Modern methods for epidemiology
By: Yu-Kang Tu, Darren C. Greenwood, editors
Publisher: Springer
Published: 2012
Place of publication: Heidelberg; New York
Language: eng
Number of pages: 314
ISBN-13: 9789400730236
Subjects: Epidemiology; Methodology; Epidemiologic Methods; Research
Notes: Includes bibliographical references and index.
Table of contents: title: Confounding and causal path diagrams; title: Statistical modelling of partially observed data using multiple imputation: principles and practice; title: Measurement errors in epidemiology; title: Selection bias in epidemiologic studies; title: Multilevel modelling; title: Modelling data that exhibit an excess number of zeros: zero-inflated models and generic mixture models; title: Multilevel latent class modelling; title: Bayesian bivariate disease mapping; title: Multivariate random fraility effects model for multiple spatially dependent survival data; title: Meta-analysis of observational studies; title: Directed acyclic graphs and structural equation modelling; title: Latent growth curve models; title: Growth mixture modelling for life course epidemiology; title: G-estimation for accelerated failure time models; title: Generalised additive models; title: Regression and classification trees; title: Statistical interactions and gene-environment joint effects.