coded as 1 = yes and 0 = no. What is the odds ratio adjusted for father’s diagnosis? (Hint: Use only the appropriate model to find the odds ratio) (1) "ln" (p ̂/((1-p ̂)))= –2.216 + 1.480 Child exposed (2) Father with diagnosis: "ln" (p ̂/((1-p ̂)))= –1.665 + 1.297 Child exposed (3) Father without diagnosis: "ln" (p ̂/((1-p ̂)))= –2.343 + 0.823 Child exposed (4) "ln" (p ̂/((1-p ̂)))= –2.398 + 1.501 Child exposed + 0.906 Father’s diagnosis A. 4.49 B. 7 C. 2.88 D. 1.501

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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The data presented is a multiple logistic regression analysis and the models 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. What is the odds ratio adjusted for father’s diagnosis? (Hint: Use only the appropriate model to find the odds ratio) (1) "ln" (p ̂/((1-p ̂)))= –2.216 + 1.480 Child exposed (2) Father with diagnosis: "ln" (p ̂/((1-p ̂)))= –1.665 + 1.297 Child exposed (3) Father without diagnosis: "ln" (p ̂/((1-p ̂)))= –2.343 + 0.823 Child exposed (4) "ln" (p ̂/((1-p ̂)))= –2.398 + 1.501 Child exposed + 0.906 Father’s diagnosis

A. 4.49

B. 7

C. 2.88

D. 1.501

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