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Elissa B Dodd-Eaton

Showing results (1-10 of 10) with videos related to

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Biorxiv : the Preprint Server for Biology|March 13, 2023
Personalized Risk Prediction for Cancer Survivors: A Bayesian Semi-parametric Recurrent Event Model with Competing OutcomesNam H Nguyen, Seung Jun Shin, Elissa B Dodd-Eaton, et al.
JCO Clinical Cancer Informatics|February 12, 2024
LFSPROShiny: An Interactive R/Shiny App for Prediction and Visualization of Cancer Risks in Families With Deleterious Germline <i>TP53</i> MutationsNam H Nguyen, Elissa B Dodd-Eaton, Gang Peng, et al.
Medrxiv : the Preprint Server for Health Sciences|August 30, 2023
LFSPROShiny: an interactive R/Shiny app for prediction and visualization of cancer risks in families with deleterious germline <i>TP53</i> mutationsNam H Nguyen, Elissa B Dodd-Eaton, Gang Peng, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology|April 3, 2024
Validating Risk Prediction Models for Multiple Primaries and Competing Cancer Outcomes in Families With Li-Fraumeni Syndrome Using Clinically Ascertained DataNam H Nguyen, Elissa B Dodd-Eaton, Jessica L Corredor, et al.
Cancer Research|November 14, 2019
Penetrance Estimates Over Time to First and Second Primary Cancer Diagnosis in Families with Li-Fraumeni Syndrome: A Single Institution PerspectiveSeung Jun Shin, Elissa B Dodd-Eaton, Fan Gao, et al.
Medrxiv : the Preprint Server for Health Sciences|July 23, 2024
Performance of LFSPRO <i>TP53</i> germline carrier risk predictions compared to standard genetic counseling practice on prospectively collected probandsJessica L Corredor, Elissa B Dodd-Eaton, Jacynda Woodman-Ross, et al.
Medrxiv : the Preprint Server for Health Sciences|September 11, 2023
Validating risk prediction models for multiple primaries and competing cancer outcomes in families with Li-Fraumeni syndrome using clinically ascertained data at a single instituteNam H Nguyen, Elissa B Dodd-Eaton, Jessica L Corredor, et al.
American Journal of Human Genetics|April 16, 2026
Performance of LFSPRO prediction in TP53 mutation status for prospectively collected probandsJessica L Corredor, Ruonan Li, Elissa B Dodd-Eaton, et al.
Genome Research|August 21, 2020
A pedigree-based prediction model identifies carriers of deleterious de novo mutations in families with Li-Fraumeni syndromeFan Gao, Xuedong Pan, Elissa B Dodd-Eaton, et al.
Cancer Research|November 14, 2019
Penetrance of Different Cancer Types in Families with Li-Fraumeni Syndrome: A Validation Study Using Multicenter CohortsSeung Jun Shin, Elissa B Dodd-Eaton, Gang Peng, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Biorxiv : the Preprint Server for Biology|March 13, 2023
Personalized Risk Prediction for Cancer Survivors: A Bayesian Semi-parametric Recurrent Event Model with Competing OutcomesNam H Nguyen, Seung Jun Shin, Elissa B Dodd-Eaton, et al.
JCO Clinical Cancer Informatics|February 12, 2024
LFSPROShiny: An Interactive R/Shiny App for Prediction and Visualization of Cancer Risks in Families With Deleterious Germline <i>TP53</i> MutationsNam H Nguyen, Elissa B Dodd-Eaton, Gang Peng, et al.
Medrxiv : the Preprint Server for Health Sciences|August 30, 2023
LFSPROShiny: an interactive R/Shiny app for prediction and visualization of cancer risks in families with deleterious germline <i>TP53</i> mutationsNam H Nguyen, Elissa B Dodd-Eaton, Gang Peng, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology|April 3, 2024
Validating Risk Prediction Models for Multiple Primaries and Competing Cancer Outcomes in Families With Li-Fraumeni Syndrome Using Clinically Ascertained DataNam H Nguyen, Elissa B Dodd-Eaton, Jessica L Corredor, et al.
Cancer Research|November 14, 2019
Penetrance Estimates Over Time to First and Second Primary Cancer Diagnosis in Families with Li-Fraumeni Syndrome: A Single Institution PerspectiveSeung Jun Shin, Elissa B Dodd-Eaton, Fan Gao, et al.
Medrxiv : the Preprint Server for Health Sciences|July 23, 2024
Performance of LFSPRO <i>TP53</i> germline carrier risk predictions compared to standard genetic counseling practice on prospectively collected probandsJessica L Corredor, Elissa B Dodd-Eaton, Jacynda Woodman-Ross, et al.
Medrxiv : the Preprint Server for Health Sciences|September 11, 2023
Validating risk prediction models for multiple primaries and competing cancer outcomes in families with Li-Fraumeni syndrome using clinically ascertained data at a single instituteNam H Nguyen, Elissa B Dodd-Eaton, Jessica L Corredor, et al.
American Journal of Human Genetics|April 16, 2026
Performance of LFSPRO prediction in TP53 mutation status for prospectively collected probandsJessica L Corredor, Ruonan Li, Elissa B Dodd-Eaton, et al.
Genome Research|August 21, 2020
A pedigree-based prediction model identifies carriers of deleterious de novo mutations in families with Li-Fraumeni syndromeFan Gao, Xuedong Pan, Elissa B Dodd-Eaton, et al.
Cancer Research|November 14, 2019
Penetrance of Different Cancer Types in Families with Li-Fraumeni Syndrome: A Validation Study Using Multicenter CohortsSeung Jun Shin, Elissa B Dodd-Eaton, Gang Peng, et al.
Pageof 1