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(Ebook) Case Control Studies 1st Edition by Ruth H Keogh, David Roxbee Cox ISBN 1107019567 9781107019560

  • SKU: EBN-4678142
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Authors:Ruth H Keogh; David Roxbee Cox
Pages:298 pages.
Year:2014
Editon:draft
Publisher:CUP
Language:english
File Size:1.59 MB
Format:pdf
ISBNS:9781107019560, 1107019567
Categories: Ebooks

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(Ebook) Case Control Studies 1st Edition by Ruth H Keogh, David Roxbee Cox ISBN 1107019567 9781107019560

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ISBN 10: 1107019567 
ISBN 13: 9781107019560
Author: Ruth H Keogh, David Roxbee Cox

The case-control approach is a powerful method for investigating factors that may explain a particular event. It is extensively used in epidemiology to study disease incidence, one of the best-known examples being Bradford Hill and Doll's investigation of the possible connection between cigarette smoking and lung cancer. More recently, case-control studies have been increasingly used in other fields, including sociology and econometrics. With a particular focus on statistical analysis, this book is ideal for applied and theoretical statisticians wanting an up-to-date introduction to the field. It covers the fundamentals of case-control study design and analysis as well as more recent developments, including two-stage studies, case-only studies and methods for case-control sampling in time. The latter have important applications in large prospective cohorts which require case-control sampling designs to make efficient use of resources. More theoretical background is provided in an appendix for those new to the field.

(Ebook) Case-Control Studies 1st Table of contents:

Chapter 1: Introduction to Case-Control Studies
1.1 Defining a case-control study
1.2 Measuring association: the odds ratio
1.3 Methods for controlling confounding
1.4 Temporal aspects
1.5 Further details on the sampling of cases and controls
1.6 Bias in case-control studies
1.7 Use of case-control studies
Notes

Chapter 2: The Simplest Situation
2.1 Preliminaries
2.2 Measuring association
2.3 Statistical analysis
2.4 Model formulation
2.5 Design implications
2.6 Logistic dependence
2.7 Explanatory variables with more than two levels
2.8 Conditional odds ratios
2.9 A special feature of odds ratios
2.10 Introducing time
2.11 Causality and case-control studies
Notes

Chapter 3: Matched Case-Control Studies
3.1 Preliminaries
3.2 Choice of matched controls
3.3 Analysis of matched data
3.4 Discussion
3.5 Alternative analyses
3.6 Overmatching
3.7 Further theoretical points
3.8 Generalizations
3.9 Logistic dependence
3.10 Introducing time
Notes

Chapter 4: A General Formulation
4.1 Preliminaries
4.2 Logistic regression
4.3 Extensions
4.4 More on non-collapsibility
4.5 Non-logistic models
4.6 Statistical efficiency
4.7 Estimating other quantities
4.8 Use of the distribution of exposure
4.9 Beyond case-control studies
Notes

Chapter 5: Case-Control Studies with More Than Two Outcomes
5.1 Preliminaries
5.2 Polychotomous case-control studies
5.3 Polychotomous studies with matching
5.4 More than one control group
5.5 Ordered outcome groups
5.6 Case-only studies
Notes

Chapter 6: Special Sampling Designs
6.1 Preliminaries
6.2 Two-stage sampling design
6.3 Likelihood analyses
6.4 Discussion
6.5 Special sampling in matched case-control studies
6.6 Case-control studies using family members
6.7 Augmenting data using family members
Notes

Chapter 7: Nested Case-Control Studies
7.1 Preliminaries
7.2 The nested case-control design
7.3 Analysis
7.4 Further comments on analysis
7.5 Some extensions
7.6 More elaborate sampling procedures
7.7 Further comments on sampling
7.8 Some alternative models
7.9 Extended use of controls
7.10 Estimating absolute risk
7.11 Using full-cohort information
Notes

Chapter 8: Case-Subcohort Studies
8.1 Preliminaries
8.2 Essential outline
8.3 Analysis disregarding time
8.4 Event times
8.5 Size of the subcohort
8.6 Stratified studies
8.7 Some further approaches
8.8 Comparison with nested case-control studies
Notes

Chapter 9: Misclassification and Measurement Error
9.1 Preliminaries
9.2 Misclassification in exposure
9.3 Misclassification of cases and controls
9.4 Misclassification in matched studies
9.5 Error in continuous exposures
9.6 Correcting for error
Notes

Chapter 10: Synthesis of Studies
10.1 Preliminaries
10.2 Large-sample methods
10.3 Graphical representation
10.4 Study heterogeneity
10.5 An exact analysis
10.6 Combining studies of different types

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Tags: Ruth H Keogh, David Roxbee Cox, Case Control

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