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Analysis of survival data with missing measurements of a time-dependent binary covariate.

Publication ,  Journal Article
Halabi, S; Wun, C-C; Davis, BR
Published in: J Biopharm Stat
May 2003

The objective of this study was to investigate the influence of the number and timing of a binary time-dependent covariate on the bias using the last-observation carried forward in the proportional hazards model. Under various assumptions of censoring rates, transition probabilities of the time-dependent covariate, sample size, and the log hazard-ratio for the covariate, we empirically examined the impact that the number and timing have on the bias of the estimator of the covariate. An example from the Systolic Hypertension in the Elderly Program was used. Inference on the effect of systolic blood pressure on survival is strongly affected by the number and timing of systolic blood measurements.

Duke Scholars

Published In

J Biopharm Stat

DOI

ISSN

1054-3406

Publication Date

May 2003

Volume

13

Issue

2

Start / End Page

253 / 270

Location

England

Related Subject Headings

  • Time Factors
  • Survival Analysis
  • Statistics & Probability
  • Randomized Controlled Trials as Topic
  • Proportional Hazards Models
  • Humans
  • 4905 Statistics
  • 3214 Pharmacology and pharmaceutical sciences
  • 1115 Pharmacology and Pharmaceutical Sciences
 

Citation

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Halabi, S., Wun, C.-C., & Davis, B. R. (2003). Analysis of survival data with missing measurements of a time-dependent binary covariate. J Biopharm Stat, 13(2), 253–270. https://doi.org/10.1081/BIP-120019270
Halabi, Susan, Chuan-Chuan Wun, and Barry R. Davis. “Analysis of survival data with missing measurements of a time-dependent binary covariate.J Biopharm Stat 13, no. 2 (May 2003): 253–70. https://doi.org/10.1081/BIP-120019270.
Halabi S, Wun C-C, Davis BR. Analysis of survival data with missing measurements of a time-dependent binary covariate. J Biopharm Stat. 2003 May;13(2):253–70.
Halabi, Susan, et al. “Analysis of survival data with missing measurements of a time-dependent binary covariate.J Biopharm Stat, vol. 13, no. 2, May 2003, pp. 253–70. Pubmed, doi:10.1081/BIP-120019270.
Halabi S, Wun C-C, Davis BR. Analysis of survival data with missing measurements of a time-dependent binary covariate. J Biopharm Stat. 2003 May;13(2):253–270.
Journal cover image

Published In

J Biopharm Stat

DOI

ISSN

1054-3406

Publication Date

May 2003

Volume

13

Issue

2

Start / End Page

253 / 270

Location

England

Related Subject Headings

  • Time Factors
  • Survival Analysis
  • Statistics & Probability
  • Randomized Controlled Trials as Topic
  • Proportional Hazards Models
  • Humans
  • 4905 Statistics
  • 3214 Pharmacology and pharmaceutical sciences
  • 1115 Pharmacology and Pharmaceutical Sciences