Stanford Radio
E161 | Lianne Kurina: How controlling confounders makes better epidemiology
- Autor: Vários
- Narrador: Vários
- Editora: Podcast
- Duração: 0:27:59
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The Future of Everything with Russ Altman: E 161 | Lianne Kurina: How controlling confounders makes better epidemiology Public health studies are among the most challenging to get right, says this expert in epidemiology. But better design can yield greater confidence. As the world has learned through the recent pandemic, epidemiological studies can be complicated by many unanticipated factors. Lianne Kurina is an expert in the design of epidemiological studies who says that the key to greater confidence is better design. The gold standard, she says, is the randomized controlled trial—a study that compares groups that are essentially identical by every apparent factor but one— the vaccinated vs. the unvaccinated, for instance. In the case of COVID-19 vaccinations, Kurina stresses that investigators did an exemplary job of this. In situations where we can't use a randomized controlled trial, achieving a similar balance and specificity is far harder. Kurina says that researchers working with observation