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On induced dependent censoring for quality adjusted lifetime (QAL) data in a simple illness-death model

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  • Pradhan, Biswabrata
  • Dewanji, Anup

Abstract

It is well known that the Kaplan-Meier estimate of QAL data leads to a biased estimate due to the induced dependence between the QAL and censoring time in the QAL scale. However, the issue of induced dependent censoring in the QAL scale remains less understood. We present a formal study of this induced dependence in the context of a simple illness-death model. The bias of the Kaplan-Meier estimate of the QAL distribution has been investigated.

Suggested Citation

  • Pradhan, Biswabrata & Dewanji, Anup, 2009. "On induced dependent censoring for quality adjusted lifetime (QAL) data in a simple illness-death model," Statistics & Probability Letters, Elsevier, vol. 79(20), pages 2170-2176, October.
    • Handle: RePEc:eee:stapro:v:79:y:2009:i:20:p:2170-2176
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    References listed on IDEAS

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    1. Hongwei Zhao & Anastasios A. Tsiatis, 1999. "Efficient Estimation of the Distribution of Quality-Adjusted Survival Time," Biometrics, The International Biometric Society, vol. 55(4), pages 1101-1107, December.
    2. Mark J. Laan & Alan Hubbard, 1999. "Locally Efficient Estimation of the Quality-Adjusted Lifetime Distribution with Right-Censored Data and Covariates," Biometrics, The International Biometric Society, vol. 55(2), pages 530-536, June.
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