Overview
Preface.-1 Confounding and Causal path diagrams.-2 Statistical modelling of partially observed data using multiple imputation: principles and practice.-3 Measurement errors in epidemiology.-4 Selection bias in epidemiologic studies.-5 Multilevel modelling.-6 Modelling data that exhibit an excess number of zeros: zero-inflated models and generic mixture models.-7 Multilevel latent class modelling.-8 Bayesian bivariate disease mapping.-9 A multivariate random frailty effects model for multiple spatially dependent survival data.-10 Meta-analysis of observational studies.-11 Directed acyclic graphs and structural equation modelling.-12 Latent growth curve models.-13 Growth mixture modelling for life course epidemiology.-14 G-estimations.-15 Generalised additive models.-16 Regression and classification trees.-17 Statistical interactions and gene-environment joint effects. Index.
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Details
- ISBN-13: 9789400794061
- ISBN-10: 9400794061
- Publisher: Springer
- Publish Date: April 2014
- Dimensions: 9 x 6 x 0.9 inches
- Shipping Weight: 1 pounds
- Page Count: 316
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