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Statistical methods in environmental epidemiology
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Statistical Methods in
ENVIRONMENTA L
EPIDEMIOLOG Y
- \ J
u
OXFOR D
Statistica l Method s
i n Environmenta l
Epidemiolog y
Duncan C. Thomas
D AI HOC THA I NGUYEN
TRUNGTAM HOC LIEU
OXFOR D
UNIVERSITY PRESS
OXFOR D
UNIVERSITY PRESS
Great Clarendon Street, Oxford OX2 6DP
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Published in the United States
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© Duncan C. Thomas 2009
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Database right Oxford University Press (maker)
First published 2009
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Library of Congress Cataloging in Publication Data
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Typeset by Newgen Imaging Systems (P) Ltd., Chennai, India
Printed in Great Britain
on acid-free paper by
CPI Antony Rowe, Chippenham, Wiltshire
ISBN 978-0-19-923289-5 (hbk)
978-0-19-923290-1 (pbk)
10 98765432 1
T o m y father, a rol e mode l fo r m y career
A n y m y mother, wh o taugh t me t o writ e
Content s
Preface xiv
1 A tale of two exposures 1
The ionizing radiation tale 3
The air pollution tale 11
2 Basic epidemiologic study designs 19
Experimental 19
Descriptive 20
Geographic comparisons 20
Temporal comparisons 21
Prevalence surveys 21
Analytical 22
Cohort study design 23
Case-control study design 24
Nested case-control and case-cohort designs 28
Interpretation of epidemiologic associations 29
3 Basic statistical methods 33
Basic probability theory 33
Probability distributions used in epidemiology 36
Binomial distribution 36
Poisson distribution 36
Normal distribution 38
Chi square distribution 38
Measures of disease frequency and risk 39
Absolute risk 40
Risk 40
Rates 41
Survival analysis 41
Relative risk 43
Case-control studies 45
viii Contents
Cohort studies 48
Attributable risk and other measures of
public health impact 49
Interaction 51
Basic principles of statistical inference 52
4 Multivariate models 55
Linear regression for continuous data 56
Multivariate models for binary data 57
Logistic regression 57
Binomial regression for grouped binary data 62
Censored survival analysis 63
Nested case-control studies 68
Poisson regression 70
Extra-Poisson variation 73
Principles of ML inference 73
Bayesian methods 80
The general linear model 82
Generalized estimating equations 83
Missing data 85
Missingness models 86
Missing data imputation 87
Missing indicator methods 90
5 Some special-purpose designs 92
Two-phase case-control designs 92
Counter-matching 99
Case-distribution studies 103
Case-crossover design 104
Poisson process model for recurrent events 105
Case-specular design 106
Case-only and case-parent-triad designs 108
6 Modeling exposure-time-response relationships 110
Basic dose-response models 110
Parametric models 111
Nonparametric models 115
Incorporating temporal modifiers 124
Extended exposure histories 128