Using causal diagrams to guide analysis in missing data problems.
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Are all biases missing data problems?Directed Acyclic Graphs for Oral Disease Research.Commentary: Berkson's fallacy and missing data.Randomized trials with missing outcome data: how to analyze and what to reportStatistical analysis with missing exposure data measured by proxy respondents: a misclassification problem within a missing-data problem.Selection bias modeling using observed data augmented with imputed record-level probabilities.A Cautious Note on Auxiliary Variables That Can Increase Bias in Missing Data Problems.Estimating Incremental Validity Under Missing Data.Prevalent tuberculosis and mortality among HAART initiators.Estimating bias from loss to follow-up in a prospective cohort study of bicycle crash injuries.Effect of antenatal multiple micronutrient supplementation on anthropometry and blood pressure in mid-childhood in Nepal: follow-up of a double-blind randomised controlled trialAsymptotically Unbiased Estimation of Exposure Odds Ratios in Complete Records Logistic RegressionCommentary: Incorporating concepts and methods from causal inference into life course epidemiology.Invited commentary: every good randomization deserves observation.Effects of antenatal multiple micronutrient supplementation on lung function in mid-childhood: follow-up of a double-blind randomised controlled trial in Nepal.Imputation approaches for potential outcomes in causal inference.Sensitivity analysis for nonignorable missingness and outcome misclassification from proxy reports.Missing doses in the life span study of Japanese atomic bomb survivors.Selection Bias Due to Loss to Follow Up in Cohort Studies.Appropriate inclusion of interactions was needed to avoid bias in multiple imputation.Introduction to causal diagrams for confounder selection.Utilizing Datasets to Advance Perinatal Research.Causality on longitudinal data: Stable specification search in constrained structural equation modeling.Assessing the Potential for Bias From Nonresponse to a Study Follow-up Interview: An Example From the Agricultural Health Study.Diagnostics for Confounding of Time-varying and Other Joint Exposures.Generalizing Study Results: A Potential Outcomes Perspective.Theoretical Basis of the Test-Negative Study Design for Assessment of Influenza Vaccine Effectiveness.At-Risk Alcohol Use Among HIV-Positive Patients and the Completion of Patient-Reported Outcomes.[Use of causal diagrams in Epidemiology: application to a situation with confounding].Loss to follow-up in cohort studies: bias in estimates of socioeconomic inequalities.MCAR is not necessary for the complete cases to constitute a simple random subsample of the target sample.Principled Approaches to Missing Data in Epidemiologic Studies.Collider scope: when selection bias can substantially influence observed associations.Transportability of Trial Results Using Inverse Odds of Sampling Weights.Methods for estimating complier average causal effects for cost-effectiveness analysis.Collaborative, pooled and harmonized study designs for epidemiologic research: challenges and opportunities.Uncovering selection bias in case-control studies using Bayesian post-stratification.
P2860
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P2860
Using causal diagrams to guide analysis in missing data problems.
description
2011 nî lūn-bûn
@nan
2011 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի մարտին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Using causal diagrams to guide analysis in missing data problems.
@ast
Using causal diagrams to guide analysis in missing data problems.
@en
type
label
Using causal diagrams to guide analysis in missing data problems.
@ast
Using causal diagrams to guide analysis in missing data problems.
@en
prefLabel
Using causal diagrams to guide analysis in missing data problems.
@ast
Using causal diagrams to guide analysis in missing data problems.
@en
P2860
P356
P1476
Using causal diagrams to guide analysis in missing data problems.
@en
P2093
Michael G Kenward
Simon N Cousens
P2860
P304
P356
10.1177/0962280210394469
P577
2011-03-09T00:00:00Z