Handling Missing Covariates in Analyses of Cancer Data

Schenker, Nathaniel

Abstract

Funding Agency

• Agency: National Institute of Health (NIH)
• Institute: National Cancer Institute (NCI)
• Type: Research Project (R01)
• Project #: 5R01CA064235-03
• Application #: 2106583
• Study Section: Special Emphasis Panel (ZRG7-SSS-1 (01))
• Program Officer: Erickson, Burdette (BUD) W
• Project Start: 1994-08-15
• Project End: 1998-05-31
• Budget Start: 1996-06-01
• Budget End: 1997-05-31
• Support Year: 3
• Fiscal Year: 1996

Institution

• Name: University of California Los Angeles
• Department: Biostatistics & Other Math Sci
• Type: Schools of Public Health
• DUNS #: 119132785
• City: Los Angeles
• State: CA
• Country: United States
• Zip Code: 90095

Publications

Zhuang, D; Schenker, N; Taylor, J M et al. (2000) Analysing the effects of anaemia on local recurrence of head and neck cancer when covariate values are missing. Stat Med 19:1237-49

Cho, M; Schenker, N (1999) Fitting the log-F accelerated failure time model with incomplete covariate data. Biometrics 55:826-33

Bycott, P; Taylor, J (1998) A comparison of smoothing techniques for CD4 data measured with error in a time-dependent Cox proportional hazards model. Stat Med 17:2061-77