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.
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...
Develop the best logistic regression model that can predict the
wage by using the
combination of any following variables: total unit (X2),
constructed unit (X3), equipment
used (X4), city location (X5) and total cost of a project (X6).
Make sure that you partition
your data with 60% training test, 40% validation test, and default
seed of 12345 before
running the logistic regression (15 points)
Wage - X1
Total Unit - X2
Contracted Units - X3
Equipment Used - X4
City...