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MTeck
Calcite | Level 5

i am wondering either i add "CLASS" statement or not.

 

i am trying to run Cox-regression model, so i made this code.

and what i need is  the hard ratios for outcome on exposure.

exposure(0=no exposure, 1= yes exposure) and outcome(0=no outcome, 1= yes outcome) variable are all binary.

Can i add class statement to want to see hazard ratios on exposure

 

proc phreg data=episode;

/*class exposure*/
model period*outcome(0)=exposure / rl;
run;

 

My output is per individual,

1) class statement

 

DF

 

1

Parameter

Estimate

 

-1.45709

Standard

Error 

 

0.15452

Chi-Square

 

88.9231

 Pr

> ChiSq

 

<.0001

Hazard

Ratio

 

0.233

95% Hazard Ratio

 

0.172

ConfidenceLimit

 

0.315

 

 

2) non class statement

DF

Parameter

Estimate 

Standard

Error 

Chi-Square

 Pr

> ChiSq

Hazard

Ratio

95% Hazard RatioConfidenceLimit
11.45709   0.15452  88.9231<.00014.293     3.172   5.812
1 ACCEPTED SOLUTION

Accepted Solutions
FreelanceReinh
Jade | Level 19

Hello @MTeck and welcome to the SAS Support Communities!

 

In the case of a dichotomous explanatory variable with values 0 and 1 (like exposure in your data) the results with vs. without a CLASS statement are essentially the same. However, it can happen (and it did in your example) that the CLASS statement uses level '1' of that explanatory variable as the reference level so that the sign of the corresponding parameter estimate changes and the inverse hazard ratio and confidence limits are computed, here: the hazard ratio of "no exposure" vs. "exposure." 

 

I would use the CLASS statement (because exposure is a classification variable) and explicitly specify the reference level so that the intended results are clear. If variable exposure is not formatted:

class exposure(ref='0');

 If variable exposure is formatted and the formatted value of exposure=0 is 'no':

class exposure(ref='no');

Or, to avoid hardcoding of formatted values:

class exposure(ref=first) / order=internal;

(Among the internal values of exposure, 0 and 1, 0 is the first, regardless of formats. See the documentation for more details.)

 

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1 REPLY 1
FreelanceReinh
Jade | Level 19

Hello @MTeck and welcome to the SAS Support Communities!

 

In the case of a dichotomous explanatory variable with values 0 and 1 (like exposure in your data) the results with vs. without a CLASS statement are essentially the same. However, it can happen (and it did in your example) that the CLASS statement uses level '1' of that explanatory variable as the reference level so that the sign of the corresponding parameter estimate changes and the inverse hazard ratio and confidence limits are computed, here: the hazard ratio of "no exposure" vs. "exposure." 

 

I would use the CLASS statement (because exposure is a classification variable) and explicitly specify the reference level so that the intended results are clear. If variable exposure is not formatted:

class exposure(ref='0');

 If variable exposure is formatted and the formatted value of exposure=0 is 'no':

class exposure(ref='no');

Or, to avoid hardcoding of formatted values:

class exposure(ref=first) / order=internal;

(Among the internal values of exposure, 0 and 1, 0 is the first, regardless of formats. See the documentation for more details.)

 

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