Table 2.
Beta coefficients and standard errors (SEs) from multi-level logistic regression, N = 3,187
| Variable | Model 1*† | Model 2*‡ | Model 3§ |
|---|---|---|---|
| Intercept | −0.4758 (0.2891) | −3.1127 (0.3265)‖ | −2.8801 (0.3985)‖ |
| Community bed net use | 0.007508 (0.008573) | 0.01837 (0.008494)‖ | 0.01201 (0.01124) |
| Individual bed net use | −0.005130 (0.02827) | 0.04494 (0.02924) | 0.04261 (0.02927) |
| Gender | – | −0.01305 (0.02700) | −0.01321 (0.02701) |
| Age, months¶ | – | 0.08906 (0.004455)‖ | 0.08907 (0.004456)‖ |
| Age2 | – | −0.00088 (0.000066)‖ | −0.00088 (0.000066)‖ |
| Wealth index | – | 0.9647 (0.08682)‖ | 0.9727 (0.08693)‖ |
| – | 0.9131 (0.08682)‖ | 0.9235 (0.08028)‖ | |
| – | 0.9004 (0.08017)‖ | 0.9104 (0.07306)‖ | |
| – | 0.7596 (0.07296)‖ | 0.7712 (0.06922)‖ | |
| Urbanicity | – | 0.7991 (0.06912)‖ | −1.3139 (0.5740)‖ |
| Urbanicity‖ community bed net use | – | – | 0.01373 (0.01688) |
| Akaike information criterion | 37,307.21 | 35,720.78 | 35,719.64 |
Beta coefficients and SE for each variable in the multi-level logistic regression model. Model 1 includes community and individual bed net use, model 2 includes model 1 variables plus all covariates (gender, age [quadratic], wealth, and urbanicity), and model 3 includes all model 2 variables plus an interaction term between urbanicity and community bed net use.
*
Weighted by children’s malaria weight.
†
Unadjusted model.
‡
Fully adjusted model including gender, age (months), wealth, and urbanicity.
§
Interaction model.
‖
Significant at alpha < 0.05.
¶
Age modeled as a quadratic variable.