Empirical study of correlated survival times for recurrent events with proportional hazards margins and the effect of correlation and censoring

نویسندگان

  • Rodrigo Villegas
  • Olga Julià
  • Jordi Ocaña
چکیده

BACKGROUND In longitudinal studies where subjects experience recurrent incidents over a period of time, such as respiratory infections, fever or diarrhea, statistical methods are required to take into account the within-subject correlation. METHODS For repeated events data with censored failure, the independent increment (AG), marginal (WLW) and conditional (PWP) models are three multiple failure models that generalize Cox's proportional hazard model. In this paper, we revise the efficiency, accuracy and robustness of all three models under simulated scenarios with varying degrees of within-subject correlation, censoring levels, maximum number of possible recurrences and sample size. We also study the methods performance on a real dataset from a cohort study with bronchial obstruction. RESULTS We find substantial differences between methods and there is not an optimal method. AG and PWP seem to be preferable to WLW for low correlation levels but the situation reverts for high correlations. CONCLUSIONS All methods are stable in front of censoring, worsen with increasing recurrence levels and share a bias problem which, among other consequences, makes asymptotic normal confidence intervals not fully reliable, although they are well developed theoretically.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Inference for the Proportional Hazards Family under Progressive Type-II Censoring

In this paper, the well-known proportional hazards model which includes several well-known lifetime distributions such as exponential,Pareto, Lomax, Burr type XII, and so on is considered. With both Bayesian and non-Bayesian approaches , we consider the estimation of parameters of interest based on progressively Type-II right censored samples. The Bayes estimates are obtained based on symmetric...

متن کامل

Point Prediction for the Proportional Hazards Family under Progressive Type-II Censoring

In this paper, we discuss dierent predictors of times to failure of units censored in multiple stages in a progressively censored  sample from proportional hazard rate models. The maximum likelihood predictors, best unbiased predictors and conditional median predictors are considered. We also consider Bayesian point predictors for the times to failure of units. A numerical example and a Monte C...

متن کامل

Analysis of Correlated Recurrent and Terminal Events Data in SAS

Recurrent events data have been increasingly important in clinical studies. There are many methods to analyze this type of data. Several papers have been presented about how to perform repeated events analysis in SAS. In clinical studies, we may encounter recurrent disease episodes in patients with a terminal event such as death, and the terminal event is often strongly correlated with the recu...

متن کامل

Modeling and Inferential Thoughts for Consecutive Gap Times Observed with Death and Censoring

In the perspective of biomedical applications, consider a re- current event situation with a relatively low degree of recurrence. In this setting, the focus is placed on successive inter-event gap times which are observed in the presence of both a terminal event like death and inde- pendent censoring. The terminal event is potentially related to recurrent events while the censoring process is a...

متن کامل

Prediction of Times to Failure of Censored Units in Progressive Hybrid Censored Samples for the Proportional Hazards Family

In this paper, the problem of predicting times to failure of units censored in multiple stages of progressively hybrid censoring for the proportional hazards family is considered. We discuss different classical predictors. The best unbiased predictor ($BUP$), the maximum likelihood predictor ($MLP$) and conditional median predictor ($CMP$) are all derived. As an example, the obtained results ar...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره 13  شماره 

صفحات  -

تاریخ انتشار 2013