Issues in COVID-19 research and statistical analyses (Part IX)
With all the news about vaccine efficacy and how long the effects of the vaccine will last, it is interesting to wonder how the statistical models to detect such effects are designed for such research . In the Khoury et al paper (2020), they do consider the decay of...
Issues in COVID-19 research and statistical analyses (Part VIII)
These vaccine rates are being re-updated and re-analyzed, but not very much is discussed about how these rates are constantly analyzed and assessed.
Issues in COVID-19 research and statistical analyses (Part VII)
During the times of uncertainty in statistical methods used in COVID-19 research. Were Bayesian methods employed much in these contexts?
Issues in COVID-19 research and statistical analysis (Part VI)
P-values and vaccine efficacy As the companies continue to re-evaluate vaccine efficacy against new variants, have they discussed p-values? Are they analyzing re-updated data again and again and correcting for inflation of the Type I error rate?? Given the...
Issues in COVID-19 research and statistical analyses (Part V)
COVID-19 challenges of publishing statistically relevant studies COVID-19 is a tricky period in which to attempt to publish new studies. Criticism came from reviewers and those reading the articles whether or not one showed negative results or positive results from...
Issues in COVID-19 research and statistical analyses (Part IV)
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...
Issues in COVID-19 research and statistical analyses (Part III)
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...
Issues in COVID-19 research and statistical analyses (Part II)
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...
Issues in COVID-19 research and statistical analyses (Part 1)
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...
Issues in COVID-19 research and statistical analyses
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...