Danielle Braun

发表

Combining Breast Cancer Risk Prediction Models

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

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

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.

Adjustment for Mismeasured Exposure using Validation Data and Propensity Scores

Danielle Braun, Malka Gorfine, Giovanni Parmigiani, 2014 .

Using Validation Data to Adjust the Inverse Probability Weighting Estimator for Misclassified Treatment

Danielle Braun, Malka Gorfine, Francesca Dominici, 2016 .

Airpred: A Flexible R Package Implementing Methods for Predicting Air Pollution

Qian Di, Danielle Braun, Christine Choirat, 2018, 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA).

Matching on Generalized Propensity Scores with Continuous Exposures

Danielle Braun, Fabrizia Mealli, Francesca Dominici, 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 .

Practical implementation of frailty models in Mendelian risk prediction.

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

Data Science in Environmental Health Research

Danielle Braun, Christine Choirat, Marianthi-Anna Kioumourtzoglou, 2019, Current Epidemiology Reports.

Ask2Me VarHarmonizer: A Python-Based Tool to Harmonize Variants from Cancer Genetic Testing Reports and Map them to the ClinVar Database

Kevin S. Hughes, Danielle Braun, Giovanni Parmigiani, 2019 .

PanelPRO: A R package for multi-syndrome, multi-gene risk modeling for individuals with a family history of cancer

Theodore Huang, Giovanni Parmigiani, Danielle Braun, 2020 .

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

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

Abstract SY32-01: Knowledge management and decision support for commonly tested susceptibility mutations

Kevin S. Hughes, Danielle Braun, Giovanni Parmigiani, 2018 .

Statistical approaches for meta‐analysis of genetic mutation prevalence

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

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.

Prediction of Hereditary Cancers Using Neural Networks pdf

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

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

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

PanelPRO: a general framework for multi-gene, multi-cancer Mendelian risk prediction models

Danielle Braun, Giovanni Parmigiani, Stephen B. Gruber, 2021 .

Extending models via gradient boosting: An application to Mendelian models

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

Extending Mendelian Risk Prediction Models to Handle Misreported Family History

Danielle Braun, Malka Gorfine, Giovanni Parmigiani, 2014 .

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.

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.

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.

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

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

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.

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.

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.