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.
7. Measurement error, time lag, unmeasured confounding: Considerations for longitudinal estimation of the effect of a mediator in randomised clinical trials. Goldsmith KA; Chalder T; White PD; Sharpe M; Pickles A Stat Methods Med Res; 2018 Jun; 27(6):1615-1633. PubMed ID: 27647810 [TBL] [Abstract][Full Text] [Related]
8. [Application of directed acyclic graphs in identifying and controlling confounding bias]. Liu HX; Wang HB; Wang N Zhonghua Liu Xing Bing Xue Za Zhi; 2020 Apr; 41(4):585-588. PubMed ID: 32344486 [TBL] [Abstract][Full Text] [Related]
9. Analysis of nonintervention studies: technical supplement. Aickin M Perm J; 2012; 16(4):e100-20. PubMed ID: 23251125 [TBL] [Abstract][Full Text] [Related]
10. Bounds for pure direct effect. Tchetgen Tchetgen EJ; Phiri K Epidemiology; 2014 Sep; 25(5):775-6. PubMed ID: 25076155 [No Abstract] [Full Text] [Related]
11. Causal models adjusting for time-varying confounding-a systematic review of the literature. Clare PJ; Dobbins TA; Mattick RP Int J Epidemiol; 2019 Feb; 48(1):254-265. PubMed ID: 30358847 [TBL] [Abstract][Full Text] [Related]
12. Some old and some new statistical tools for outcomes research. Normand SL Circulation; 2008 Aug; 118(8):872-84. PubMed ID: 18711024 [No Abstract] [Full Text] [Related]
13. Interpretation of subgroup analyses in randomized trials: heterogeneity versus secondary interventions. VanderWeele TJ; Knol MJ Ann Intern Med; 2011 May; 154(10):680-3. PubMed ID: 21576536 [TBL] [Abstract][Full Text] [Related]
14. Sources of confounding in life course epidemiology. Santos S; Zugna D; Pizzi C; Richiardi L J Dev Orig Health Dis; 2019 Jun; 10(3):299-305. PubMed ID: 30111382 [TBL] [Abstract][Full Text] [Related]
15. The difference between effect modification and covariate confounding. Marlin N; Allotey J BJOG; 2021 Sep; 128(10):1574. PubMed ID: 33729677 [No Abstract] [Full Text] [Related]
16. How to implement directed acyclic graphs to reduce bias in addiction research. Wouk K; Bauer AE; Gottfredson NC Addict Behav; 2019 Jul; 94():109-116. PubMed ID: 30292573 [No Abstract] [Full Text] [Related]
17. [Preparation of data for based on various research--application of statistical methods]. Tango T Nihon Shokakibyo Gakkai Zasshi; 1998 May; 95(5):412-8. PubMed ID: 9696637 [No Abstract] [Full Text] [Related]
18. Response to comments on 'the use of propensity scores and observational data to estimate randomized controlled trial generalizability bias'. Kaizar EE; Vydra TP Stat Med; 2014 Feb; 33(3):538-9. PubMed ID: 24395075 [No Abstract] [Full Text] [Related]