Search

Purpose The Quality of Life Alzheimer’s Disease Scale (QoL-AD) is commonly used to assess disease specific health-related quality of life (HRQoL) as rated by patients and their carers. For cost-effectiveness analyses, utilities based on the EQ-5D are often required. We report a new mapping algorithm to obtain EQ-5D indices when only QoL-AD data are available. Methods Different statistical models to estimate utility directly, or responses to individual EQ-5D questions (response mapping) from QoL-AD, were trialled for patient-rated and proxy-rated questionnaires. Model performance was assessed by root mean square error and mean absolute error. Results The response model using multinomial regression including age and sex, performed best in both the estimation dataset and an independent dataset. Conclusions The recommended mapping algorithm allows researchers for the first time to estimate EQ-5D values from QoL-AD data, enabling cost-utility analyses using datasets where the QoL-AD but no utility measures were collected.

In dit proefschrift worden diverse statistische en wiskundige modellen voor HIV en HCV co-infectie en voor nosocomiale infecties gepresenteerd. De modellen werden toegepast op vier verschillende studies, rekening houdend met de doelstellingen en kenmerken van elk onderzoek. This thesis presents several statistical and mathematical models applied to HIV and HCV co-infection and to nosocomial infections. The models were applied to four different studies, taking into account the objectives and characteristics of each of the studies. Regarding the statistical methods we focus on those applied to type II intervalcensored data. We include an overview of existing methods and software availability to analyse this type of data.