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4.4 Research Flowchart
Figure 4.3 Research Flow Chart 4.5 Location and time of research
The research conducted at Sanglah General Hospital Diabetic Center and Urology Outpatient and Wangaya General Hospital.
Routine lab test conducted at Pathological Clinic Department of Sanglah General Hospital, on the other hand non-routine like IGF-
1 conduct in Prodia lab of research and development office, Jakarta. This research start from March 2015 until August 2015.
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4.7 Data Analysis 1. Descriptive Statistic
For numeric data descriptive analysis has been done such as mean±SD for normal distribution data, median minimum-
maximum for not normal distribution data, and nominal data presented in frequent data form.
2. Normality Test
For numeric data Kolmogorov Smirnov normality test has been done, if the data was not in normal distribution, the
hypothesis test will be done with assumption the data in normal distribution
with data
transformation through
logistic transformation. The data was normal if p0,05.
3. Comparison Test For paired mean group test, before the comparison test being
done, homogeneity group varians test with Levene test. Comparison test was done with statistical test based on
homogeneity data from Levene test result. Mean test between each group will be done with parametric test if the data in normal
distribution and the variant is numerical. Paired student t test conduct hypothetical test to know mean difference between 2
groups. If after numerical data transformation has been done the result was not normal distribution, then hypothetical test will be
done with non-parametric analysis Mann-Whitney, with presenting median interquartile data. Chi-Square analysis also
done in this bivariate test to look relationship pattern and OR magnitude on each independent variable.
4. Multivariate Test
Multivariate Test can be used to look relationship between one or more dependent variable with one or more independent
variable. This test also used to look contributive relationship from various independent variable to dependent variable or to control
confounding variable, so that relationship between independent variable hypotheses with dependent variable can be seen clearly.