Lifetime Data Anal - Estimation of odds of concordance based on the Aalen additive model.

Tópicos

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Resumo

The Cox regression model is often used when analyzing survival data as it provides a convenient way of summarizing covariate effects in terms of relative risks. The proportional hazards assumption may not hold, however. A typical violation of the assumption is time-changing covariate effects. Under such scenarios one may use more flexible models but the results from such models may be complicated to communicate and it is desirable to have simple measures of a treatment effect, say. In this paper we focus on the odds-of-concordance measure that was recently studied by Schemper et al. (Stat Med 28:2473-2489, 2009). They suggested to estimate this measure using weighted Cox regression (WCR). Although WCR may work in many scenarios no formal proof can be established. We suggest an alternative estimator of the odds-of-concordance measure based on the Aalen additive hazards model. In contrast to the WCR, one may derive the large sample properties for this estimator making formal inference possible. The estimator also allows for additional covariate effects.

Resumo Limpo

cox regress model often use analyz surviv data provid conveni way summar covari effect term relat risk proport hazard assumpt may hold howev typic violat assumpt timechang covari effect scenario one may use flexibl model result model may complic communic desir simpl measur treatment effect say paper focus oddsofconcord measur recent studi schemper et al stat med suggest estim measur use weight cox regress wcr although wcr may work mani scenario formal proof can establish suggest altern estim oddsofconcord measur base aalen addit hazard model contrast wcr one may deriv larg sampl properti estim make formal infer possibl estim also allow addit covari effect

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