The stiqsp command: A nonparametric approach for the simultaneous analysis of quality-of-life and survival data using the integrated quality survival product

Piers Gaunt, Michael J. Crowther and Lucinda Billingham
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Piers Gaunt: Cancer Research UK Clinical Trials Unit, University of Birmingham
Michael J. Crowther: Centre for Biostatistics and Genetic Epidemiology, University of Leicester
Lucinda Billingham: Cancer Research UK Clinical Trials Unit, University of Birmingham

United Kingdom Stata Users' Group Meetings 2013 from Stata Users Group

Abstract: In medical research, particularly in the field of cancer, it is often important to evaluate the impact of treatments and other factors on a composite outcome based on survival and quality-of-life data, such as a Quality Adjusted Life Year (QALY). We present a Stata program, stiqsp, which determines the mean QALY using the Integrated Quality Survival Product. In this nonparametric approach, the survival function is estimated using the Kaplan–Meier method and the quality-of-life function is derived from the mean quality-of-life score at the unique death times. Confidence intervals for the QALY score are determined using the bootstrap method. We illustrate the features of the command with a large dataset of patients with lung cancer.

Date: 2013-09-16
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Persistent link: https://EconPapers.repec.org/RePEc:boc:usug13:08

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