Semiparametric Regression Models for Repeated Events with Random Effects and Measurement Error

Autor:	Wenxin Jiang, Larry C. Clark, Bruce W. Turnbull
Rok vydání:	1999
Předmět:	Statistics and Probability Regression analysis Fixed effects model Random effects model Point process symbols.namesake Linear regression Statistics Covariate symbols Econometrics Statistics::Methodology Poisson regression Semiparametric regression Statistics Probability and Uncertainty Mathematics
Zdroj:	Journal of the American Statistical Association. 94:111-124
ISSN:	1537-274X 0162-1459
DOI:	10.1080/01621459.1999.10473828
Popis:	Statistical methodology is presented for the regression analysis of multiple events in the presence of random effects and measurement error. Omitted covariates are modeled as random effects. Our approach to parameter estimation and significance testing is to start with a naive model of semiparametric Poisson process regression, and then to adjust for random effects and any possible covariate measurement error. We illustrate the techniques with data from a randomized clinical trial for the prevention of recurrent skin tumors.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b3a178f7b413fd548e4009d609ce9706 https://doi.org/10.1080/01621459.1999.10473828 Zobrazit plný text záznamu