Lifetime Data Anal - Additive-multiplicative rates model for recurrent events.

Tópicos

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Resumo

Recurrent events are frequently encountered in biomedical studies. Evaluating the covariates effects on the marginal recurrent event rate is of practical interest. There are mainly two types of rate models for the recurrent event data: the multiplicative rates model and the additive rates model. We consider a more flexible additive-multiplicative rates model for analysis of recurrent event data, wherein some covariate effects are additive while others are multiplicative. We formulate estimating equations for estimating the regression parameters. The estimators for these regression parameters are shown to be consistent and asymptotically normally distributed under appropriate regularity conditions. Moreover, the estimator of the baseline mean function is proposed and its large sample properties are investigated. We also conduct simulation studies to evaluate the finite sample behavior of the proposed estimators. A medical study of patients with cystic fibrosis suffered from recurrent pulmonary exacerbations is provided for illustration of the proposed method.

Resumo Limpo

recurr event frequent encount biomed studi evalu covari effect margin recurr event rate practic interest main two type rate model recurr event data multipl rate model addit rate model consid flexibl additivemultipl rate model analysi recurr event data wherein covari effect addit other multipl formul estim equat estim regress paramet estim regress paramet shown consist asymptot normal distribut appropri regular condit moreov estim baselin mean function propos larg sampl properti investig also conduct simul studi evalu finit sampl behavior propos estim medic studi patient cystic fibrosi suffer recurr pulmonari exacerb provid illustr propos method

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