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Home > Medicine & Health Science textbooks > Medicine: general issues > Public health and preventive medicine > Epidemiology and Medical statistics > Statistical Models in Epidemiology
Statistical Models in Epidemiology

Statistical Models in Epidemiology


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About the Book

This self-contained account of the statistical basis of epidemiology has been written specifically for those with a basic training in biology, therefore no previous knowledge is assumed and the mathematics is deliberately kept at a manageable level. The authors show how all statistical analysis of data is based on probability models, and once one understands the model, analysis follows easily. In showing how to use models in epidemiology the authors have chosen to emphasize the role of likelihood, an approach to statistics which is both simple and intuitively satisfying. More complex problems can then be tackled by natural extensions of the simple methods. Based on a highly successful course, this book explains the essential statistics for all epidemiologists.

Table of Contents:
I. Probability Models and Likelihood 1: Probability models 2: Conditional probability models 3: Likelihood 4: Consecutive follow-up intervals 5: Rates 6: Time 7: Competing risks and selection 8: The Gaussian probability model 9: Approximate likelihoods 10: Likelihood, probability, and confidence 11: Null hypotheses and p-values 12: Small studies 13: Likelihoods for the rate ratio 14: Confounding and standardization 15: Comparison of rates within strata 16: Case-control studies 17: Likelihoods for the odds ratio 18: Comparison of odds within strata 19: Individually matched case-control studies 20: Tests for trend 21: The size of investigations II. Regression Models 22: Introduction to regression models 23: Poission and logistic regression 24: Testing hypotheses 25: Models for dose-response 26: More about interaction 27: Choice and interpretation of models 28: Additivity and synergism 29: Conditional logistic regression 30: Cox's regression analysis 31: Time-varying explanatory variables 32: Three examples 33: Nested case-control studies 34: Gaussian regression models 35: Postscript III. Appendices A. Exponentials B. Some basic calculus C. Approximate profile likelihoods D. Table of the Chi-squared distribution Index

About the Author :
David Clayton, Diabetes and Inflammation Laboratory, Cambridge Institute for Medical Research Michael Hills, London School of Hygiene and Tropical Medicine

Review :
`Unlike many textbooks in epidemiology, there is no long wordy preamble. The characteristic style is set straight away. The book is also highly successful in presenting a unified approach. What is also striking, is that the authors have managed to say something useful and clear about many of the all too numerous minor problems that are inevitably encountered in practice. In my view this is simply an excellent text. ' Andrew Pickles, Institute of Psychiatry, London, Statistical Methods in Medical Research 1994:3 `An excellent text which provides the simplest and most logical exposition that I have seen of the statistical foundations for current techniques for analysing epidemiological data, and provides an excellent preparation for more detailed treatments. ' Australasian Epidemiological Association News, 12/94 `Provides probably the most coherent and logical exposition of the use of statistical models in epidemiology that is currently available ... an excellent text which provides the simplest and most logical exposition that I have seen of the statistical foundations for current techniques for analysing epidemiological data, and provides an excellent preparation for more detailed treatments. ' AEA News 12/94 `Clayton and Hills have filled the gap with an interesting text which is based mainly on probability models and likelihood. This is an unusual approach. but is precisely what is missing in many other textbooks for epidemiologists ... this is an important text for those interested in understanding statistical reasoning in epidemiology. ' Maria Blettner, International Journal of Epidemiology `The authors have produced a text that will be extremely valuable to those teaching epidemiologic methods... Statistical Models in Epidemiology courageously cuts new paths into the traditional epidemiologic approach to statistical training. ' Journal of the American Statistics Association `This book gives some very clear explanations ... Each point is well illustrated with small examples and there are exercises throughout. It is pleasing to see full solution to all the exercises. ' Public Health (1994) 108


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Product Details
  • ISBN-13: 9780199671182
  • Publisher: Oxford University Press
  • Publisher Imprint: Oxford University Press
  • Height: 233 mm
  • No of Pages: 384
  • Spine Width: 19 mm
  • Width: 177 mm
  • ISBN-10: 0199671184
  • Publisher Date: 17 Jan 2013
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Weight: 578 gr


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