Research Catalog
Regression with social data : modeling continuous and limited response variables
- Title
- Regression with social data : modeling continuous and limited response variables / Alfred DeMaris.
- Author
- DeMaris, Alfred, 1946-
- Publication
- Hoboken, NJ : Wiley-Interscience, ©2004.
Items in the Library & Off-site
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1 Item
Status | Format | Access | Call Number | Item Location |
---|---|---|---|---|
Text | Use in library | HA31.3 .D46 2004 | Off-site |
Details
- Description
- xvii, 534 p. : ill.; 25 cm.
- Summary
- "Regression with Social Data: Modeling Continuous and Limited Response Variables represents the most complete and fully integrated coverage of regression modeling currently available for graduate-level behavioral science students and practitioners. Covering techniques that span the full spectrum of levels of measurement for both continuous and limited response variables, and using examples taken from such disciplines as sociology, psychology, political science, and public health, the author succeeds in demystifying an academically rigorous subject and making it accessible to a wider audience."--Jacket.
- Series Statement
- Wiley series in probability and statistics
- Uniform Title
- Wiley series in probability and statistics
- Subject
- Bibliography (note)
- Includes bibliographical references and index.
- Contents
- Introduction to regression modeling -- Simple linear regression -- Introduction to multiple regression -- Multiple regression with categorical predictors : ANOVA and ANCOVA models -- Modeling nonlinearity -- Advanced issues in multiple regression -- Regression with a binary response -- Advanced topics in logistic regression -- Truncated and censored regression models -- Regression models for an event count -- Introduction to survival analysis -- Multistate, multiepisode, and interval-censored models in survival analysis.
- ISBN
- 0471223379
- 9780471223375
- 0471224855
- 9780471224853
- LCCN
- 2004041183
- 9780471223375
- OCLC
- ocm54279859
- 54279859
- SCSB-14204407
- Owning Institutions
- Princeton University Library