| Title:
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REGRESSION METHODS IN BIOSTATISTICS
LINEAR, LOGISTIC, SURVIVAL, AND REPEATED MEASURES MODELS |
| By: |
Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski |
| Format: |
Hardback |
| List price:
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£81.00 |
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| ISBN 10: |
0387202757 |
| ISBN 13: |
9780387202754 |
| Publisher: |
SPRINGER-VERLAG NEW YORK INC. |
| Pub. date: |
4 January, 2005 |
| Series: |
Statistics for Biology and Health |
| Pages: |
360 |
| Description: |
Offers an introduction to the multipredictor regression methods widely used in biostatistics. This book focuses on the many-shared elements in the methods presented for selecting, estimating, checking, and interpreting each of these models. |
| Synopsis: |
Here is a unified, readable introduction to multipredictor regression methods in biostatistics, including linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, and generalized linear models for counts and other outcomes. The authors describe shared elements in methods for selecting, estimating, checking, and interpreting each model, and show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way. |
| Illustrations: |
1, black & white illustrations |
| Publication: |
US |
| Imprint: |
Springer-Verlag New York Inc. |
| Returns: |
Returnable |
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