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Regression for skewed biomarker outcomes subject to pooling

Regression for skewed biomarker outcomes subject to pooling

http://www.wikidata.org/entity/Q30576258

about

Semiparametric regression models for a right-skewed outcome subject to pooling.Positing, fitting, and selecting regression models for pooled biomarker data.A highly efficient design strategy for regression with outcome pooling.A Discriminant Function Approach to Adjust for Processing and Measurement Error When a Biomarker is Assayed in Pooled Samples Pooling Bio-Specimens in the Presence of Measurement Error and Non-Linearity in Dose-Response: Simulation Study in the Context of a Birth Cohort Investigating Risk Factors for Autism Spectrum Disorders A general framework for the regression analysis of pooled biomarker assessments.Estimating covariate-adjusted measures of diagnostic accuracy based on pooled biomarker assessments.

P2860

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P2860

Regression for skewed biomarker outcomes subject to pooling

http://www.wikidata.org/entity/Q30576258

description

2014 nî lūn-bûn

@nan

2014 թուականի Փետրուարին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի փետրվարին հրատարակված գիտական հոդված

@hy

2014年の論文

@ja

2014年論文

@yue

2014年論文

@zh-hant

2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

@zh-tw

2014年论文

@wuu

name

Regression for skewed biomarker outcomes subject to pooling

@ast

Regression for skewed biomarker outcomes subject to pooling

@en

type

label

Regression for skewed biomarker outcomes subject to pooling

@ast

Regression for skewed biomarker outcomes subject to pooling

@en

prefLabel

Regression for skewed biomarker outcomes subject to pooling

@ast

Regression for skewed biomarker outcomes subject to pooling

@en

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Regression for skewed biomarker outcomes subject to pooling

@en

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Amita K Manatunga

http://www.w3.org/2001/XMLSchema#string

Emily M Mitchell

http://www.w3.org/2001/XMLSchema#string

Michelle Danaher

http://www.w3.org/2001/XMLSchema#string

Robert H Lyles

http://www.w3.org/2001/XMLSchema#string

P2860

Hybrid pooled-unpooled design for cost-efficient measurement of biomarkers

Logistic regression analysis of biomarker data subject to pooling and dichotomization.

Pooling designs for outcomes under a Gaussian random effects model.

Binary regression analysis with pooled exposure measurements: a regression calibration approach.

Likelihood-based methods for regression analysis with binary exposure status assessed by pooling.

Circulating levels of cytokines during pregnancy: thrombopoietin is elevated in miscarriage.

To pool or not to pool, from whether to when: applications of pooling to biospecimens subject to a limit of detection.

Assessment of skewed exposure in case-control studies with pooling.

Regression models for disease prevalence with diagnostic tests on pools of serum samples.

A combined efficient design for biomarker data subject to a limit of detection due to measuring instrument sensitivity

P304

202-211

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scholarly article

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10.1111/BIOM.12134

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1

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70

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Neil J. Perkins

Enrique F. Schisterman

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2014-02-12T00:00:00Z

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260168171

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24521420

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