This course is designed to teach the advanced topics (logistic regression) in quantitative methods with applications in public health. After finishing this course, students will understand the formulation of logistic regression models, estimation and interpretion of results. They will also learn, how to use the models in practice forscientific publication in international journals, interact effectively with professional biostatisticians in collaborative endeavors. The course will cover binary logistic regression, conditional logistic regression, multi-nomial and ordinal logistic regression models.
The students will be guided through in-class lectures on different topics of Logistic Regression Models. In addition to that, they will get access to books, literature and other resources that will help them to clarify the issues discussed in the classroom sessions. Computer packages will be used throughout the course and students will learn how to use software (SPSS, STATA) to analyze the data.
It is the student’s responsibility to attend the class. Regular class
attendance is mandatory. Grades allocated for class attendance and
participation will be proportionately taken off due to missed classes.
According to IUB policy, students must enter the classroom within the
first 15 minutes of the class to get the attendance submitted.
The date and syllabus of class assignment, midterm and final exam is
already given here, however, announcements will bemade ahead of time.
There is NO provision for make-up exams except emergency.
The class materials for each class will be given prior to that class so
that student may have a cursory look into the materials. Course will be
uploaded in the IUB Course Management and Operating System (CMOS)
website ahead of the class.
Students may take tutorials with the instructor during the office hours.
Prior appointment is required.
Students must maintain the IUB code of conduct and ethical guidelines
offered by the school of Public Health.
Plagiarism – that is, the presentation of another person’s thoughts or words as student’s own without appropriate acknowledgement–must be strictly avoided. Cheating and plagiarism on exam and assignments are unacceptable.
Awarding of Incomplete or ‘I’ grades should be strongly discouraged. ‘I’ will only be allowed for students who have a valid reason (ascertained by the senior management). In situations where the student is unable to complete the course due to unanticipated illness or family emergency and has not attended at least 75% of the classes held, he/she will be asked to withdraw from that course and repeat it. In unavoidable circumstances where students have completed 75% of the classes but are unable to continue (due to illness or family emergency), incomplete grade of ‘I’ may be granted. Incomplete course has to be completed by the end of the next semester, otherwise grade ‘I’ automatically becomes grade ‘F’. The student is not required to register for the course in the next semester.
A ‘W’ grade means withdrawal. A student may decide to withdraw from a course by the University wide deadline. Students must apply to the Program Office for withdrawal from a course with the permission of the concerned course instructor, Academic Advisor, and the Dean. Withdrawal from only one course in a semester is allowed but the students should provide valid reason along with documents while applying for the withdrawal.
A student can misses a maximum of 8 classes for a particular
course. After that the course will be automatically withdrawn. A student
automatically withdrawn from a course will NOT be allowed to UNDO it under any
Change of grade is strongly discouraged. However, an
instructor may request a change of grade when a computational or procedural
error occurred in the original assignment of a grade. Instructor must submit the
‘Grade Change Form’ to the respective program office within one month of
submitting the final grade rolls. A Grade change has to be requested within 1
month of the day of publishing the grades.