Discuss the applications of Binary Logistic Regression in Clinical Research using the case study given in the(Application of Binary Logistic Regression in Clinical Research) in a brief manner with a maximum length of two pages
If a dependent variable is binary, is it optimal to use linear
regression or logistic regression? Explain your answer and include
the theoretical and practical concerns associated with each
regression model. Provide a business-related example to illustrate
your ideas.
Regression Assumptions
Below are some assumptions we must meet for regression. In one
or two sentences, explain what each means.
Correctly specified model?
Linearity?
Minimum multicollinearity?
Homoscedastic distribution of errors?
Fit a binary logistic regression model with admission decision
as the dependent variable, GRE and GPA as the independent
variables.
Evaluate the goodness of fit of the model.
Determine the significance of independent variables.
Interpret odds ratios for independent variables.
State the binary logistic regression equation.
Evaluate the classification accuracy of the model.
Check if the residuals are independent.
Admit
GRE
GPA
0
790
1
1
370
0
1
480
1
1
580
1
1
620
1
0
740
0...