Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

...

Display

Table 14.xx.xx Change in Left Ventricular Ejection Fraction Percent Over 1 Year

Analysis ResultComparison of Change of Ejection Fraction Percent for the Treatment Groups (1 Year)
Analysis Variables(s)CHG
Analysis ReasonPrimary efficacy endpoint as specified in the SAP
Analysis PurposePrimary outcome measure

Data References

(incl. selection criteria)

PARAMCD = "LVEF_C"

Where ITTFL = "Y" and AVISITN = 6;

Documentation

Comparison of means with 95% confidence interval

Programming Statements 

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

Proc means DATA=ADCVNTP ADEFNTP N MEAN clm STDERR;

/* Subset the data. Can run again selecting for paramcd="RVEF_C"*/

Where PARAMCD = "LVEF_C" and ITTFL = "Y" and AVISITN = 6;

Class TRT01P;

Var CHG; 

run;

...

Display

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 (Yearly)
Analysis Variables(s)CHG
Analysis ReasonPrimary efficacy endpoint as specified in the SAP
Analysis PurposePrimary outcome measure

Data References

(incl. selection criteria)

PARAMCD = "LVEF_C"

Where ITTFL = "Y"

Documentation

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 mixed DATA=ADCVNTPADEFNTP;

Class TRT01P AVISITN;

/* Subset by param, as there are 2 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;

run;

...

Display

Table 14.xx.xx Percent change in NT-proBNP over time (1 year)


Comparison of Percent Change of Ejection Fraction NT-proBMP for the Treatment Groups Over Time (Yearly)
Analysis Variables(s)CHG
Analysis ReasonPrimary efficacy endpoint as specified in the SAP
Analysis PurposePrimary outcome measure

Data References

(incl. selection criteria)

PARAMCD = "BNPPRONT"

Where ITTFL = "Y"

Documentation

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 mixed DATA=ADCVNTPADEFNTP;

Class TRT01P AVISITN;

/* Subset by param, as there are 2 parameters with CHG calculated*/

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

Model PCHG=AVISITN*TRT01P/Solution;

RANDOM INTERCEPT / SUBJECT=STUYDID TYPE=UN;

LSMEANS TRT01P*AVISITN/ CL PDIFF;

run;

...

Table 4. This example uses the dataset ADCVCMRADEFMRI, with AGE, SEX, RACE, and BNPPRONT as covariates.

Display

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 Time.
Analysis Variables(s)PCHG
Analysis ReasonPrimary efficacy endpoint as specified 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=ADCVCMRADEFMRI;

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

By TRT01P;

Model PCHG = AAGE SEX RACE BNPPRONT

Jira
showSummaryfalse
serverIssue Tracker (JIRA)
serverId85506ce4-3cb3-3d91-85ee-f633aaaf4a45
keyTAUGDMDCIS-17
;

run;

...