Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Paul J. Riviere"'
Autor:
Abhishek Kumar, Daniel R. Cherry, Patrick T. Courtney, Vinit Nalawade, Nikhil Kotha, Paul J. Riviere, Jason Efstathiou, Rana R. McKay, A. Karim Kader, Brent S. Rose, Tyler F. Stewart
Publikováno v:
European Urology Open Science, Vol 30, Iss , Pp 1-10 (2021)
Background: Muscle-invasive bladder cancer (MIBC) remains undertreated despite multiple potentially curative options. Both radical cystectomy (RC) with or without neoadjuvant chemotherapy and trimodal therapy (TMT), including transurethral resection
Externí odkaz:
https://doaj.org/article/e6a99f1eefd841029f6673fa9a342d8e
Autor:
Loren K. Mell, Jingjing Zou, Andrew B. Sharabi, Alex K. Bryant, Paul J. Riviere, Kaveh Zakeri, Lucas K. Vitzthum, Caroline A. Thompson, Tyler J. Nelson, Casey W. Williamson
Purpose:Cancer treatments can paradoxically appear to reduce the risk of noncancer mortality in observational studies, due to residual confounding. Here we introduce a method, Bias Reduction through Analysis of Competing Events (BRACE), to reduce bia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30cf92803f0c887b84b3a4da8d998b10
https://doi.org/10.1158/1078-0432.c.6531107.v1
https://doi.org/10.1158/1078-0432.c.6531107.v1
Autor:
Loren K. Mell, Jingjing Zou, Andrew B. Sharabi, Alex K. Bryant, Paul J. Riviere, Kaveh Zakeri, Lucas K. Vitzthum, Caroline A. Thompson, Tyler J. Nelson, Casey W. Williamson
Supplementary Data from Bias Reduction through Analysis of Competing Events (BRACE) Correction to Address Cancer Treatment Selection Bias in Observational Data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf8803f53a5bf00a12a800196985ae0f
https://doi.org/10.1158/1078-0432.22483307.v1
https://doi.org/10.1158/1078-0432.22483307.v1
Autor:
Loren K. Mell, Jingjing Zou, Andrew B. Sharabi, Alex K. Bryant, Paul J. Riviere, Kaveh Zakeri, Lucas K. Vitzthum, Caroline A. Thompson, Tyler J. Nelson, Casey W. Williamson
Supplementary Figure from Bias Reduction through Analysis of Competing Events (BRACE) Correction to Address Cancer Treatment Selection Bias in Observational Data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9aba31644bda0229a7465ea900dc635e
https://doi.org/10.1158/1078-0432.22483304
https://doi.org/10.1158/1078-0432.22483304
Autor:
Loren K. Mell, Jingjing Zou, Andrew B. Sharabi, Alex K. Bryant, Paul J. Riviere, Kaveh Zakeri, Lucas K. Vitzthum, Caroline A. Thompson, Tyler J. Nelson, Casey W. Williamson
Supplementary Table from Bias Reduction through Analysis of Competing Events (BRACE) Correction to Address Cancer Treatment Selection Bias in Observational Data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11dac3fef8c4ae9c397427bf54fb6588
https://doi.org/10.1158/1078-0432.22483301
https://doi.org/10.1158/1078-0432.22483301
Autor:
Casey W. Williamson, Tyler J. Nelson, Caroline A. Thompson, Lucas K. Vitzthum, Kaveh Zakeri, Paul J. Riviere, Alex K. Bryant, Andrew B. Sharabi, Jingjing Zou, Loren K. Mell
Publikováno v:
Clinical cancer research : an official journal of the American Association for Cancer Research. 28(9)
Purpose: Cancer treatments can paradoxically appear to reduce the risk of noncancer mortality in observational studies, due to residual confounding. Here we introduce a method, Bias Reduction through Analysis of Competing Events (BRACE), to reduce bi