A question about PROC SURVEY logistic?

[alotaibifm]

Hi, 

I'm trying to run a proc SURVEYlogistic for a complex data, but the output looks weird. anyone has an idea what do those numbers mean? Especially the one highlighted with red. 

The SURVEYLOGISTIC Procedure

Model Information
Data Set	WORK.N15
Response Variable	Antibiotic
Number of Response Levels	2
Stratum Variable	VARSTR	VARIANCE ESTIMATION STRATUM - 2015
Number of Strata	165
Cluster Variable	VARPSU	VARIANCE ESTIMATION PSU - 2015
Number of Clusters	349
Weight Variable	PERWT	FINAL PERSON WEIGHT, 2015
Model	Binary Logit
Optimization Technique	Fisher's Scoring
Variance Adjustment	Degrees of Freedom (DF)

Variance Estimation
Method	Taylor Series
Missing Levels	Included (MISSING)
Variance Adjustment	Degrees of Freedom (DF)

Number of Observations Read	23363
Number of Observations Used	23028
Sum of Weights Read	2.5812E8
Sum of Weights Used	2.5812E8

Response Profile
Ordered Value	Antibiotic	Total Frequency	Total Weight
1	No	21546	239733598
2	Yes	1482	18390178

Model Fit Statistics
Criterion	Intercept Only	Intercept and Covariates
AIC	132597682	131164140
SC	132597690	131164156
-2 Log L	132597680	131164136

Testing Global Null Hypothesis: BETA=0
Test	Chi-Square	DF	Pr > ChiSq
Likelihood Ratio	1433543.99	1	<.0001
Score	757520.937	1	<.0001
Wald	71303.0062	1	<.0001

Analysis of Maximum Likelihood Estimates
Parameter	DF	Estimate	Standard Error	Wald Chi-Square	Pr > ChiSq
Intercept	1	-30.8434	0.0911	114655.453	<.0001
PPI	1	14.1581	0.0530	71303.0062	<.0001

Odds Ratio Estimates
Effect	Point Estimate	95% Wald Confidence Limits
PPI	>999.999	>999.999	>999.999

Association of Predicted Probabilities and Observed Responses
Percent Concordant	4.0	Somers' D	0.040
Percent Discordant	0.0	Gamma	1.000
Percent Tied	96.0	Tau-a	0.005
Pairs	31931172	c	0.520

[SAS_Rob]

Are there any messages in the LOG regarding convergence?

Typically with coefficient estimates that large and correspondingly small standard errors, there are convergence issues.  It seems like as well that your weights are extremely large.  Have you tried normalizing them?

[alotaibifm]

Here is the Log description. No, I haven't normalized the weight. 

NOTE: PROC SURVEYLOGISTIC is modeling the probability that Antibiotic='Yes'.
NOTE: Convergence criterion (GCONV=1E-8) satisfied.
NOTE: Only one cluster in a stratum. The estimate of variance will omit this stratum.
NOTE: Only one cluster in a stratum. The estimate of variance will omit this stratum.
NOTE: PROCEDURE SURVEYLOGISTIC used (Total process time):
real time 0.20 seconds
cpu time 0.14 seconds

[SAS_Rob]

Given the large disparity between the sample size and the sum of the weights, you might try normalizing the weights and see if the results make more sense.

[alotaibifm]

Do you have any article or thread about data normalization? I haven't done this procedure before. I'm sorry if this is a basic question. 

I will try to do that and see what will happen.