International Conference on Applied Statistic 2013 | 16 – 18 September 2013 | Bandung, Indonesia.

2. Background
Methods
Result & Discussion
Conclusion
Reommendation

4. Background

5. Background

6. Risk Factor of Stroke
Image Source: http://www.easierliving.com/blog/2013/05/14/know-how-to-prevent-recurrent-stroke/
STROKE

7. Risk Factor of Stroke
Image Source: http://www.easierliving.com/blog/2013/05/14/know-how-to-prevent-recurrent-stroke/
STROKE

8. Risk Factor of Stroke
Image Source: http://www.easierliving.com/blog/2013/05/14/know-how-to-prevent-recurrent-stroke/
STROKE
Controlled

9. Research Question
How do the prevalence of diabetes
influence the prevalence of stroke
in Indonesia’s province, given each
province has constant prevalence
of hypertension ?

10. Background
Methods
Result & Discussion
Conclusion
Recommendation

11. What is the study design?

12. Where is the study population?
Image Source: http://www.pksbalikpapantengah.org/2013/05/wujudkan-indonesia-sebagai-sepenggal.html

13. How is the data collected?
Data Resource:
Data Resource: http://labmandat.litbang.depkes.go.id/

14. How is the data collected?
Data Resource: http://labmandat.litbang.depkes.go.id/

15. How is the data collected?
Data Resource: http://labmandat.litbang.depkes.go.id/

16. How is the data collected?
Data Resource: http://labmandat.litbang.depkes.go.id/

17. How is the data collected?
Data Resource: http://labmandat.litbang.depkes.go.id/

18. How is the data collected?
Data Resource: http://labmandat.litbang.depkes.go.id/
Prevalence of
Stroke

19. How is the data collected?
Data Resource: http://labmandat.litbang.depkes.go.id/
Prevalence of
Diabetes
Prevalence of
Stroke

20. How is the data collected?
Data Resource: http://labmandat.litbang.depkes.go.id/
Prevalence of
Diabetes
Prevalence of
Stroke
Prevalence of
Hypertension

21. How is the data analyzed?
Statistical Tool & Model

22. How is the data analyzed?
Y : prevalence of stroke
X : prevalence of diabetes
X : prevalence of hypertension
i
1i
2i
Statistical Tool & Model

23. How is the data analyzed?
Y : prevalence of stroke
X : prevalence of diabetes
X : prevalence of hypertension
i
1i
2i
Statistical Tool & Model
E(Y |X , X ) = βX + βX + α (constant) + ɛ (residual error)1i 2i 1i 2ii

24. How is the data analyzed?
Y : prevalence of stroke
X : prevalence of diabetes
X : prevalence of hypertension
i
1i
2i
Statistical Tool & Model
STATA ®12
E(Y |X , X ) = βX + βX + α (constant) + ɛ (residual error)1i 2i 1i 2ii

25. Background
Methods
Result & Discussion
Conclusion
Recommendation

26. Regression Assumption

27. Regression Assumption
1) Independent observation

28. Regression Assumption
1) Independent observation
2) Linear relationship

29. Regression Assumption
1) Independent observation
2) Linear relationship
3) Homoscedasticity (constant variance)

30. Regression Assumption
1) Independent observation
2) Linear relationship
3) Homoscedasticity (constant variance)
4) Y | X, is normaly distributed

31. 5
101520
.5 1 1.5 2 2.5
Prevalence of Diabetes
Regression fit Prevalence of Stroke
Prevalenceofstroke
Prevalence of diabetes
r = 0.61 (p < 0.001)
Peason’s correlation analysis

32. 5
101520
.5 1 1.5 2 2.5
Prevalence of Diabetes
Regression fit Prevalence of Stroke
Prevalenceofstroke
Prevalence of diabetes
r = 0.61 (p < 0.001)
Multivariate linear regression
E(Y | X ,X ) = 6.11 + 4.45 X - 0.083X + ɛ ~N (0, 2.5 )1i 2i1i 2ii
Prevalence of stroke increased significantly with prevalence of diabetes
(t(30) = 4.25 ,p=0.000).
2

33. 5
101520
.5 1 1.5 2 2.5
Prevalence of Diabetes
Regression fit Prevalence of Stroke
Prevalenceofstroke
Prevalence of diabetes
r = 0.61 (p < 0.001)
Multivariate linear regression
E(Y | X ,X ) = 6.11 + 4.45 X - 0.083X + ɛ ~N (0, 2.5 )1i 2i1i 2ii
Prevalence of stroke increased significantly with prevalence of diabetes
(t(30) = 4.25 ,p=0.000).
2
Adj-R = 0.35
2

34. 5
101520
.5 1 1.5 2 2.5
Prevalence of Diabetes
Regression fit Prevalence of Stroke
Prevalenceofstroke
Prevalence of diabetes
r = 0.61 (p < 0.001)
Multivariate linear regression
E(Y | X ,X ) = 6.11 + 4.45 X - 0.083X + ɛ ~N (0, 2.5 )1i 2i1i 2ii
Prevalence of stroke increased significantly with prevalence of diabetes
(t(30) = 4.25 ,p=0.000).
Y : prevalence of strokei
2
Adj-R = 0.35
2

35. 5
101520
.5 1 1.5 2 2.5
Prevalence of Diabetes
Regression fit Prevalence of Stroke
Prevalenceofstroke
Prevalence of diabetes
r = 0.61 (p < 0.001)
Multivariate linear regression
E(Y | X ,X ) = 6.11 + 4.45 X - 0.083X + ɛ ~N (0, 2.5 )1i 2i1i 2ii
Prevalence of stroke increased significantly with prevalence of diabetes
(t(30) = 4.25 ,p=0.000).
Y : prevalence of strokei
X : prevalence of diabetes1i
2
Adj-R = 0.35
2

36. 5
101520
.5 1 1.5 2 2.5
Prevalence of Diabetes
Regression fit Prevalence of Stroke
Prevalenceofstroke
Prevalence of diabetes
r = 0.61 (p < 0.001)
Multivariate linear regression
E(Y | X ,X ) = 6.11 + 4.45 X - 0.083X + ɛ ~N (0, 2.5 )1i 2i1i 2ii
Prevalence of stroke increased significantly with prevalence of diabetes
(t(30) = 4.25 ,p=0.000).
Y : prevalence of strokei
X : prevalence of diabetes1i
X : prevalence of hypertension2i
2
Adj-R = 0.35
2

37. 5
101520
.5 1 1.5 2 2.5
Prevalence of Diabetes
95% CI Regression fit
Prevalence of Stroke
Prevalenceofstroke
Prevalence of diabetes
r = 0.61 (p < 0.001)
Multivariate linear regression
E(Y | X ,X ) = 6.11 + 4.45 X - 0.083X + ɛ ~N (0, 2.5 )1i 2i1i 2ii
Prevalence of stroke increased significantly with prevalence of diabetes
(t(30) = 4.25 ,p=0.000). The increase was estimated to be 4.45% (95% CI from 2.31% -
6.59%) per 1 % increased of prevalence of diabetes,
2
Adj-R = 0.35
2

38. 5
101520
.5 1 1.5 2 2.5
Prevalence of Diabetes
95% CI Regression fit
Prevalence of Stroke
Prevalenceofstroke
Prevalence of diabetes
r = 0.61 (p < 0.001)
Multivariate linear regression
E(Y | X ,X ) = 6.11 + 4.45 X - 0.083X + ɛ ~N (0, 2.5 )1i 2i1i 2ii
Prevalence of stroke increased significantly with prevalence of diabetes
(t(30) = 4.25 ,p=0.000). The increase was estimated to be 4.45% (95% CI from 2.31% -
6.59%) per 1 % increased of prevalence of diabetes, given controlling prevalence of
hypertension (within province has constant prevalence of hypertension).
2
Adj-R = 0.35
2

39. Background
Methods
Result & Discussion
Conclusion
Recommendation

41. Thank you