Apolo

Atividade

114124 - Confundidores, mediadores e modificadores de efeito: aplicação de conceitos essenciais para a inferência causal em Epidemiologia

Período da turma:

29/01/2024 a 02/02/2024

Selecione um horário para exibir no calendário:

Descrição:

Ementa:
1. Visão geral dos conceitos de causalidade e confusão.
2. Estratégias para identificar confundidores e métodos para controlar a confusão.
3. Mediadores, o conceito da análise hierarquizada.
4. Viés de colisão (collider bias).
5. Modificação de efeito – interação.
6. Exercícios práticos utilizando o programa STATA.

Referências:
1. Gordis, L. Epidemiology. (ELSEVIER, 2014).
2. Kleinbaum DG, Kupper LL, Nizam A, M. K. Classification of Variables and the Choice of Analysis. in Applied Regression Analysis And Other Multivariable Methods. (ed. Kleinbaum DG, Kupper LL, Nizam A, M. K.) 7–13 (Brooks/Cole Cengage Learning, 2008).
3. Victora, C. G., Huttly, S. R., Fuchs, S. C. & Olinto, M. T. A. The role of conceptual frameworks in epidemiological analysis: A hierarchical approach. Int. J. Epidemiol. 26, 224–227 (1997).
4. Hernan, M. A., Hernández-Díaz, S., Werler, M. M. & Mitchell, A. A. Causal Knowledge as a Prerequisite for Confounding Evaluation: An Application to Birth Defects Epidemiology. Am. J. Epidemiol. 155, 176–184 (2002).
5. Suttorp, M. M., Siegerink, B., Jager, K. J., Zoccali, C. & Dekker, F. W. Graphical presentation of confounding in directed acyclic graphs. Nephrol Dial Transpl. 30, 1418–1423 (2015).
6. Textor, J., Van Der Zander, B., Gilthorpe, M. S., Li Skiewicz, M. & Ellison, G. T. Robust causal inference using directed acyclic graphs: the R package ‘dagitty’. Int. J. Epidemiol. 1887–94 (2016) doi:10.1093/ije/dyw341.
7. Corraini, P., Olsen, M., Pedersen, L., Dekkers, O. M. & Vandenbroucke, J. P. Effect modification, interaction and mediation: An overview of theoretical insights for clinical investigators. Clin. Epidemiol. 9, (2017).
8. Cole, S. R. et al. Illustrating bias due to conditioning on a collider. Int. J. Epidemiol. 39, 417–420 (2010).
9. Rothman, K. J., Greenland, S. & Stat, C. Causation and Causal Inference in Epidemiology. Am. J. Public Heal. | Suppl. 1, (2005).
10. Maldonado, G. & Greenland, S. Estimating causal effects. Int. J. Epidemiol. 31, 422–429 (2002).
11. Greenland, S. & Morgenstern, H. Confounding in health research. Public Health vol. 22 (2001).
12. Greenland, S. & Pearce, N. Statistical Foundations for Model-Based Adjustments. Annu. Rev. Public Health 36, 89–108 (2015).
13. Diaz-quijano, F. A. Regresiones aplicadas al estudio de eventos discretos en epidemiología. Rev Univ Ind Santander Salud 48, 9–15 (2016).
14. Hoffmann, J. P. Regression models for categorical, count, and related variables : an applied approach. (University of California Press, 2016).
15. Lederer, D. J. et al. Control of Confounding and Reporting of Results in Causal Inference Studies: Guidance for Authors from Editors of Respiratory, Sleep, and Critical Care Journals. Ann. Am. Thorac. Soc. 16, AnnalsATS.201808-564PS (2018).
16. Digitale, J. C., Martin, J. N. & Glymour, M. M. Tutorial on directed acyclic graphs. J. Clin. Epidemiol. 8–11 (2021) doi:10.1016/j.jclinepi.2021.08.001.
17. Richiardi, L., Bellocco, R. & Zugna, D. Mediation analysis in epidemiology: methods, interpretation and bias. Int. J. Epidemiol. 42, 1511–1519 (2013).
18. Munafò, M. R., Tilling, K., Taylor, A. E., Evans, D. M. & Davey Smith, G. Collider scope: when selection bias can substantially influence observed associations. Int. J. Epidemiol. 47, 226–235 (2018).
19. Knol, M. J. & Vanderweele, T. J. Recommendations for presenting analyses of effect modification and interaction. Int. J. Epidemiol. 41, 514–20 (2012).
20. Vanderweele, T. J. & Knol, M. J. A Tutorial on Interaction. Epidemiol. Methods 3, 33–72 (2014).
21. VanderWeele, T. J., Lash, T. L. & Rothman, K. J. Analysis of Interaction. in Modern Epidemiology (eds. Lash, T. L., VanderWeele, T. J., Haneuse, S. & Rothman, K. J.) 619–653 (Wolters Kluwer -- Medknow Publications, 2021).
22. Schwartz, S. Modern Epidemiologic Approaches to Interaction: Applications to the Study of Genetic Interactions. in Genes, Behavior, and the Social Environment: Moving Beyond the Nature/Nurture Debate. (National Academies Press (US), 2006).

Carga Horária:

20 horas

Tipo:

Obrigatória

Vagas oferecidas:

Ministrantes:

Fredi Alexander Diaz Quijano

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