Recent years have seen an explosion in new kinds of data on infectious diseases, including data on social contacts, whole genome sequences of pathogens, biomarkers for susceptibility to infection, serological panel data, and surveillance data. The <i>Handbook of Infectious Disease Data Analysis</i>
Analysis of Infectious Disease Data
โ Scribed by N.G. Becker (Author)
- Publisher
- Chapman and Hall/CRC
- Year
- 1989
- Leaves
- 237
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
The book gives an up-to-date account of various approaches availablefor the analysis of infectious disease data. Most of the methods havebeen developed only recently, and for those based on particularlymodern mathematics, details of the computation are carefullyillustrated. Interpretation is discussed at some length and the emphasisthroughout is on making statistical inferences about epidemiologicallyimportant parameters.Niels G. Becker is Reader in Statistics at La Trobe University,Australia.
โฆ Table of Contents
1. Introduction 2. Chain binomial models 3. Chain models with random effects 4. Latent and infectious periods 5. Heterogeneity of disease spread through a community 6. Generalized Linear Models 7. Martingale methods 8. Methods of inference for large populations
โฆ Subjects
Mathematics & Statistics;Statistics & Probability;Statistics;Statistical Theory & Methods
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