A critical look at methods for handling missing covariates in epidemiologic regression analyses.
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Reporting and methods in clinical prediction research: a systematic reviewOccupational asbestos exposure is associated with pharyngeal squamous cell carcinoma in men from the greater Boston areaChronic fatigue in general practice: is counselling as good as cognitive behaviour therapy? A UK randomised trialBenefit of early treatment in inflammatory polyarthritis patients with anti-cyclic citrullinated peptide antibodies versus those without antibodiesSpatial analysis of lung, colorectal, and breast cancer on Cape Cod: an application of generalized additive models to case-control data.Data Driven Estimation of Imputation Error—A Strategy for Imputation with a Reject OptionThe Influence of Health Behaviours in Childhood on Attention Deficit and Hyperactivity Disorder in AdolescenceInvoluntary smoking and head and neck cancer risk: pooled analysis in the International Head and Neck Cancer Epidemiology ConsortiumRegular dental visits are associated with earlier stage at diagnosis for oral and pharyngeal cancerOccupational dust exposure and head and neck squamous cell carcinoma risk in a population-based case-control study conducted in the greater Boston areaMatching methods for causal inference: A review and a look forwardThe role of early life factors in the development of ethnic differences in growth and overweight in preschool children: a prospective birth cohort.Database comparison of the adult-to-adult living donor liver transplantation cohort study (A2ALL) and the SRTR U.S. Transplant RegistryCommon genetic variation, residential proximity to traffic exposure, and left ventricular mass: the multi-ethnic study of atherosclerosis.Using the UNOS/SRTR and PHTS Databases to Improve Quality in Pediatric Cardiac Transplantation.Reweighted Mahalanobis distance matching for cluster-randomized trials with missing data.Multiple Imputation to Deal with Missing Clinical Data in Rheumatologic Surveys: an Application in the WHO-ILAR COPCORD Study in Iran.Supplementing claims data with outpatient laboratory test results to improve confounding adjustment in effectiveness studies of lipid-lowering treatments.Use of multiple imputation to correct for bias in lung cancer incidence trends by histologic subtype.Adjustment for missing data in complex surveys using doubly robust estimation: application to commercial sexual contact among Indian menResults differ by applying distinctive multiple imputation approaches on the longitudinal cardiovascular health study dataNonlinear multiple imputation for continuous covariate within semiparametric Cox model: application to HIV data in Senegal.Multiple imputation: dealing with missing data.How can I deal with missing data in my study?Standards should be applied in the prevention and handling of missing data for patient-centered outcomes research: a systematic review and expert consensus.Addressing the challenges of obtaining functional outcomes in traumatic brain injury research: missing data patterns, timing of follow-up, and three prognostic models.Missing data in the 2 x 2 table: patterns and likelihood-based analysis for cross-sectional studies with supplemental sampling.Review of analytical methods for prospective cohort studies using time to event data: single studies and implications for meta-analysis.Big data in organ transplantation: registries and administrative claims.Handling incomplete smoking history data in survival analysis.Model development including interactions with multiple imputed dataComparison of missing data approaches in linkage analysisImputing Missing Race/Ethnicity in Pediatric Electronic Health Records: Reducing Bias with Use of U.S. Census Location and Surname Data.Missing covariate data within cancer prognostic studies: a review of current reporting and proposed guidelinesUsing decision trees to understand structure in missing data.Effects of Different Missing Data Imputation Techniques on the Performance of Undiagnosed Diabetes Risk Prediction Models in a Mixed-Ancestry Population of South AfricaAre missing outcome data adequately handled? A review of published randomized controlled trials in major medical journals.Multiple imputation and analysis for high-dimensional incomplete proteomics dataThe Best of Both Worlds: Collaborations Can Improve Epidemiological Analyses of Public Health Data.Much ado about nothing: A comparison of missing data methods and software to fit incomplete data regression models.
P2860
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P2860
A critical look at methods for handling missing covariates in epidemiologic regression analyses.
description
1995 nî lūn-bûn
@nan
1995年の論文
@ja
1995年論文
@yue
1995年論文
@zh-hant
1995年論文
@zh-hk
1995年論文
@zh-mo
1995年論文
@zh-tw
1995年论文
@wuu
1995年论文
@zh
1995年论文
@zh-cn
name
A critical look at methods for ...... emiologic regression analyses.
@en
type
label
A critical look at methods for ...... emiologic regression analyses.
@en
prefLabel
A critical look at methods for ...... emiologic regression analyses.
@en
P1476
A critical look at methods for ...... emiologic regression analyses.
@en
P2093
Greenland S
P304
P356
10.1093/OXFORDJOURNALS.AJE.A117592
P407
P577
1995-12-01T00:00:00Z