Cargando…
A secure distributed logistic regression protocol for the detection of rare adverse drug events
BACKGROUND: There is limited capacity to assess the comparative risks of medications after they enter the market. For rare adverse events, the pooling of data from multiple sources is necessary to have the power and sufficient population heterogeneity to detect differences in safety and effectivenes...
Autores principales: | El Emam, Khaled, Samet, Saeed, Arbuckle, Luk, Tamblyn, Robyn, Earle, Craig, Kantarcioglu, Murat |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Group
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3628043/ https://www.ncbi.nlm.nih.gov/pubmed/22871397 http://dx.doi.org/10.1136/amiajnl-2011-000735 |
Ejemplares similares
-
A secure protocol for protecting the identity of providers when disclosing data for disease surveillance
por: El Emam, Khaled, et al.
Publicado: (2011) -
A Protocol for the Secure Linking of Registries for HPV Surveillance
por: El Emam, Khaled, et al.
Publicado: (2012) -
Secure Surveillance of Antimicrobial Resistant Organism Colonization or Infection in Ontario Long Term Care Homes
por: El Emam, Khaled, et al.
Publicado: (2014) -
Random distributed logistic regression framework for predicting potential lncRNA‒disease association
por: Sun, Yichen, et al.
Publicado: (2021) -
Grid Binary LOgistic REgression (GLORE): building shared models without sharing data
por: Wu, Yuan, et al.
Publicado: (2012)