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ADCVCMR Analysis Dataset
Example 2
The dataset above can also be set up to provide multivariate analyses by taking the lab tests of interest, transposing and merging with the ADCVNTP dataset. In that case, the records from LB are not needed as a row. The stratification variables such as BSA and ACEINHFL are carried over, but not HEIGHTW or WEIGHTW which were used to compute BSA values.
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Display | Table 14.xx.xx Percent Change in Left Ventricular Ejection Fraction Percent Over Time (Yearly) |
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| Analysis Result | Comparison of Percent Change of Ejection Fraction for the Treatment Groups Over Time ( yearly) |
| Analysis Variables(s) | CHG |
| Analysis Reason | Primary efficacy endpoint as prespecified in the SAP |
| Analysis Purpose | Primary outcome measure |
Data References (incl. selection criteria) | PARAMCD = "LVEFC" 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. */ DATA TWO; SET ADCVCMR; /* 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 = "LVEFC"; RUN; PROC MIXED DATA=ADCVNTP; CLASS STUYDID TRT01P AVISITN; MODEL PCHG=AVISITN*TRT01P/Solution; RANDOM INTERCEPT / SUBJECT=STUYDID TYPE=UN; LSMEANS TRT01P*AVISITN/ CL PDIFF; RUN; |
Table 3. This This example uses the dataset ADCVNTP, selecting for the parameter "N-Terminal ProB-type Natriuretic Peptide (IU/L)".
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