Analysis of binary responses with outcome| specific misclassification ...

Analysis of binary responses with outcome-specific misclassification ...

Analysis of binary responses with outcome-specific misclassification probability in genome-wide association studies. Appl Clin Genet. 2016 ...

Analysis of binary responses with outcome-specific misclassification ...

Analysis of binary responses with outcome-specific misclassification probability in genome-wide association studies · The Application of Clinical Genetics, ...

Analysis of binary responses with outcome-specific misclassification ...

Analysis of binary responses with outcome-specific misclassification probability in genome-wide association studies Romdhane Rekaya,1–3 ...

Misclassification in binary choice models - ScienceDirect.com

Section 5 concludes. 2. Bias due to misclassification of a binary dependent variable. We are concerned with a situation in which a binary outcome ...

Statistical inference for association studies in the presence of binary ...

Analysis of binary responses with outcome-specific misclassification probability in genome-wide association studies The Appli- cation of Clinical Genetics.

Inference on regression model with misclassified binary response

Misclassification of binary responses, if ignored, may severely bias the maximum likelihood estimators (MLEs) of regression parameters.

Accounting for misclassification bias of binary outcomes due to ...

In the current study, we developed a Bayesian selection model that jointly modeled the binary outcome and the response indicator for the case ...

Statistical inference for association studies in the presence of binary ...

ResearchGate has not been able to resolve any citations for this publication. Analysis of binary responses with outcome-specific misclassification probability ...

Statistical inference for association studies in the presence of binary ...

... analyses that place restrictions on or ignore outcome misclassification. ... Analysis of binary responses with outcome-specific misclassification ...

Accounting for Misclassified Outcomes in Binary Regression Models ...

However, standard approaches to epidemiologic data analysis typically assume outcome misclassification is absent. Although approaches to account ...

ETD | Analysis of Data with Complex Misclassification in Response ...

... misclassification models for both the binary outcome and exposure variable. Throughout, illustrative examples are presented via detailed analyses of ...

Repeated responses in misclassification binary regression

Binary regression models generally assume that the response variable is measured perfectly. However, in some situations, the outcome is ...

Logistic Regression with Misclassification in Binary Outcome Variables

means the recorded value of a discrete response variable is different from its true value. 18. The essential goal of measurement error analysis is to obtain ...

Analysis of binary responses with outcome-specific misclassification ...

Overview of attention for article published in The Application of Clinical Genetics, November 2016. Altmetric Badge ...

misclassified binary responses and measurement error in covariates

Analysis of mixed outcomes: misclassified binary responses and measurement error in covariates ... We thus assume a mixed outcome set-up where the binary ...

Bias and Efficiency Loss Due to Misclassified Responses in Binary ...

That is, errors in the response lead to a loss of efficiency with respect to the analysis of error-free responses even when ... misclassification of outcome ...

The Application of Clinical Genetics Dovepress Analysis of Binary ...

The Application of Clinical Genetics Dovepress Analysis of Binary Responses with Outcome- Specific Misclassification Probability in Genome-wide Association ...

Analysis of Clustered and Longitudinal Binary Data Subject to ...

This article presents methods to implement both population-averaged and cluster-specific analyses of such data when the misclassification rates are known. The ...

Misclassification bias | Catalog of Bias

... response meta-analysis of cohort studies. ... 2017 Accounting for misclassification bias of binary outcomes due to underscreening: a sensitivity analysis.

Repeated responses in misclassification binary regression

Sal Y, Rosas VG, Hughes JP (2011) Nonparametric and semiparametric analysis of current status data subject to outcome misclassification. Statistical ...