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Statistical Methods That Distinguish between Attributes of Assessment

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  • John W. Loewy
  • Asha S. Kapadia
  • Bart Hsi
  • Barry R. Davis

Abstract

The authors propose a method to generate information relevant to the decision tree that adds addibonal perspective to the characterization of health quality during survival. Their approach uses survival data to distinguish two attributes of utility. prolongation of life and quality of life (QOL) Health-state transition probabilities correspond to the prolongation of life and are modeled in a discrete-time transient semi-Markov process. Quality-of-life-state transition probabilities are derived from the assumptions of a simple recurrent Markov proc ess They reflect events within the health-state sojourn time that differentiate perceptions of pain and suffering over a short fixed time period. Outcomes for these two dimensions of utility are highly relevant to the assessment of medical technology that might prolong life at the cost of increased pain and suffering, implying a reduced QOL The methods are dem onstrated on a subset of follow-up data from the Beta-Blocker Heart Attack Trial (BHAT). Key words: occupancy statistics, quality of life, transient semi-Markov process, two- dimensional outcome, waiting-time probabilities (Med Decis Making 1992;12:83-92)

Suggested Citation

  • John W. Loewy & Asha S. Kapadia & Bart Hsi & Barry R. Davis, 1992. "Statistical Methods That Distinguish between Attributes of Assessment," Medical Decision Making, , vol. 12(2), pages 83-92, June.
    • Handle: RePEc:sae:medema:v:12:y:1992:i:2:p:83-92
    DOI: 10.1177/0272989X9201200201
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    References listed on IDEAS

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    1. George Teeling Smith, 1988. "Measuring Health: a Practical Approach," Monograph 000366, Office of Health Economics.
    2. Office of Health Economics, 1972. "Evaluation in the Health Services," Monograph 000207, Office of Health Economics.
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