Gang Li

Gang Li

University of California, Los Angeles

H-index: 52

North America-United States

About Gang Li

Gang Li, With an exceptional h-index of 52 and a recent h-index of 35 (since 2020), a distinguished researcher at University of California, Los Angeles, specializes in the field of Survival Analysis, Longitudinal Data Analysis, High Dimensional Data Analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

The concordance filter: an adaptive model-free feature screening procedure

Immune checkpoint blockade induces distinct alterations in the microenvironments of primary and metastatic brain tumors

Sure Joint Screening for High Dimensional Cox's Proportional Hazards Model Under the Case-Cohort Design

Updated results of a phase Ib single-center study of pembrolizumab in combination with chemotherapy in patients with locally advanced or metastatic small cell/neuroendocrine …

Fast Lasso‐type safe screening for Fine‐Gray competing risks model with ultrahigh dimensional covariates

Two‐step hypothesis testing to detect gene‐environment interactions in a genome‐wide scan with a survival endpoint

Efficient algorithms and implementation of a semiparametric joint model for longitudinal and competing risk data: with applications to massive biobank data

Broken adaptive ridge regression for right-censored survival data

Gang Li Information

University

Position

Professor of Biostatistics

Citations(all)

9807

Citations(since 2020)

4453

Cited By

7163

hIndex(all)

52

hIndex(since 2020)

35

i10Index(all)

104

i10Index(since 2020)

70

Email

University Profile Page

Google Scholar

Gang Li Skills & Research Interests

Survival Analysis

Longitudinal Data Analysis

High Dimensional Data Analysis

Top articles of Gang Li

The concordance filter: an adaptive model-free feature screening procedure

Computational Statistics

2023/9/5

Immune checkpoint blockade induces distinct alterations in the microenvironments of primary and metastatic brain tumors

Journal of Clinical Investigation

2023/9/1

Sure Joint Screening for High Dimensional Cox's Proportional Hazards Model Under the Case-Cohort Design

Journal of Computational Biology

2023/6/1

Updated results of a phase Ib single-center study of pembrolizumab in combination with chemotherapy in patients with locally advanced or metastatic small cell/neuroendocrine …

2023/2/20

Fast Lasso‐type safe screening for Fine‐Gray competing risks model with ultrahigh dimensional covariates

Statistics in medicine

2022/10/30

Two‐step hypothesis testing to detect gene‐environment interactions in a genome‐wide scan with a survival endpoint

Statistics in medicine

2022/4/30

Efficient algorithms and implementation of a semiparametric joint model for longitudinal and competing risk data: with applications to massive biobank data

Computational and mathematical methods in medicine

2022/2/8

Broken adaptive ridge regression for right-censored survival data

Annals of the Institute of Statistical Mathematics

2022/2

METRIC LEARNING VIA CROSS-VALIDATION

Statistica Sinica

2022/1/1

A flexible joint model for multiple longitudinal biomarkers and a time‐to‐event outcome: With applications to dynamic prediction using highly correlated biomarkers

Biometrical Journal

2021/12

Scalable algorithms for large competing risks data

Journal of Computational and Graphical Statistics

2021/9/16

A New ℓ0-Regularized Log-Linear Poisson Graphical Model with Applications to RNA Sequencing Data

Journal of Computational Biology

2021/9/1

A scalable surrogate L0 sparse regression method for generalized linear models with applications to large scale data

Journal of Statistical Planning and Inference

2021/7/1

JMcmprsk: An R Package for Joint Modelling of Longitudinal and Survival Data with Competing Risks.

R J.

2021/6/1

Sure joint feature screening in nonparametric transformation model for right censored data

Canadian Journal of Statistics

2021/6

Variable selection in threshold regression model with applications to HIV drug adherence data

Statistics in biosciences

2020/12

A new joint screening method for right-censored time-to-event data with ultra-high dimensional covariates

Statistical methods in medical research

2020/6

A surrogate ℓ0 sparse Cox's regression with applications to sparse high‐dimensional massive sample size time‐to‐event data

Statistics in medicine

2020/3/15

New Algorithms in RNA Structure Prediction Based on BHG

International Journal of Pattern Recognition and Artificial Intelligence

2020

The broken adaptive ridge procedure and its applications

Statistica Sinica

2020/1/1

See List of Professors in Gang Li University(University of California, Los Angeles)