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Rodney A Sparapani

Showing results (1-10 of 22) with videos related to

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Statistics in Medicine|February 9, 2016
Nonparametric survival analysis using Bayesian Additive Regression Trees (BART)Rodney A Sparapani, Brent R Logan, Robert E McCulloch, et al.
JAMA Surgery|December 27, 2013
Surgeon specialization and use of sentinel lymph node biopsy for breast cancerTina W F Yen, Purushuttom W Laud, Rodney A Sparapani, et al.
Health Services Research|November 10, 2004
An algorithm for the use of Medicare claims data to identify women with incident breast cancerAnn B Nattinger, Purushottam W Laud, Ruta Bajorunaite, et al.
Journal of the American Geriatrics Society|March 23, 2006
Bone density testing in older women and its association with patient ageJoan M Neuner, Neil Binkley, Rodney A Sparapani, et al.
Journal of Cancer Survivorship : Research and Practice|September 5, 2014
An algorithm to identify the development of lymphedema after breast cancer treatmentTina W F Yen, Purushuttom W Laud, Rodney A Sparapani, et al.
Medicine|August 7, 2016
The interplay between hospital and surgeon factors and the use of sentinel lymph node biopsy for breast cancerTina W F Yen, Jianing Li, Rodney A Sparapani, et al.
Biostatistics (Oxford, England)|July 31, 2018
Non-parametric recurrent events analysis with BART and an application to the hospital admissions of patients with diabetesRodney A Sparapani, Lisa E Rein, Sergey S Tarima, et al.
Archives of Internal Medicine|February 14, 2007
Disparities in colon cancer screening in the Medicare populationAshwin N Ananthakrishnan, Kenneth G Schellhase, Rodney A Sparapani, et al.
Biometrics|March 18, 2023
Nonparametric failure time: Time-to-event machine learning with heteroskedastic Bayesian additive regression trees and low information omnibus Dirichlet process mixturesRodney A Sparapani, Brent R Logan, Martin J Maiers, et al.
Journal of Pediatric Gastroenterology and Nutrition|June 1, 2022
Novel Pediatric Height Outlier Detection Methodology for Electronic Health Records via Machine Learning With Monotonic Bayesian Additive Regression TreesRodney A Sparapani, Bi Q Teng, Julia Hilbrands, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Statistics in Medicine|February 9, 2016
Nonparametric survival analysis using Bayesian Additive Regression Trees (BART)Rodney A Sparapani, Brent R Logan, Robert E McCulloch, et al.
JAMA Surgery|December 27, 2013
Surgeon specialization and use of sentinel lymph node biopsy for breast cancerTina W F Yen, Purushuttom W Laud, Rodney A Sparapani, et al.
Health Services Research|November 10, 2004
An algorithm for the use of Medicare claims data to identify women with incident breast cancerAnn B Nattinger, Purushottam W Laud, Ruta Bajorunaite, et al.
Journal of the American Geriatrics Society|March 23, 2006
Bone density testing in older women and its association with patient ageJoan M Neuner, Neil Binkley, Rodney A Sparapani, et al.
Journal of Cancer Survivorship : Research and Practice|September 5, 2014
An algorithm to identify the development of lymphedema after breast cancer treatmentTina W F Yen, Purushuttom W Laud, Rodney A Sparapani, et al.
Medicine|August 7, 2016
The interplay between hospital and surgeon factors and the use of sentinel lymph node biopsy for breast cancerTina W F Yen, Jianing Li, Rodney A Sparapani, et al.
Biostatistics (Oxford, England)|July 31, 2018
Non-parametric recurrent events analysis with BART and an application to the hospital admissions of patients with diabetesRodney A Sparapani, Lisa E Rein, Sergey S Tarima, et al.
Archives of Internal Medicine|February 14, 2007
Disparities in colon cancer screening in the Medicare populationAshwin N Ananthakrishnan, Kenneth G Schellhase, Rodney A Sparapani, et al.
Biometrics|March 18, 2023
Nonparametric failure time: Time-to-event machine learning with heteroskedastic Bayesian additive regression trees and low information omnibus Dirichlet process mixturesRodney A Sparapani, Brent R Logan, Martin J Maiers, et al.
Journal of Pediatric Gastroenterology and Nutrition|June 1, 2022
Novel Pediatric Height Outlier Detection Methodology for Electronic Health Records via Machine Learning With Monotonic Bayesian Additive Regression TreesRodney A Sparapani, Bi Q Teng, Julia Hilbrands, et al.
Pageof 3