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...
by Usha Govindarajulu | Mar 3, 2021 | Biostatistics, Blog, Epidemiology, New York, Professor, Usha Govindarajulu
As of right now, this is what we know about serious safety concerns raised about these COVID-19 vaccines: the mRNA vaccines, Pfizer© and Moderna©, the Johnson & Johnson©vaccine, and the Oxford/Astrazeneca© vaccine. These are the current vaccines with...
