This course introduces students to the practice and application of logistic regression modeling for binary outcomes. Students will fit, evaluate, and interpret binary data models arising from epidemiological studies, clinical trials, or other application areas.
Topics include assessment of confounding and effect modification, use of indicator variables, model building methods, goodness-of-fit assessment, presentation of logistic regression models for reports and publications, and an introduction to conditional and ordinal logistic regression. Data sets from the medical and public health literature will be used as case studies to be analyzed using the Stata%AE statistical package.
Period
04-06-2012 - 09-06-2012 (1 weeks)
Target group
Physicians, clinicians and public health professionals from public and private institutions who are looking for systematic training in the principles of epidemiology and biostatistics, or epidemiology applied to health care planning and evaluation. Students in biostatistics and epidemiology, and researchers both from public and private institutions who wish to increase their familiarity with quantitative methods or to deepen their knowledge of a specific area of interest.
Course aim
Introduces to the practice and application of logistic regression modeling. Topics: assessment of confounding and effectmodification, use of indicator variables, model building methods, goodness-of-fit assessment.
Credits
0.0 ECTS credits
Course fee
EUR 1150: For Students. Registration before 31 March 2012.After 31 March 2012 1,350.
EUR 1250: Registration before 31 March 2012. After 31 March 2012 1,450.
The registration fee includes only the course tuition. Fees depend on whether the applicant is currently a student at an accredited university, or not, number of weeks, and the timing of enrollment.
Course leader
D. Wypij
Scholarships
A limited number of Scholarships are available.Scholarships cover the cost of tuition, for at most one week. Only registered students may apply. The request to be considered for a scholarship should be communicated no later than March 1, 2012.
Harvard University and Karolinska Institutet
Address: Aging Research Center, Karolinska Institutet Gavlegatan 16, Stockholm, Sweden
Postal code: SE-113 30
City: Castello Brandolini Colomban, Cison di Valmarino - Treviso - ITALY
Country: Italy
Website: http://www.biostatepi.org/
E-mail: bioepiedu@ki.se
Phone: +46 8 690 5368
Applied Logistic Regression
