Ford, I. , Norrie, J. and Ahmadi, S. (1995) Model inconsistency, illustrated by Cox proportional hazards model. Statistics in Medicine, 14(8), pp. 735-746. (doi: 10.1002/sim.4780140804)
Full text not currently available from Enlighten.
Abstract
We consider problems involving the comparison of two or more treatments where we have the opportunity to adjust for relevant covariates either conditionally in a regression model or implicitly in repeated measures data, for example, in crossover trials. It is seen that for data arising from non-Normal distributions there is the possibility that models adjusting for covariates and those not adjusting for covariates will be inconsistent, that is, at most one of the models can be valid. Alternatively, even if conditional and unconditional models are valid, parameters in each model may have different interpretations. We note that this presents difficulties for the specification and interpretation of the analysis. It is also clear that model validation is critical. Specific attention is paid to survival data analysed by the Cox proportional hazards model.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Norrie, Prof John and Ford, Professor Ian |
| Authors: | Ford, I., Norrie, J., and Ahmadi, S. |
| Subjects: | R Medicine > R Medicine (General) |
| College/School: | College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > Robertson Centre |
| Journal Name: | Statistics in Medicine |
| ISSN: | 0277-6715 |
| Published Online: | 28 February 2007 |
University Staff: Request a correction | Enlighten Editors: Update this record
Deposit and Record Details
Deposit and Record Details