Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study.
about
Considerations for observational research using large data sets in radiation oncologyContinuous long-term immunomodulatory therapy in relapsing multiple sclerosis: results from the 15-year analysis of the US prospective open-label study of glatiramer acetateLong-term benefits of full-day kindergarten: a longitudinal population-based studyTorsemide Versus Furosemide in Patients With Acute Heart Failure (from the ASCEND-HF Trial)Paid Sick Leave and Job StabilityEstablishing long-term efficacy in chronic disease: use of recursive partitioning and propensity score adjustment to estimate outcome in MSMatching methods for causal inference: A review and a look forwardDoubly robust estimation of causal effectsDoubly robust estimators of causal exposure effects with missing data in the outcome, exposure or a confounder.The use of propensity scores and observational data to estimate randomized controlled trial generalizability bias.Modeling potential time to event data with competing risks.Test the reliability of doubly robust estimation with missing response data.Pregnancy intentions and maternal and child health: an analysis of longitudinal data in Oklahoma.Multiple comparisons for survival data with propensity score adjustmentPropensity Score Methods for Analyzing Observational Data Like Randomized Experiments: Challenges and Solutions for Rare Outcomes and Exposures.Doubly robust estimation in missing data and causal inference models.How Bias Reduction Is Affected by Covariate Choice, Unreliability, and Mode of Data Analysis: Results From Two Types of Within-Study Comparisons.Double robust estimator of average causal treatment effect for censored medical cost data."A Bayesian sensitivity analysis to evaluate the impact of unmeasured confounding with external data: a real world comparative effectiveness study in osteoporosis".Doubly robust estimator for net survival rate in analyses of cancer registry data.Propensity score weighting for a continuous exposure with multilevel data.Comment: Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data.Semiparametric Estimation of Treatment Effect in a Pretest-Posttest Study with Missing Data.Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data.Inverse probability weighting with error-prone covariates.Elapsed time in emergency medical services for patients with cardiac complaints: are some patients at greater risk for delay?Comparison of prostate cancer diagnosis in patients receiving unrelated urological and non-urological cancer care.Improving propensity score weighting using machine learning.Relationships Between Adolescent Sexual Outcomes and Exposure to Sex in Media: Robustness to Propensity-Based Analysis.Linear regression analysis of survival data with missing censoring indicators.Using Non-experimental Data to Estimate Treatment EffectsPropensity score methods for confounding control in nonexperimental researchUse of Radiation Therapy in Metastatic Nasopharyngeal Cancer Improves Survival: A SEER Analysis.Extending the Bayesian Adjustment for Confounding algorithm to binary treatment covariates to estimate the effect of smoking on carotid intima-media thickness: the Multi-Ethnic Study of Atherosclerosis.The use of propensity scores to assess the generalizability of results from randomized trials.Research priorities for economic analyses of prevention: current issues and future directions.Estimating predicted probabilities from logistic regression: different methods correspond to different target populationsIs unemployment in young adulthood related to self-rated health later in life? Results from the Northern Swedish cohort.A comparison of perioperative outcomes of video-assisted thoracic surgical (VATS) lobectomy with open thoracotomy and lobectomy: results of an analysis using propensity score based weighting.Doubly robust estimates for binary longitudinal data analysis with missing response and missing covariates
P2860
Q24289442-78D4664B-9982-41B8-87DF-273E262B382EQ24602567-07175F97-00AC-480C-A2D1-E235BED375BEQ27001648-FD60E6B2-959B-47DD-9D2A-F133C8503D95Q28271500-24BE40D0-F61B-487D-A4E7-10529120C5FFQ28390905-53295491-6F08-41C1-A13B-5C0D5712A13FQ28478190-CB5956D2-1626-40C2-93C5-DC40C02D8C28Q28749221-B8379EEF-3D70-4E2E-AF59-0947D74CB30DQ30499313-4D0FA599-98FC-47BD-A4E7-033B6596EE2EQ30574249-8C8ABCFB-DCFE-463D-BFF2-60190F354BD3Q30611719-C7C7C834-569A-42A4-9785-7A1F8666C303Q30669557-D58F33C5-5655-4B99-817C-1489B4F6461CQ30765072-6903A25C-A4E2-4821-9CA3-2C1A97681DA1Q30857724-2108BE23-A707-49FC-B9B5-8273AD543E33Q30890237-CDD62D20-FF0F-4542-8E59-D2B16F192028Q30955740-1235108C-DBE0-4466-ABC2-895FFC800245Q31029091-1805978A-34DC-423F-8B88-AA93318FAE08Q31039337-5FEC990C-D82C-4568-903D-037DAD6D2A45Q31040519-88944AB2-4B27-4D83-A04A-220F3773B452Q31113647-0A1076BA-B6B5-4B83-AE91-59A4E3BEFF6BQ31118875-35FCA81E-5200-4607-B972-74636D62FD05Q31149870-E665820B-8A6A-400B-B8C0-E00C06C1033AQ31157218-4BAD6350-5966-4E50-A8C5-9EE2F4F20906Q33392861-9EE58A1E-89F4-4E88-A508-D8434ABB23FEQ33531715-435815F4-7B75-43F2-9135-D0ED743DD41DQ33554123-4E68F1A3-81E3-4D2C-AE1C-13FB1F3A4C44Q33572471-CFA82D44-7D02-487C-8C8D-E1F5D9211CC6Q33581483-9E4023BF-08EA-43D0-82BA-620C8247520BQ33596171-3065A8F0-FE28-4EF6-9DDD-8EFE797DEB30Q33606401-C7E5C8EC-4AFA-4977-AA88-72162E9D409AQ33608799-6F76E70F-193C-482E-B391-2E93AEB6ED88Q33610053-2A724E6F-849A-4CDC-A1AE-789849136A84Q33654170-DBC6A087-C21E-43DD-8050-7278EAC4B2D6Q33674005-D806DDFD-4E6D-4CB7-A284-401110C83224Q33717547-C6BD3B68-08A8-472B-B831-EC1AB4F79EDBQ33733625-F1C3DCD6-7276-4DA4-A6D2-1E555AA1C70FQ33734956-496178D6-1B5F-4376-90DE-74E33EAA945BQ33736096-17688D7B-59B7-4906-9039-49D5BA2807AEQ33743651-0F880454-B2E2-4E13-AD94-302402FB2B2BQ33766152-B456788B-81D4-4D35-85D5-76705174F03CQ33807673-01022E7C-61EF-4B4E-B3E8-BFF3501B3B53
P2860
Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study.
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
2004年论文
@zh
2004年论文
@zh-cn
name
Stratification and weighting v ...... effects: a comparative study.
@ast
Stratification and weighting v ...... effects: a comparative study.
@en
type
label
Stratification and weighting v ...... effects: a comparative study.
@ast
Stratification and weighting v ...... effects: a comparative study.
@en
prefLabel
Stratification and weighting v ...... effects: a comparative study.
@ast
Stratification and weighting v ...... effects: a comparative study.
@en
P356
P1476
Stratification and weighting v ...... effects: a comparative study.
@en
P2093
Jared K Lunceford
Marie Davidian
P304
P356
10.1002/SIM.1903
P407
P577
2004-10-01T00:00:00Z