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D-Index & Metrics

Mathematics

D-Index
47
Citations
18037
World Ranking
1231
National Ranking
545

Research.com Recognitions

  • 2016 - Fellow of the American Statistical Association (ASA)

Overview

Haitao Chu is affiliated with the University of Minnesota in the United States. Their research primarily spans the field of Medicine, with a significant focus on statistical and methodological approaches applied within clinical research.

The main fields of study for Haitao Chu include:

  • Medicine

Their subfields of study cover various aspects of statistics and health sciences, including:

  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Economics and Econometrics
  • Infectious Diseases
  • Hematology

Research topics frequently addressed by Haitao Chu are:

  • Meta-analysis and systematic reviews
  • Statistical Methods in Clinical Trials
  • Statistical Methods and Bayesian Inference
  • Health Systems, Economic Evaluations, Quality of Life
  • Advanced Causal Inference Techniques
  • Economic and Environmental Valuation
  • Statistical Methods and Inference

Haitao Chu has published extensively, with notable recent papers including:

  • "Optimally estimating the sample standard deviation from the five-number summary," 2020, Research Synthesis Methods
  • "Meta-analysis of Proportions Using Generalized Linear Mixed Models," 2020, Epidemiology
  • "Characterizing Long COVID: Deep Phenotype of a Complex Condition," 2021, EBioMedicine
  • "Effectiveness of Messenger RNA Coronavirus Disease 2019 (COVID-19) Vaccines Against Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection in a Cohort of Healthcare Personnel," 2021, Clinical Infectious Diseases
  • "Exclusion of studies with no events in both arms in meta-analysis impacted the conclusions," 2020, Journal of Clinical Epidemiology

Frequent publication venues for Haitao Chu include:

  • UNC Libraries
  • Research Synthesis Methods
  • Journal of Clinical Epidemiology
  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)

The scientist has collaborated extensively with several coauthors. Frequent collaborators include:

  • Lifeng Lin
  • Yong Chen
  • Joseph C. Cappelleri
  • Stephen R. Cole
  • M. Hassan Murad

Recognition for Haitao Chu's professional contributions includes being named a Fellow of the American Statistical Association (ASA) in 2016.

Best Publications

  • An intervention to decrease catheter-related bloodstream infections in the ICU

    Peter Pronovost;Dale Needham;Sean Berenholtz;David Sinopoli

  • Quantifying publication bias in meta-analysis

    Lifeng Lin;Haitao Chu

  • Illustrating bias due to conditioning on a collider

    Stephen R Cole;Robert W. Platt;Enrique F. Schisterman;Haitao Chu

  • Off-pump coronary artery bypass grafting provides complete revascularization with reduced myocardial injury, transfusion requirements, and length of stay: A prospective randomized comparison of two hundred unselected patients undergoing off-pump versus conventional coronary artery bypass grafting

    J.D. Puskas;W.H. Williams;P.G. Duke;J.R. Staples

  • Bivariate meta-analysis of sensitivity and specificity with sparse data: a generalized linear mixed model approach.

    Haitao Chu;Stephen R. Cole

  • Optimally estimating the sample standard deviation from the five-number summary.

    Jiandong Shi;Dehui Luo;Hong Weng;Xian Tao Zeng

  • Basic Concepts and Methods for Joint Models of Longitudinal and Survival Data

    Joseph G. Ibrahim;Haitao Chu;Liddy M. Chen

  • Empirical Comparison of Publication Bias Tests in Meta-Analysis

    Lifeng Lin;Haitao Chu;Mohammad Hassan Murad;Chuan Hong

  • Parametric survival analysis and taxonomy of hazard functions for the generalized gamma distribution

    Christopher Cox;Haitao Chu;Michael F. Schneider;Alvaro Muñoz

  • Multiple-imputation for measurement-error correction

    Stephen R Cole;Haitao Chu;Sander Greenland

  • Meta-analysis of Proportions Using Generalized Linear Mixed Models.

    Lifeng Lin;Haitao Chu

  • When continuous outcomes are measured using different scales: guide for meta-analysis and interpretation

    Mohammad Hassan Murad;Zhen Wang;Haitao Chu;Lifeng Lin

  • Maximum Likelihood, Profile Likelihood, and Penalized Likelihood: A Primer

    Stephen R. Cole;Haitao Chu;Sander Greenland

  • Missing Data in Clinical Studies: Issues and Methods

    Joseph G. Ibrahim;Haitao Chu;Ming Hui Chen

  • The effect of publication bias magnitude and direction on the certainty in evidence.

    Mohammad Hassan Murad;Haitao Chu;Lifeng Lin;Zhen Wang

  • Pulmonary Outcomes of Off-Pump vs On-Pump Coronary Artery Bypass Surgery in a Randomized Trial

    Gerald W Staton;Willis H Williams;Elizabeth M Mahoney;Jeff Hu

  • Performing Arm-Based Network Meta-Analysis in R with the pcnetmeta Package.

    Lifeng Lin;Jing Zhang;James S Hodges;Haitao Chu

  • A Bayesian missing data framework for generalized multiple outcome mixed treatment comparisons

    Hwanhee Hong;Haitao Chu;Jing Zhang;Bradley P. Carlin

  • Estimating the odds ratio when exposure has a limit of detection

    Stephen R Cole;Haitao Chu;Lei Nie;Enrique F Schisterman

  • Alternative measures of between-study heterogeneity in meta-analysis: Reducing the impact of outlying studies.

    Lifeng Lin;Haitao Chu;James S. Hodges

  • A statistical framework for Illumina DNA methylation arrays

    Pei Fen Kuan;Sijian Wang;Xin Zhou;Haitao Chu

  • Network Meta-analysis of Randomized Clinical Trials: Reporting the Proper Summaries

    Jing Zhang;Bradley P. Carlin;James D. Neaton;Guoxing Greg Soon

Frequent Co-Authors

Stephen R. Cole
Stephen R. Cole University of North Carolina at Chapel Hill
Joseph G. Ibrahim
Joseph G. Ibrahim University of North Carolina at Chapel Hill
Bradley P. Carlin
Bradley P. Carlin University of Minnesota
M. Elizabeth Halloran
M. Elizabeth Halloran Fred Hutchinson Cancer Research Center
Sander Greenland
Sander Greenland University of California, Los Angeles
Stephen J. Gange
Stephen J. Gange Johns Hopkins University
Alvaro Alonso
Alvaro Alonso Emory University
Donald R. Hoover
Donald R. Hoover Rutgers, The State University of New Jersey
Alvaro Muñoz
Alvaro Muñoz Johns Hopkins University
Bette T. Korber
Bette T. Korber Los Alamos National Laboratory

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