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microdire27
Fluorite | Level 6

Hello,

I am a beginner when it comes to SAS and this is my first project using SAS. I want to make sure that my interpretation of the odd ratio is accurate. I attached the output of my analysis and I also captured the effects table.

 

Response variable = "Age appropriate sleep duration" is the Response variable and it is binary i.e Child sleeps recommended age appropriate hours or Child did not sleep age appropriate recommended hours

Predictors :

1) ADHD Severity with two levels:

a Mild

b Moderate/Severe

Analysis was stratified based on ADHD Severity

 

2) Read to with 3 levels

a) 0-3 days

b) 4-6 days

c) Every day.

 

Analysis of Maximum Likelihood Estimates

Parameter

 

HrsSleep_1617

Estimate

Standard
Error

t Value

Pr > |t|

Intercept

 

Child sleeps recommended age-appropriate hours

0.3499

0.4741

0.74

0.4687

readto_1617

0 -3 days

Child sleeps recommended age-appropriate hours

-1.1681

0.6242

-1.87

0.0753

readto_1617

4-6 days

Child sleeps recommended age-appropriate hours

-1.1306

0.8286

-1.36

0.1869

NOTE: The degrees of freedom for the t tests is 21.

 

 

Odds Ratio Estimates

Effect

HrsSleep_1617

Point Estimate

95% Confidence Limits

readto_1617     0 -3 days vs Every day

Child sleeps recommended age-appropriate hours

0.311

0.085

1.139

readto_1617     4-6 days  vs Every day

Child sleeps recommended age-appropriate hours

0.323

0.058

1.809

NOTE: The degrees of freedom in computing the confidence limits is 21.

 

Interpretation: 

In children diagnosed with mild ADHD  the odds of child sleeps recommended age appropriate hours in children read to 0-3 days is 0.689 less compared to children read to everyday.

Is this interpretation accurate? Thank you for the anticipated response.

 

1 REPLY 1
Norman21
Lapis Lazuli | Level 10

You haven't shown the results of the test for the proportional odds assumption, which indicates whether you have a valid model. You might like to study the annotated output given here:

 

https://stats.idre.ucla.edu/sas/output/ordered-logistic-regression/

Norman.
SAS 9.4 (TS1M6) X64_10PRO WIN 10.0.17763 Workstation

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