Giovanni Parmigiani

Giovanni Parmigiani

Harvard University

H-index: 91

North America-United States

About Giovanni Parmigiani

Giovanni Parmigiani, With an exceptional h-index of 91 and a recent h-index of 58 (since 2020), a distinguished researcher at Harvard University, specializes in the field of Applied Statistics, Bayesian Statistics, Cancer Prevention, Cancer Genetics/Genomics.

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

The Pancreatic Cancer Early Detection (PRECEDE) Study is a Global Effort to Drive Early Detection: Baseline Imaging Findings in High-Risk Individuals

Adjusting for Ascertainment Bias in Meta-Analysis of Penetrance for Cancer Risk

Optimal ensemble construction for multistudy prediction with applications to mortality estimation

Gridsemble: Selective Ensembling for False Discovery Rates

Pancreatic imaging findings from the PRECEDE study: A large high-risk heritable cohort for pancreatic cancer.

Cross-study replicability in cluster analysis

Defining Replicability of Prediction Rules

MyLynch: A Patient-Facing Clinical Decision Support Tool for Genetically-Guided Personalized Medicine in Lynch Syndrome

Giovanni Parmigiani Information

University

Position

Professor Department of Data Science, DFCI

Citations(all)

56570

Citations(since 2020)

17165

Cited By

47722

hIndex(all)

91

hIndex(since 2020)

58

i10Index(all)

265

i10Index(since 2020)

177

Email

University Profile Page

Harvard University

Google Scholar

View Google Scholar Profile

Giovanni Parmigiani Skills & Research Interests

Applied Statistics

Bayesian Statistics

Cancer Prevention

Cancer Genetics/Genomics

Top articles of Giovanni Parmigiani

Title

Journal

Author(s)

Publication Date

The Pancreatic Cancer Early Detection (PRECEDE) Study is a Global Effort to Drive Early Detection: Baseline Imaging Findings in High-Risk Individuals

Journal of the National Comprehensive Cancer Network

George Zogopoulos

Ido Haimi

Shenin A Sanoba

Jessica N Everett

Yifan Wang

...

2024/4/6

Adjusting for Ascertainment Bias in Meta-Analysis of Penetrance for Cancer Risk

arXiv preprint arXiv:2402.15030

Thanthirige Lakshika M Ruberu

Danielle Braun

Giovanni Parmigiani

Swati Biswas

2024/2/23

Optimal ensemble construction for multistudy prediction with applications to mortality estimation

Statistics in Medicine

Gabriel Loewinger

Rolando Acosta Nunez

Rahul Mazumder

Giovanni Parmigiani

2024/2/23

Gridsemble: Selective Ensembling for False Discovery Rates

arXiv preprint arXiv:2401.12865

Jenna M Landy

Giovanni Parmigiani

2024/1/23

Pancreatic imaging findings from the PRECEDE study: A large high-risk heritable cohort for pancreatic cancer.

Ido Haimi

George Zogopoulos

Shenin A Dettwyler

Jessica N Everett

Yan Bi

...

2023/2/1

Cross-study replicability in cluster analysis

Statistical science: a review journal of the Institute of Mathematical Statistics

Lorenzo Masoero

Emma Thomas

Giovanni Parmigiani

Svitlana Tyekucheva

Lorenzo Trippa

2023/5

Defining Replicability of Prediction Rules

Statistical Science

Giovanni Parmigiani

2023/11

MyLynch: A Patient-Facing Clinical Decision Support Tool for Genetically-Guided Personalized Medicine in Lynch Syndrome

Cancers

Stephen T Knapp

Anna Revette

Meghan Underhill-Blazey

Jill E Stopfer

Chinedu I Ukaegbu

...

2023/1

High-dose melphalan treatment significantly increases mutational burden at relapse in multiple myeloma

Blood

Mehmet Kemal Samur

Marco Roncador

Anil Aktas Samur

Mariateresa Fulciniti

Abdul Hamid Bazarbachi

...

2023/4/6

Bayesian combinatorial MultiStudy factor analysis

The annals of applied statistics

Isabella N Grabski

Roberta De Vito

Lorenzo Trippa

Giovanni Parmigiani

2023/9

Bayesian Multi-Study Non-Negative Matrix Factorization for Mutational Signatures

bioRxiv

Isabella N Grabski

Lorenzo Trippa

Giovanni Parmigiani

2023

Bayesian meta-analysis of penetrance for cancer risk

arXiv preprint arXiv:2304.01912

Thanthirige Lakshika M Ruberu

Danielle Braun

Giovanni Parmigiani

Swati Biswas

2023/4/4

Clinical implications of conflicting variant interpretations in the cancer genetics clinic

Genetics in Medicine

Elyssa Zukin

Julie O Culver

Yuxi Liu

Yunqi Yang

Charité N Ricker

...

2023/7/1

Variant-specific Mendelian Risk Prediction Model

bioRxiv

Eunchan Bae

Julie-Alexia Dias

Theodore Huang

Jinbo Chen

Giovanni Parmigiani

...

2023

Meta-Analysis of Breast Cancer Risk for Individuals with PALB2 Pathogenic Variants

medRxiv

Thanthirige Lakshika M Ruberu

Danielle Braun

Giovanni Parmigiani

Swati Biswas

2023/6/4

Combining breast cancer risk prediction models

Cancers

Zoe Guan

Theodore Huang

Anne Marie McCarthy

Kevin Hughes

Alan Semine

...

2023/1

Multi-study R-learner for Heterogeneous Treatment Effect Estimation

arXiv preprint arXiv:2306.01086

Cathy Shyr

Boyu Ren

Prasad Patil

Giovanni Parmigiani

2023/6/1

Multi-source domain adaptation for regression

arXiv preprint arXiv:2312.05460

Yujie Wu

Giovanni Parmigiani

Boyu Ren

2023/12/9

OAB-017: Mutations accumulated before and after hyperdiploidy reveal timing and impact of chromosomal gains on multiple myeloma

Clinical Lymphoma Myeloma and Leukemia

Thomas Smits

Anil Aktas Samur

Romain Lannes

Mariateresa Fulciniti

Masood Shammas

...

2022/8/1

Hierarchical resampling for bagging in multistudy prediction with applications to human neurochemical sensing

The annals of applied statistics

Gabriel Loewinger

Prasad Patil

Kenneth T Kishida

Giovanni Parmigiani

2022/12

See List of Professors in Giovanni Parmigiani University(Harvard University)

Co-Authors

H-index: 289
Bert Vogelstein

Bert Vogelstein

Johns Hopkins University

H-index: 248
Kenneth Kinzler

Kenneth Kinzler

Johns Hopkins University

H-index: 228
Ralph Hruban

Ralph Hruban

Johns Hopkins University

H-index: 128
Curtis Huttenhower

Curtis Huttenhower

Harvard University

H-index: 126
Victor Velculescu

Victor Velculescu

Johns Hopkins University

H-index: 112
C. Jimmy Lin

C. Jimmy Lin

Johns Hopkins University

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