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Table 3 Source of variation in delay for persons residing at each level of models, obtained from Multilevel Logistic Regression Models (GLLAMM)

From: General practitioner characteristics and delay in cancer diagnosis. a population-based cohort study

 

Origin of variation

 

Variation1

Proportion of

Delay type

(level of model)

No. of units

(SE)2

total variation

All cancer types

    

Patient delay

Patients (level 1)

801

π2/3

100,00

 

GPs (level 2)

266

0.00 (0.00)

0,00

 

Practices (level 3)

187

0.00 (0.00)

0,00

Doctor delay

Patients (level 1)

1234

π2/3

92,89

 

GPs (level 2)

302

0.00 (0.00)

0,00

 

Practices (level 3)

200

0.25 (0.20)

7,11

System delay

Patients (level 1)

920

π2/3

94,29

 

GPs (level 2)

283

0.00 (0.00)

0,00

 

Practices (level 3)

194

0.20 (0.13)

5,71

After exclusion of gender-specific cancers

   

Patient delay

Patients (level 1)

545

π2/3

100,00

 

GPs (level 2)

233

0.00 (0.00)

0,00

 

Practices (level 3)

171

0.00 (0.00)

0,00

Doctor delay

Patients (level 1)

819

π2/3

91,60

 

GPs (level 2)

276

0.00 (0.00)

0,00

 

Practices (level 3)

194

0.30 (0.30)

8,40

System delay

Patients (level 1)

587

π2/3

100,00

 

GPs (level 2)

250

0.00 (0.00)

0,00

 

Practices (level 3)

182

0.00 (0.00)

0,00

  1. 1Level 1 variation was assumed to be π2/3 = 3.29, π2 = 3.1416 (Snijders and Bosker, 1999)
  2. 2SE, standard error