Disease Types are there 6.
Treatment outcome 2: each one has the 4 measurement character (in total 8).
Duration varied ie.1, 2, 3 or 4 years.
As well which calculation procedure would be best.....
Respected Zuhair,
Thank you a lot for your kind reply with solution.
Best Regards...........
Dear Mohammad
you can used one from three solutions:
1- Repeated measurment when Disease is afctore,reponse treatment outcome, year is arepated factore
2-Split plot time design when year times is afactore,Disease is afctore,treatment outcome is reponse
3-also you can depend on Multivariate analysis MNOVA
With Best Regards
Dear Mohammad
you can used one from three solutions:
1- Repeated measurment when Disease is afctore,reponse treatment outcome, year is arepated factore
2-Split plot time design when year times is afactore,Disease is afctore,treatment outcome is reponse
3-also you can depend on Multivariate analysis MNOVA
With Best Regards
Respected Fadhil Abdulabbas Abidi,
Thank you very much dor your solution. I have little to know which one do you suggest for the best fitted for the retrospective chohort study?
Best Regards ........
Dear Mohammad
Since you have 6 diseases with two treatments of each disease, I think that the analysis of covariance is suitable.
- The analysis of covariance is a variant of ANOVA. Analysis of covariance allows the researcher to control or adjust for variables that correlate with the dependent variable before comparing the means on the dependent variable. These variables are known as covariates of the dependent variable.
- To the extent that the levels of the covariates are different for the different research conditions, unless you adjust your dependent variable for the covariates you will confuse the effects of your independent variables with the influence of the pre-existing differences between the conditions caused by different levels of the covariates.
- By controlling for the covariates, essentially you are taking their effect away from your scores on the dependent variable. Thus having adjusted for the covariates, the remaining variation between conditions cannot be due to the covariates.
- One common use of ANCOVA is in pre-test/post-test designs. Assume that the pre-test suggests that the different conditions of the experiment have different means prior to testing (e.g. the experimental and control groups are different), ANCOVA may be used to adjust for these pre-test differences.
With my best regards,
Zuhair
Respected Zuhair,
I might give misinformation about treatment.
There is only one treatment (not two).
At that case which one perfect?
Best Regards...........
MJ Khan
Dear Mohammed
Then, one way ANOVA with multiple comparisons.
If you want any SPSS guide or references, it can be forwarded.
Regards,
Zuhair
Respected Zuhair,
Thank you a lot for your kind reply with solution.
Best Regards...........
Respected Zuhair,
Thank you a lot for your kind reply with solution.
Best Regards...........
Dear Mohammad
Attached are good and useful references in SPSS.
Regards,
Zuhair
Respected Zuhair,
It is really helpful. Thank you a lot for these essential materials.
Best Regards.........
Jobair
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