Role of disease risk scores in comparative effectiveness research with emerging therapies
about
Disease risk score as a confounder summary method: systematic review and recommendationsA modular, prospective, semi-automated drug safety monitoring system for use in a distributed data environment.Dimension reduction and shrinkage methods for high dimensional disease risk scores in historical data.Risk of incident active tuberculosis disease in patients treated with non-steroidal anti-inflammatory drugs: a population-based studyReducing Bias Amplification in the Presence of Unmeasured Confounding Through Out-of-Sample Estimation Strategies for the Disease Risk Score.A counterfactual approach to bias and effect modification in terms of response types.Model Misspecification When Excluding Instrumental Variables From PS Models in Settings Where Instruments Modify the Effects of Covariates on TreatmentRisk of hospitalised infection in rheumatoid arthritis patients receiving biologics following a previous infection while on treatment with anti-TNF therapy.Refining the definition of clinically important mineral and bone disorder in hemodialysis patientsOn the use of propensity scores in case of rare exposure.External validation and comparison of two variants of the Elixhauser comorbidity measures for all-cause mortalityMatching on the disease risk score in comparative effectiveness research of new treatmentsComparison of Calipers for Matching on the Disease Risk ScoreAngiotensin-Converting Enzyme Inhibitors and Active Tuberculosis: A Population-Based Study.Prognostic score-based balance measures can be a useful diagnostic for propensity score methods in comparative effectiveness research.Evaluation of propensity scores, disease risk scores, and regression in confounder adjustment for the safety of emerging treatment with group sequential monitoring.New methods for determining comparative effectiveness in rheumatoid arthritisCKD-mineral and bone disorder and risk of death and cardiovascular hospitalization in patients on hemodialysis.Risk for Hospitalized Heart Failure Among New Users of Saxagliptin, Sitagliptin, and Other Antihyperglycemic Drugs: A Retrospective Cohort StudyOn the joint use of propensity and prognostic scores in estimation of the average treatment effect on the treated: a simulation study.Statin treatment is associated with a decreased risk of active tuberculosis: an analysis of a nationally representative cohort.Control of confounding in the analysis phase - an overview for clinicians.The "Dry-Run" Analysis: A Method for Evaluating Risk Scores for Confounding Control.Performance of the disease risk score in a cohort study with policy-induced selection bias.Comparative Risk of Hospitalized Infection Associated With Biologic Agents in Rheumatoid Arthritis Patients Enrolled in Medicare.Regularized Regression Versus the High-Dimensional Propensity Score for Confounding Adjustment in Secondary Database Analyses.Performance of Disease Risk Score Matching in Nested Case-Control Studies: A Simulation Study.On the use and misuse of scalar scores of confounders in design and analysis of observational studies.Severe hepatic injury associated with different statins in patients with chronic liver disease: a nationwide population-based cohort study.Empirical performance of a new user cohort method: lessons for developing a risk identification and analysis system.Study protocol for the dabigatran, apixaban, rivaroxaban, edoxaban, warfarin comparative effectiveness research study.Association of Higher Daptomycin Dose (7 mg/kg or Greater) with Improved Survival in Patients with Methicillin-Resistant Staphylococcus aureus Bacteremia.Development and application of two semi-automated tools for targeted medical product surveillance in a distributed data network.Methods for addressing "innocent bystanders" when evaluating safety of concomitant vaccines.New-user designs with conditional propensity scores: a unified complement to the traditional active comparator new-user approach.Estimation of conditional and marginal odds ratios using the prognostic score.Comparison of privacy-protecting analytic and data-sharing methods: A simulation studyOpportunities and Challenges in Using Epidemiologic Methods to Monitor Drug Safety in the Era of Large Automated Health Databases
P2860
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P2860
Role of disease risk scores in comparative effectiveness research with emerging therapies
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
2012年學術文章
@zh
2012年學術文章
@zh-hant
name
Role of disease risk scores in comparative effectiveness research with emerging therapies
@ast
Role of disease risk scores in comparative effectiveness research with emerging therapies
@en
type
label
Role of disease risk scores in comparative effectiveness research with emerging therapies
@ast
Role of disease risk scores in comparative effectiveness research with emerging therapies
@en
prefLabel
Role of disease risk scores in comparative effectiveness research with emerging therapies
@ast
Role of disease risk scores in comparative effectiveness research with emerging therapies
@en
P2093
P2860
P356
P1476
Role of disease risk scores in comparative effectiveness research with emerging therapies
@en
P2093
Joshua J Gagne
Robert J Glynn
Sebastian Schneeweiss
P2860
P304
P356
10.1002/PDS.3231
P478
21 Suppl 2
P577
2012-05-01T00:00:00Z