Flexible regression models for ROC and risk analysis, with or without a gold standard.
about
Corrected ROC analysis for misclassified binary outcomes.Bayesian modeling and inference for diagnostic accuracy and probability of disease based on multiple diagnostic biomarkers with and without a perfect reference standard.Development and validation of an immunoperoxidase antigen detection test for improved diagnosis of rabies in Indonesia.Bayesian nonparametric inference for the three-class Youden index and its associated optimal cutoff points.Model-based clustering for assessing the prognostic value of imaging biomarkers and mixed type tests.Evaluating Behavioral Health Surveillance Systems.
P2860
Flexible regression models for ROC and risk analysis, with or without a gold standard.
description
2015 nî lūn-bûn
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2015年の論文
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2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
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2015年论文
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name
Flexible regression models for ROC and risk analysis, with or without a gold standard.
@en
type
label
Flexible regression models for ROC and risk analysis, with or without a gold standard.
@en
prefLabel
Flexible regression models for ROC and risk analysis, with or without a gold standard.
@en
P2093
P2860
P356
P1476
Flexible regression models for ROC and risk analysis, with or without a gold standard.
@en
P2093
Adam J Branscum
Andre T Baron
Timothy E Hanson
Wesley O Johnson
P2860
P304
P356
10.1002/SIM.6610
P407
P577
2015-08-03T00:00:00Z