Course will Started in 17-18 and 22-23 December 2010
Instructor: Dr. Siswanto Agus Wilopo, SU, M.Sc. ScD
Description Course:
This is a there credit course intended for graduate students pursuing degrees in a Master or Doctorate Degree in Health Science. Topics covered will include linear, logistic, poison, and Cox regression. Estimation, interpretation, and diagnostic approaches will discussed
Course Objectives:
Upon successful completion of the course, the student will be able to:
– Apply, interpret and diagnose linear regression models
– Apply, interpret and diagnose logistic, poison and Cox regression on models
Topic of Course:
Instructor: Dr. Siswanto Agus Wilopo, SU, M.Sc. ScD
Description Course:
This is a there credit course intended for graduate students pursuing degrees in a Master or Doctorate Degree in Health Science. Topics covered will include linear, logistic, poison, and Cox regression. Estimation, interpretation, and diagnostic approaches will discussed
Course Objectives:
Upon successful completion of the course, the student will be able to:
– Apply, interpret and diagnose linear regression models
– Apply, interpret and diagnose logistic, poison and Cox regression on models
Topic of Course:
- Introduction to regression: simple linear regresion (SLR)
- Linear model properties; software tutorial
- Inferences and assumption checking in SLR
- SLR Diagnostics
- Inferences in SLR
- Diagnostics (continued); correlation intro to
- Multiple regression
- Hypothesis testing in MLR
- MLR
- Forms for predictors interactions
- F-test and Anova; F-tests and Coefficients of Determination
- Multicollinearity
- MLR Model Building
- MLR diaagnostics
- MLR example
- Introduction to logistics regression; link functions
- Likelihood ratio tests and deviance
- Goodness of fit, information criteria
- ROC analysis
- Logistic regression for case control studies
- Logistic regression example
- Ordinal Logistic regression
- Introduction to Survival analysis
- Survival analysis
- Cox regression
- Cox regression example
- Poisson regression
- Random effects models
Registration:
Participants should register by email or phone in the following address:
Ms. Utami Dwiastuti/Ms. Antini Kurniawati
Maternal and Child Health – Reproductive Health Division, Department of Public Health
Faculty of Medicine, Gadjah Mada University
IKM Building 1st Floor, Room 110
Phone/Fax (0274)565076 or 548156