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. 2010 Autumn;21(3):e99–e106. doi: 10.1155/2010/965268

TABLE 3.

Summary of regression models for selected drug classes

Dependent variable* Independent variables in final regression model Unstandardized coefficients (standard error) Standardized coefficients P r2
J01 (overall) Constant 16.675 (0.093) <0.001 0.759
Aboriginal population 1.232 (0.093) 0.474 <0.001
Household income 0.500 (0.093) 0.192 <0.001
Sine component 2.093 (0.132) 0.570 <0.001
Cosine component 1.494 (0.132) 0.407 <0.001
J01C (penicillins) Constant 5.289 (0.037) <0.001 0.814
Aboriginal population 0.548 (0.041) 0.461 <0.001
Population ≥65 years† −0.407 (0.041) −0.343 <0.001
Sine component 0.873 (0.053) 0.521 <0.001
Cosine component 0.487 (0.053) 0.290 <0.001
J01E (trimethoprim/sulfonamides) Constant 0.938 (0.008) <0.001 0.653
Aboriginal population 0.041 (0.008) 0.232 <0.001
Household size −0.093 (0.010) −0.523 <0.001
Mortality rate 0.064 (0.010) 0.363 <0.001
J01FA (macrolides) Constant 3.588 (0.035) <0.001 0.758
Population <15 years 0.390 (0.035) 0.397 <0.001
Sine component 0.882 (0.050) 0.637 <0.001
Cosine component 0.608 (0.050) 0.440 <0.001
*

Dependent variable: daily consumption rate in defined daily doses per 1000 population/day;

Standardized scores were used