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Published byJudith Barnett Modified over 9 years ago
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Logistic regression analysis predicting feeding behavior at first follow- up using the total BAPT score (Trimmed model) Hosmer and Lemeshow Goodness of Fit test: 2 =5.48, df=8, p-value 0.706 Model : 2 =86.94, df=6, p-value=0.000 -2 Log Likelihood=146.14, **Referent category is ever married Dependent variable: Breastfed=1, Formulafed=0
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Logistic regression analysis predicting feeding behavior at first follow-up using the significant demographic variables and the four subscale scores.(Trimmed model) Hosmer and Lemeshow Goodness of Fit test: 2 =4.67, df=8, p-value 0.792 Model : 2 =104.40, df=9, p-value=0.000 -2 Log Likelihood=128.68 **Referent category is ever married Dependent variable: Breastfed=1, Formula fed =0
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Hosmer and Lemeshow Goodness of Fit test: 2 =17.19, df=8, p-value 0.028 Model : 2 =72.48, df=3, p-value=0.000 -2 Log Likelihood=118.21 Dependent variable: Breastfed=1, Formulafed=0 Logistic regression analysis predicting feeding behavior at second follow-up using total BAPT score. (Trimmed model)
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Logistic regression analysis predicting feeding behavior at second follow-up using the significant demographic variables and the four subscale scores. (Trimmed model) Hosmer and Lemeshow Goodness of Fit test: 2 =6.24, df=8, p-value 0.620 Model 2 =85.901, df=8, p-value=0.000 -2 Log Likelihood=104.79 *Referent category is income greater than $30,000 Dependent variable: Breastfed=1, Formula fed =0
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Using the Breastfeeding Attrition Prediction Tool to predict breastfeeding behavior in African- American women Manorama M. Khare*, PhD, MS, Noel Chàvez, PhD, RD, LD, Timothy Johnson, PhD.
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