[caption id="attachment_6304" align="alignright" width="300"] Dr. Carole Lunny[/caption] In this presentation, Dr. Lunny described tools that are currently used to assess the quality and risk of bias in systematic reviews with or without meta-analysis, and justify why...
Early on during the COVID-19 pandemic, researchers had tremendous difficulty understanding the lethality of the novel corona virus. In this talk I review the main reasons why estimating the infection fatality rate (IFR) is so...
It is a common bromide that a meta-analysis is more statistically powerful than any one constituent study. In reality, however, the situation is far more complicated. In this talk, I briefly review the concept of...
Missing data, particularly on primary outcomes, presents a dilemma to researchers, not only because it may lead to lower than anticipated sample sizes and statistical power, but more seriously because missing data is often non-random...