Confounding control in healthcare database research: challenges and potential approaches.
about
An association between air pollution and daily outpatient visits for respiratory disease in a heavy industry areaNovel data-mining methodologies for adverse drug event discovery and analysisData for cancer comparative effectiveness research: past, present, and future potential.A framework for understanding cancer comparative effectiveness research data needsPitfalls in the assessment, analysis, and interpretation of routine outcome monitoring (ROM) Data: results from an outpatient clinic for integrative mental health.Mining high-dimensional administrative claims data to predict early hospital readmissionsFeasibility and utility of applications of the common data model to multiple, disparate observational health databases.Identification of smoking using Medicare data--a validation study of claims-based algorithmsLiterature-Based Discovery of Confounding in Observational Clinical DataNonexperimental comparative effectiveness research using linked healthcare databasesPropensity score methods for confounding control in nonexperimental researchPropensity scores for confounder adjustment when assessing the effects of medical interventions using nonexperimental study designs.Assessing the impact of propensity score estimation and implementation on covariate balance and confounding control within and across important subgroups in comparative effectiveness research.The role of the c-statistic in variable selection for propensity score models.Hospitalization and skilled nursing care are predictors of influenza vaccination among patients on hemodialysis: evidence of confounding by frailtyA self-controlled case series to assess the effectiveness of beta blockers for heart failure in reducing hospitalisations in the elderly.Evidence of sample use among new users of statins: implications for pharmacoepidemiology.Tradeoffs between accuracy measures for electronic health care data algorithmsFactors associated with the initiation of proton pump inhibitors in corticosteroid users.Effects of combination antiretroviral therapies on the risk of myocardial infarction among HIV patients.Reducing Bias Amplification in the Presence of Unmeasured Confounding Through Out-of-Sample Estimation Strategies for the Disease Risk Score.The relationship between changes in health behaviour and initiation of lipid-lowering and antihypertensive medications in individuals at high risk of ischaemic heart diseaseEvaluation of matched control algorithms in EHR-based phenotyping studies: a case study of inflammatory bowel disease comorbiditiesRisk of death and hospital admission for major medical events after initiation of psychotropic medications in older adults admitted to nursing homes.Effects of aggregation of drug and diagnostic codes on the performance of the high-dimensional propensity score algorithm: an empirical example.Building the graph of medicine from millions of clinical narratives.The implications of propensity score variable selection strategies in pharmacoepidemiology: an empirical illustration.Effectiveness of androgen-deprivation therapy and radiotherapy for older men with locally advanced prostate cancer.Covariate selection in high-dimensional propensity score analyses of treatment effects in small samples.Radiographic monitoring of incidental abdominal aortic aneurysms: a retrospective population-based cohort studySelection of confounding variables should not be based on observed associations with exposureThe impact of standardizing the definition of visits on the consistency of multi-database observational health researchRevisiting the washout period in the incident user study design: why 6-12 months may not be sufficientLinking electronic health records to better understand breast cancer patient pathways within and between two health systems.Effects of adjusting for instrumental variables on bias and precision of effect estimates.Confounding: what is it and how do we deal with it?Intimate partner violence and prescription of potentially addictive drugs: prospective cohort study of women in the Oslo Health StudyToward rapid learning in cancer treatment selection: An analytical engine for practice-based clinical dataReducing bias in the assessment of treatment effectiveness: androgen deprivation therapy for prostate cancer.Real World Data in Adaptive Biomedical Innovation: A Framework for Generating Evidence Fit for Decision-Making.
P2860
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P2860
Confounding control in healthcare database research: challenges and potential approaches.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
2010年學術文章
@zh
2010年學術文章
@zh-hant
name
Confounding control in healthcare database research: challenges and potential approaches.
@en
Confounding control in healthcare database research: challenges and potential approaches.
@nl
type
label
Confounding control in healthcare database research: challenges and potential approaches.
@en
Confounding control in healthcare database research: challenges and potential approaches.
@nl
prefLabel
Confounding control in healthcare database research: challenges and potential approaches.
@en
Confounding control in healthcare database research: challenges and potential approaches.
@nl
P2860
P50
P1433
P1476
Confounding control in healthcare database research: challenges and potential approaches
@en
P2093
Robert J Glynn
Sebastian Schneeweiss
P2860
P304
P356
10.1097/MLR.0B013E3181DBEBE3
P433
P577
2010-06-01T00:00:00Z