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 *

220 related articles for article (PubMed ID: 36153493)

  • 1. Evaluating sensitivity to classification uncertainty in latent subgroup effect analyses.
    Loh WW; Kim JS
    BMC Med Res Methodol; 2022 Sep; 22(1):247. PubMed ID: 36153493
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Causal mediation analysis with latent subgroups.
    Wang W; Xu J; Schwartz J; Baccarelli A; Liu Z
    Stat Med; 2021 Nov; 40(25):5628-5641. PubMed ID: 34263963
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. A comparison of sensitivity-specificity imputation, direct imputation and fully Bayesian analysis to adjust for exposure misclassification when validation data are unavailable.
    Corbin M; Haslett S; Pearce N; Maule M; Greenland S
    Int J Epidemiol; 2017 Jun; 46(3):1063-1072. PubMed ID: 28338966
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Inference on subgroups identified based on a heterogeneous treatment effect in a post hoc analysis of a clinical trial.
    Zhao B; Ivanova A; Fine J
    Clin Trials; 2023 Aug; 20(4):370-379. PubMed ID: 37170632
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Using multiple imputation to classify potential outcomes subgroups.
    Li Y; Bondarenko I; Elliott MR; Hofer TP; Taylor JM
    Stat Methods Med Res; 2021 Jun; 30(6):1428-1444. PubMed ID: 33884937
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Causal Latent Class Analysis with Distal Outcomes: A Modified Three-Step Method Using Inverse Propensity Weighting.
    Lê TT; Clouth FJ; Vermunt JK
    Multivariate Behav Res; 2024 Jul; ():1-31. PubMed ID: 39034808
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A framework for estimating causal effects in latent class analysis: is there a causal link between early sex and subsequent profiles of delinquency?
    Butera NM; Lanza ST; Coffman DL
    Prev Sci; 2014 Jun; 15(3):397-407. PubMed ID: 23839479
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Robust inference on the average treatment effect using the outcome highly adaptive lasso.
    Ju C; Benkeser D; van der Laan MJ
    Biometrics; 2020 Mar; 76(1):109-118. PubMed ID: 31350906
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Causal inference accounting for unobserved confounding after outcome regression and doubly robust estimation.
    Genbäck M; de Luna X
    Biometrics; 2019 Jun; 75(2):506-515. PubMed ID: 30430543
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Inverse Propensity Score Weighting with a Latent Class Exposure: Estimating the Causal Effect of Reported Reasons for Alcohol Use on Problem Alcohol Use 16 Years Later.
    Bray BC; Dziak JJ; Patrick ME; Lanza ST
    Prev Sci; 2019 Apr; 20(3):394-406. PubMed ID: 29542004
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Double Robust Efficient Estimators of Longitudinal Treatment Effects: Comparative Performance in Simulations and a Case Study.
    Tran L; Yiannoutsos C; Wools-Kaloustian K; Siika A; van der Laan M; Petersen M
    Int J Biostat; 2019 Feb; 15(2):. PubMed ID: 30811344
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Causal inference with noisy data: Bias analysis and estimation approaches to simultaneously addressing missingness and misclassification in binary outcomes.
    Shu D; Yi GY
    Stat Med; 2020 Feb; 39(4):456-468. PubMed ID: 31802532
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Estimating causal effects for survival (time-to-event) outcomes by combining classification tree analysis and propensity score weighting.
    Linden A; Yarnold PR
    J Eval Clin Pract; 2018 Apr; 24(2):380-387. PubMed ID: 29230910
    [TBL] [Abstract][Full Text] [Related]  

  • 15. When does measurement error in covariates impact causal effect estimates? Analytic derivations of different scenarios and an empirical illustration.
    Sengewald MA; Steiner PM; Pohl S
    Br J Math Stat Psychol; 2019 May; 72(2):244-270. PubMed ID: 30345554
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Bootstrap Approach for Evaluating Uncertainty in the Number of Groups Identified by Latent Class Growth Models.
    Mésidor M; Sirois C; Simard M; Talbot D
    Am J Epidemiol; 2023 Nov; 192(11):1896-1903. PubMed ID: 37386696
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Minimizing bias in massive multi-arm observational studies with BCAUS: balancing covariates automatically using supervision.
    Belthangady C; Stedden W; Norgeot B
    BMC Med Res Methodol; 2021 Sep; 21(1):190. PubMed ID: 34544367
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Understanding and diagnosing the potential for bias when using machine learning methods with doubly robust causal estimators.
    Bahamyirou A; Blais L; Forget A; Schnitzer ME
    Stat Methods Med Res; 2019 Jun; 28(6):1637-1650. PubMed ID: 29717941
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Estimating the burden of occupational cancer: assessing bias and uncertainty.
    Hutchings S; Rushton L
    Occup Environ Med; 2017 Aug; 74(8):604-611. PubMed ID: 28416642
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 11.