Pooled vs IBD T-R in SAS from non-SASian [Design Issues]

posted by mittyri – Russia, 2019-03-23 23:13  – Posting: # 20073
Views: 4,382

Dear Helmut,

» A request to the SASians of the forum: Please run Proc MIXED with DDFM=SATTERTHWAITE of the pooled data and both DDFM-options on the data where S is excluded.

Here's my (naive) attempt

<...>
ODS output estimates = _pooled;

proc mixed data=ex631 method=reml ITDETAILS maxiter=200;
class sequence subject period formula carry;
model ln_auc= sequence period formula/ddfm=SATTERTHWAITE outp=out;
random subject(sequence);
estimate 't T-R' formula -1 0 1/cl alpha=0.10;;
run;

Data _pooled;
set _pooled;
pe=round(100*exp(estimate), 0.00001);
lowerCL = lower;
upperCL = upper;
lower=round(100*exp(lowerCL), 0.00001);
upper=round(100*exp(upperCL), 0.00001);
run;

Data noS;
set ex631;
if formula = 'R' | formula = 'T';
run;

ODS output estimates = _TRonly;

proc mixed data=noS method=reml ITDETAILS maxiter=200;
class sequence subject period formula carry;
model ln_auc= sequence period formula/ddfm=SATTERTHWAITE outp=out;
random subject(sequence);
estimate 'T-R' formula -1 1/cl alpha=0.10;;
run;

Data _TRonly;
set _TRonly;
pe=round(100*exp(estimate), 0.00001);
lowerCL = lower;
upperCL = upper;
lower=round(100*exp(lowerCL), 0.00001);
upper=round(100*exp(upperCL), 0.00001);
run;


Results:
Option Label  Estimate StdErr DF tValue Probt Alpha Lower Upper    pe        lowerCL    upperCL
Pooled "t T-R" 0.1497 0.03848 115 3.89 0.0002 0.1  108.97 123.81 116.153  0.0859308889 0.2135523619
IBD     T-R    0.1488 0.03793 56.8 3.92 0.0002 0.1 108.92 123.65 116.047  0.0854035502 0.2122465728

Kind regards,
Mittyri

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