Data analysis and sample size for replicate study designs as per recent FDA guidance [Regulatives / Guidelines]
Dear All,
Please give me your valuable inputs.
Q) As per Recent FDA Draft Guidance they introduced 3-period, 2 -sequence full replicate study design.
Replicated crossover designs:
Other fully replicated crossover designs are also possible. For example, a three-period design, as shown below, could be used. A fully replicated design can estimate the subject-by-formulation interaction variance components.
I am unable to calculate Estimates as per the below SAS code for Reference variability and Scaled average bioequivalence.
/*TRT and RTR*/ /*Reference Variability*/
%macro Analysis(Par,Code);
proc Mixed data=scavbe;
class seq;
model &Par =seq/ddfm=satterth;
estimate "&Par" intercept 1 seq 0.5 0.5/e cl alpha=0.1;
ods output CovParms=dout1&Code;
ods output Estimates=dout2&Code;
ods output NObs=dout3&Code;
title1 ‘Intra subject variability of Reference';
title2 "&Par-Analysis";
run;
%mend Analysis;
%Analysis(Cmax,1);
%Analysis(AUCt,2);
%Analysis(AUCi,3);
/* Scaled average BE'*/
%macro Analysis(Par,Code);
proc Mixed data=scavbe1;
class seq;
model Ln&Par =seq/ddfm=satterth;
estimate "&Par" intercept 1 seq 0.5 0.5/e cl alpha=0.1;
ods output CovParms=iout1&Code;
ods output Estimates=iout2&Code;
ods output NObs=iout3&Code;
title1 'SCALED Average BE';
title2 "&Par-Analysis";
run;
%mend Analysis;
%Analysis(Cmax,1);
%Analysis(AUCt,2);
%Analysis(AUCi,3);
Please let me know if any idea or thoughts?
Q) Two-Period Replicated Crossover Designs
For this Two-Period Replicated Crossover Designs i.e. the modified Balaam design (TR, RT, RR) -----How to calculate Sample size using R-Software.
Regards
Kotu
Please give me your valuable inputs.
Q) As per Recent FDA Draft Guidance they introduced 3-period, 2 -sequence full replicate study design.
Replicated crossover designs:
Other fully replicated crossover designs are also possible. For example, a three-period design, as shown below, could be used. A fully replicated design can estimate the subject-by-formulation interaction variance components.
I am unable to calculate Estimates as per the below SAS code for Reference variability and Scaled average bioequivalence.
/*TRT and RTR*/ /*Reference Variability*/
%macro Analysis(Par,Code);
proc Mixed data=scavbe;
class seq;
model &Par =seq/ddfm=satterth;
estimate "&Par" intercept 1 seq 0.5 0.5/e cl alpha=0.1;
ods output CovParms=dout1&Code;
ods output Estimates=dout2&Code;
ods output NObs=dout3&Code;
title1 ‘Intra subject variability of Reference';
title2 "&Par-Analysis";
run;
%mend Analysis;
%Analysis(Cmax,1);
%Analysis(AUCt,2);
%Analysis(AUCi,3);
/* Scaled average BE'*/
%macro Analysis(Par,Code);
proc Mixed data=scavbe1;
class seq;
model Ln&Par =seq/ddfm=satterth;
estimate "&Par" intercept 1 seq 0.5 0.5/e cl alpha=0.1;
ods output CovParms=iout1&Code;
ods output Estimates=iout2&Code;
ods output NObs=iout3&Code;
title1 'SCALED Average BE';
title2 "&Par-Analysis";
run;
%mend Analysis;
%Analysis(Cmax,1);
%Analysis(AUCt,2);
%Analysis(AUCi,3);
Please let me know if any idea or thoughts?
Q) Two-Period Replicated Crossover Designs
For this Two-Period Replicated Crossover Designs i.e. the modified Balaam design (TR, RT, RR) -----How to calculate Sample size using R-Software.
Regards
Kotu
Complete thread:
- Data analysis and sample size for replicate study designs as per recent FDA guidancebalakotu 2023-05-23 12:16 [Regulatives / Guidelines]