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Statistical Methods in Cancer Research: The Design and Analysis of Cohort Studies
Table of contentsForeword
Preface
Acknowledgements
List of participants at IAC Workship 25–27 May 1983
1. The Role of Cohort Studies in Cancer Epidemiology
2. Rates and Rate Standardization
3. Comparisons among Exposure Groups
4. Fitting Models to Grouped Data
5. Fitting Models to Continuous Data
6. Modelling the Relationship between Risk, Dose and Time
7. Design Considerations
References
Appendices
I. Design and conduct of studies cited in the test
IA. The British doctors study
II. Correspondence between different revisions of the International Classification of Diseases (ICD)IB. The atomic bomb survivors — the life-span study IC. Hepatitis B Aand liver cancer ID. Cancer in nickel workers — the South Wales cohort IE. The Montana study of smelter workers IF. Asbestos exposure and cigarette smoking III. U.S. national death rates: white males (deaths/person-year x 1000) IV. Algorithm for exact calculation of person-years V. Grouped data from the Montana smelter workers study used in Chapters 2–4 VI. Nasal sinus cancer mortality in Welsh nickel refinery workers: summary data for three-way classification VII. Lung and nasal sinus cancer mortality in Welsh nickel refinery workers: summary data for four-way classification VIII. Continuous data (original records) for 679 Welsh nickel refinery workers IX. England and Wales: age- and year-specific death rates from nasal sinus and lung cancer and from all causes Combined Index to Volumes 1 and 2 of Statistical Methods in Cancer Research
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