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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Health technology assessment: case study on breast carcinoma treatment in the Czech Republic
 Šlegerová, Lenka ; Bryndová, Lucie (advisor) ; Votápková, Jana (referee)
Health technology assessment: case study on breast carcinoma treatment in the Czech Republic Bc. Lenka Šlegerová January 4, 2019 Abstract This thesis proposes an original method for assessing total costs of med- ical treatment. It defines the semi-Markov model with four states that are associated with specific costs of the treatment, and not with patients' health statuses. This method is applied to individuals' treatment data drawn from the Czech clinical practice in the treatment of the metastatic HER2+ breast cancer. The aim is to assess the cost-effectiveness of adding medication per- tuzumab to the combination of trastuzumab+docetaxel within first-line therapy and to examine whether using individual data on Czech patients and the economic conditions leads to different results from foreign stud- ies. Furthermore, employing censored data from the clinical practice in the thesis complicates the estimation of patients' overall survival in compari- son to clinical-trials data that form random samples. Therefore, survival functions were not only estimated by the Kaplan-Meier estimator but also using the Cox proportional hazard model and the Accelerated failure time model that both control for the effects of included covariates. The addition of pertuzumab does not result in significantly longer pa- tients'...
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Goodness-of-fit test for the AFT model based on martingale residuals
 Novák, Petr
The Accelerated Failure Time model presents a way how to easily describe survival data with regression on covariates. It is assumed that each observed unit ages internally faster or slower, depending on the covariate values. To use the model properly, we want to check if observed data fit the model assumptions. In the present work we introduce a goodness-of-fit statistics based on modern martingale theory. On simulated data we try to estimate empirical properties of the test for various situations.
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