- Cost-effectiveness in clinical trials: using multiple imputation to deal with incomplete cost dataAndrea Burton
Cancer Research UK Clinical Trials Unit, University of Birmingham, Birmingham, UK
Clin Trials 4:154-61. 2007..The 82 patients with complete data were not representative of all trial patients in terms of effectiveness and thus it was necessary to address the missing data problem...
- Missing covariate data within cancer prognostic studies: a review of current reporting and proposed guidelinesA Burton
Cancer Research UK Clinical Trials Unit, University of Birmingham, Birmingham B15 2TT, UK
Br J Cancer 91:4-8. 2004..Guidelines for presenting prognostic studies with missing covariate data are proposed, which if followed should clarify and standardise the reporting in future articles...
- The design of simulation studies in medical statisticsAndrea Burton
Cancer Research UK NHS Centre for Statistics in Medicine, Oxford, UK
Stat Med 25:4279-92. 2006..A checklist highlighting the important considerations when designing a simulation study is provided. A small review of the literature identifies the current practices within published simulation studies...
- Evaluation of software for multiple imputation of semi-continuous dataL M Yu
Cancer Research UK NHS Centre for Statistics in Medicine, Wolfson College Annexe, Linton Road, Oxford, UK
Stat Methods Med Res 16:243-58. 2007..The findings of this study showed differences in the performance of the MI programs when imputing semi-continuous data. Caution should be exercised when deciding which program should perform MI on this type of data...