7 papers
Maximum profile binomial likelihood estimation for the semiparametric Box--Cox power transformation model
Pengfei Li, Tao Yu, Baojiang Chen +1
The Box--Cox transformation model has been widely applied for many years. The parametric version of this model assumes that the random error follows a parametric distribution, say…
Maximum pairwise-rank-likelihood-based inference for the semiparametric transformation model
Tao Yu, Pengfei Li, Baojiang Chen +2
In this paper, we study the linear transformation model in the most general setup. This model includes many important and popular models in statistics and econometrics as special c…
A selective review on calibration information from similar studies based on parametric likelihood or empirical likelihood
Jing Qin, Yukun Liu, Pengfei Li
In multi-center clinical trials, due to various reasons, the individual-level data are strictly restricted to be assessed publicly. Instead, the summarized information is widely av…
Incorporating survival data into case-control studies with incident and prevalent cases
Soutrik Mandal, Jing Qin, Ruth M. Pfeiffer
Typically, case-control studies to estimate odds-ratios associating risk factors with disease incidence from logistic regression only include cases with newly diagnosed disease. Re…
Full-semiparametric-likelihood-based inference for non-ignorable missing data
Yukun Liu, Pengfei Li, Jing Qin
During the past few decades, missing-data problems have been studied extensively, with a focus on the ignorable missing case, where the missing probability depends only on observab…
Test for homogeneity with unordered paired observations
Jiahua Chen, Pengfei Li, Jing Qin +1
In some applications, an experimental unit is composed of two distinct but related subunits. The response from such a unit is but we observe only $Y_1 = \min\{X_{1…