Analysing multiple variables per subject

Janet L. Peacock and Philip J. Peacock

in Oxford Handbook of Medical Statistics

Published on behalf of Oxford University Press

ISBN: 9780199551286
Published online June 2011 | e-ISBN: 9780191726361 | DOI:

Series: Oxford Medical Handbooks

Analysing multiple variables per subject

Show Summary Details


Multiple variables per subject - Multifactorial methods: overview - Multifactorial methods: model selection - Multifactorial methods: challenges - Missing data - Generalized linear models - Multiple regression - Multiple regression: examples - Multiple regression and analysis of variance - Main effects and interactions - Linear and non-linear terms - How well the model fits - Sample size for multiple regression - Logistic regression - Logistic regression: examples - Logistic regression and ROC curves - Extensions to logistic regression - Cox proportional hazards regression - Cox regression: example - Poisson regression - Poisson regression: example - Multilevel models - Generalized estimating equations (GEEs) - GEEs: example - Principal components analysis - Principal components analysis: example - Cluster analysis - Factor analysis

Chapter.  15587 words.  Illustrated.

Subjects: Medical Statistics and Methodology

Full text: subscription required

How to subscribe Recommend to my Librarian

Buy this work at Oxford University Press »

Users without a subscription are not able to see the full content. Please, subscribe or login to access all content.