Cheng Zheng

Associate Professor

University of Nebraska Medical Center

United States

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About

Cheng Zheng is an Associate Professor at the University of Nebraska Medical Center College of Medicine in the United States. His research interests encompass a range of themes including causal effect estimation in competing risk data, high-dimensional mediation analysis, and the impact of area deprivation on pediatric cancer mortality. He has contributed to numerous articles focusing on advanced statistical modeling techniques and their applications in public health and cancer research.

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2022

Collaborators (15)

Edward Peters

Professor and Chair

University of Nebraska College of Public Health

UNITED STATES

Cheng Zheng

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Articles (20)

On Data-Enriched Logistic Regression

Area Deprivation and Pediatric Cancer Mortality: An Analysis of 2000 to 2020 State Cancer Registry Data

Investigating Multiple Causal Mechanisms with Multiple Mediators and Estimating Direct and Indirect Effects: A Joint Modeling Approach for Recurrent and Terminal Events

High-dimensional mediation analysis for longitudinal mediators and survival outcomes

Causal effect estimation for competing risk data in randomized trial: adjusting covariates to gain efficiency

Metabolite Predictors of Breast and Colorectal Cancer Risk in the Women’s Health Initiative

An Efficient Testing Procedure for High-Dimensional Mediators with FDR Control

Biomarker-assessed total energy intake and its cohort study association with all-cause mortality in postmenopausal females

Editorial: Biochemical biomarkers of nutritional status

Exogenous APN protects normal tissues from radiation-induced oxidative damage and fibrosis in mice and prostate cancer patients with higher levels of APN have less radiation-induced toxicities

Exploring causal mechanisms and quantifying direct and indirect effects using a joint modeling approach for recurrent and terminal events

Multivariate longitudinal analysis for the association between brain atrophy and cognitive impairment in prodromal Huntington’s disease subjects

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

Using Controlled Feeding Study for Biomarker Development in Regression Calibration for Disease Association Estimation

False discovery rate‐controlled multiple testing for union null hypotheses: a knockoff‐based approach

Biomarkers for Components of Dietary Protein and Carbohydrate with Application to Chronic Disease Risk in Postmenopausal Women

Mortality Associated with Healthy Eating Index Components and an Empirical-Scores Healthy Eating Index in a Cohort of Postmenopausal Women

Biomarker-Calibrated Red and Combined Red and Processed Meat Intakes with Chronic Disease Risk in a Cohort of Postmenopausal Women

Biomarker-Based Methods and Study Designs to Calibrate Dietary Intake for Assessing Diet–Disease Associations

Quantifying direct and indirect effect for longitudinal mediator and survival outcome using joint modeling approach

Collaborators (15)

Edward Peters

Daniel Raftery

Fred Tabung

Kendra Lynn Ratnapradipa

Linda Van Horn

Marian Neuhouser

Sarah Nash

Ying Huang

Ying Qing Chen

Yasmin Mossavar-Rahmani

Sandi Navarro

Aaron Aragaki

Lei Liu

Yinan Zheng

Emma Hymel

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