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Articles by Hernán MA
Shedding light on a highly complex causal network in cerebral palsy
Gagliardi, L. (2026), Shedding light on a highly complex causal network in cerebral palsy. Dev Med Child Neurol. https://doi.org/10.1111/dmcn.70322 No abstract is available for this article. DATA AVAILABILITY STATEMENT Not required. REFERENCES 1, , , , , . Updated description of cerebral palsy. Dev Med Child Neurol. 2026; 68: 465–76. 2, , , , , , et al. The cerebral palsy directed acyclic graph: A structural causal model of aetiology. Dev Med Child Neurol. 2026 Apr 9. https://doi.org/10.1111/dmcn.70267.
Side Effects, Uses, Dosage, Interactions, Warnings
Medical Editor: John P. Cunha, DO, FACOEP Last updated on RxList: 9/18/2024 Related Drugs Baraclude BayHep B Copegus Engerix B Epclusa Epivir-HBV gamaSTAN Harvoni Heplisav B Incivek Infergen Nabi HB Pegasys Pegintron and Rebetol Rebetol Technivie Vemlidy Victrelis Viekira Pak Viekira XR Health Resources Related Supplements Green Tea Honey Lactoferrin Phosphatidylcholine Propolis Schisandra Taurine Zinc Twinrix User Reviews What Is Twinrix?
Marginal structural models and causal inference in epidemiology
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The imprinting effect of covid-19 vaccines: an expected selection bias in observational studies
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Evaluating metformin strategies for cancer prevention: a target trial emulation using electronic health records
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Side Effects, Uses, Dosage, Interactions, Warnings
What Is Engerix B? Engerix-B [Hepatitis B Vaccine (Recombinant)] is a vaccine used to help prevent Hepatitis B. What Are Side Effects of Engerix B? Common side effects of Engerix-B include: injection site reactions (pain, soreness, redness, swelling), fever, headache, fatigue, tiredness, irritability, sore throat, nausea, vomiting, abdominal pain, diarrhea, loss of appetite, dizziness, muscle pain, and flu-like symptoms.
Observational Studies Analyzed Like Randomized Experiments: An Application to Postmenopausal Hormone Therapy and Coronary Heart Disease
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Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available.
Ideally, questions about comparative effectiveness or safety would be answered using an appropriately designed and conducted randomized experiment. When we cannot conduct a randomized experiment, we analyze observational data. Causal inference from large observational databases (big data) can be viewed as an attempt to emulate a randomized experiment-the target experiment or target trial-that would answer the question of interest.
Does water kill? A call for less casual causal inferences.
Ann Epidemiol. 2016 Oct;26(10):674-680. doi: 10.1016/j.annepidem.2016.08.016. Epub 2016 Aug 31. Author information 1 Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA; Harvard-MIT Division of Health Sciences and Technology, Boston, MA. Electronic address: miguel_hernan@post.harvard.edu.
Counterfactual causation and streetlamps: what is to be done?
Recent criticisms of the counterfactual causation programme in epidemiology have addressed ways in which the program not only inhibits consideration of the full ranges of evidence needed to infer causation but also excludes from consideration the effects on health of large structural and societal change, by implicitly restricting both the kinds of interventions considered and the type of questions asked.
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