D. Braun

发表

Simpson's paradox in the integrated discrimination improvement

J Chipman, D Braun, J. Chipman, 2017, Statistics in medicine.

Breast cancer risk models: a comprehensive overview of existing models, validation, and clinical applications

Danielle Braun, Molly Griffin, Emanuele Mazzola, 2017, Breast Cancer Research and Treatment.

Legacy Genetic Testing Results for Cancer Susceptibility: How Common are Conflicting Classifications in a Large Variant Dataset from Multiple Practices?

Richard H. Kanak, David P. Ondrula, G. Parmigiani, 2020, Annals of Surgical Oncology.

Authors' response to comments

Danielle Braun, Michael J Pencina, Jonathan Chipman, 2017, Statistics in medicine.

Disease Spectrum of Breast Cancer Susceptibility Genes

K. Hughes, K. Yin, Menghua Wu, 2020, Frontiers in Oncology.

Pathologic findings in reduction mammoplasty specimens: a surrogate for the population prevalence of breast cancer and high-risk lesions

Barbara L. Smith, R. Barzilay, Adam Yala, 2018, Breast Cancer Research and Treatment.

A likelihood‐based approach to assessing frequency of pathogenicity among variants of unknown significance in susceptibility genes

Jane W. Liang, G. Parmigiani, S. Gruber, 2020, Statistics in medicine.

Variation in cancer risk among families with genetic susceptibility

G. Parmigiani, H. Lynch, D. Braun, 2020, Genetic epidemiology.

Clinical Factors Associated With Gastric Cancer in Individuals with Lynch Syndrome.

G. Parmigiani, S. Syngal, F. Kastrinos, 2020, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.

Search Behavior Regarding Cancer Susceptibility Genes Using a Clinical Decision Support Tool for Gene-Specific Penetrance: Content Analysis

Jingan Zhou, Preeti Singh, Jin Wang, 2021, JMIR cancer.

Disease spectrum of gastric cancer susceptibility genes

K. Hughes, Menghua Wu, Jingan Zhou, 2021, Medical Oncology.

Challenges in the Use of Administrative Data for Heart Failure Services Research.

S. Normand, M. Horvitz-Lennon, D. Braun, 2016, Journal of cardiac failure.

A validation of models for prediction of pathogenic variants in mismatch repair genes.

Aung Ko Win, G. Parmigiani, H. Uno, 2022, Genetics in medicine : official journal of the American College of Medical Genetics.

A Clinical Decision Support Tool to Predict Cancer Risk for Commonly Tested Cancer-Related Germline Mutations

Danielle Braun, Giovanni Parmigiani, Molly Griffin, 2018, Journal of Genetic Counseling.

Evaluation of Lynch syndrome risk models in a multicenter diverse population.

G. Parmigiani, S. Gruber, G. Idos, 2022, Journal of Clinical Oncology.

Extending models via gradient boosting: An application to Mendelian models

Theodore Huang, Danielle Braun, Giovanni Parmigiani, 2021, The Annals of Applied Statistics.

A pedigree-based prediction model identifies carriers of deleterious de novo mutations in families with Li-Fraumeni syndrome

V. Johnson, L. Strong, J. Garber, 2020, bioRxiv.

Penetrance of male breast cancer susceptibility genes: a systematic review

K. Hughes, M. Robson, Jingan Zhou, 2021, Breast Cancer Research and Treatment.

Prediction of Hereditary Cancers Using Neural Networks pdf

Zoe Guan, Lorenzo Trippa, Danielle Braun, 2021, The annals of applied statistics.

Combining Breast Cancer Risk Prediction Models

Zoe Guan, Theodore Huang, Anne Marie McCarthy, 2020, Cancers.

Statistical methods for Mendelian models with multiple genes and cancers

Jane W. Liang, G. Parmigiani, S. Gruber, 2021, Genetic epidemiology.

Multi-syndrome, multi-gene risk modeling for individuals with a family history of cancer with the novel R package PanelPRO

Jane W. Liang, C. Choirat, D. Braun, 2021, eLife.

Practical implementation of frailty models in Mendelian risk prediction.

Theodore Huang, Danielle Braun, Malka Gorfine, 2020, Genetic epidemiology.

Penetrance of Colorectal Cancer Among Mismatch Repair Gene Mutation Carriers: A Meta-Analysis

G. Parmigiani, K. Hughes, D. Braun, 2020, JNCI cancer spectrum.

Variant-specific Mendelian Risk Prediction Model

G. Parmigiani, Jinbo Chen, T. Rebbeck, 2023, bioRxiv.

Penetrance of Breast and Ovarian Cancer in Women Who Carry a BRCA1/2 Mutation and Do Not Use Risk-Reducing Salpingo-Oophorectomy: An Updated Meta-Analysis

Danielle Braun, Giovanni Parmigiani, Jinbo Chen, 2020, JNCI cancer spectrum.

Efficient computation of the joint probability of multiple inherited risk alleles from pedigree data

Lorenzo Trippa, Danielle Braun, Giovanni Parmigiani, 2018, Genetic epidemiology.

Extending Mendelian Risk Prediction Models to Handle Misreported Family History

Danielle Braun, Malka Gorfine, Giovanni Parmigiani, 2014 .

Familial pancreatic cancer: who should be considered for genetic testing?

A. Klein, Molly Griffin, K. Hughes, 2021, Irish Journal of Medical Science (1971 -).

Statistical approaches for meta‐analysis of genetic mutation prevalence

Giovanni Parmigiani, Danielle Braun, Margaux L A Hujoel, 2020, Genetic epidemiology.

Performance of breast cancer risk assessment models in a large mammography cohort.

Zoe Guan, Anne Marie McCarthy, Danielle Braun, 2019, Journal of the National Cancer Institute.

Validation of Breast Cancer Risk Models by Race/Ethnicity, Family History and Molecular Subtypes

G. Parmigiani, Jinbo Chen, E. Conant, 2021, Cancers.

SNIP: An Adaptation of Sorted Neighborhood Methods for Deduplicating Pedigree Data

Theodore Huang, Danielle Braun, Matthew Ploenzke, 2021, 2108.08773.

Bayesian Meta-Analysis of Penetrance for Cancer Risk

G. Parmigiani, S. Biswas, D. Braun, 2023, 2304.01912.

Validation of a Semiautomated Natural Language Processing-Based Procedure for Meta-Analysis of Cancer Susceptibility Gene Penetrance.

Regina Barzilay, Danielle Braun, Giovanni Parmigiani, 2019, JCO clinical cancer informatics.

Non-medullary Thyroid Cancer Susceptibility Genes: Evidence and Disease Spectrum

K. Hughes, C. Lubitz, Menghua Wu, 2021, Annals of Surgical Oncology.

Nonparametric Adjustment for Measurement Error in Time-to-Event Data: Application to Risk Prediction Models

Danielle Braun, Malka Gorfine, Giovanni Parmigiani, 2018, Journal of the American Statistical Association.

Statistical Methods to Adjust for Measurement Error in Risk Prediction Models and Observational Studies

Danielle Braun, D. Braun, 2014 .

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

G. Parmigiani, T. Bickmore, J. Stopfer, 2023, Cancers.

Propensity scores with misclassified treatment assignment: a likelihood‐based adjustment

Danielle Braun, Malka Gorfine, Giovanni Parmigiani, 2017, Biostatistics.

Cancer risk and overall survival in APC I1307K carriers.

S. Gruber, G. Rennert, L. Tomsho, 2020 .

Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes

Yan Wang, Regina Barzilay, Kevin S. Hughes, 2019, JCO clinical cancer informatics.

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

G. Parmigiani, S. Biswas, D. Braun, 2023, medRxiv.

Bayesian Meta-Analysis of Penetrance for Cancer Risk

G. Parmigiani, S. Biswas, D. Braun, 2023, 2304.01912.

A Cautionary Note on the Effect of Treatment Misclassification on the Average Treatment Effect

Corwin M Zigler, F. Dominici, M. Gorfine, 2016 .

Misreported family histories and underestimation of risk.

Danielle Braun, Malka Gorfine, Giovanni Parmigiani, 2014, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.