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Comparison Between Logistic Regression And Linear Regression

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Recently, I have learned a new statistical model called logistic regression in my statistics courses, which is used to model a binary dependent variable. This statistical model is different from linear regression, which is usually used to solve questions of simple researches. As a model I am most familiar with and most frequently used, linear regression is a linear method to model the relationship between a dependent variable and one or multiple independent variables. In the following, I am going to indicate differences between logistic regression and linear regression in several aspects.  Figure: Comparison between linear regression and logistic regression First of all, the goals of the two regression models are distinct. Linear regression aims to determine the nest fit line that can accurately show the output of a continuous dependent variable, whereas logistic regression aims to predict a categorical dependent variable based on information from one or multiple explanatory variab...
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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...
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COVID-19 Pandemic Modelling Forecasts vs. The Actual Situation in Canada

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Since the outbreak of the COVID-19 in January 2020, people have paid close attention to the trend of the epidemic and the development of vaccines. At the beginning of the outbreak of the epidemic in Toronto, the Ontario government announced that all schools would replace courses in-person with online courses. At that time, I stayed in Toronto and took my online courses at my rental houses every day. After accomplishing the last semester of my sophomore year and remote internship, I went back to my country at the end of August 2020. Now, my life is not different from my life in Toronto at the time of the outbreak of COVID-19, staying in the room and taking online courses is my daily task. It seems that the shadow of the epidemic still hangs over me.   After I return to my country, I still concern about the situation of the COVID-19 pandemic in Canada, and I want to figure out whether there exists an apparent difference between Canada's COVID-19 pandemic modelling forecasts and reali...
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