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Statistical models in epidemiology /

This self-contained account of the statistical basis of epidemiology has been written for those with a basic training in biology. No previous knowledge of the subject is assumed and mathematics is deliberately kept at a manageable level. Based on a highly successful course, this book explains the es...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Clayton, David, 1944-
Otros Autores: Hills, Michael
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Oxford : Oxford University Press, 2013.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Clayton, David,  |d 1944- 
245 1 0 |a Statistical models in epidemiology /  |c David Clayton, Michael Hills. 
264 1 |a Oxford :  |b Oxford University Press,  |c 2013. 
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500 |a Includes index. 
588 0 |a Print version record. 
505 0 |a Cover; Title Page; Copyright Page; Preface; 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. 
505 8 |a 18 Comparison of odds within strata19 Individually matched case-control studies; 20 Tests for trend; 21 The size of investigations; II Regression models; 22 Introduction to regression models; 23 Poisson 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. 
505 8 |a A Exponentials and logarithmsB Some basic calculus; C Approximate profile likelihoods; D Table of the chi-squared distribution; Index; Footnotes. 
504 |a Includes bibliographical references (pages 346-347) and index. 
520 |a This self-contained account of the statistical basis of epidemiology has been written for those with a basic training in biology. No previous knowledge of the subject is assumed and mathematics is deliberately kept at a manageable level. Based on a highly successful course, this book explains the essential statistics for all epidemiologists. 
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700 1 |a Hills, Michael. 
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