2.2. Statistical analysisThe data w

2.2. Statistical analysis

The data were expressed as the mean ± S.D. Applicable analysis weights, Stata 11.0, were applied, to adjust the design
variables for clustering and stratification. The Cox proportional hazards model was used to identify the influence of baseline characteristics on diabetic subjects.

The resultsof all tests with p < 0.05 were considered to be statistically significant.
The incidence of CKD based on Kaplan–Meier
curves was used in diabetic subjects with/without physical
activity

ผลลัพธ์ (อังกฤษ) 2:

2.2. Statistical analysis Data were expressed The mean ± SD Applicable As The analysis weights, Stata 11.0, were Applied, to Adjust The Design variables for Clustering and stratification. The Cox proportional hazards Model was Used to Identify The influence of Baseline characteristics on Diabetic subjects. The Resultsof all tests with P <12:05 a.m. were considered to be statistically significant. The incidence of CKD based on Kaplan-Meier Curves was Used in Diabetic subjects with /. Without physical Activity

ผลลัพธ์ (อังกฤษ) 3:

2.2. Statistical analysis

The data were expressed as the mean edge S.D. Applicable analysis weights Stata 11.0 applied were,,,, To adjust the design
variables for clustering and stratification. The Cox proportional hazards model was used to identify. The influence of baseline characteristics on diabetic subjects.

The resultsof all tests with P < 0.05 were considered to. Be statistically significant.
The incidence of CKD based on Kaplan - Meier
curves was used in diabetic subjects with / without physical
activity.