Statistical Models in Epidemiology, the Environment, and Clinical Trials /
This volume contains refereed papers by participants in the two weeks on Clinical Trials and one week on Epidemiology and the Environment held as part of the six weeks workshop on Statistics in the Health Sciences Applications at the Institute for Mathematics and its Applications (IMA) in the summer...
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| Format: | eBook |
| Language: | English |
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New York, NY :
Springer New York,
2000.
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| Series: | IMA volumes in mathematics and its applications ;
116. |
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Foreword
- Preface
- Sensitivity analysis for selection bias and unmeasured confounding in missing data and causal inference models
- Marginal structural models versus structural nested models as tools for causal inference
- Nonparametric locally efficient estimation of the treatment specific survival distribution with right censored data and covariates in observational studies
- Estimation of disease rates in small areas: A new mixed model for spatial dependence
- Markov chain Monte Carlo methods for clustering in case event and count data in spatial epidemiology
- A simulation study of the epidemiological impact of air pollution: Diagnostics of the confounding effects for generalized linear models
- The use of reference priors and Bayes factors in the analysis of clinical trials
- Surrogate endpoints in cancer clinical trials
- List of Participants.