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Modern Methods for Epidemiology

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Cover of 'Modern Methods for Epidemiology'

Table of Contents

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    Book Overview
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    Chapter 1 Confounding and Causal Path Diagrams
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    Chapter 2 Statistical Modelling of Partially Observed Data Using Multiple Imputation: Principles and Practice
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    Chapter 3 Measurement Errors in Epidemiology
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    Chapter 4 Selection Bias in Epidemiologic Studies
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    Chapter 5 Multilevel Modelling
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    Chapter 6 Modelling Data That Exhibit an Excess Number of Zeros: Zero-Inflated Models and Generic Mixture Models
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    Chapter 7 Multilevel Latent Class Modelling
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    Chapter 8 Bayesian Bivariate Disease Mapping
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    Chapter 9 A Multivariate Random Frailty Effects Model for Multiple Spatially Dependent Survival Data
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    Chapter 10 Meta-analysis of Observational Studies
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    Chapter 11 Directed Acyclic Graphs and Structural Equation Modelling
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    Chapter 12 Latent Growth Curve Models
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    Chapter 13 Growth Mixture Modelling for Life Course Epidemiology
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    Chapter 14 G-estimation for Accelerated Failure Time Models
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    Chapter 15 Generalised Additive Models
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    Chapter 16 Regression and Classification Trees
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    Chapter 17 Statistical Interactions and Gene-Environment Joint Effects
Attention for Chapter 14: G-estimation for Accelerated Failure Time Models
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