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National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Methods for Analyzing Change From Baseline to Final Assessment
 Pekařová, Lucie ; Kulich, Michal (advisor) ; Hušková, Marie (referee)
In this thesis, we analyze treatment effect estimate in randomized clinical studies. Treatment effect estimates are constructed on the basis of three models. The first part of this thesis is about the behaviour of these estimates when the treatment effects vary with patients. We find out that all types of estimates are consistent and we derived their asymptotic distribution. The estimates are compared by their asymptotic variances. The theoretical conclusions are confirmed by a simulation study. The second part describes the case where measurements of baseline and final values contain an error. Two estimates are analyzed. We find out that both estimates are consistent. We derive their asymptotic distribution and compare their variances.
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Analysis of Outcome Change in Randomized Studies
 Hanuš, Antonín ; Kulich, Michal (advisor) ; Malý, Marek (referee)
Antonín Hanuš 5. prosince 2014 This work deals with randomized clinical trials of medicaments. It examines three models of dependece of final values on initial values in case, that all variables are measured with some measurement error. For each model is derived effect of treatment estimate and its asymptotical properties, specifically consistency and asymptotical variance. The work mostly deals with linear model of analysis of covariance ANCOVA. The work fruther contents comparison of properties of estimates from all three models in case, that examined data come from a linear model. There is a comparison of asymptotical variances of estimates from all three models and for each of them there are examined conditions, when this model gives the best results. In the end there is a simulation study, which verifies all previous results. 1
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Methods for Analyzing Change From Baseline to Final Assessment
 Pekařová, Lucie ; Kulich, Michal (advisor) ; Hušková, Marie (referee)
In this thesis, we analyze treatment effect estimate in randomized clinical studies. Treatment effect estimates are constructed on the basis of three models. The first part of this thesis is about the behaviour of these estimates when the treatment effects vary with patients. We find out that all types of estimates are consistent and we derived their asymptotic distribution. The estimates are compared by their asymptotic variances. The theoretical conclusions are confirmed by a simulation study. The second part describes the case where measurements of baseline and final values contain an error. Two estimates are analyzed. We find out that both estimates are consistent. We derive their asymptotic distribution and compare their variances.
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