Options for Handling Missing Data in the Health Utilities Index Mark 3
نویسندگان
چکیده
منابع مشابه
The Health Utilities Index 1 the Health Utilities Index
The Health Utilities Index (HUI) system is a generic, preference-based measure of health status intended for use in clinical outcomes measurement, in health surveys, in program planning and resource allocation. The utility scores provide a summary index of health-related quality of life on a zero to 1.0 scale; they may be used in cost-utility analyses to calculate quality-adjusted life years an...
متن کاملThe construct validity of the health utilities index mark 3 in assessing health status in lung transplantation
PURPOSE To assess the cross-sectional construct validity of the Health Utilities Index Mark 3 (HUI3) in lung transplantation. METHODS Two hundred and thirteen patients (103 pre-transplant and 110 post-transplant) with mean age 53 years old (SD 13) were recruited during a randomized controlled clinical trial at the out-patient clinic in a tertiary institution. At baseline, patients self-comple...
متن کاملValidity of the Iranian Version of Health Utility Index Mark 3 Quality of Life Questionnaire
Background: The aim of this study was to standardize and develop the health utility index III (HUI3); quality of life questionnaire. This study was conducted for the first time in Iran. Method: Forward-backward translation method was applied in order to translate the Canadian version into Persian. The final version was developed after modifica...
متن کاملStrategies for Handling Missing Data in Electronic Health Record Derived Data
Electronic health records (EHRs) present a wealth of data that are vital for improving patient-centered outcomes, although the data can present significant statistical challenges. In particular, EHR data contains substantial missing information that if left unaddressed could reduce the validity of conclusions drawn. Properly addressing the missing data issue in EHR data is complicated by the fa...
متن کاملMissing Data Handling in Multi-Layer Perceptron
Multi layer perceptron with back propagation algorithm is popular and more used than other neural network types in various fields of investigation as a non-linear predictor. Though MLP can solve complex and non-linear problems, it cannot use missing data for training directly. We propose a training algorithm with incomplete pattern data using conventional MLP network. Focusing on the fact that ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Medical Decision Making
سال: 2005
ISSN: 0272-989X,1552-681X
DOI: 10.1177/0272989x05275153