Bhramar Mukherjee

Bhramar Mukherjee

University of Michigan

H-index: 70

North America-United States

About Bhramar Mukherjee

Bhramar Mukherjee, With an exceptional h-index of 70 and a recent h-index of 55 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of Biostatistics, Cancer, Genetics, Statistics, Environmental Health.

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

Abstract B047: Development and validation of an improved risk stratification model for ovarian cancer

Mortality and severe complications among newly graduated surgeons in the United States

Reporting of Fairness Metrics in Clinical Risk Prediction Models: A Call for Change

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

Environmental risk scores of persistent organic pollutants associate with higher ALS risk and shorter survival in a new Michigan case/control cohort

Doubly robust causal inference through penalized bias-reduced estimation: combining non-probability samples with designed surveys

Mental Health Trends in India from 2020 to 2022: Association with Financial Stress, Food Insecurity, and COVID-19-related Illness Concerns

Cross-Sectional Associations between Prenatal Per-and Poly-Fluoroalkyl Substances and Bioactive Lipids in Three Environmental Influences on Child Health Outcomes (ECHO) Cohorts

Bhramar Mukherjee Information

University

Position

Professor of Biostatistics

Citations(all)

17296

Citations(since 2020)

11459

Cited By

10337

hIndex(all)

70

hIndex(since 2020)

55

i10Index(all)

273

i10Index(since 2020)

218

Email

University Profile Page

University of Michigan

Google Scholar

View Google Scholar Profile

Bhramar Mukherjee Skills & Research Interests

Biostatistics

Cancer

Genetics

Statistics

Environmental Health

Top articles of Bhramar Mukherjee

Title

Journal

Author(s)

Publication Date

Abstract B047: Development and validation of an improved risk stratification model for ovarian cancer

Cancer Research

Minh Tung Phung

Alice W Lee

Karen McLean

Lilah Khoja

Hoda Anton-Culver

...

2024/3/4

Mortality and severe complications among newly graduated surgeons in the United States

Annals of Surgery

Ryan A Howard

Angela E Thelen

Xilin Chen

Rebecca Gates

Andrew E Krumm

...

2023/10/13

Reporting of Fairness Metrics in Clinical Risk Prediction Models: A Call for Change

medRxiv

Lillian I Rountree

Yi-Ting Lin

Chuyu Liu

Maxwell Salvatore

Andrew Admon

...

2024

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

arXiv preprint arXiv:2304.04652

Ritoban Kundu

Xu Shi

Jean Morrison

Jessica Barrett

Bhramar Mukherjee

2023/4/10

Environmental risk scores of persistent organic pollutants associate with higher ALS risk and shorter survival in a new Michigan case/control cohort

Journal of Neurology, Neurosurgery & Psychiatry

Stephen A Goutman

Jonathan Boss

Dae-Gyu Jang

Bhramar Mukherjee

Rudy J Richardson

...

2024/3/1

Doubly robust causal inference through penalized bias-reduced estimation: combining non-probability samples with designed surveys

arXiv preprint arXiv:2403.18039

Jiacong Du

Xu Shi

Donglin Zeng

Bhramar Mukherjee

2024/3/26

Mental Health Trends in India from 2020 to 2022: Association with Financial Stress, Food Insecurity, and COVID-19-related Illness Concerns

medRxiv

Youqi Yang

Anqi Sun

Lauren Zimmermann

Bhramar Mukherjee

2024

Cross-Sectional Associations between Prenatal Per-and Poly-Fluoroalkyl Substances and Bioactive Lipids in Three Environmental Influences on Child Health Outcomes (ECHO) Cohorts

Environmental Science & Technology

Himal Suthar

Tomás Manea

Dominic Pak

Megan Woodbury

Stephanie M Eick

...

2024/5/1

Avocational exposure associations with ALS risk, survival, and phenotype: A Michigan-based case-control study

Journal of the Neurological Sciences

Stephen A Goutman

Jonathan Boss

Dae Gyu Jang

Caroline Piecuch

Hasan Farid

...

2024/2/15

Michigan cancer and research on the environment study (MI-CARES) cohort: Baseline methods and participant characteristics

Cancer Research

Lilah Khoja

Maxwell Salvatore

Minh Tung Phung

Isabella De Sa

Heatherlun Uphold

...

2024/3/22

Associations of maternal blood metal concentrations with plasma eicosanoids among pregnant women in Puerto Rico

Science of The Total Environment

Christine Kim

Amber L Cathey

Deborah J Watkins

Bhramar Mukherjee

Zaira Y Rosario-Pabón

...

2024/4/7

Metal mixtures associate with higher amyotrophic lateral sclerosis risk and mortality independent of genetic risk and correlate to self-reported exposures: a case-control study

medRxiv

Dae Gyu Jang

John Dou

Emily J Koubek

Samuel Teener

Lili Zhou

...

2024

Incorporating functional annotation with bilevel continuous shrinkage for polygenic risk prediction

BMC bioinformatics

Yongwen Zhuang

Na Yeon Kim

Lars G Fritsche

Bhramar Mukherjee

Seunggeun Lee

2024/2/9

To weight or not to weight? Studying the effect of selection bias in three EHR-linked biobanks with applications to colorectal cancer

medRxiv

Maxwell Salvatore

Ritoban Kundu

Xu Shi

Christopher R Friese

Seunggeun Lee

...

2024

Are heatwaves more deadly for women?

Yi-Ting Ling

Ronita Bardhan

Ramit Debnath

Bhramar Mukherjee

2024/4/3

A two-step penalization and shrinkage approach for binary response data that is jointly separated and correlated: The effects of social networks on diarrheal disease

medRxiv

Sonia T Hegde

Joseph Eisenberg

Lauren J Beesley

Bhramar Mukherjee

2024/3/18

Residential exposure associations with ALS risk, survival, and phenotype: a Michigan-based case-control study

Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration

Stephen A Goutman

Jonathan Boss

Dae Gyu Jang

Caroline Piecuch

Hasan Farid

...

2024/4/1

In Conversation with Sir David Spiegelhalter and Professor Sylvia Richardson

Statistical Science

Bhramar Mukherjee

2024/2

Integrating information from existing risk prediction models with no model details

Canadian Journal of Statistics

Peisong Han

Jeremy MG Taylor

Bhramar Mukherjee

2023/6

Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanks

PLoS genetics

Lars G Fritsche

Kisung Nam

Jiacong Du

Ritoban Kundu

Maxwell Salvatore

...

2023/12/19

See List of Professors in Bhramar Mukherjee University(University of Michigan)