166 related articles for article (PubMed ID: 36429621)
21. 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]
22. Random Forests Approach for Causal Inference with Clustered Observational Data.
Suk Y; Kang H; Kim JS
Multivariate Behav Res; 2021; 56(6):829-852. PubMed ID: 32856937
[TBL] [Abstract][Full Text] [Related]
23. Preventive Effect Heterogeneity: Causal Inference in Personalized Prevention.
Howe GW
Prev Sci; 2019 Jan; 20(1):21-29. PubMed ID: 28725991
[TBL] [Abstract][Full Text] [Related]
24. Harnessing causal forests for epidemiologic research: key considerations.
Shiba K; Inoue K
Am J Epidemiol; 2024 Jun; 193(6):813-818. PubMed ID: 38319713
[TBL] [Abstract][Full Text] [Related]
25. Causal inference methods for vaccine sieve analysis with effect modification.
Yang G; Balzer LB; Benkeser D
Stat Med; 2022 Apr; 41(8):1513-1524. PubMed ID: 35044691
[TBL] [Abstract][Full Text] [Related]
26. Causal Inference Methods for Estimating Long-Term Health Effects of Air Quality Regulations.
Zigler CM; Kim C; Choirat C; Hansen JB; Wang Y; Hund L; Samet J; King G; Dominici F;
Res Rep Health Eff Inst; 2016 May; (187):5-49. PubMed ID: 27526497
[TBL] [Abstract][Full Text] [Related]
27. An algorithm for direct causal learning of influences on patient outcomes.
Rathnam C; Lee S; Jiang X
Artif Intell Med; 2017 Jan; 75():1-15. PubMed ID: 28363452
[TBL] [Abstract][Full Text] [Related]
28. Efficient targeted learning of heterogeneous treatment effects for multiple subgroups.
Wei W; Petersen M; van der Laan MJ; Zheng Z; Wu C; Wang J
Biometrics; 2023 Sep; 79(3):1934-1946. PubMed ID: 36416173
[TBL] [Abstract][Full Text] [Related]
29. Integrating Nearest Neighbors with Neural Network Models for Treatment Effect Estimation.
Kiriakidou N; Diou C
Int J Neural Syst; 2023 Jul; 33(7):2350036. PubMed ID: 37335255
[TBL] [Abstract][Full Text] [Related]
30. Recursive partitioning for heterogeneous causal effects.
Athey S; Imbens G
Proc Natl Acad Sci U S A; 2016 Jul; 113(27):7353-60. PubMed ID: 27382149
[TBL] [Abstract][Full Text] [Related]
31. Population heterogeneity and causal inference.
Xie Y
Proc Natl Acad Sci U S A; 2013 Apr; 110(16):6262-8. PubMed ID: 23530202
[TBL] [Abstract][Full Text] [Related]
32. Heterogeneous treatment effect analysis based on machine-learning methodology.
Gong X; Hu M; Basu M; Zhao L
CPT Pharmacometrics Syst Pharmacol; 2021 Nov; 10(11):1433-1443. PubMed ID: 34716669
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. 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]
35. D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias.
Ghai B; Mueller K
IEEE Trans Vis Comput Graph; 2023 Jan; 29(1):473-482. PubMed ID: 36155458
[TBL] [Abstract][Full Text] [Related]
36. The Future of Causal Inference.
Mitra N; Roy J; Small D
Am J Epidemiol; 2022 Sep; 191(10):1671-1676. PubMed ID: 35762132
[TBL] [Abstract][Full Text] [Related]
37. Rule ensemble method with adaptive group lasso for heterogeneous treatment effect estimation.
Wan K; Tanioka K; Shimokawa T
Stat Med; 2023 Aug; 42(19):3413-3442. PubMed ID: 37282988
[TBL] [Abstract][Full Text] [Related]
38. Do-search: A Tool for Causal Inference and Study Design with Multiple Data Sources.
Karvanen J; Tikka S; Hyttinen A
Epidemiology; 2021 Jan; 32(1):111-119. PubMed ID: 33181563
[TBL] [Abstract][Full Text] [Related]
39. Targeted Maximum Likelihood Estimation for Causal Inference in Observational Studies.
Schuler MS; Rose S
Am J Epidemiol; 2017 Jan; 185(1):65-73. PubMed ID: 27941068
[TBL] [Abstract][Full Text] [Related]
40. Chemical property prediction under experimental biases.
Liu Y; Kashima H
Sci Rep; 2022 May; 12(1):8206. PubMed ID: 35581358
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
