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Statistical modeling for biomedical researchers [electronic resource] : a simple introduction to the analysis of complex data / William D. Dupont.

By: Material type: TextTextPublication details: Cambridge : Cambridge University Press, 2002.Description: 1 online resource (xvii, 386 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 0521820618
  • 9780521820615
  • 0521655781
  • 9780521655781
  • 0511061749
  • 9780511061745
  • 0511055412
  • 9780511055416
  • 0511070209
  • 9780511070204
  • 0511121164
  • 9780511121166
Subject(s): Genre/Form: Additional physical formats: Print version:: Statistical modeling for biomedical researchers.DDC classification:
  • 610.727 21
LOC classification:
  • R853.M3 D865 2002eb
NLM classification:
  • 2002 O-369
  • WA 18.2
Online resources:
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.
Summary: 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 results in a way that will be readily understood.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library EBSCO Medical Available
Total holds: 0

Includes bibliographical references and index.

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.

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 results in a way that will be readily understood.

Print version record.

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