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.
3. Compound treatments, transportability, and the structural causal model: the power and simplicity of causal graphs. Petersen ML Epidemiology; 2011 May; 22(3):378-81. PubMed ID: 21464653 [No Abstract] [Full Text] [Related]
4. Heeding the call for less casual causal inferences: the utility of realized (quantitative) causal effects. Schwartz S; Gatto NM; Campbell UB Ann Epidemiol; 2017 Jun; 27(6):402-405. PubMed ID: 28641760 [No Abstract] [Full Text] [Related]
5. Causation, bias and confounding: a hitchhiker's guide to the epidemiological galaxy Part 2. Principles of causality in epidemiological research: confounding, effect modification and strength of association. Shapiro S J Fam Plann Reprod Health Care; 2008 Jul; 34(3):185-90. PubMed ID: 18577320 [No Abstract] [Full Text] [Related]
6. Analytic epidemiology and periodontal diseases. Heaton B; Dietrich T Periodontol 2000; 2012 Feb; 58(1):112-20. PubMed ID: 22133370 [No Abstract] [Full Text] [Related]
7. Caution: work in progress : While the methodological "revolution" deserves in-depth study, clinical researchers and senior epidemiologists should not be disenfranchised. Porta M; Bolúmar F Eur J Epidemiol; 2016 Jun; 31(6):535-9. PubMed ID: 27417978 [No Abstract] [Full Text] [Related]
8. [Interpretation of epidemiologic studies. Type of study, elements of bias, causality]. Touzet S; Colin C Rev Prat; 1999 Oct; 49(16):1797-804. PubMed ID: 10578612 [No Abstract] [Full Text] [Related]
9. Use of the self-controlled case-series method in vaccine safety studies: review and recommendations for best practice. Weldeselassie YG; Whitaker HJ; Farrington CP Epidemiol Infect; 2011 Dec; 139(12):1805-17. PubMed ID: 21849099 [TBL] [Abstract][Full Text] [Related]
10. [Confounding variables in observational studies and their influence on obtained results]. Moczko JA Przegl Lek; 2009; 66(10):857-60. PubMed ID: 20301954 [TBL] [Abstract][Full Text] [Related]
11. Strengthening the reliability and credibility of observational epidemiology studies by creating an Observational Studies Register. Swaen GM; Carmichael N; Doe J J Clin Epidemiol; 2011 May; 64(5):481-6. PubMed ID: 20643528 [TBL] [Abstract][Full Text] [Related]
12. Causal effects in clinical and epidemiological studies via potential outcomes: concepts and analytical approaches. Little RJ; Rubin DB Annu Rev Public Health; 2000; 21():121-45. PubMed ID: 10884949 [TBL] [Abstract][Full Text] [Related]
13. Causal theory and the etiology of periodontal diseases. Heaton B; Dietrich T Periodontol 2000; 2012 Feb; 58(1):26-36. PubMed ID: 22133365 [No Abstract] [Full Text] [Related]
14. Observational studies of drugs and mortality. Ray WA N Engl J Med; 2005 Dec; 353(22):2319-21. PubMed ID: 16319379 [No Abstract] [Full Text] [Related]
16. Current guidelines on good reporting of analytical observational studies in epidemiology. Boden LA; Parkin TD Equine Vet J; 2008 Jan; 40(1):84-6. PubMed ID: 18083665 [No Abstract] [Full Text] [Related]
17. Issues in the design of molecular and genetic epidemiologic studies. Fowke JH J Prev Med Public Health; 2009 Nov; 42(6):343-8. PubMed ID: 20009479 [TBL] [Abstract][Full Text] [Related]
18. Outcome reporting bias in observational epidemiology studies on phthalates. Swaen GMH; Urlings MJE; Zeegers MP Ann Epidemiol; 2016 Aug; 26(8):597-599.e4. PubMed ID: 27545753 [No Abstract] [Full Text] [Related]
19. The current deconstruction of paradoxes: one sign of the ongoing methodological "revolution". Porta M; Vineis P; Bolúmar F Eur J Epidemiol; 2015 Oct; 30(10):1079-87. PubMed ID: 26164615 [TBL] [Abstract][Full Text] [Related]
20. Unmeasured confounding in pharmacoepidemiology. Groenwold RH; de Groot MC; Ramamoorthy D; Souverein PC; Klungel OH Ann Epidemiol; 2016 Jan; 26(1):85-6. PubMed ID: 26559329 [No Abstract] [Full Text] [Related] [Next] [New Search]