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STAT MODELS EPIDEMIOLOGY P
Taschenbuch von Clayton & Hills
Sprache: Englisch

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Beschreibung
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.
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.
Über den Autor
David Clayton, Diabetes and Inflammation Laboratory, Cambridge Institute for Medical Research

Michael Hills, London School of Hygiene and Tropical Medicine
Inhaltsverzeichnis
  • 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

Details
Erscheinungsjahr: 2013
Fachbereich: Andere Fachgebiete
Genre: Medizin
Rubrik: Wissenschaften
Medium: Taschenbuch
Seiten: 376
ISBN-13: 9780199671182
ISBN-10: 0199671184
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Clayton & Hills
Hersteller: Oxford University Press(UK)
Maße: 234 x 156 x 21 mm
Von/Mit: Clayton & Hills
Erscheinungsdatum: 17.01.2013
Gewicht: 0,57 kg
preigu-id: 108615573
Über den Autor
David Clayton, Diabetes and Inflammation Laboratory, Cambridge Institute for Medical Research

Michael Hills, London School of Hygiene and Tropical Medicine
Inhaltsverzeichnis
  • 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

Details
Erscheinungsjahr: 2013
Fachbereich: Andere Fachgebiete
Genre: Medizin
Rubrik: Wissenschaften
Medium: Taschenbuch
Seiten: 376
ISBN-13: 9780199671182
ISBN-10: 0199671184
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Clayton & Hills
Hersteller: Oxford University Press(UK)
Maße: 234 x 156 x 21 mm
Von/Mit: Clayton & Hills
Erscheinungsdatum: 17.01.2013
Gewicht: 0,57 kg
preigu-id: 108615573
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