A highly efficient design strategy for regression with outcome pooling.
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Semiparametric regression models for a right-skewed outcome subject to pooling.Positing, fitting, and selecting regression models for pooled biomarker data.A Discriminant Function Approach to Adjust for Processing and Measurement Error When a Biomarker is Assayed in Pooled SamplesAn efficient design strategy for logistic regression using outcome- and covariate-dependent pooling of biospecimens prior to assay.Estimating relative risk of a log-transformed exposure measured in pools.
P2860
A highly efficient design strategy for regression with outcome pooling.
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2014 nî lūn-bûn
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2014 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի սեպտեմբերին հրատարակված գիտական հոդված
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2014年の論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
@zh-mo
2014年論文
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2014年论文
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name
A highly efficient design strategy for regression with outcome pooling.
@ast
A highly efficient design strategy for regression with outcome pooling.
@en
A highly efficient design strategy for regression with outcome pooling.
@nl
type
label
A highly efficient design strategy for regression with outcome pooling.
@ast
A highly efficient design strategy for regression with outcome pooling.
@en
A highly efficient design strategy for regression with outcome pooling.
@nl
prefLabel
A highly efficient design strategy for regression with outcome pooling.
@ast
A highly efficient design strategy for regression with outcome pooling.
@en
A highly efficient design strategy for regression with outcome pooling.
@nl
P2093
P2860
P356
P1476
A highly efficient design strategy for regression with outcome pooling.
@en
P2093
Amita K Manatunga
Emily M Mitchell
Robert H Lyles
P2860
P304
P356
10.1002/SIM.6305
P407
P577
2014-09-15T00:00:00Z