August 26 - 29, 2019
This course is intended to improve participant's ability to conduct regression analyses and study the relationship between response variable and multiple predictor variables. This course is also intended to sharpen the skills of analyzing binary outcome data and interpreting regression coefficients.
This course is targeted towards epidemiologist, biostatisticians, Demographers and other medical researchers.
WHY SHOULD SOMEONE ATTEND
The primary bio-statistical tools in modern medical research are single-outcome, multiple-predictor methods: multiple linear regressions for continuous outcomes, logistic regression for binary outcomes, and the Cox proportional hazards model for time-to-event outcomes. Applying these methods and interpreting the results requires some introduction. However, introductory statistics courses have no time to spend on such topics. And therefore often neglected or misused by the researchers. The Logistics regression and Survival analyses modules are time tested and the concepts of Cox Proportional hazard model is made simple and understandable. The diagnostics to study whether the model fits the data will also be imparted though good and bad examples.
The course will be held at New Examination Hall,
Bagayam Campus, Adjacent to Canteen
Christian Medical College, Bagayam, Vellore 632 002.
Course Fee: RS. 10,000/- (Inclusive of 18% GST)
have to bear their own expenses for travel, boarding and lodging. The
Organizers will provide Lunch and Snacks. However, the organizers may
arrange basic accommodation with A/C facility in the college campus on
request. Only limited accommodation is available on campus and priority
will be given to the female participants.
Course Fee should be paid in full by August 19, 2019.
Payment can be made by Demand Draft in favor of “Christian Medical College Vellore Association Account”, payable at Vellore.
The number of participants for each course is limited to 45 and admission will be purely on first come first served basis.
Note: After Registration, if cancelled, the course fee will not be refunded