BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

186 related articles for article (PubMed ID: 31994451)

  • 1. Estimation of causal effects with repeatedly measured outcomes in a Bayesian framework.
    Liu K; Saarela O; Feldman BM; Pullenayegum E
    Stat Methods Med Res; 2020 Sep; 29(9):2507-2519. PubMed ID: 31994451
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Causal inference in high dimensions: A marriage between Bayesian modeling and good frequentist properties.
    Antonelli J; Papadogeorgou G; Dominici F
    Biometrics; 2022 Mar; 78(1):100-114. PubMed ID: 33349923
    [TBL] [Abstract][Full Text] [Related]  

  • 3. On Bayesian estimation of marginal structural models.
    Saarela O; Stephens DA; Moodie EE; Klein MB
    Biometrics; 2015 Jun; 71(2):279-88. PubMed ID: 25677103
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Simulation-based estimators of analytically intractable causal effects.
    Linero AR
    Biometrics; 2022 Sep; 78(3):1001-1017. PubMed ID: 34051105
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Data-driven confounder selection via Markov and Bayesian networks.
    Häggström J
    Biometrics; 2018 Jun; 74(2):389-398. PubMed ID: 29096036
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Joint estimation of causal effects from observational and intervention gene expression data.
    Rau A; Jaffrézic F; Nuel G
    BMC Syst Biol; 2013 Oct; 7():111. PubMed ID: 24172639
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bayesian sensitivity analysis for unmeasured confounding in causal mediation analysis.
    McCandless LC; Somers JM
    Stat Methods Med Res; 2019 Feb; 28(2):515-531. PubMed ID: 28882092
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Bayesian joint modelling of longitudinal and time to event data: a methodological review.
    Alsefri M; Sudell M; García-Fiñana M; Kolamunnage-Dona R
    BMC Med Res Methodol; 2020 Apr; 20(1):94. PubMed ID: 32336264
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A menu-driven software package of Bayesian nonparametric (and parametric) mixed models for regression analysis and density estimation.
    Karabatsos G
    Behav Res Methods; 2017 Feb; 49(1):335-362. PubMed ID: 26956682
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A practical introduction to Bayesian estimation of causal effects: Parametric and nonparametric approaches.
    Oganisian A; Roy JA
    Stat Med; 2021 Jan; 40(2):518-551. PubMed ID: 33015870
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A novel Bayesian continuous piecewise linear log-hazard model, with estimation and inference via reversible jump Markov chain Monte Carlo.
    Chapple AG; Peak T; Hemal A
    Stat Med; 2020 May; 39(12):1766-1780. PubMed ID: 32086957
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The Central Role of Bayes' Theorem for Joint Estimation of Causal Effects and Propensity Scores.
    Zigler CM
    Am Stat; 2016 Mar; 70(1):47-54. PubMed ID: 27482121
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Combining parametric and nonparametric models to estimate treatment effects in observational studies.
    Daly-Grafstein D; Gustafson P
    Biometrics; 2023 Sep; 79(3):1986-1995. PubMed ID: 36250351
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Bayesian inference for psychometric functions.
    Kuss M; Jäkel F; Wichmann FA
    J Vis; 2005 May; 5(5):478-92. PubMed ID: 16097878
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A simple introduction to Markov Chain Monte-Carlo sampling.
    van Ravenzwaaij D; Cassey P; Brown SD
    Psychon Bull Rev; 2018 Feb; 25(1):143-154. PubMed ID: 26968853
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Estimating Optimal Weights for Compound Scores: A Multidimensional IRT Approach.
    van Lier HG; Siemons L; van der Laar MAFJ; Glas CAW
    Multivariate Behav Res; 2018; 53(6):914-924. PubMed ID: 30463444
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Estimation of causal effects of multiple treatments in observational studies with a binary outcome.
    Hu L; Gu C; Lopez M; Ji J; Wisnivesky J
    Stat Methods Med Res; 2020 Nov; 29(11):3218-3234. PubMed ID: 32450775
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A flexible approach for causal inference with multiple treatments and clustered survival outcomes.
    Hu L; Ji J; Ennis RD; Hogan JW
    Stat Med; 2022 Nov; 41(25):4982-4999. PubMed ID: 35948011
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Bayesian nonparametric approach to causal inference on quantiles.
    Xu D; Daniels MJ; Winterstein AG
    Biometrics; 2018 Sep; 74(3):986-996. PubMed ID: 29478267
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.