Analysis of Infectious Disease Data
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A01=N.G. Becker
advanced infectious disease statistics
Author_N.G. Becker
case
Category=PBT
chain binomial analysis
chain binomial model
Chain Probabilities
Community Acquired Infection
contact
epidemic
Epidemic Model
epidemiological modeling
epidemiologically meaningful parameters
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Escape Probability
estimates
Fitted Frequencies
function
General Epidemic Model
Generalized Linear Model
Infection Intensity
Infection Rate
Infectious Contact
Infectious Disease Data
Infectious Individual
Infectious Period
infectious period estimation
introductory
Introductory Case
likelihood
Likelihood Function
Logistic Linear Regression Model
Martingale Central Limit Theorem
martingale statistics
maximum
model
Niels G. Becker
Offspring Distribution
Outbreak Sizes
period
population heterogeneity
Random Household Effects
Shifted Exponential Distribution
Simple Epidemic Model
Single Epidemic
statistical inference methods
Stochastic Epidemic Model
Variola Minor
Product details
- ISBN 9780412309908
- Weight: 590g
- Dimensions: 138 x 216mm
- Publication Date: 01 May 1989
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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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.
Becker\, N.G.
