Bhramar Mukherjee

United States

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Articles (20)

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2025

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2022

Collaborators (17)

Fan Bu

Assistant Professor

University of Michigan School of Public Health

UNITED STATES

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Tian Gu

Columbia University

UNITED STATES

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Stephen Goutman

Associate Professor

University of Michigan

UNITED STATES

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Jian Kang

University of Michigan

UNITED STATES

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Lars Fritsche

Adjunct Lecturer

University of Michigan–Ann Arbor

UNITED STATES

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John Randolph

University of Michigan

UNITED STATES

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Dr Ramit Debnath

Assistant Professor

University of Cambridge

UNITED KINGDOM

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Karandeep Singh

Assistant Professor

University of Michigan

UNITED STATES

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Sung Kyun Park

University of Michigan

UNITED STATES

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Alla Karnovsky

University of Michigan Medical School

UNITED STATES

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Marcella Nunez-Smith

Yale University

UNITED STATES

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Xu Shi

University of Michigan

UNITED STATES

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Christopher Friese

Professor

University of Michigan School of Nursing

UNITED STATES

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Jyotishka Datta

Assistant Professor

Virginia Tech

UNITED STATES

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Lillian Rountree

University of Michigan–Ann Arbor

UNITED STATES

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Kelly Bakulski

Assistant Professor

University of Michigan

UNITED STATES

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Eva L. Feldman

UNITED STATES

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Bhramar Mukherjee

Research Interests

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Articles (20)

Global Prevalence of Long COVID, Its Subtypes, and Risk Factors: An Updated Systematic Review and Meta-analysis

Impacts of sample weighting on transferability of risk prediction models across EHR-Linked biobanks with different recruitment strategies

The Role of Data in Public Health and Health Innovation: Perspectives on Social Determinants of Health, Community-Based Data Approaches and Artificial Intelligence (Preprint)

Statistical methods for chemical mixtures: a roadmap for practitioners using simulation studies and a sample data analysis in the PROTECT cohort

Reporting of Fairness Metrics in Clinical Risk Prediction Models Used for Precision Health: Scoping Review

Improving prediction of linear regression models by integrating external information from heterogeneous populations: James–Stein estimators

Improving prediction models of amyotrophic lateral sclerosis (ALS) using polygenic, pre-existing conditions, and survey-based risk scores in the UK Biobank

Mediation with External Summary Statistic Information

A framework for understanding selection bias in real-world healthcare data

Text Messages to Promote Physical Activity in Patients With Cardiovascular Disease: A Micro-Randomized Trial of a Just-In-Time Adaptive Intervention

Phthalates and Incident Diabetes in Midlife Women: The Study of Women's Health Across the Nation (SWAN)

Associations Between Repeated Measures of Urinary Phthalate Metabolites With Hormones and Timing of Natural Menopause

Factor in gender to beat the heat in impoverished settlements

COVID-19 Outcomes by Cancer Status, Site, Treatment, and Vaccination

Body mass index associates with amyotrophic lateral sclerosis survival and metabolomic profiles

An inverse probability weighted regression method that accounts for right‐censoring for causal inference with multiple treatments and a binary outcome

Extending the susceptible‐exposed‐infected‐removed (SEIR) model to handle the false negative rate and symptom‐based administration of COVID‐19 diagnostic tests: SEIR‐fansy

Case studies in bias reduction and inference for electronic health record data with selection bias and phenotype misclassification

Global Prevalence of Post-Coronavirus Disease 2019 (COVID-19) Condition or Long COVID: A Meta-Analysis and Systematic Review

Optimal diagnostic test allocation strategy during the COVID‐19 pandemic and beyond

Collaborators (17)

Fan Bu

Tian Gu

Stephen Goutman

Jian Kang

Lars Fritsche

John Randolph

Dr Ramit Debnath

Karandeep Singh

Sung Kyun Park

Alla Karnovsky

Marcella Nunez-Smith

Xu Shi

Christopher Friese

Jyotishka Datta

Lillian Rountree

Kelly Bakulski

Eva L. Feldman

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