Need help for estimated statement: Zero-inflated count data

[PhanS]

Hello,

I appreciate your assistance. Thanks you in advance!

I need help writing an estimated statement of 4-level variable _cause. Please see SAS codes/analyses below and the attached SAS outcome. 

title1 'zero-inflated Poisson regression analysis - _sex';
proc genmod data = COVID.kh_analyse;
class _cause /param=glm;
model days_adm_death = _cause age_60 _eth / type3 dist=zip;
zeromodel _sex /link = logit;
estimate "_cause = 0" intercept 1 age_60 .46 _cause 0 1 @Zero intercept 1 _sex .45;
estimate "_cause = 1" intercept 1 age_60 .46 _cause 1 0 @Zero intercept 1 _sex .45;
estimate "_cause = 0" intercept 1 age_60 .46 _cause 1 0 @Zero intercept 1 _sex .45;
estimate "_cause = 2" intercept 1 age_60 .46 _cause 1 0 @Zero intercept 1 _sex .45;
estimate "_cause = 0" intercept 1 age_60 .46 _cause 0 1 @Zero intercept 3 _sex .45;
estimate "_cause = 3" intercept 1 age_60 .46 _cause 1 0 @Zero intercept 1 _sex .45;
estimate "_cause = 0" intercept 1 age_60 .46 _cause 0 1 @Zero intercept 4 _sex .45;
estimate "_cause = 4" intercept 1 age_60 .46 _cause 1 0 @Zero intercept 4 _sex .45;
run;

proc means data = COVID.kh_analyse mean std min max var;
var days_adm_death age_60 _sex;
run;

proc freq data = COVID.kh_analyse;
tables _cause;
run;

[StatDave]

As discussed in this note, you cannot use the ESTIMATE statement to obtain estimated means from zero-inflated models fit by PROC GENMOD. See the methods shown in the note to estimate means under the model. 

You can search the SAS Notes and Samples at https://support.sas.com/en/knowledge-base.html and the list of Frequently-Asked for Statistics at https://support.sas.com/kb/30/333.html .