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Statistical Models in Epidemiology, the Environment, and Clinical Trials

Overview of attention for book
Cover of 'Statistical Models in Epidemiology, the Environment, and Clinical Trials'

Table of Contents

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    Book Overview
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    Chapter 1 Sensitivity Analysis for Selection bias and unmeasured Confounding in missing Data and Causal inference models
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    Chapter 2 Marginal Structural Models versus Structural nested Models as Tools for Causal inference
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    Chapter 3 Nonparametric locally efficient estimation of the Treatment Specific Survival distribution with right Censored Data and Covariates in Observational Studies
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    Chapter 4 Estimation of Disease Rates in Small Areas: A new Mixed Model for Spatial Dependence
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    Chapter 5 Markov Chain Monte Carlo Methods for Clustering in Case Event and Count Data in Spatial Epidemiology
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    Chapter 6 A Simulation Study of the Epidemiological Impact of Air Pollution: Diagnostics of the Confounding Effects for Generalized Linear Models
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    Chapter 7 The Use of Reference Priors and Bayes Factors in the Analysis of Clinical Trials
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    Chapter 8 Surrogate Endpoints in Cancer Clinical Trials
Attention for Chapter 5: Markov Chain Monte Carlo Methods for Clustering in Case Event and Count Data in Spatial Epidemiology
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Chapter title
Markov Chain Monte Carlo Methods for Clustering in Case Event and Count Data in Spatial Epidemiology
Chapter number 5
Book title
Statistical Models in Epidemiology, the Environment, and Clinical Trials
Published by
Springer, New York, NY, January 2000
DOI 10.1007/978-1-4612-1284-3_5
Book ISBNs
978-1-4612-7078-2, 978-1-4612-1284-3
Authors

Andrew B. Lawson, Allan B. Clark

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