Nonparametric and Semiparametric Analysis of Current Status Data Subject to Outcome Misclassification.
about
Supervised classification in the presence of misclassified training data: a Monte Carlo simulation study in the three group caseEstimating Time of Infection Using Prior Serological and Individual Information Can Greatly Improve Incidence Estimation of Human and Wildlife Infections.Misclassified group-tested current status data.
P2860
Nonparametric and Semiparametric Analysis of Current Status Data Subject to Outcome Misclassification.
description
2010 nî lūn-bûn
@nan
2010 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի ապրիլին 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
Nonparametric and Semiparametr ...... to Outcome Misclassification.
@ast
Nonparametric and Semiparametr ...... to Outcome Misclassification.
@en
Nonparametric and Semiparametr ...... to Outcome Misclassification.
@nl
type
label
Nonparametric and Semiparametr ...... to Outcome Misclassification.
@ast
Nonparametric and Semiparametr ...... to Outcome Misclassification.
@en
Nonparametric and Semiparametr ...... to Outcome Misclassification.
@nl
prefLabel
Nonparametric and Semiparametr ...... to Outcome Misclassification.
@ast
Nonparametric and Semiparametr ...... to Outcome Misclassification.
@en
Nonparametric and Semiparametr ...... to Outcome Misclassification.
@nl
P2860
P1476
Nonparametric and Semiparametr ...... t to Outcome Misclassification
@en
P2093
James P Hughes
Victor G Sal Y Rosas
P2860
P577
2010-04-01T00:00:00Z