20 citations · 32 across the 11 of their papers we have counts for
12 papers
Retrospective score tests versus prospective score tests for genetic association with case-control data
Yukun Liu, Pengfei Li, Lei Song +2
Since the seminal work by Prentice and Pyke (1979), the prospective logistic likelihood has become the standard method of analysis for retrospectively collected case-control data,…
Empirical likelihood meta analysis with publication bias correction under Copas-like selection model
Mengke Li, Yukun Liu, Pengfei Li +1
Meta analysis is commonly-used to synthesize multiple results from individual studies. However, its validation is usually threatened by publication bias and between-study heterogen…
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…
Inference for case-control studies with incident and prevalent cases
Marlena Maziarz, Yukun Liu, Jing Qin +1
We propose and study a fully efficient method to estimate associations of an exposure with disease incidence when both, incident cases and prevalent cases, i.e. individuals who wer…
A Nonparametric Likelihood Approach for Inference in Instrumental Variable Models
Kwonsang Lee, Bhaswar B. Bhattacharya, Jing Qin +1
Instrumental variable methods allow for inference about the treatment effect by controlling for unmeasured confounding in randomized experiments with noncompliance. However, many s…
Combining isotonic regression and EM algorithm to predict genetic risk under monotonicity constraint
Jing Qin, Tanya P. Garcia, Yanyuan Ma +3
In certain genetic studies, clinicians and genetic counselors are interested in estimating the cumulative risk of a disease for individuals with and without a rare deleterious muta…
Maximum Smoothed Likelihood Component Density Estimation in Mixture Models with Known Mixing Proportions
Tao Yu, Pengfei Li, Jing Qin
In this paper, we propose a maximum smoothed likelihood method to estimate the component density functions of mixture models, in which the mixing proportions are known and may diff…