These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

250 related articles for article (PubMed ID: 33755518)

  • 21. Covariate selection with group lasso and doubly robust estimation of causal effects.
    Koch B; Vock DM; Wolfson J
    Biometrics; 2018 Mar; 74(1):8-17. PubMed ID: 28636276
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Propensity score specification for optimal estimation of average treatment effect with binary response.
    Craycroft JA; Huang J; Kong M
    Stat Methods Med Res; 2020 Dec; 29(12):3623-3640. PubMed ID: 32640934
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Causal Inference with Multilevel Data: A Comparison of Different Propensity Score Weighting Approaches.
    Fuentes A; Lüdtke O; Robitzsch A
    Multivariate Behav Res; 2022; 57(6):916-939. PubMed ID: 34128730
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Evaluating Flexible Modeling of Continuous Covariates in Inverse-Weighted Estimators.
    Kyle RP; Moodie EEM; Klein MB; Abrahamowicz M
    Am J Epidemiol; 2019 Jun; 188(6):1181-1191. PubMed ID: 30649165
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Propensity score weighting for causal subgroup analysis.
    Yang S; Lorenzi E; Papadogeorgou G; Wojdyla DM; Li F; Thomas LE
    Stat Med; 2021 Aug; 40(19):4294-4309. PubMed ID: 33982316
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Data-Adaptive Selection of the Propensity Score Truncation Level for Inverse-Probability-Weighted and Targeted Maximum Likelihood Estimators of Marginal Point Treatment Effects.
    Gruber S; Phillips RV; Lee H; van der Laan MJ
    Am J Epidemiol; 2022 Aug; 191(9):1640-1651. PubMed ID: 35512316
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Should a propensity score model be super? The utility of ensemble procedures for causal adjustment.
    Alam S; Moodie EEM; Stephens DA
    Stat Med; 2019 Apr; 38(9):1690-1702. PubMed ID: 30586681
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Improving causal inference with a doubly robust estimator that combines propensity score stratification and weighting.
    Linden A
    J Eval Clin Pract; 2017 Aug; 23(4):697-702. PubMed ID: 28116816
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Quantifying the bias due to observed individual confounders in causal treatment effect estimates.
    Parast L; Griffin BA
    Stat Med; 2020 Aug; 39(18):2447-2476. PubMed ID: 32388870
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Balancing vs modeling approaches to weighting in practice.
    Chattopadhyay A; Hase CH; Zubizarreta JR
    Stat Med; 2020 Oct; 39(24):3227-3254. PubMed ID: 32882755
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Comparing approaches to causal inference for longitudinal data: inverse probability weighting versus propensity scores.
    Ertefaie A; Stephens DA
    Int J Biostat; 2010; 6(2):Article 14. PubMed ID: 21969998
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Subgroup balancing propensity score.
    Dong J; Zhang JL; Zeng S; Li F
    Stat Methods Med Res; 2020 Mar; 29(3):659-676. PubMed ID: 31456486
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Covariate balance-related propensity score weighting in estimating overall hazard ratio with distributed survival data.
    Huang C; Wei K; Wang C; Yu Y; Qin G
    BMC Med Res Methodol; 2023 Oct; 23(1):233. PubMed ID: 37833641
    [TBL] [Abstract][Full Text] [Related]  

  • 34. High-dimensional propensity score algorithm in comparative effectiveness research with time-varying interventions.
    Neugebauer R; Schmittdiel JA; Zhu Z; Rassen JA; Seeger JD; Schneeweiss S
    Stat Med; 2015 Feb; 34(5):753-81. PubMed ID: 25488047
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A novel approach for propensity score matching and stratification for multiple treatments: Application to an electronic health record-derived study.
    Brown DW; DeSantis SM; Greene TJ; Maroufy V; Yaseen A; Wu H; Williams G; Swartz MD
    Stat Med; 2020 Jul; 39(17):2308-2323. PubMed ID: 32297677
    [TBL] [Abstract][Full Text] [Related]  

  • 36. The performance of inverse probability of treatment weighting and full matching on the propensity score in the presence of model misspecification when estimating the effect of treatment on survival outcomes.
    Austin PC; Stuart EA
    Stat Methods Med Res; 2017 Aug; 26(4):1654-1670. PubMed ID: 25934643
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Joint calibrated estimation of inverse probability of treatment and censoring weights for marginal structural models.
    Yiu S; Su L
    Biometrics; 2022 Mar; 78(1):115-127. PubMed ID: 33247594
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A Case Study of the Impact of Data-Adaptive Versus Model-Based Estimation of the Propensity Scores on Causal Inferences from Three Inverse Probability Weighting Estimators.
    Neugebauer R; Schmittdiel JA; van der Laan MJ
    Int J Biostat; 2016 May; 12(1):131-55. PubMed ID: 27227720
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Multiply robust estimation of causal quantile treatment effects.
    Xie Y; Cotton C; Zhu Y
    Stat Med; 2020 Dec; 39(28):4238-4251. PubMed ID: 32857876
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Confounder selection strategies targeting stable treatment effect estimators.
    Loh WW; Vansteelandt S
    Stat Med; 2021 Feb; 40(3):607-630. PubMed ID: 33150645
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.