierarchical models
- Volatility in prediction markets: A measure of information flow in political campaigns
- Bayesian analysis in item response theory applied to a large-scale educational assessment
- Sequential multilocation auditing and the New York food stamps program
- Bayesian causal inference: Approaches to estimating the effect of treating hospital type on cancer survival in Sweden using principal stratification
- Bayesian statistical methods for audio and music processing
- Combining simulations and physical observations to estimate cosmological parameters
- Probabilistic grammars and hierarchical Dirichlet processes
- Designing and analysing a circuit device experiment using treed Gaussian processes
- Multistate models for mental fatigue
- Index
Abstract and Keywords
This article discusses Bayesian approaches to aspects of the Vioxx trials study, with a focus on non-ignorable dropout and sequential meta-analysis. It first provides a background on Vioxx, a COX-2 selective, non-steroidal anti-inflammatory drug (NSAID) approved by the FDA in May 1999 for the relief of the signs and symptoms of osteoarthritis, the management of acute pain in adults, and for the treatment of menstrual symptoms. However, Vioxx was found to cause an array of cardiovascular side-effects such as myocardial infarction, stroke, and unstable angina. As a result, Vioxx was withdrawn from the market. The article describes an approach to sequential meta-analysis in the context of Vioxx before considering dropouts in the key APPROVe study. It also presents a Bayesian approach to handling dropout and showcases the utility of Bayesian analysis in addressing multiple, challenging statistical issues and questions arising from clinical trials.
Keywords: Vioxx trials study, non-ignorable dropout, sequential meta-analysis, Vioxx, APPROVe study, Bayesian analysis, clinical trials
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- The Oxford Handbook of Applied Bayesian Analysis
- Preface
- List of Contributors
- Flexible Bayes regression of epidemiologic data
- Bayesian modelling for matching and alignment of biomolecules
- Bayesian approaches to aspects of the Vioxx trials: Non-ignorable dropout and sequential meta-analysis
- Sensitivity analysis in microbial risk assessment: Vero-cytotoxigenic <i>E. coli</i> O157 in farm-pasteurized milk
- Mapping malaria in the Amazon rain forest: A spatio-temporal mixture model
- Trans-study projection of genomic biomarkers in analysis of oncogene deregulation and breast cancer
- Linking systems biology models to data: A stochastic kinetic model of p53 oscillations
- Paternity testing allowing for uncertain mutation rates
- Bayesian analysis and decisions in nuclear power plant maintenance
- Bayes linear uncertainty analysis for oil reservoirs based on multiscale computer experiments
- Bayesian modelling of train door reliability
- Analysis of economic data with multiscale spatio-temporal models
- Extracting S&P500 and NASDAQ Volatility: The Credit Crisis of 2007–2008
- Futures markets, Bayesian forecasting and risk modelling
- The new macroeconometrics: A Bayesian approach
- Assessing the probability of rare climate events
- Models for demography of plant populations
- Combining monitoring data and computer model output in assessing environmental exposure
- Indirect elicitation from ecological experts: From methods and software to habitat modelling and rock-wallabies
- Characterizing the uncertainty of climate change projections using hierarchical models
- Volatility in prediction markets: A measure of information flow in political campaigns
- Bayesian analysis in item response theory applied to a large-scale educational assessment
- Sequential multilocation auditing and the New York food stamps program
- Bayesian causal inference: Approaches to estimating the effect of treating hospital type on cancer survival in Sweden using principal stratification
- Bayesian statistical methods for audio and music processing
- Combining simulations and physical observations to estimate cosmological parameters
- Probabilistic grammars and hierarchical Dirichlet processes
- Designing and analysing a circuit device experiment using treed Gaussian processes
- Multistate models for mental fatigue
- Index
