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Models for multiple logistic regression analysis are shown below. In the models below, the data are coded as follows: p = the proportion of children

  1. Models for multiple logistic regression analysis are shown below. In the models below, the data are coded as follows:p= the proportion of children with a diagnosis of ADHD, Child Exposed and Father's Diagnosis are coded as 1 = yes and 0 = no.

(1)= -2.218 + 1.380 Child exposed

(2)Father with diagnosis:= -1.685 + 1.197 Child exposed

(3)Father without diagnosis:= -2.353 + 0.923 Child exposed

(4)= -2.388 + 1.066 Child exposed + 0.926 Father's diagnosis

Compute the unadjusted odds ratio using the regression coefficient from appropriate model.

2.

Models for multiple logistic regression analysis are shown below. In the models below, the data are coded as follows:p

= the proportion of children with a diagnosis of ADHD, Child Exposed and Father's Diagnosis are coded as 1 = yes and 0 = no.

(1)= -2.218 + 1.380 Child exposed

(2)Father with diagnosis:= -1.685 + 1.197 Child exposed

(3)Father without diagnosis:= -2.353 + 0.923 Child exposed

(4)= -2.388 + 1.066 Child exposed + 0.926 Father's diagnosis

Which model produces the unadjusted odds ratio?

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