Statistical modeling for biomedical researchers : a simple introduction to the analysis of complex data /

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This text will enable biomedical researchers to use several advanced statistical methods that have proven valuable in medical research. The emphasis is on understanding the assumptions underlying each method, using exploratory techniques to determine the most appropriate method, and presenting resul...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Dupont, William D. (William Dudley), 1946-
Format: Electronic eBook
Language:Inglés
Published: Cambridge : Cambridge University Press, 2002.
Subjects:
Medicine > Research > Methodology.
Medicine > Research > Mathematical models.
Medicine > Research > Statistical methods.
Biometry > methods
Models, Statistical
Data Interpretation, Statistical
Mathematical Computing
Médecine > Recherche > Méthodes statistiques.
Médecine > Recherche > Méthodologie.
Médecine > Recherche > Modèles mathématiques.
MEDICAL > Biostatistics.
Modèles statistiques.
Interprétation statistique des données.
Calcul mathématique ordinateur.
Statistik
Biociências.
Estatística aplicada.
Biométrie.
Médecine > Informatique.
Andre fag (naturvidenskab og teknik) > Andre fag
Problems and Exercises
exercise books.
Problems and exercises.
Problèmes et exercices.
Lehrbuch.
Online Access:Texto completo
Table of Contents:
  • Ch. 1. Introduction
  • Ch. 2. Simple linear regression
  • Ch. 3. Multiple linear regression
  • Ch. 4. Simple logistic regression
  • Ch. 5. Multiple logistic regression
  • Ch. 6. Introduction to survival analysis
  • Ch. 7. Hazard regression analysis
  • Ch. 8. Introduction to poisson regression: inferences on morbidity and mortality rates
  • Ch. 9. Multiple poisson regression
  • Ch. 10. Fixed effects analysis of variance
  • Ch. 11. Repeated-measures analysis of variance.

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