We study inference for censored survival data where some covariates are distorted by some unknown functions of an observable confounding variable in a......
Longitudinal data analysis has been very common in various fields. It is important in longitudinal studies to choose appropriate numbers of subjects a......
期刊： BIOMETRICAL JOURNAL, 2020; 62 (4)
This paper considers statistical inference for the receiver operating characteristic (ROC) curve in the presence of missing biomarker values by utiliz......
期刊： BIOMETRICAL JOURNAL, 2020; 62 (3)
It is widely known that Instrumental Variable (IV) estimation allows the researcher to estimate causal effects between an exposure and an outcome even......
期刊： BIOMETRICAL JOURNAL, 2020; 62 (5)
This paper discusses regression analysis of the failure time data arising from case-cohort periodic follow-up studies, and one feature of such data, w......
期刊： BIOMETRICAL JOURNAL, 2020; 62 (6)
Count phenotypes with excessive zeros are often observed in the biological world. Researchers have studied many statistical methods for mapping the qu......
期刊： BIOMETRICAL JOURNAL, 2020; 62 (7)
We propose new parametric frameworks of regression analysis with the conditional mode of a bounded response as the focal point of interest. Covariate ......
期刊： BIOMETRICAL JOURNAL, 2020; 62 (8)
For the analysis of ultrahigh-dimensional data, the first step is often to perform screening and feature selection to effectively reduce the dimension......
期刊： BIOMETRICAL JOURNAL, 2019; 61 (3)
An issue for class-imbalanced learning is what assessment metric should be employed. So far, precision-recall curve (PRC) as a metric is rarely used i......
期刊： BIOMETRICAL JOURNAL, 2019; 61 (5)
We present a case study for developing clinical trial scenarios in a complex progressive disease with multiple events of interest. The idea is to firs......
期刊： BIOMETRICAL JOURNAL, 2020; 62 (1)
In this paper, we consider the inherent association between mean and covariance in the joint mean-covariance modeling and propose a joint mean-covaria......
期刊： BIOMETRICAL JOURNAL, 2019; 61 (6)
When establishing a treatment in clinical trials, it is important to evaluate both effectiveness and toxicity. In phase II clinical trials, multinomia......
期刊： BIOMETRICAL JOURNAL, 2019; 61 (6)
In many clinical trials, multiple time-to-event endpoints including the primary endpoint (e.g., time to death) and secondary endpoints (e.g., progress......
期刊： BIOMETRICAL JOURNAL, 2019; 61 (6)
Recently, although advances were made on modeling multivariate count data, existing models really has several limitations: (i) The multivariate Poisso......
期刊： BIOMETRICAL JOURNAL, 2018; 60 (1)
Semiparametric smoothing methods are usually used to model longitudinal data, and the interest is to improve efficiency for regression coefficients. T......
