Semi-automated sensitivity analysis to assess systematic errors in observational data.
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Uncertainty analysis: an example of its application to estimating a survey proportionSensitivity analyses for sparse-data problems-using weakly informative Bayesian priorsQuantifying and adjusting for disease misclassification due to loss to follow-up in historical cohort mortality studiesThe missed lessons of Sir Austin Bradford HillMobile phone use and risk of uveal melanoma: results of the risk factors for uveal melanoma case-control studyEditorial: Wishful thinkingIntroducing article-processing charges and inviting "detailed methods sections" articles.Epidemiologic measures and policy formulation: lessons from potential outcomes.Consumption of sugar sweetened beverages, artificially sweetened beverages, and fruit juice and incidence of type 2 diabetes: systematic review, meta-analysis, and estimation of population attributable fractionMeasuring unsafe abortion-related mortality: a systematic review of the existing methodsConsumption of sugar sweetened beverages, artificially sweetened beverages, and fruit juice and incidence of type 2 diabetes: systematic review, meta-analysis, and estimation of population attributable fractionStrengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaborationSpecifying exposure classification parameters for sensitivity analysis: family breast cancer historyIncorporating individual-level distributions of exposure error in epidemiologic analyses: an example using arsenic in drinking water and bladder cancerAtrazine and pregnancy outcomes: a systematic review of epidemiologic evidenceDiesel exhaust in miners study: how to understand the findings?A proposal for assessing study quality: Biomonitoring, Environmental Epidemiology, and Short-lived Chemicals (BEES-C) instrumentEvaluating uncertainty to strengthen epidemiologic data for use in human health risk assessmentsExplanation and Elaboration Document for the STROBE-Vet Statement: Strengthening the Reporting of Observational Studies in Epidemiology-Veterinary ExtensionMeeting report: atmospheric pollution and human reproductionEnvironmental determinants of infectious disease: a framework for tracking causal links and guiding public health research.Comparison of bias analysis strategies applied to a large data setMisclassification in administrative claims data: quantifying the impact on treatment effect estimates.Maternal vitamin D status and the risk of mild and severe preeclampsia.Probabilistic approaches to better quantifying the results of epidemiologic studiesValidation data-based adjustments for outcome misclassification in logistic regression: an illustrationMorbidity and mortality in patients with esophageal atresia.Maternal serum folate species in early pregnancy and risk of preterm birthMedical databases in studies of drug teratogenicity: methodological issuesMaternal vitamin D deficiency increases the risk of preeclampsiaDoes timing of neonatal inguinal hernia repair affect outcomes?Sensitivity analysis for misclassification in logistic regression via likelihood methods and predictive value weighting.Risk.Shared dosimetry error in epidemiological dose-response analyses.Extended Matrix and Inverse Matrix Methods Utilizing Internal Validation Data When Both Disease and Exposure Status Are MisclassifiedThrowing out the baby with the bathwater?: Comparing 2 approaches to implausible values of change in body size.Binary regression with differentially misclassified response and exposure variables.Is probabilistic bias analysis approximately Bayesian?Potential sensitivity of bias analysis results to incorrect assumptions of nondifferential or differential binary exposure misclassificationImpact of GOS misclassification on ordinal outcome analysis of traumatic brain injury clinical trials
P2860
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P2860
Semi-automated sensitivity analysis to assess systematic errors in observational data.
description
2003 nî lūn-bûn
@nan
2003 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
name
Semi-automated sensitivity analysis to assess systematic errors in observational data.
@ast
Semi-automated sensitivity analysis to assess systematic errors in observational data.
@en
type
label
Semi-automated sensitivity analysis to assess systematic errors in observational data.
@ast
Semi-automated sensitivity analysis to assess systematic errors in observational data.
@en
prefLabel
Semi-automated sensitivity analysis to assess systematic errors in observational data.
@ast
Semi-automated sensitivity analysis to assess systematic errors in observational data.
@en
P1433
P1476
Semi-automated sensitivity analysis to assess systematic errors in observational data.
@en
P2093
Aliza K Fink
Timothy L Lash
P304
P356
10.1097/00001648-200307000-00014
P577
2003-07-01T00:00:00Z