World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
54
Citations
17482
World Ranking
818
National Ranking
396

Research.com Recognitions

  • 2009 - Samuel S. Wilks Memorial Award, American Statistical Association (ASA)
  • 1986 - Fellow of the American Statistical Association (ASA)

Overview

Lee-Jen Wei is affiliated with Harvard University in the United States. Their research spans various aspects of medicine with a focus on pulmonary and respiratory medicine, rheumatology, and pathology and forensic medicine.

The scientist's recent publications include a meta-analysis titled Risk factors of pulmonary arterial hypertension in patients with systemic lupus erythematosus, published in 2023 in the journal Lupus. This publication has attracted citations and contributes to the broader investigation of pulmonary hypertension within autoimmune conditions.

Their frequent publication venue is:

  • Lupus

Lee-Jen Wei collaborates with several researchers including:

  • Yuqi Liu
  • Cheng Zhen
  • Bowen Zha
  • Xiaohong Chen
  • Zhiyu Gong

Their main fields of study involve Medicine, supported by a trio of publications. Specifically, their work delves into:

  • Pulmonary and Respiratory Medicine
  • Rheumatology
  • Pathology and Forensic Medicine

The central research topics they explore include:

  • Pulmonary Hypertension Research and Treatments
  • Systemic Lupus Erythematosus Research
  • Systemic Sclerosis and Related Diseases

Among the recognitions received, Lee-Jen Wei was awarded the Samuel S. Wilks Memorial Award by the American Statistical Association in 2009. Earlier, in 1986, they were named a Fellow of the American Statistical Association.

Best Publications

  • Checking the Cox model with cumulative sums of martingale-based residuals

    D. Y. Lin;L. J. Wei;Z. Ying

  • On the C-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data.

    Hajime Uno;Tianxi Cai;Michael J. Pencina;Ralph B. D'Agostino

  • Semiparametric regression for the mean and rate functions of recurrent events

    D. Y. Lin;L. J. Wei;I. Yang;Z. Ying

  • The accelerated failure time model: A useful alternative to the cox regression model in survival analysis

    L. J. Wei

  • Cox-Type Regression Analysis for Large Numbers of Small Groups of Correlated Failure Time Observations

    Eric W. Lee;L. J. Wei;David A. Amato;Sue Leurgans

  • Moving Beyond the Hazard Ratio in Quantifying the Between-Group Difference in Survival Analysis

    Hajime Uno;Brian Claggett;Lu Tian;Eisuke Inoue

  • Analysis of transformation models with censored data

    S. C. Cheng;L. J. Wei;Z. Ying

  • Rank-based inference for the accelerated failure time model

    Zhezhen Jin;D. Y. Lin;L. J. Wei;Zhiliang Ying

  • dChipSNP: significance curve and clustering of SNP-array-based loss-of-heterozygosity data

    Ming Lin;Lee-Jen Wei;William R. Sellers;Marshall Lieberfarb

  • Evaluating Prediction Rules for t-Year Survivors With Censored Regression Models

    Hajime Uno;Tianxi Cai;Lu Tian;L. J Wei

  • A unified inference procedure for a class of measures to assess improvement in risk prediction systems with survival data

    Hajime Uno;Lu Tian;Tianxi Cai;Isaac S. Kohane

  • A resampling method based on pivotal estimating functions

    M. I. Parzen;L. J. Wei;Z. Ying

  • Model‐Checking Techniques Based on Cumulative Residuals

    D. Y. Lin;L. J. Wei;Z. Ying

  • A simple resampling method by perturbing the minimand

    Zhezhen Jin;Zhiliang Ying;L. J. Wei

  • Combining dependent tests with incomplete repeated measurements

    L. J. Wei;Wayne E. Johnson

  • Analysis of randomized comparative clinical trial data for personalized treatment selections

    Tianxi Cai;Lu Tian;Peggy H. Wong;L. J. Wei

  • Defibrotide for the Treatment of Severe Hepatic Veno-Occlusive Disease and Multiorgan Failure after Stem Cell Transplantation: A Multicenter, Randomized, Dose-Finding Trial

    Paul G. Richardson;Robert J. Soiffer;Joseph H. Antin;Hajime Uno

  • Interpretability of Cancer Clinical Trial Results Using Restricted Mean Survival Time as an Alternative to the Hazard Ratio

    Kyongsun Pak;Hajime Uno;Dae Hyun Kim;Dae Hyun Kim;Lu Tian

  • On the restricted mean survival time curve in survival analysis.

    Lihui Zhao;Brian Claggett;Lu Tian;Hajime Uno

  • Predicting the restricted mean event time with the subject's baseline covariates in survival analysis

    Lu Tian;Lihui Zhao;L. J. Wei

  • Accuracy of Fibroscan, Compared With Histology, in Analysis of Liver Fibrosis in Patients With Hepatitis B or C: A United States Multicenter Study

    Nezam H. Afdhal;Bruce R. Bacon;Keyur Patel;Eric J. Lawitz

  • Accelerated failure time models for counting processes

    D. Y. Lin;L. J. Wei;Zhiliang Ying

  • Regression analysis of panel count data with covariate-dependent observation and censoring times

    Jianguao Sun;L. J. Wei

Frequent Co-Authors

Brian Claggett
Brian Claggett Brigham and Women's Hospital
Zhiliang Ying
Zhiliang Ying Columbia University
Scott D. Solomon
Scott D. Solomon Brigham and Women's Hospital
Marc A. Pfeffer
Marc A. Pfeffer Harvard Medical School
Danyu Lin
Danyu Lin University of North Carolina at Chapel Hill
Xiping Xu
Xiping Xu Southern Medical University
Daniel L. Alkon
Daniel L. Alkon West Virginia University
Paul G. Richardson
Paul G. Richardson Harvard University
Deborah Schrag
Deborah Schrag Harvard University
Shaun Purcell
Shaun Purcell Harvard Medical School

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