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 *

207 related articles for article (PubMed ID: 30770453)

  • 1. Metalearners for estimating heterogeneous treatment effects using machine learning.
    Künzel SR; Sekhon JS; Bickel PJ; Yu B
    Proc Natl Acad Sci U S A; 2019 Mar; 116(10):4156-4165. PubMed ID: 30770453
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Principled estimation and evaluation of treatment effect heterogeneity: A case study application to dabigatran for patients with atrial fibrillation.
    Xu Y; Bechler K; Callahan A; Shah N
    J Biomed Inform; 2023 Jul; 143():104420. PubMed ID: 37328098
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Personalized optimal nutrition lifestyle for self obesity management using metaalgorithms.
    Chen S; Dai Y; Ma X; Peng H; Wang D; Wang Y
    Sci Rep; 2022 Jul; 12(1):12387. PubMed ID: 35858966
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A SEMIPARAMETRIC MODELING APPROACH USING BAYESIAN ADDITIVE REGRESSION TREES WITH AN APPLICATION TO EVALUATE HETEROGENEOUS TREATMENT EFFECTS.
    Zeldow B; Lo Re V; Roy J
    Ann Appl Stat; 2019 Sep; 13(3):1989-2010. PubMed ID: 33072236
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Heterogeneous treatment effects analysis for social scientists: A review.
    Hu A
    Soc Sci Res; 2023 Jan; 109():102810. PubMed ID: 36470639
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Stan and BART for Causal Inference: Estimating Heterogeneous Treatment Effects Using the Power of Stan and the Flexibility of Machine Learning.
    Dorie V; Perrett G; Hill JL; Goodrich B
    Entropy (Basel); 2022 Dec; 24(12):. PubMed ID: 36554187
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Estimating heterogeneous survival treatment effect in observational data using machine learning.
    Hu L; Ji J; Li F
    Stat Med; 2021 Sep; 40(21):4691-4713. PubMed ID: 34114252
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparison of machine learning clustering algorithms for detecting heterogeneity of treatment effect in acute respiratory distress syndrome: A secondary analysis of three randomised controlled trials.
    Sinha P; Spicer A; Delucchi KL; McAuley DF; Calfee CS; Churpek MM
    EBioMedicine; 2021 Dec; 74():103697. PubMed ID: 34861492
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine learning-based causal models for predicting the response of individual patients to dexamethasone treatment as prophylactic antiemetic.
    Mizuguchi T; Sawamura S
    Sci Rep; 2023 May; 13(1):7549. PubMed ID: 37161041
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Practical Guide to Honest Causal Forests for Identifying Heterogeneous Treatment Effects.
    Jawadekar N; Kezios K; Odden MC; Stingone JA; Calonico S; Rudolph K; Zeki Al Hazzouri A
    Am J Epidemiol; 2023 Jul; 192(7):1155-1165. PubMed ID: 36843042
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Bayesian Additive Regression Trees using Bayesian Model Averaging.
    Hernández B; Raftery AE; Pennington SR; Parnell AC
    Stat Comput; 2018 Jul; 28(4):869-890. PubMed ID: 30449953
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development and validation of a meta-learner for combining statistical and machine learning prediction models in individuals with depression.
    Liu Q; Salanti G; De Crescenzo F; Ostinelli EG; Li Z; Tomlinson A; Cipriani A; Efthimiou O
    BMC Psychiatry; 2022 May; 22(1):337. PubMed ID: 35578254
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Heterogeneous ensemble learning for enhanced crash forecasts - A frequentist and machine learning based stacking framework.
    Ahmad N; Wali B; Khattak AJ
    J Safety Res; 2023 Feb; 84():418-434. PubMed ID: 36868672
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Bayesian optimization tunning integrated multi-stacking classifier framework for the prediction of radiodermatitis from 4D-CT of patients underwent breast cancer radiotherapy.
    Wu K; Miu X; Wang H; Li X
    Front Oncol; 2023; 13():1152020. PubMed ID: 37384290
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Super learning: an application to the prediction of HIV-1 drug resistance.
    Sinisi SE; Polley EC; Petersen ML; Rhee SY; van der Laan MJ
    Stat Appl Genet Mol Biol; 2007; 6():Article7. PubMed ID: 17402922
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Constructing a predictive model for the death risk of patients with septic shock based on supervised machine learning algorithms].
    Xie Z; Jin J; Liu D; Lu S; Yu H; Han D; Sun W; Huang M
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 Apr; 36(4):345-352. PubMed ID: 38813626
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Using Machine Learning to Individualize Treatment Effect Estimation: Challenges and Opportunities.
    Curth A; Peck RW; McKinney E; Weatherall J; van der Schaar M
    Clin Pharmacol Ther; 2024 Apr; 115(4):710-719. PubMed ID: 38124482
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Estimating treatment effects with machine learning.
    McConnell KJ; Lindner S
    Health Serv Res; 2019 Dec; 54(6):1273-1282. PubMed ID: 31602641
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.