caa a22 4500 475847415 CHVBK 20180406123918.0 cr unu---uuuuu 170329e20000901xx s 000 0 eng 10.1023/A:1008938326604 doi (NATIONALLICENCE)springer-10.1023/A:1008938326604 The use of the Tobit model for analyzing measures of health status [Elektronische Daten] [Peter Austin, Michael Escobar, Jacek Kopec] Self-reported health status is often measured using psychometric or utility indices that provide a score intended to summarize an individual's health. Measurements of health status can be subject to a ceiling effect. Frequently, researchers want to examine relationships between determinants of health and measures of health status. Regression methods that ignore the presence of a ceiling effect, or of censoring in the health status measurements can produce biased coefficient estimates. The Tobit regression model is a frequently used tool for modeling censored variables in econometrics research. The authors carried out a Monte-Carlo simulation study to contrast the performance of the Tobit model for censored data with that of ordinary least squares (OLS) regression. It was demonstrated that in the presence of a ceiling effect, if the conditional distribution of the measure of health status had uniform variance, then the coefficient estimates from the Tobit model have superior performance compared with estimates from OLS regression. However, if the conditional distribution had non-uniform variance, then the Tobit model performed at least as poorly as the OLS model. Kluwer Academic Publishers, 2000 Bias nationallicence Ceiling effect nationallicence Health status nationallicence Health utilities index nationallicence Monte-Carlo simulation nationallicence Tobit model nationallicence Austin Peter Institute for Clinical Evaluative Sciences, North York, Ontario aut Escobar Michael Department of Public Health Sciences, University of Toronto, Toronto, Canada aut Kopec Jacek Institute for Clinical Evaluative Sciences, North York, Ontario aut Quality of Life Research Kluwer Academic Publishers 9/8(2000-09-01), 901-910 0962-9343 9:8<901 2000 9 11136 https://doi.org/10.1023/A:1008938326604 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1008938326604 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Austin Peter Institute for Clinical Evaluative Sciences, North York, Ontario aut NATIONALLICENCE 700 1- Escobar Michael Department of Public Health Sciences, University of Toronto, Toronto, Canada aut NATIONALLICENCE 700 1- Kopec Jacek Institute for Clinical Evaluative Sciences, North York, Ontario aut NATIONALLICENCE 773 0- Quality of Life Research Kluwer Academic Publishers 9/8(2000-09-01), 901-910 0962-9343 9:8<901 2000 9 11136 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer