Research Article
Comparison of Bayesian and Classical Methods for Exploring the Important Factors regarding Maternal and Child Health Care
Table 2
Comparison of widths regarding 95% CI for ORs under classical and Bayesian logistic regression models for ANC and medical drugs.
| Factor | ANC | Medical drugs | Classical | Bayesian | Classical | Bayesian |
| Mother’s age at birth | <20 | 0.417 | 0.341 | 0.965 | 0.788 | 20–34 | 0.305 | 0.259 | 0.750 | 0.603 | 35–49 (R) | 1 | 1 | 1 | 1 |
| Birth order | 1 | 0.704 | 0.606 | 2.970 | 2.502 | 2–3 | 0.483 | 0.401 | 1.207 | 1.043 | 4–5 | 0.402 | 0.338 | 0.777 | 0.643 | 6+ (R) | | | 1 | 1 |
| Residence | 1 | 1 | | | Urban (R) | | | 1 | 1 | Rural | 0.128 | 0.106 | 0.108 | 0.091 |
| Mother’s education | 0.000 | 0.000 | | | No education | 0.070 | 0.060 | 0.031 | 0.026 | Primary | 0.131 | 0.112 | 0.134 | 0.113 | Middle | 0.179 | 0.148 | 0.237 | 0.227 | Secondary | 0.255 | 0.214 | 0.287 | 0.236 | Higher (R) | 1 | 1 | 1 | 1 |
| Wealth quintile | Lowest | 0.064 | 0.054 | 0.033 | 0.027 | Second | 0.086 | 0.070 | 0.064 | 0.054 | Middle | 0.110 | 0.094 | 0.185 | 0.156 | Fourth | 0.201 | 0.170 | 0.409 | 0.331 | Highest (R) | 1 | 1 | 1 | 1 |
| Province | Punjab (R) | 1 | 1 | 1 | 1 | Sindh | 0.242 | 0.208 | 0.750 | 0.165 | KPK | 0.217 | 0.191 | 0.131 | 0.113 | Balochistan | 0.320 | 0.268 | 0.050 | 0.043 |
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