## Find a copy in the library

Finding libraries that hold this item...

## Details

Additional Physical Format: | Online version: Hoffmann, John P. (John Patrick), 1962- Regression models for categorical, count, and related variables. Oakland, California : University of California Press, [2016] (DLC) 2016032215 |
---|---|

Document Type: | Book |

All Authors / Contributors: |
John P Hoffmann |

ISBN: | 9780520289291 0520289293 |

OCLC Number: | 953101029 |

Description: | xv, 411 pages : illustrations ; 26 cm |

Contents: | Review of linear regression models -- Categorical data and generalized linear models -- Logistic and probit regression models -- Ordered logistic and probit regression models -- Multinomial logistic and probit regression models -- Poisson and negative binomial regression models -- Event history models -- Regression models for longitudinal data -- Multilevel regression models -- Principal components and factor analysis -- Appendix A : SAS, SPSS, and R code for examples in chapters -- Appendix B : using simulations to examine assumptions of OLS regression -- Appendix C : working with missing data. |

Responsibility: | John P. Hoffmann. |

### Abstract:

Social science and behavioral science students and researchers are often confronted with data that are categorical, count a phenomenon, or have been collected over time. This book provides an introduction and overview of several statistical models designed for these types of outcomes.
Read more...

## Reviews

*User-contributed reviews*

Add a review and share your thoughts with other readers.
Be the first.

Add a review and share your thoughts with other readers.
Be the first.

## Tags

Add tags for "Regression models for categorical, count, and related variables : an applied approach".
Be the first.