Rounak Dey

Rounak Dey

Harvard University

H-index: 11

North America-United States

About Rounak Dey

Rounak Dey, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Harvard University, specializes in the field of Statistical Genetics, Biostatistics.

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

Pitfalls in performing genome-wide association studies on ratio traits

Powerful, scalable and resource-efficient meta-analysis of rare variant associations in large whole genome sequencing studies

A framework for detecting noncoding rare-variant associations of large-scale whole-genome sequencing studies

PC Adjusted Testing for Low Dimensional Parameters

Efficient and accurate frailty model approach for genome-wide survival association analysis in large-scale biobanks

COVID-19 Spread Mapper: a multi-resolution, unified framework and open-source tool

Group testing via hypergraph factorization applied to COVID-19

Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data

Rounak Dey Information

University

Position

Department of Biostatistics

Citations(all)

2003

Citations(since 2020)

1942

Cited By

623

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Rounak Dey Skills & Research Interests

Statistical Genetics

Biostatistics

Top articles of Rounak Dey

Pitfalls in performing genome-wide association studies on ratio traits

bioRxiv

2023

PC Adjusted Testing for Low Dimensional Parameters

arXiv preprint arXiv:2209.10774

2022/9/22

Rounak Dey
Rounak Dey

H-Index: 6

Rajarshi Mukherjee
Rajarshi Mukherjee

H-Index: 9

Efficient and accurate frailty model approach for genome-wide survival association analysis in large-scale biobanks

Nature Communications

2022/9/16

COVID-19 Spread Mapper: a multi-resolution, unified framework and open-source tool

Bioinformatics

2022/5/1

Group testing via hypergraph factorization applied to COVID-19

Nature Communications

2022/4/5

Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data

Journal of the American Statistical Association

2021/10/2

Rejoinder: Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data

Journal of the American Statistical Association

2021/10/2

Efficient mixed model approach for large-scale genome-wide association studies of ordinal categorical phenotypes

The American Journal of Human Genetics

2021/5/6

Fast and robust ancestry prediction using principal component analysis

Bioinformatics

2020/6

Rounak Dey
Rounak Dey

H-Index: 6

Seunggeun Lee
Seunggeun Lee

H-Index: 8

A versatile toolkit for molecular QTL mapping and meta-analysis at scale

Biorxiv

2020/12/21

See List of Professors in Rounak Dey University(Harvard University)

Co-Authors

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