BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

206 related articles for article (PubMed ID: 31939336)

  • 21. Variable selection in covariate dependent random partition models: an application to urinary tract infection.
    Barcella W; Iorio MD; Baio G; Malone-Lee J
    Stat Med; 2016 Apr; 35(8):1373-89. PubMed ID: 26536840
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Bayesian propensity scores for high-dimensional causal inference: A comparison of drug-eluting to bare-metal coronary stents.
    Spertus JV; Normand ST
    Biom J; 2018 Jul; 60(4):721-733. PubMed ID: 29682785
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Estimation of the average treatment effect with variable selection and measurement error simultaneously addressed for potential confounders.
    Yi GY; Chen LP
    Stat Methods Med Res; 2023 Apr; 32(4):691-711. PubMed ID: 36694932
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Comparing methods for estimation of heterogeneous treatment effects using observational data from health care databases.
    Wendling T; Jung K; Callahan A; Schuler A; Shah NH; Gallego B
    Stat Med; 2018 Oct; 37(23):3309-3324. PubMed ID: 29862536
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Bayesian inference of causal effects from observational data in Gaussian graphical models.
    Castelletti F; Consonni G
    Biometrics; 2021 Mar; 77(1):136-149. PubMed ID: 32294233
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Bayesian data fusion: Probabilistic sensitivity analysis for unmeasured confounding using informative priors based on secondary data.
    Comment L; Coull BA; Zigler C; Valeri L
    Biometrics; 2022 Jun; 78(2):730-741. PubMed ID: 33527348
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Bayesian estimation of the average treatment effect on the treated using inverse weighting.
    Capistrano ESM; Moodie EEM; Schmidt AM
    Stat Med; 2019 Jun; 38(13):2447-2466. PubMed ID: 30859603
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. Latent Network Estimation and Variable Selection for Compositional Data Via Variational EM.
    Osborne N; Peterson CB; Vannucci M
    J Comput Graph Stat; 2022; 31(1):163-175. PubMed ID: 36776345
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Adjustment for energy intake in nutritional research: a causal inference perspective.
    Tomova GD; Arnold KF; Gilthorpe MS; Tennant PWG
    Am J Clin Nutr; 2022 Jan; 115(1):189-198. PubMed ID: 34313676
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Joint genome-wide prediction in several populations accounting for randomness of genotypes: A hierarchical Bayes approach. II: Multivariate spike and slab priors for marker effects and derivation of approximate Bayes and fractional Bayes factors for the complete family of models.
    Martínez CA; Khare K; Banerjee A; Elzo MA
    J Theor Biol; 2017 Mar; 417():131-141. PubMed ID: 28088357
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Assessing causal treatment effect estimation when using large observational datasets.
    John ER; Abrams KR; Brightling CE; Sheehan NA
    BMC Med Res Methodol; 2019 Nov; 19(1):207. PubMed ID: 31726969
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A review of covariate selection for non-experimental comparative effectiveness research.
    Sauer BC; Brookhart MA; Roy J; VanderWeele T
    Pharmacoepidemiol Drug Saf; 2013 Nov; 22(11):1139-45. PubMed ID: 24006330
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Causal inference in suicide research: When you should (and should not!) control for extraneous variables.
    Cero I; Mitchell SM; Morris NM
    Suicide Life Threat Behav; 2021 Feb; 51(1):148-161. PubMed ID: 33624879
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Uncertainty in Propensity Score Estimation: Bayesian Methods for Variable Selection and Model Averaged Causal Effects.
    Zigler CM; Dominici F
    J Am Stat Assoc; 2014 Jan; 109(505):95-107. PubMed ID: 24696528
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Model misspecification and robustness in causal inference: comparing matching with doubly robust estimation.
    Waernbaum I
    Stat Med; 2012 Jul; 31(15):1572-81. PubMed ID: 22359267
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A framework for Bayesian nonparametric inference for causal effects of mediation.
    Kim C; Daniels MJ; Marcus BH; Roy JA
    Biometrics; 2017 Jun; 73(2):401-409. PubMed ID: 27479682
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Bayesian identification of structural coefficients in causal models and the causal false-positive risk of confounders and colliders in linear Markovian models.
    Kelter R
    BMC Med Res Methodol; 2022 Feb; 22(1):58. PubMed ID: 35220960
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Simple Quasi-Bayes Approach for Modeling Mean Medical Costs.
    Yoon G; Jiang W; Liu L; Shih YT
    Int J Biostat; 2019 Jun; 16(1):. PubMed ID: 31194679
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Doubly robust tests of exposure effects under high-dimensional confounding.
    Dukes O; Avagyan V; Vansteelandt S
    Biometrics; 2020 Dec; 76(4):1190-1200. PubMed ID: 32002989
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.