Analysis of progression-free survival data using a discrete time survival model that incorporates measurements with and without diagnostic error.
about
Use of administrative data to increase the practicality of clinical trials: Insights from the Women's Health Initiative.Statistical considerations and endpoints for clinical lung cancer studies: Can progression free survival (PFS) substitute overall survival (OS) as a valid endpoint in clinical trials for advanced non-small-cell lung cancer?Reporting trends of outcome measures in phase II and phase III trials conducted in advanced-stage non-small-cell lung cancer.Considerations for analysis of time-to-event outcomes measured with error: Bias and correction with SIMEX.
P2860
Analysis of progression-free survival data using a discrete time survival model that incorporates measurements with and without diagnostic error.
description
2010 nî lūn-bûn
@nan
2010 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Analysis of progression-free s ...... and without diagnostic error.
@ast
Analysis of progression-free s ...... and without diagnostic error.
@en
type
label
Analysis of progression-free s ...... and without diagnostic error.
@ast
Analysis of progression-free s ...... and without diagnostic error.
@en
prefLabel
Analysis of progression-free s ...... and without diagnostic error.
@ast
Analysis of progression-free s ...... and without diagnostic error.
@en
P2860
P356
P1433
P1476
Analysis of progression-free s ...... and without diagnostic error.
@en
P2093
Paul S Albert
Sally Hunsberger
P2860
P304
P356
10.1177/1740774510384887
P50
P577
2010-11-25T00:00:00Z