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.
27. Identifying and Addressing Confounding Bias in Violence Prevention Research. Ranapurwala SI Curr Epidemiol Rep; 2019 Jun; 6(2):200-207. PubMed ID: 32322458 [TBL] [Abstract][Full Text] [Related]
28. Use of directed acyclic graphs (DAGs) to identify confounders in applied health research: review and recommendations. Tennant PWG; Murray EJ; Arnold KF; Berrie L; Fox MP; Gadd SC; Harrison WJ; Keeble C; Ranker LR; Textor J; Tomova GD; Gilthorpe MS; Ellison GTH Int J Epidemiol; 2021 May; 50(2):620-632. PubMed ID: 33330936 [TBL] [Abstract][Full Text] [Related]
29. [Causal Inference in Medicine Part II. Directed acyclic graphs--a useful method for confounder selection, categorization of potential biases, and hypothesis specification]. Suzuki E; Komatsu H; Yorifuji T; Yamamoto E; Doi H; Tsuda T Nihon Eiseigaku Zasshi; 2009 Sep; 64(4):796-805. PubMed ID: 19797848 [TBL] [Abstract][Full Text] [Related]
30. An Introduction to Causal Diagrams for Anesthesiology Research. Gaskell AL; Sleigh JW Anesthesiology; 2020 May; 132(5):951-967. PubMed ID: 32287160 [TBL] [Abstract][Full Text] [Related]
31. Why match? Investigating matched case-control study designs with causal effect estimation. Rose S; Laan MJ Int J Biostat; 2009 Jan; 5(1):Article 1. PubMed ID: 20231866 [TBL] [Abstract][Full Text] [Related]
32. Model Averaging for Improving Inference from Causal Diagrams. Hamra GB; Kaufman JS; Vahratian A Int J Environ Res Public Health; 2015 Aug; 12(8):9391-407. PubMed ID: 26270672 [TBL] [Abstract][Full Text] [Related]
33. On the definition of a confounder. VanderWeele TJ; Shpitser I Ann Stat; 2013 Feb; 41(1):196-220. PubMed ID: 25544784 [TBL] [Abstract][Full Text] [Related]
34. Causal graphical views of fixed effects and random effects models. Kim Y; Steiner PM Br J Math Stat Psychol; 2021 May; 74(2):165-183. PubMed ID: 33063334 [TBL] [Abstract][Full Text] [Related]
35. The Future Strikes Back: Using Future Treatments to Detect and Reduce Hidden Bias. Elwert F; Pfeffer FT Sociol Methods Res; 2022 Aug; 51(3):1014-1051. PubMed ID: 36016698 [TBL] [Abstract][Full Text] [Related]
36. "Toward a clearer definition of confounding" revisited with directed acyclic graphs. Howards PP; Schisterman EF; Poole C; Kaufman JS; Weinberg CR Am J Epidemiol; 2012 Sep; 176(6):506-11. PubMed ID: 22904203 [TBL] [Abstract][Full Text] [Related]
37. Avoiding overadjustment bias in social epidemiology through appropriate covariate selection: a primer. van Zwieten A; Tennant PWG; Kelly-Irving M; Blyth FM; Teixeira-Pinto A; Khalatbari-Soltani S J Clin Epidemiol; 2022 Sep; 149():127-136. PubMed ID: 35662623 [TBL] [Abstract][Full Text] [Related]
38. Instrumental variables as bias amplifiers with general outcome and confounding. Ding P; VanderWeele TJ; Robins JM Biometrika; 2017 Jun; 104(2):291-302. PubMed ID: 29033459 [TBL] [Abstract][Full Text] [Related]
39. Directed acyclic graphs: An under-utilized tool for child maltreatment research. Austin AE; Desrosiers TA; Shanahan ME Child Abuse Negl; 2019 May; 91():78-87. PubMed ID: 30836237 [TBL] [Abstract][Full Text] [Related]
40. Use of Causal Diagrams to Inform the Design and Interpretation of Observational Studies: An Example from the Study of Heart and Renal Protection (SHARP). Staplin N; Herrington WG; Judge PK; Reith CA; Haynes R; Landray MJ; Baigent C; Emberson J Clin J Am Soc Nephrol; 2017 Mar; 12(3):546-552. PubMed ID: 27553952 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]