Abstract:
:The concept of broad sense agreement (BSA) has recently been proposed for studying the relationship between a continuous measurement and an ordinal measurement. They developed a nonparametric procedure for estimating the BSA index, which is only applicable to completely observed data. In this work, we consider the problem of evaluating BSA index when the continuous measurement is subject to censoring. We propose a nonparametric estimation method built upon a derivation of a new functional representation of the BSA index, which allows for accommodating censoring by plugging in the nonparametric survival function estimators. We establish the consistency and asymptotic normality for the proposed BSA estimator. We also investigate an alternative approach based on the strategy of multiple imputation, which is shown to have better empirical performance with small sample sizes than the plug-in method. Extensive simulation studies are conducted to evaluate our proposals. We illustrate our methods via an application to a Surgical Intensive Care Unit study.
journal_name
Stat Medjournal_title
Statistics in medicineauthors
Dai T,Guo Y,Peng L,Manatunga Adoi
10.1002/sim.8523subject
Has Abstractpub_date
2020-06-30 00:00:00pages
1952-1964issue
14eissn
0277-6715issn
1097-0258journal_volume
39pub_type
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