by Usha Govindarajulu | May 12, 2021 | Blog
Can one control for selection bias in analyses? Unfortunately selection bias is inherent to many studies, even the gold standard clinical trial designs, but these problems can be attempted to be controlled for in analyses. In COVID-19 research especially, there are...
by Usha Govindarajulu | Apr 28, 2021 | Blog
Missing data Missing data is a phenomenon that happens in almost all studies whether in observational or clinical trials. It most often occurs in studies that involve long-term follow up, where people miss different follow up visits or exit the study for various...
by Usha Govindarajulu | Apr 14, 2021 | Blog
In the article previous to this, Part I, we discussed design and statistical issues related to clinical trial designs for COVID-19 research. As part of the discussion about clinical trial designs comes along interpretation of results. As clinical trials for COVID-19...
by Usha Govindarajulu | Mar 31, 2021 | Blog
Earlier we discussed the issues in COVID-19 research related to observational studies that were used as the study design for the research, especially the early time frame of COVID-19 in the U.S. like the spring of 2020. We discussed some of the overarching issues that...
by Usha Govindarajulu | Mar 17, 2021 | Usha Govindarajulu
Doing research in COVID-19 presents many types of problems for having statistical analyses free from biases. In studies that were organized as observational studies to compare treatments or differences on some outcome between COVID-19 patients and either some type of...
