
Dado que la epidemiología es el estudio de la distribución, patrones y determinantes de condiciones de salud y enfermedades en una población, en este episodio hablamos sobre los diferentes tipos de estudios epidemiológicos, sus características y cómo poder inferir causalidad con ellos.
Angrist, Joshua D., y Jörn-Steffen Pischke. 2009. Mostly Harmless Econometrics: An Empiricist’s Companion. 1st edition. Princeton: Princeton University Press. link.
———. 2014. Mastering ’Metrics: The Path from Cause to Effect. With French flaps edition. Princeton ; Oxford: Princeton University Press. Link.
Centers for Disease Control and Prevention y Office of Workforce and Career Development. 2012. Principles of epidemiology in public health practice; an introduction to applied epidemiology and biostatistics. 3a ed. Self-study (Centers for Disease Control (U.S.). Training and Laboratory Program Office). Atlanta, GA 30333. https://www.cdc.gov/csels/dsepd/ss1978/index.html.
Cunningham, Scott. 2021. Causal Inference: The Mixtape. New Haven ; London: Yale University Press. https://mixtape.scunning.com/.
Ioannidis, John P. A. 2005. “Why Most Published Research Findings Are False”. PLOS Medicine2 (8): e124. https://doi.org/10.1371/journal.pmed.0020124.
Jaramillo, Dr Carlos. 2019. El milagro metabólico. Planeta Colombia. Link.
Taubes, Gary. 2016. The Case Against Sugar. 1st edition. Anchor. Link.
———. 2018. Contra el azúcar. Kairós. Link.