Case-control studies / Ruth H. Keogh and D.R. Cox.
Material type: TextSeries: Institute of mathematical statistics monographs ; 4Publication details: Cambridge : Cambridge University Press, 2014.Description: x, 285 p. : illustrations ; 24 cmISBN:- 9781107019560 (hardback)
- 000SB:614.4 23 K37
Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
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Books | ISI Library, Kolkata | 000SB:614.4 K37 (Browse shelf(Opens below)) | Available | 135926 |
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000SB:614.4 B865 Bayesian methods in epidemiology / | 000SB:614.4 C734 Dynamical biostatistical models / | 000SB:614.4 Em54 Medical biostatistics for complex diseases / | 000SB:614.4 K37 Case-control studies / | 000SB:614.4 K45 Modelling interactions between vector-borne diseases and environment using GIS / | 000SB:614.4 L415 Statistical epidemiology / | 000SB:614.4 Sh524 Spatio-temporal methods in environmental epidemiology / |
Includes bibliographical references (pages 262-280) and index.
1. Introduction to case-control studies;
2. The simplest situation;
3. Matched case-control studies;
4. A general formulation;
5. Case-control studies with other than two outcomes;
6. Special sampling designs;
7. Nested case-control studies;
8. Case-subcohort studies;
9. Misclassification and measurement error;
10. Synthesis of studies;
Appendix. A theoretical diversion;
References;
Index.
"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 the investigation by Bradford Hill and Doll 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 that 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"--Provided by publisher.
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