Research Article

Analysis of Trends in Awareness Regarding Hepatitis Using Bayesian Multiple Logistic Regression Model

Table 10

Comparison of AICs and BICs for CMLRM and BMLRM using data from PDHS 2017–18.

VariablesHeard about HCVKnowing preventive measures for HCV
AgeCMLRMBMLRMCMLRMBMLRM
AICBICAICBICAICBICAICBIC

15–1917.9915.3816.3113.8916.9314.3115.3412.88
20–2419.1516.5417.9415.0718.6616.0416.8814.83
25–2919.3316.7217.8015.5118.9916.3717.5815.12
30–3419.3016.6917.9915.3718.8716.2617.4515.13
35–3919.2416.6217.7615.3718.8816.2717.7314.91
40–4418.9216.3017.6614.9718.6015.9917.2814.80
45–49Reference

Residence
UrbanReference
Rural21.5718.9520.1517.7321.2118.6019.8116.91

Educational level
Illiterate18.9816.3717.5115.2219.4616.8518.0315.39
Primary18.5115.8916.7314.4418.9116.2917.2815.29
Middle18.1115.4916.7314.5618.3915.7816.9014.73
Matriculation18.2015.5917.0414.2018.6516.0417.2314.55
HigherReference

Income level
Least19.6217.0118.4215.3819.3816.7717.6215.44
Lower-middle19.6417.0218.4315.6219.4916.8817.7815.35
Middle19.6117.0018.1615.9019.5216.9017.6815.67
Upper-middle19.5816.9618.2215.7919.5416.9218.3515.79
HighestReference

Region
Punjab14.9112.2913.7711.1714.7312.1213.6511.09
Urban14.8312.2113.7411.4314.6812.0613.6111.13
Rural14.8912.2813.6711.1314.7212.1013.7711.02
Sindh14.8812.2713.5311.4114.6912.0713.2711.30
Urban14.8312.2113.8511.2314.6011.9913.5010.94
Rural14.8112.2013.8411.1114.6112.0013.1511.23
KPK14.8412.2213.4511.3314.6612.0513.7111.04
Urban14.2511.6313.1110.7814.2711.6513.1510.89
Rural14.8212.2013.4011.0514.6312.0213.4110.96
Baluchistan14.7012.0913.6511.3414.3211.7013.3110.81
Urban14.2311.6212.9710.7513.5910.9812.539.96
Rural14.6111.9913.6911.1114.1511.5312.9510.56
IslamabadReference
Gilgit-Baltistan14.0311.4212.9910.4514.1411.5213.0310.68