Regression with Linear Predictors

This text provides, in a non-technical language, a unified treatment of regression models for different outcome types, such as linear regression, logistic regression, and Cox regression. This is done by focusing on the many common aspects of these models, in particular the linear predictor, which co...

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Bibliographic Details
Main Authors: Andersen, Per Kragh. (Author), Skovgaard, Lene Theil. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic
Language:English
Published: New York, NY : Springer New York, 2010.
Series:Statistics for Biology and Health,
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4419-7170-8
Table of Contents:
  • Introduction
  • Statistical models and inference
  • Regression models with one categorical covariate
  • A single quantitative covariate
  • Multiple regression, the linear predictor
  • Model building
  • Other link functions and other types of outcome
  • Further topics.