yazokulu3

 

Epidemiologic Methods konulu 3. Yazokulumuz 4-6 Haziran 2012 tarihlerinde yapılmıştır.

Epidemiologic Methods
Principal Lecturers: Professor Dankmar Böhning (DB), Dr Stefanie Biedermann (SB) and Mr. James Gallagher (JG)
Organizers: Professor Fikret Ikiz, Dr Mehmet Orman, Dr Timur Köse

 

KONUŞMACILAR

Professor Dankmar Böhning
School of Mathematics and Soton Statistic Sciences Research Institute, University of Southampton

Dr. Stefanie Biedermann
School of Mathematics, University of Southampton

Mr. James Gallagher
Statistical Services Center, University of Reading

 

PROGRAM

Day 1: Monday, 4 June 2012

8.45 Welcome and opening ceremony
9.00-10.30 
L1: Introduction to Epidemiology  and Study types: cross-sectional, cohort and longitudinal, case-control and retrospective, matched case control (DB)
L2: Measures of disease occurrence: prevalence, incidence, incidence density, morbidity and mortality (DB)
10.30-11.00  Break
11.00-12.30 
P1: Introduction to STATA for epidemiological applications (JG, DB, SB)
12.30-14.00 Lunch
14.00 -15.00
L3: Direct standardization with examples in STATA (DB)
15.00-15.30 Break
15.30-17.00
L4: Indirect standardization with examples in STATA  (DB)
17.00 End of Day 1 and Dinner

Day 2: Tuesday, 5 June 2012

9.00-10.30
L5: Measures of effect: risk difference and relative risk difference with examples in STATA (SB)
L6: Measures of effect: risk ratio and odds ratio with examples in STATA (SB)
10.30-11.00 Break
11.00-12.30
L7: Confounding and effect modification: Mantel-Haenszel estimation, testing effect homogeneity  (DB)
12.30-14.00 Lunch
14.00-15.00
P2: Case studies on confounding and MH estimation using STATA (DB)
15.00-15.30 Break
15.30-17.00
L8: Modelling with covariates: Introduction to general regression (JG)
P3: Case studies to general regression
17.00   End of Day 2 and Dinner

Day 3: Wednesday, 6 June 2012

9.00-10.30
L9: Modelling with covariates: logistic regression (SB)
P4: Case studies to logistic regression (SB,DB,JG)
10.30-11.00 Break
11.00-12.30
L10: Poisson regression (JG)
P5: Case studies to Poisson regression (JG,DB,SB)
12.30-14.00 Lunch
14.00-16.00
Case studies of participants and organizers
General discussion and feedback
16.00 -16.30   Closing ceremony and end of course

 

 

 

 

Tübitak

Yazokulumuz TÜBİTAK tarafından desteklenmiştir.

 

Uytes

Stata Programı UYTES tarafından sağlanmıştır.