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Table 14.xx.xx Percent Change in Left Ventricular Ejection Fraction Percent Over Time (Yearly)

Analysis ResultComparison of Percent Change of Ejection Fraction for the Treatment Groups Over Time (yearlyYearly)
Analysis Variables(s)CHG
Analysis ReasonPrimary efficacy endpoint as prespecified in the SAP
Analysis PurposePrimary outcome measure

Data References

(incl. selection criteria)

PARAMCD = "LVEF_C"

Where ITTFL = "Y"

Documentation

 The The mixed model using lsmeans to compare treatment groups

Programming Statements 

(Add programming language statements here: SAS, R, etc.)

/* Note that CHG is only computed post-baseline, so subset for the yearly visits, i.e. 6, 12, 18, etc. */

Proc  Proc mixed DATA=ADCVNTP;

Class  Class TRT01P AVISITN;

/* Subset by param, as there are two parameters with CHG calculated*/

Where ITTFL = "Y" and AVISITN IN (6, 12, 18, 24, 36, 48) and PARAMCD = "LVEF_C"; 

Model PCHG=AVISITN*TRT01P/Solution;

RANDOM INTERCEPT / SUBJECT=STUYDID TYPE=UN;

LSMEANS TRT01P*AVISITN/ CL PDIFF;

RUNrun;


Table 3. This example uses the dataset ADCVCMR, with AGE, SEX, RACE, and BNPPRONT as covariates.

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Table 14.xx.xx Percent change in NTproBNP over 1 Year

Analysis ResultComparison of Percent Change of NTproBNP for the Treatment Groups Over a period of timeTime.
Analysis Variables(s)PCHG
Analysis ReasonPrimary efficacy endpoint as prespecified in the SAP
Analysis PurposePrimary outcome measure

Data References

(incl. selection criteria)

PARAMCD = "L_VEFC";

ITTFL = "Y" and AVISITN GE 6;

Documentation

Multiple Regression Model


Proc reg data=ADCVCMR;

Where PARAMCD = "L_VEFC" and ITTFL = "Y" and AVISITN GE 6;

Model PCHG = AAGE SEX RACE BNPPRONT;

run;

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