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Table 4 Logistic regression model performance of exploratory univariable models and the multivariable main effects model

From: Who gets vaccinated in a measles-rubella campaign in Nepal?: results from a post-campaign coverage survey

Index Variable name and categories Got Campaign Dose % (weighted) N (unweighted) Unadjusted Odds Ratio p-value (Same as univariable logistic regression p-value) Logistic regression c-stat (or area under the ROC curve) Weighted % predicted vx’d (0.5 cut off) Weighted % vx’d correct prediction (i.e., given they got campaign dose, what % had phat > 0.5?) Weighted % not vx’d correctly predicted (i.e., given they didn’t get campaign dose, what % had phat < 0.5?)
1a Knew about Campaign     < 0.0001 0.90 87.5 99.7 80.1
 Yes 96.5 4223 1477.21      
 No 1.8 647 Ref      
2a Urban/Rural     0.0087 0.53 100 100 0
 Rural 85.6 2640 Ref      
 Urban 79.0 2230 0.63      
3 Earthquake Area     0.3524 0.52 100 100 0
 Yes 82.6 1100 Ref      
 No 85.2 3770 1.21      
4 Gender     0.8098 0.50 100 100 0
 Boy 84.5 2565 Ref      
 Girl 84.9 2305 1.03      
5a Caregiver Marital Status     0.2009 0.50 100 100 0
 Married 84.6 4746 Ref      
 Not Married 97.5 33 7.12      
 Unknown 85.4 91 1.07      
6a Caregiver Education     0.0717 0.55 100 100 0
 Don’t Know or less than Primary 81.2 1423 Ref      
 Primary 88.3 888 1.74      
 More than Primary 85.6 2559 1.37      
7a Caregiver Religion     0.1012 0.53 100 100 0
 Hindu 84.6 4195 Ref      
 Buddhist 91.3 320 1.91      
 Muslim 76.2 239 0.58      
 Not Hindu/Buddhist/ Muslim 83.5 116 0.92      
8a Ethnic Group     < 0.0001 0.65 100 100 0
 Hill Brahmin 87.9 579 Ref      
 Hill Chhetri 90.7 1100 1.35      
 Terai Brahmin Chettri 91.8 175 1.54      
 Other Terai Caste 64.9 451 0.25      
 Hill Dalit 88.0 360 1.01      
 Terai Dalit 79.4 236 0.53      
 Newar 84.8 295 0.77      
 Hill Janajati 85.8 899 0.84      
 Terai Janajati 91.4 408 1.46      
 Muslim 76.0 236 0.44      
 Others 88.5 131 1.06      
9a Source of Income     < 0.0001 0.61 100 100 0
 Professional/Technical/Managerial 79.5 101 Ref      
 Jobber/Service holder 85.1 892 1.47      
 Sales and services 85.5 914 1.53      
 Skilled manual 74.8 787 0.77      
 Unskilled manual 80.5 306 1.07      
 Agriculture 89.1 1651 2.12      
 Others 79.8 219 1.02      
10 Migration     0.4184 0.51 100 100 0
 Yes 82.8 889 Ref      
 No 84.9 3981 1.17      
11 Migration Time     0.4706 0.51 100 100 0
 Didn’t migrate 84.9 3981 Ref      
 Migrated < 12 months ago 75.2 49 0.54      
 Migrated 1–5 years ago 83.2 840 0.88      
12a Someone in the Family Works Abroad     0.1444 0.53 100 100 0
 Yes 87.4 1322 Ref      
 No 83.5 3548 0.73      
13a # Family Members in HH     0.1630 0.53 100 100 0
 < =4 members in HH 86.5 2190 Ref      
 > 4 members in HH 83.5 2680 0.79      
14a # Children 9–59 months in HH     0.2207 0.52 100 100 0
 < =1 child in HH aged 9–59 month 85.4 3503 Ref      
 > 1 child in HH aged 9–59 month 83.2 1367 0.85      
15a Child Age Group     0.2961 0.51 100 100 0
 Child <=36mo 85.3 2343 Ref      
 Child >36mo 84.1 2527 0.91      
16a Province     < 0.0001 0.69 100 100 0
 Province 1 87.9 806 Ref      
 Province 2 70.0 730 0.32      
 Province 3 81.1 1163 0.59      
 Province 4 87.4 495 0.96      
 Province 5 91.4 616 1.46      
 Province 6 98.0 740 6.76      
 Province 7 96.0 320 3.31      
17a Ecological Belt     0.0002 0.60 100 100 0
 Mountain 96.1 885 Ref      
 Hill 88.3 1923 0.31      
 Terai (Plain) 80 2062 0.16      
Multivariable Main Effects Model 84.7 4870    0.96 86.8 99.6 80.8
  1. Sections 1–17 of this table describe results from univariable models; only the final row of the table describes performance of the multivariable model
  2. aDenotes a variable that was retained in the main effects model