Common Statistical Misconceptions in Biomedical Research
As a university student who studies Statistics, I often use many statistical methods to analyze various questions that I want to research in my daily study. While there are some statistical misconceptions and improper statistical analysis methods that I did know before but was used in my past statistical researches. From the second week's materials of my statistics course, I learned some misconceptions about data analysis, especially p-hacking is appropriate, p-values covey information about effect size and the standard error of the mean quantifies variability, which inspires and interests me a lot. Afterwards, I understand more statistical misconceptions, particularly in the field of biomedicine. In the following, I plan to share some common statistical misconceptions in biomedical scientific research that I learned recently. First of all, when analyzing data from a census procedure, many researchers may use statistical inference tools inappropriately, especially hypothesis testi...
