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Appendix 1 Descriptive summary—data

From: A bootstrapping approach for generating an inverse distance weight matrix when multiple observations have an identical location in large health surveys

 Women Men
NMeanSTD Chi-2NMeanSTD Chi-2
HIV testing7,2890.820.38  HIV testing17,2730.850.36  
Wealth index7,2892.921.49  Wealth index17,2733.311.41  
Education level7,2891.200.69  Education level17,2731.180.65  
 YesNo  YesNo 
NPercentNPercentNPercentNPercent
HIV testing5,99582.251,29417.750< 0.001aHIV testing14,60784.572,66615.43<0.001a
Wealth indexWealth index
 Poorest1,49720.543264.47  Poorest2,11412.243421.98 
 Poorer1,05314.452743.76  Poorer2,66615.434362.52 
 Middle1,01613.942483.40  Middle2,72215.765223.02 
 Richer1,11315.272122.91  Richer3,00217.385703.30 
 Richest1,31618.052343.21  Richest4,10323.757964.61 
 5,99582.251,29417.75< 0.001 14,60784.572,66615.430.011
Education levelEducation level
 No education74710.251311.80  No education1,6359.472661.54 
 Primary3,48147.7684611.61  Primary8,96151.881,74010.07 
 Secondary1,51320.763004.12  Secondary3,61120.916373.69 
 Higher2543.48170.23< 0.001 Higher4002.32230.13< 0.001
  1. aThis was estimated using a one sample t-test