Matrix methods for estimating odds ratios with misclassified exposure data: extensions and comparisons.
about
A simple Bayesian analysis of misclassified binary data with a validation substudy.Extending McNemar's test: estimation and inference when paired binary outcome data are misclassified.Haplotype reconstruction error as a classical misclassification problem: introducing sensitivity and specificity as error measures.Correction for misclassification of a categorized exposure in binary regression using replication data.Corrected score estimation in the proportional hazards model with misclassified discrete covariatesValidation data-based adjustments for outcome misclassification in logistic regression: an illustrationSensitivity analysis for misclassification in logistic regression via likelihood methods and predictive value weighting.Extended Matrix and Inverse Matrix Methods Utilizing Internal Validation Data When Both Disease and Exposure Status Are MisclassifiedBinary regression with differentially misclassified response and exposure variables.Regression Analysis for Differentially Misclassified Correlated Binary Outcomes.Structured measurement error in nutritional epidemiology: applications in the Pregnancy, Infection, and Nutrition (PIN) Study.Binomial regression with a misclassified covariate and outcome.Validation study methods for estimating odds ratio in 2 × 2 × J tables when exposure is misclassified.Efficient logistic regression designs under an imperfect population identifierAn Empirical Study for Impacts of Measurement Errors on EHR based Association Studies.Probabilistic bias analysis in pharmacoepidemiology and comparative effectiveness research: a systematic review.The impact of gene-environment dependence and misclassification in genetic association studies incorporating gene-environment interactions.A note on estimating crude odds ratios in case-control studies with differentially misclassified exposure.Bayesian Credible Sets for Odds Ratio of Two Binomial Proportions Using Double Sampling with False-Positive Misclassification
P2860
Q30699220-5FBFE506-9CEE-4AA3-B539-8004675A0270Q30983777-C9BECB2E-7C51-439B-8761-C5E1D19FB5A0Q33325479-5FF5B4F0-138C-4151-8FDA-F30C280FF751Q33503793-508CE86B-2516-46C5-A0EC-D02451E1FFACQ33669623-F6310B36-DA71-43FC-B02E-6ACFEAD87E2DQ33870912-2472E989-C38B-45B1-BC8A-625583845885Q35029777-85463CF7-6F89-41FF-B36C-7CB9E268DD45Q35243869-C38EE1CD-1F4A-4775-8E82-3E3C1D3C2009Q35564292-284460F1-2E01-4329-9627-BFB9B0E10AF2Q35633894-982FA017-4BED-4E11-8215-8DC3F3FBDF61Q36737825-11E92750-D424-4C9D-83C5-206A66608DD6Q37445662-B42E8C14-34AF-46A3-81FB-A8659772409AQ37449493-96207288-4E68-45C9-A1D1-E470FC379EFFQ37637649-668C4429-EB4C-4EE3-A30C-E02C6D1981A6Q38922656-DD4FAFD7-8EA1-4A27-BF8A-E774A3EC60B9Q38946219-7F00D3F7-1482-40A2-9E8D-2470A8B6F637Q40524964-AAEE07EA-F409-4AE5-9ADB-2BFEAA6F271DQ51640136-4925242B-34F3-4D52-BA44-708720146B6AQ58117224-7518196A-1F0C-4687-9E53-7329453E5E9D
P2860
Matrix methods for estimating odds ratios with misclassified exposure data: extensions and comparisons.
description
1999 nî lūn-bûn
@nan
1999 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
1999 թվականի հունիսին հրատարակված գիտական հոդված
@hy
1999年の論文
@ja
1999年論文
@yue
1999年論文
@zh-hant
1999年論文
@zh-hk
1999年論文
@zh-mo
1999年論文
@zh-tw
1999年论文
@wuu
name
Matrix methods for estimating ...... a: extensions and comparisons.
@ast
Matrix methods for estimating ...... a: extensions and comparisons.
@en
type
label
Matrix methods for estimating ...... a: extensions and comparisons.
@ast
Matrix methods for estimating ...... a: extensions and comparisons.
@en
prefLabel
Matrix methods for estimating ...... a: extensions and comparisons.
@ast
Matrix methods for estimating ...... a: extensions and comparisons.
@en
P2860
P1433
P1476
Matrix methods for estimating ...... a: extensions and comparisons.
@en
P2093
Morrissey MJ
Spiegelman D
P2860
P304
P356
10.1111/J.0006-341X.1999.00338.X
P407
P577
1999-06-01T00:00:00Z