Loss Function Based Ranking in Two-Stage, Hierarchical Models
about
Hierarchical Rank Aggregation with Applications to Nanotoxicology.Efficient evaluation of ranking procedures when the number of units is large, with application to SNP identification.Covariate adjustment and ranking methods to identify regions with high and low mortality ratesBrain network analysis: separating cost from topology using cost-integration.Classification accuracy of claims-based methods for identifying providers failing to meet performance targets.Defining and ranking effects of individual agents based on survival times of cancer patients treated with combination chemotherapies.Ranking USRDS provider specific SMRs from 1998-2001.Making the cut: improved ranking and selection for large-scale inference.Misclassification Risk of Tier-Based Physician Quality Performance Systems.On the accuracy of classifying hospitals on their performance measures.Empirical Bayes ranking and selection methods via semiparametric hierarchical mixture models in microarray studies.
P2860
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P2860
Loss Function Based Ranking in Two-Stage, Hierarchical Models
description
2006 nî lūn-bûn
@nan
2006 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
Loss Function Based Ranking in Two-Stage, Hierarchical Models
@ast
Loss Function Based Ranking in Two-Stage, Hierarchical Models
@en
type
label
Loss Function Based Ranking in Two-Stage, Hierarchical Models
@ast
Loss Function Based Ranking in Two-Stage, Hierarchical Models
@en
prefLabel
Loss Function Based Ranking in Two-Stage, Hierarchical Models
@ast
Loss Function Based Ranking in Two-Stage, Hierarchical Models
@en
P2093
P2860
P356
P1433
P1476
Loss Function Based Ranking in Two-Stage, Hierarchical Models
@en
P2093
Rongheng Lin
Susan M Paddock
Thomas A Louis
P2860
P304
P356
10.1214/06-BA130
P577
2006-01-01T00:00:00Z