138 related articles for article (PubMed ID: 19643766)
1. Estimating the potential impacts of intervention from observational data: methods for estimating causal attributable risk in a cross-sectional analysis of depressive symptoms in Latin America.
Fleischer NL; Fernald LC; Hubbard AE
J Epidemiol Community Health; 2010 Jan; 64(1):16-21. PubMed ID: 19643766
[TBL] [Abstract][Full Text] [Related]
2. Estimating the population impact of an intervention: a decision-analytic approach.
Hersh AL; Black WC; Tosteson AN
Stat Methods Med Res; 1999 Dec; 8(4):311-30. PubMed ID: 10730336
[TBL] [Abstract][Full Text] [Related]
3. Modernizing the Bradford Hill criteria for assessing causal relationships in observational data.
Cox LA
Crit Rev Toxicol; 2018 Sep; 48(8):682-712. PubMed ID: 30433840
[TBL] [Abstract][Full Text] [Related]
4. Formulating and Answering High-Impact Causal Questions in Physiologic Childbirth Science: Concepts and Assumptions.
Snowden JM; Tilden EL; Odden MC
J Midwifery Womens Health; 2018 Nov; 63(6):721-730. PubMed ID: 29883521
[TBL] [Abstract][Full Text] [Related]
5. Isolating the effect of major depression on obesity: role of selection bias.
Dave DM; Tennant J; Colman G
J Ment Health Policy Econ; 2011 Dec; 14(4):165-86. PubMed ID: 22345359
[TBL] [Abstract][Full Text] [Related]
6. Using Propensity Scores for Causal Inference: Pitfalls and Tips.
Shiba K; Kawahara T
J Epidemiol; 2021 Aug; 31(8):457-463. PubMed ID: 34121051
[TBL] [Abstract][Full Text] [Related]
7. Transportability of Trial Results Using Inverse Odds of Sampling Weights.
Westreich D; Edwards JK; Lesko CR; Stuart E; Cole SR
Am J Epidemiol; 2017 Oct; 186(8):1010-1014. PubMed ID: 28535275
[TBL] [Abstract][Full Text] [Related]
8. Combining machine learning and propensity score weighting to estimate causal effects in multivalued treatments.
Linden A; Yarnold PR
J Eval Clin Pract; 2016 Dec; 22(6):871-881. PubMed ID: 27421786
[TBL] [Abstract][Full Text] [Related]
9. Invited commentary: G-computation--lost in translation?
Vansteelandt S; Keiding N
Am J Epidemiol; 2011 Apr; 173(7):739-42. PubMed ID: 21415028
[TBL] [Abstract][Full Text] [Related]
10. The other causality question: estimating attributable fractions for obesity as a cause of mortality.
Levine BJ
Int J Obes (Lond); 2008 Aug; 32 Suppl 3():S4-7. PubMed ID: 18695651
[TBL] [Abstract][Full Text] [Related]
11. Weighing the causal pies in case-control studies.
Liao SF; Lee WC
Ann Epidemiol; 2010 Jul; 20(7):568-73. PubMed ID: 20538201
[TBL] [Abstract][Full Text] [Related]
12. Causal identification: a charge of epidemiology in danger of marginalization.
Schwartz S; Gatto NM; Campbell UB
Ann Epidemiol; 2016 Oct; 26(10):669-673. PubMed ID: 27237595
[TBL] [Abstract][Full Text] [Related]
13. Concepts and pitfalls in measuring and interpreting attributable fractions, prevented fractions, and causation probabilities.
Greenland S
Ann Epidemiol; 2015 Mar; 25(3):155-61. PubMed ID: 25498918
[TBL] [Abstract][Full Text] [Related]
14. Testing causality in the association between regular exercise and symptoms of anxiety and depression.
De Moor MH; Boomsma DI; Stubbe JH; Willemsen G; de Geus EJ
Arch Gen Psychiatry; 2008 Aug; 65(8):897-905. PubMed ID: 18678794
[TBL] [Abstract][Full Text] [Related]
15. Multicity study of air pollution and mortality in Latin America (the ESCALA study).
Romieu I; Gouveia N; Cifuentes LA; de Leon AP; Junger W; Vera J; Strappa V; Hurtado-Díaz M; Miranda-Soberanis V; Rojas-Bracho L; Carbajal-Arroyo L; Tzintzun-Cervantes G;
Res Rep Health Eff Inst; 2012 Oct; (171):5-86. PubMed ID: 23311234
[TBL] [Abstract][Full Text] [Related]
16. Application of Standardization for Causal Inference in Observational Studies: A Step-by-step Tutorial for Analysis Using R Software.
Lee S; Lee W
J Prev Med Public Health; 2022 Mar; 55(2):116-124. PubMed ID: 35391523
[TBL] [Abstract][Full Text] [Related]
17. [Causal inference in epidemiology].
Rodríguez-Villamizar LA
Rev Salud Publica (Bogota); 2017; 19(3):409-415. PubMed ID: 30183950
[TBL] [Abstract][Full Text] [Related]
18. Invited commentary: Estimating population impact in the presence of competing events.
Naimi AI; Tchetgen Tchetgen EJ
Am J Epidemiol; 2015 Apr; 181(8):571-4. PubMed ID: 25816819
[TBL] [Abstract][Full Text] [Related]
19. Estimating the effects of potential public health interventions on population disease burden: a step-by-step illustration of causal inference methods.
Ahern J; Hubbard A; Galea S
Am J Epidemiol; 2009 May; 169(9):1140-7. PubMed ID: 19270051
[TBL] [Abstract][Full Text] [Related]
20. Estimating causal parameters without target populations.
Shahar E
J Eval Clin Pract; 2007 Oct; 13(5):814-6. PubMed ID: 17824877
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]