PMID: 9004383Jan 15, 1997Paper

Some issues in estimating the effect of prognostic factors from incomplete covariate data

Statistics in Medicine
W Vach

Abstract

In evaluating prognostic factors by means of regression models, missing values in the covariate data are a frequent complication. There exist statistical tools to analyse such incomplete data in an efficient manner, and in this paper we make use of the traditional maximum likelihood principle. As well as an analysis including the incompletely measured covariates, such tools also allow further strategies of data analysis. For example, we can use surrogate variables to improve the prediction of missing values or we can try to investigate a questionable "missing at random' assumption. We discuss these techniques using the example of a clinical study where one important covariate is missing for about half the subjects. Additionally we consider two further issues: evaluation of differences between estimates from a complete case analysis and analyses using all subjects and assessment of the predictive value of missing values.

Citations

Nov 12, 2005·International Journal of Health Geographics·M Norman OliverLinda W Pickle
Feb 25, 2006·Occupational and Environmental Medicine·J WellmannK Straif
Apr 14, 2015·BioMed Research International·Enrique Redondo-GonzalezJuan Manuel Corchado
May 29, 1999·Statistical Methods in Medical Research·N J Horton, N M Laird
Sep 23, 2008·Seminars in Cardiothoracic and Vascular Anesthesia·Brian H Nathanson, Thomas L Higgins
Jul 17, 2013·Journal of Thrombosis and Haemostasis : JTH·J M T HendriksenJ A H de Groot
Mar 5, 1999·Breast Cancer Research and Treatment·D G Altman, G H Lyman
Mar 1, 2016·Therapeutic Innovation & Regulatory Science·Rong Tang, Gene Pennello
Aug 30, 2019·Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology·Crystal S LanglaisJune M Chan
Dec 1, 2004·Statistics in Medicine·Ian R White, Simon G Thompson

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