Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Andrea Arfè"'
Autor:
Tania Schink, Bianca Kollhorst, Cristina Varas Lorenzo, Andrea Arfè, Ron Herings, Silvia Lucchi, Silvana Romio, René Schade, Martijn J Schuemie, Huub Straatman, Vera Valkhoff, Marco Villa, Miriam Sturkenboom, Edeltraut Garbe
Publikováno v:
PLoS ONE, Vol 13, Iss 9, p e0203362 (2018)
BACKGROUND AND PURPOSE:A multi-country European study using data from six healthcare databases from four countries was performed to evaluate in a large study population (>32 million) the risk of ischemic stroke (IS) associated with individual NSAIDs
Externí odkaz:
https://doaj.org/article/dcd5658b5dd04a3f9ee1ce3b2f77d3fb
Autor:
Gwen M C Masclee, Huub Straatman, Andrea Arfè, Jordi Castellsague, Edeltraut Garbe, Ron Herings, Bianca Kollhorst, Silvia Lucchi, Susana Perez-Gutthann, Silvana Romio, René Schade, Tania Schink, Martijn J Schuemie, Lorenza Scotti, Cristina Varas-Lorenzo, Vera E Valkhoff, Marco Villa, Miriam C J M Sturkenboom
Publikováno v:
PLoS ONE, Vol 13, Iss 11, p e0204746 (2018)
BACKGROUND:Use of selective COX-2 non-steroidal anti-inflammatory drugs (NSAIDs) (coxibs) has been associated with an increased risk of acute myocardial infarction (AMI). However, the risk of AMI has only been studied for very few NSAIDs that are fre
Externí odkaz:
https://doaj.org/article/cde978a69be84d6f8d9a1fe3d2e6018d
Publikováno v:
JNCI: Journal of the National Cancer Institute.
Background Many new molecular entities (NMEs) enter clinical development to evaluate potential therapeutic benefits for oncology patients. We characterized adult and pediatric development of the set of NMEs that started clinical testing in 2010-2015
Autor:
Alejandra Avalos-Pacheco, Steffen Ventz, Andrea Arfè, Brian M. Alexander, Rifaquat Rahman, Patrick Y. Wen, Lorenzo Trippa
Publikováno v:
JCO Precision Oncology.
PURPOSE Adaptive clinical trials use algorithms to predict, during the study, patient outcomes and final study results. These predictions trigger interim decisions, such as early discontinuation of the trial, and can change the course of the study. P
Publikováno v:
Biometrics. 77:587-598
Most statistical tests for treatment effects used in randomized clinical trials with survival outcomes are based on the proportional hazards assumption, which often fails in practice. Data from early exploratory studies may provide evidence of nonpro
Autor:
Jon McDunn, Bill Louv, Lorenzo Trippa, Brian M. Alexander, Geoffrey Fell, Robert A. Redd, Rifaquat Rahman, Andrea Arfè, Alyssa M Vanderbeek, Steffen Ventz
Publikováno v:
Database: The Journal of Biological Databases and Curation
We created a database of reconstructed patient-level data from published clinical trials that includes multiple time-to-event outcomes such as overall survival and progression-free survival. Outcomes were extracted from Kaplan–Meier (KM) curves rep
Autor:
Brian M. Alexander, Lorenzo Trippa, Barbara L. Smith, Andrea Arfè, Laura Spring, Rachel A. Greenup, Beverly Moy, Aditya Bardia, Kerry L. Reynolds, Chandni Sharma, Steven J. Isakoff, Geoffrey Fell, Giovanni Parmigiani
Publikováno v:
Clin Cancer Res
Purpose:While various studies have highlighted the prognostic significance of pathologic complete response (pCR) after neoadjuvant chemotherapy (NAT), the impact of additional adjuvant therapy after pCR is not known.Experimental Design:PubMed was sea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cbf308f6a40059ae243d94f4faa495a
https://europepmc.org/articles/PMC7299787/
https://europepmc.org/articles/PMC7299787/
Autor:
Andrea Arfè, Pietro Muliere
We introduce a novel procedure to perform Bayesian non-parametric inference with right-censored data, the \emph{beta-Stacy bootstrap}. This approximates the posterior law of summaries of the survival distribution (e.g. the mean survival time). More p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4451957fb9db47c4bb5c2cbc4f329b3f
Publikováno v:
JAMA Oncology. 7:1281
Autor:
Andrea Arfè, Federica Nicotra, A Ghirardi, Miriam C. J. M. Sturkenboom, Monica Simonetti, Francesco Lapi, Giovanni Corrao
Publikováno v:
Pharmacoepidemiology and Drug Safety. 25:1443-1450
Purpose The effect of drug exposure misclassification generally receives little attention in pharmacoepidemiological research. In this paper, we illustrate a probabilistic bias analysis approach for misclassified categorical exposures and apply it in