Mei‐jie Zhang

发表

Instrumental variable with competing risk model

C. Zheng, Ran Dai, P. Hari, 2016, Statistics in medicine.

Modeling Random Effects for Censored Data by a Multivariate Normal Regression Model

J. Klein, Mei‐jie Zhang, Corey Pelz, 1999, Biometrics.

An Additive–Multiplicative Cox–Aalen Regression Model

Mei‐jie Zhang, T. Scheike, 2002 .

On High-Dimensional Covariate Adjustment for Estimating Causal Effects in Randomized Trials with Survival Outcomes

C. Zheng, Ran Dai, Mei‐jie Zhang, 2018, Statistics in Biosciences.

Identification of Nonlinear Time Series from First Order Cumulative Characteristics

I. McKeague, Mei‐jie Zhang, 1994 .

Comparing reference charts for cross-sectional and longitudinal data

Mei‐jie Zhang, T. Scheike, A. Juul, 1997 .

Stratified proportional subdistribution hazards model with covariate‐adjusted censoring weight for case‐cohort studies

Mei‐jie Zhang, Yayun Xu, K. Ahn, 2020, Scandinavian Journal of Statistics.

Extensions and Applications of the Cox‐Aalen Survival Model

Mei-Jie Zhang, Thomas H Scheike, Mei‐jie Zhang, 2003, Biometrics.

Analyzing Competing Risk Data Using the R timereg Package.

Mei-Jie Zhang, Thomas H Scheike, Mei‐jie Zhang, 2011, Journal of statistical software.

Flexible competing risks regression modeling and goodness-of-fit

Mei-Jie Zhang, Thomas H. Scheike, Mei‐jie Zhang, 2008, Lifetime data analysis.

A Proportional Hazards Regression Model for the Subdistribution with Covariates‐adjusted Censoring Weight for Competing Risks Data

Mei‐jie Zhang, T. Scheike, F. Eriksson, 2016, Scandinavian journal of statistics, theory and applications.

Modeling cumulative incidence function for competing risks data

Mei-Jie Zhang, Thomas H Scheike, Xu Zhang, 2008, Expert review of clinical pharmacology.

Cumulative regression function tests for regression models for longitudinal data

Mei-Jie Zhang, Thomas H. Scheike, Mei‐jie Zhang, 1998 .

Competing risks regression models with covariates-adjusted censoring weight under the generalized case-cohort design

D. Couper, Mei‐jie Zhang, Yayun Xu, 2022, Lifetime Data Analysis.

Summarizing differences in cumulative incidence functions

Mei-Jie Zhang, Jason Fine, Mei‐jie Zhang, 2008, Statistics in medicine.

Design and rationale for the life after stopping tyrosine kinase inhibitors (LAST) study, a prospective, single-group longitudinal study in patients with chronic myeloid leukemia

K. Weinfurt, J. Radich, R. Larson, 2018, BMC Cancer.

Direct Modelling of Regression Effects for Transition Probabilities in Multistate Models

Mei-Jie Zhang, Thomas H. Scheike, Mei‐jie Zhang, 2007 .

Estimation of causal quantile effects with a binary instrumental variable and censored data

Jason P. Fine, Bo Wei, Limin Peng, 2021, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Checking Fine and Gray subdistribution hazards model with cumulative sums of residuals

Mei‐jie Zhang, T. Scheike, Jianing Li, 2014, Lifetime Data Analysis.

MODELING THE SUBDISTRIBUTION OF A COMPETING RISK

Mei-Jie Zhang, Jianguo Sun, Liuquan Sun, 2006 .

The proportional odds cumulative incidence model for competing risks

Mei-Jie Zhang, Frank Eriksson, Thomas Scheike, 2015, Biometrics.

Cox proportional hazards regression models for survival data in cancer research.

Mei-Jie Zhang, Mei‐jie Zhang, 2002, Cancer treatment and research.

GROUPED FAILURE TIMES TIED FAILURE TIMES TWO CONTRIBUTIONS TO THE ENCYCLOPEDIA OF BIOSTATISTICS

Mei‐jie Zhang, 1997 .

Inference of Transition Probabilities in Multi-State Models Using Adaptive Inverse Probability Censoring Weighting Technique

Ying Zhang, Mei-Jie Zhang, Mei‐jie Zhang, 2020 .

The proportional odds cumulative incidence model for competing risks

Mei‐jie Zhang, T. Scheike, F. Eriksson, 2015, Biometrics.

Identification of Nonlinear Time Series from First Order Cumulative Characteristics

I. McKeague, Mei‐jie Zhang, 1994 .