Abstract
We discuss parametric estimation of quality adjusted lifetime distribution in simple illness-death model. Model parameters are estimated by maximum likelihood method. The distribution of QAL is estimated by replacing the parameters by their estimates. A regression model is also considered. A simulation study investigates bias and precision of the estimate of QAL distribution and compares it with an existing nonparametric estimate. Another simulation study investigates the effect of model misspecification. Application of our methodology has been illustrated using the Stanford heart transplant data.
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