BookmarkSubscribeRSS Feed
bikashten
Fluorite | Level 6

Hello,

I have a survey data with probable dementia (yes/no) and two independent factors.

I used this logistic model and try to estimate the relative risk using log-binomial model. I am wondering how can I convert the beta estimate into relative risk (RR). I used the estimate statement to calculate the relative risk, but I am not sure about it. Does it give the relative risk. Help!!!

 

proc surveylogistic data=work.final;
class Immigrant (ref='0') Race (ref='1');
model prob_dementia(event='1') = Immigrant Race/link=cloglog;
weight Weight;
estimate "immigrant vs non-immigrant" Immigrant 1 -1/exp;
run;

 

Here is the output calculated using estimate option.

 

SAS Output

 

A

Analysis of Maximum Likelihood Estimates

Parameter

 

Estimate

Standard
Error

t Value

Pr > |t|

Intercept

 

-1.6232

0.0664

-24.46

<.0001

Immigrant

1

0.0629

0.0738

0.85

0.3943

Race

2

0.1642

0.0751

2.19

0.0289

Race

4

-0.2129

0.1208

-1.76

0.0780

NOTE: The degrees of freedom for the t tests
is 5226.

 

Association of Predicted Probabilities and Observed
Responses

Percent Concordant

26.0

Somers' D

0.031

Percent Discordant

23.0

Gamma

0.063

Percent Tied

51.0

Tau-a

0.009

Pairs

4106232

c

0.515

 

Estimate

Label

Estimate

Standard Error

DF

t Value

Pr > |t|

Exponentiated

immigrant vs non-immigrant

0.06287

0.07380

5226

0.85

0.3943

1.0649

 

1 REPLY 1
StatDave
SAS Super FREQ

The CLOGLOG link does not result in a log binomial model. See this note for estimating a relative risk based on a logistic model. You can use an ordinary logistic model (fit in PROC LOGISTIC or SURVEYLOGISTIC), and then use the NLMeans macro as shown there.

sas-innovate-2024.png

Available on demand!

Missed SAS Innovate Las Vegas? Watch all the action for free! View the keynotes, general sessions and 22 breakouts on demand.

 

Register now!

What is ANOVA?

ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.

Find more tutorials on the SAS Users YouTube channel.

Discussion stats
  • 1 reply
  • 1305 views
  • 0 likes
  • 2 in conversation