185 related articles for article (PubMed ID: 31215241)
1. The Assumptions of Direction Dependence Analysis.
Thoemmes F
Multivariate Behav Res; 2020; 55(4):516-522. PubMed ID: 31215241
[TBL] [Abstract][Full Text] [Related]
2. Sensitivity Analysis and Extensions of Testing the Causal Direction of Dependence: A Rejoinder to Thoemmes (2019).
Wiedermann W; Sebastian J
Multivariate Behav Res; 2020; 55(4):523-530. PubMed ID: 31542955
[TBL] [Abstract][Full Text] [Related]
3. Advances in Statistical Methods for Causal Inference in Prevention Science: Introduction to the Special Section.
Wiedermann W; Dong N; von Eye A
Prev Sci; 2019 Apr; 20(3):390-393. PubMed ID: 30645732
[TBL] [Abstract][Full Text] [Related]
4. Statistical approaches for enhancing causal interpretation of the M to Y relation in mediation analysis.
MacKinnon DP; Pirlott AG
Pers Soc Psychol Rev; 2015 Feb; 19(1):30-43. PubMed ID: 25063043
[TBL] [Abstract][Full Text] [Related]
5. A review of causal estimation of effects in mediation analyses.
Ten Have TR; Joffe MM
Stat Methods Med Res; 2012 Feb; 21(1):77-107. PubMed ID: 21163849
[TBL] [Abstract][Full Text] [Related]
6. Causal Diagrams: Pitfalls and Tips.
Suzuki E; Shinozaki T; Yamamoto E
J Epidemiol; 2020 Apr; 30(4):153-162. PubMed ID: 32009103
[TBL] [Abstract][Full Text] [Related]
7. Direction Dependence Analysis in the Presence of Confounders: Applications to Linear Mediation Models Using Observational Data.
Wiedermann W; Sebastian J
Multivariate Behav Res; 2020; 55(4):495-515. PubMed ID: 30977403
[TBL] [Abstract][Full Text] [Related]
8. An introduction to causal inference.
Pearl J
Int J Biostat; 2010 Feb; 6(2):Article 7. PubMed ID: 20305706
[TBL] [Abstract][Full Text] [Related]
9. Causal models and learning from data: integrating causal modeling and statistical estimation.
Petersen ML; van der Laan MJ
Epidemiology; 2014 May; 25(3):418-26. PubMed ID: 24713881
[TBL] [Abstract][Full Text] [Related]
10. Ensuring Causal, Not Casual, Inference.
Musci RJ; Stuart E
Prev Sci; 2019 Apr; 20(3):452-456. PubMed ID: 30613853
[TBL] [Abstract][Full Text] [Related]
11. [Comparison of selected causality theories].
Thoemmes F
Gesundheitswesen; 2011 Dec; 73(12):880-3. PubMed ID: 22193896
[TBL] [Abstract][Full Text] [Related]
12. Classical and causal inference approaches to statistical mediation analysis.
Ato GarcĂa M; Vallejo Seco G; Ato Lozano E
Psicothema; 2014 May; 26(2):252-9. PubMed ID: 24755028
[TBL] [Abstract][Full Text] [Related]
13. Detecting heterogeneity in the causal direction of dependence: A model-based recursive partitioning approach.
Wiedermann W; Zhang B; Shi D
Behav Res Methods; 2024 Apr; 56(4):2711-2730. PubMed ID: 37858004
[TBL] [Abstract][Full Text] [Related]
14. Mediation analysis allowing for exposure-mediator interactions and causal interpretation: theoretical assumptions and implementation with SAS and SPSS macros.
Valeri L; Vanderweele TJ
Psychol Methods; 2013 Jun; 18(2):137-50. PubMed ID: 23379553
[TBL] [Abstract][Full Text] [Related]
15. Using Directed Acyclic Graphs to detect limitations of traditional regression in longitudinal studies.
Moodie EE; Stephens DA
Int J Public Health; 2010 Dec; 55(6):701-3. PubMed ID: 20838848
[TBL] [Abstract][Full Text] [Related]
16. Effect decomposition in the presence of an exposure-induced mediator-outcome confounder.
Vanderweele TJ; Vansteelandt S; Robins JM
Epidemiology; 2014 Mar; 25(2):300-6. PubMed ID: 24487213
[TBL] [Abstract][Full Text] [Related]
17. Effect decomposition through multiple causally nonordered mediators in the presence of exposure-induced mediator-outcome confounding.
Mittinty MN; Lynch JW; Forbes AB; Gurrin LC
Stat Med; 2019 Nov; 38(26):5085-5102. PubMed ID: 31475385
[TBL] [Abstract][Full Text] [Related]
18. DAG With Omitted Objects Displayed (DAGWOOD): a framework for revealing causal assumptions in DAGs.
Haber NA; Wood ME; Wieten S; Breskin A
Ann Epidemiol; 2022 Apr; 68():64-71. PubMed ID: 35124197
[TBL] [Abstract][Full Text] [Related]
19. Improving bias and coverage in instrumental variable analysis with weak instruments for continuous and binary outcomes.
Burgess S; Thompson SG
Stat Med; 2012 Jul; 31(15):1582-600. PubMed ID: 22374818
[TBL] [Abstract][Full Text] [Related]
20. Adjusting for Baseline Measurements of the Mediators and Outcome as a First Step Toward Eliminating Confounding Biases in Mediation Analysis.
Loh WW; Ren D
Perspect Psychol Sci; 2023 Sep; 18(5):1254-1266. PubMed ID: 36749872
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]