Modeling absolute differences in life expectancy with a censored skew-normal regression approach.

ABSTRACT: Parameter estimates from commonly used multivariable parametric survival regression models do not directly quantify differences in years of life expectancy. Gaussian linear regression models give results in terms of absolute mean differences, but are not appropriate in modeling life expectancy, because in many situations time to death has a negative skewed distribution. A regression approach using a skew-normal distribution would be an alternative to parametric survival models in the modeling of life expectancy, because parameter estimates can be interpreted in terms of survival time differences while allowing for skewness of the distribution. In this paper we show how to use the skew-normal regression so that censored and left-truncated observations are accounted for. With this we model d

SUBMITTER: Moser A 

PROVIDER: S-EPMC4558072 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature