Regression modeling strategies : with applications to linear models, logistic regression, and survival analysis / Frank E. Harrell, Jr.

Format:

Book

Author/Creator:

Harrell, Frank E.

Contributor:

Simon Nelson Patten Fund.

Series:

Springer series in statistics

Language:

English

Subjects (All):

Regression analysis.

Linear models (Statistics).

Physical Description:

xxii, 568 pages : illustrations ; 25 cm.

Place of Publication:

New York : Springer, [2001]

Summary:

There are many books that are excellent sources of knowledge about individual stastical tools (survival models, general linear models, etc.), but the art of data analysis is about choosing and using multiple tools. In the words of Chatfield .,."students typically know the technical details of regressin for example, but not necessarily when and how to apply it. This argues the need for a better balance in the literature and in statistical teaching between techniques and problem solving strategies." Whether analyzing risk factors, adjusting for biases in observational studies, or developing predictive models, there are common problems that few regression texts address. For example, there are missing data in the majority of datasets one is likely to encounter (other than those used in textbooks!) but most regression texts do not include methods for dealing with such data effectively, and texts on missing data do not cover regression modeling.

Notes:

Includes bibliographical references (pages [527]-558) and index.

Local Notes:

Acquired for the Penn Libraries with assistance from the Simon Nelson Patten Fund.

Presented by The American Academy of Political and Social Science in memory of Simon Nelson Patten; 2003/2004

ISBN:

0387952322

OCLC:

45820971