Performance of a semi-automated approach for risk estimation using a common data model for longitudinal healthcare databases.
about
Statistical challenges in systematic evidence generation through analysis of observational healthcare data networks.Effects of aggregation of drug and diagnostic codes on the performance of the high-dimensional propensity score algorithm: an empirical example.Transparency and Reproducibility of Observational Cohort Studies Using Large Healthcare Databases.
P2860
Performance of a semi-automated approach for risk estimation using a common data model for longitudinal healthcare databases.
description
2011 nî lūn-bûn
@nan
2011 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Performance of a semi-automate ...... itudinal healthcare databases.
@ast
Performance of a semi-automate ...... itudinal healthcare databases.
@en
type
label
Performance of a semi-automate ...... itudinal healthcare databases.
@ast
Performance of a semi-automate ...... itudinal healthcare databases.
@en
prefLabel
Performance of a semi-automate ...... itudinal healthcare databases.
@ast
Performance of a semi-automate ...... itudinal healthcare databases.
@en
P2093
P2860
P356
P1476
Performance of a semi-automate ...... gitudinal healthcare databases
@en
P2093
Ed Pattishall
Gregory Powell
Hoa Van Le
Kathleen J Beach
Patrick Ryan
P2860
P304
P356
10.1177/0962280211403599
P577
2011-06-16T00:00:00Z