Search Results - "Jumamyradov, Maksat"

Scale and rate heterogeneity in the EQ-5D-5L valuation by Jumamyradov, Maksat, Craig, Benjamin M, Jakubczyk, Michał

“…To estimate values on a quality-adjusted life year (QALY) scale using individual preference evidence, choice analyses typically include ancillary parameters,…”
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Child health valuation protocol for a discrete choice experiment comparing paired comparison and kaizen tasks and estimating US EQ-5D-Y-3L values on an experience scale by Jumamyradov, Maksat, Craig, Benjamin Matthew, Rivero-Arias, Oliver, Jakubczyk, Michał

“…IntroductionA decade ago, the first national valuation study of the EQ-5D-Y-3L (Y-3L) involved a discrete choice experiment (DCE) that asked 4155 US adult…”
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Biases in the Maximum Simulated Likelihood Estimation of the Mixed Logit Model by Jumamyradov, Maksat, Munkin, Murat, Greene, William H., Craig, Benjamin M.

“…In a recent study, it was demonstrated that the maximum simulated likelihood (MSL) estimator produces significant biases when applied to the bivariate normal…”
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Comparing the Conditional Logit Estimates and True Parameters under Preference Heterogeneity: A Simulated Discrete Choice Experiment by Jumamyradov, Maksat, Craig, Benjamin M, Munkin, Murat, Greene, William

“…Health preference research (HPR) is the subfield of health economics dedicated to understanding the value of health and health-related objects using…”
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Measuring Effectiveness Based on Patient Experience (Instead of QALYs) in US Value Assessments by Jumamyradov, Maksat, Craig, Benjamin M.

“…A key challenge in value assessment is how to summarize effectiveness, particularly the impact of interventions on patient health-related quality of life…”
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Essays in the Econometrics of Choice Analysis With Applications in Health Economics by Jumamyradov, Maksat

“…Unobserved heterogeneity is one of the main concerns for applied economists, particularly when modeling preferences for health and healthcare. Applied…”
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Comparing the Mixed Logit Estimates and True Parameters under Informative and Uninformative Heterogeneity: A Simulated Discrete Choice Experiment by Jumamyradov, Maksat, Craig, Benjamin M., Greene, William H., Munkin, Murat

“…In discrete choice experiments (DCEs), differences between respondents’ preferences may be associated with observable or unobservable factors. Unobservable…”
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The Performance of Kaizen Tasks Across Three Online Discrete Choice Experiment Surveys: An Evidence Synthesis by Craig, Benjamin Matthew, Jumamyradov, Maksat, Rivero-Arias, Oliver

“…Background Kaizen is a Japanese term for continuous improvement (kai ~ change, zen ~ good). In a kaizen task, a respondent makes sequential choices to improve…”
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