...
Ejection Fraction
- change in ejection fraction, would expect a decline in EF of 2-3% per year, concerning if rapid progression
, i.e., 10% decline or more- Use absolute change, updated to 5% decline for 1 year
NTproBNP
- % change over a period of time – a decrease is correlated with improvement, measured annually
...
Measuring LVEF regularly can show the rate of decline in left ventricle function for a patient with DMD. Therefore, it was selected as an endpoint for this example to measure whether a course of therapy may slow the progression of heart failure for the patient. The second endpoint chosen, NT-proBNP, is a biomarker that may be used to predict or diagnose heart failure.
This section illustrates example analysis datasets for the following endpoints:
- Percent change in ejection fraction over time (1 year)
- Decline in ejection fraction over time (1 year) grouped by a decline greater than 5%-5.0%
- Percent change in NTproBNP NT-proBNP over time (1 year)
Source Data
The SDTM examples used as the source data are from Section 2.1, Basic Systolic Function. The ADSL draws from the DM dataset. The CV dataset shows two visits for subject DMD-EF-01-101. The records records in the CV dataset for which CVTESTCD = "LVEF_C" and "RVEF_C" were selected for analysis. The records in the LB dataset where LBTESTCD = "BNPPRONT" were used to compute the percent change over time and as a potential covariate. Both SDTM domains are used in one analysis dataset to demonstrate the flexibility of ADaM and to show that the various SDTM domains can be combined into one dataset both as rows and also as covariates.
Example Analysis Datasets
The following tables below show the analysis dataset metadata and metadata and parameters used for this example.
-
Definexmltable | ||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ||||||||||||||||||||||||||||||||||||||||||
|
ADSL
The ADSL contains subject The ADaM model requires a one-record-per-subject analysis dataset, ADSL, which contains subject characteristics and covariates that are important for analyses. Also, stratification Stratification variables can be created in the ADSL to subset the data. More than one SDTM dataset is may be used as input to the ADSL. This is a simplified example ADSL . As an example, a flag indicating concomitant medication dataset; the ADaMIG should be referenced for additional variables.
For this example:
- Analysis age (AAGE) was included to provide age with more precision.
- A flag indicating the use of ACE inhibitors (ACEINHFL)
...
- is shown with example derivation from the CM dataset.
- Body surface area at screening (BSASC)
...
- was derived from the VS dataset using height and weight at the screening visit.
...
- There are many possible calculations for BSA; for this example, the Du Bois method was used.[11] Note that the screening visit and visit 1 occurred at the same time in this example.
...
Definexmltable | |||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
The ADCVNTP dataset includes tests pertinent to these analyses. The records from CV where CVTESTCD = "LVEF_C" and "RVEF_C" and the records from LB where LBTESTCD = "BNPPRONT" were selected. Many lab draws may occur throughout the year, but only those linked to a specific visit were included. By subsetting the LB dataset by LBLNKID not missing, laboratory data that aligns with CV data can be filtered out and sorted using USUBJID and VISIT. If LBLNKID is not available, a windowing strategy could be used to select the laboratory draw closest to that visit for merging with CV, computed in AVISIT.
The ADCVMR dataset is an efficacy analysis dataset with only a few records for more complex modeling of changes in ejection fraction, plus the ProB-type test results. It is an ADaM Basic Data Structure (BDS) dataset, with additional variables added from ADCVNTP.
ADSL Analysis Dataset
This is a simplified example ADSL dataset; it is expected that the ADaMIG is referenced. Analysis age (AAGE) was included to provide age with more precision. The Body Surface Area (BSA) at screening is named BSASC as per the ADAMIG v1.2. There are many possible calculations for BSA; for this example, the Du Bois method was used (ref: https://www.calculator.net/body-surface-area-calculator.html).
Definexmltable | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Variable Name | Variable Label | Type | Codelist/Controlled Terms/Format | Source | Derivation/Comment | STUDYID | Study Identifier | Char | DM.STUDYID USUBJID | Unique Subject Identifier | Char | DM.USUBJID BRTHDT | Date of Birth | Num | date9. | Date portion of DM.BRTHDTC
AAGE | Analysis Age | Num | Age as screening, computed by DM.RFICDTC - BRTHDTC as continuous variable. Note that some countries do not allow capturing date of birth, so this could be computed by capturing age in years and months on a CRF. | AGE | Age | Num | DM.AGE AGEU | Age Units | Char | YEARS | DM.AGEU SEX Sex | Char | (SEX) | DM.SEX RACE Race | Num | (RACE) | DM.RACE TRTSDT | Date of First Exposure to Treatment | Num | date9. | Date portion of DM.RFSTDTC converted to numeric and displayed in a format such as date9. | RFICDT | Date of Informed Consent Num | date9. | Date portion of DM.RFICDTC converted to numeric and displayed in a format such as date9. | DTHDT | Date of Death Num | date9. | Date portion of DM.RFSTDTC converted to numeric and displayed in a format such as date9. | DTHFL | Subject Death Char | Y | DM.DTHFL | TRT01P | Planned Treatment for Period 01 Char | Drug A, Drug B | Predecessor: DM.ARM. May be changed to lower case or more descriptive term for use in tables and listings. TRT01A | Actual Treatment for Period 01 Char | Drug A, Drug B | Predecessor: DM.ACTARM. Note: Actual treatment matches planned treatment unless there is a reason subject does not take planned drug. ITTFL Intent-To-Treat Population Flag Char Y; N Derive the intent-to-treat population as per the protocol and SAP. | ACEINHFL ACE Inhibitor Medications Flag Char Y; N Select a list of ACE inhibitor medications from concomitant medications (CM) domain as per Statistical Analysis Plan or Protocol. Set to "Y" if these medications were taken during the study, and "N" if they are absent. Can be used to subset or to exclude the population who took ACE inhibitors. HEIGHTSC Height (cm) at Screening Num Set to VS.VSSTRESN where VS.VSTESTCD = "HEIGHT" and VISITNUM= 1 (or screening visit for your study). WEIGHTSC Weight (kg) at Screening Num Set to VS.VSSTRESN where VS.VSTESTCD = "WEIGHT" and VISITNUM = 1 (or screening visit for your study). BSASC Body Surface Area at Screening Num Select where VISITNUM = 1 (or screening visit for your study). Compute from HEIGHT and WEIGHT, using the Du Bois method. BSA = 0.007184 × W0.425 × H0.725 There are multiple methods and the study protocol should describe which one to use (e.g., Du Bois, Mosteller, Haycock, Gehan & George, Boyd, Fujimoto, Takahira, and Schlich).
|
Dataset wrap | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Dataset wrap | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
ADCVNTP Analysis Dataset
In this example, columns for derived variables BASE, CHG, PCHG and CHGCAT1 have been added to facilitate analyses of the efficacy endpoints. Specifically, example demographic data for ADSL were created for an 8 year old male. Also, a custom variable for BSA at baseline (BSABL), and an example of a stratification variable for subjects with was added from ADSL.
...
Dataset | ADCVNTP |
---|---|
Level | Value |
Purpose | Analysis |
OID | AVAL |
...
Categorize the value of CHGCAT1 as follows: If CHG >= 5.00 THEN CHGCAT1 = "Decline >=5%".
Else if CHG not missing and CHG < 5.00 THEN CHGCAT1 = "Decline <5%"
...
Categorize the value of CHCAT1 as follows: "Increase >100 pg/mL"; "Increase <=100 pg/mL"; "No increase"
|
ADEFNTP
The ADEFNTP includes tests pertinent to analyses. The records from CV (CVTESTCD = "LVEF_C" and "RVEF_C") and the records from LB (LBTESTCD = "BNPPRONT") were selected. Many lab draws may occur throughout the year, but only those linked to a specific visit were included. By subsetting the LB dataset by LBLNKID not missing, laboratory data that aligns with CV data can be filtered out and sorted using USUBJID and VISIT. If LBLNKID is not available or the LB dataset does not contain VISIT, a windowing strategy could be used to select the laboratory draw closest to that visit using date of lab draw (LB.LBDTC.).
Jira | ||||||||
---|---|---|---|---|---|---|---|---|
|
Definexmltable | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
In this example, variables BASE, CHG, PCHG, and CHGCAT1 were added to facilitate analyses of the efficacy endpoints. the variables SRCDOM, SRCVAR, and SRCSEQ provide traceability to the combined source datasets. The tables below represent parameter value level lists for applicable variables.
Definexmltable | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
| ||||||||||||
|
Definexmltable | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
| ||||||||||||
|
Definexmltable | ||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ||||||||||||||||||
|
In this table the ADaM parameters are used rather than the source SDTM data.
Definexmltable | ||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ||||||||||||||||||||||||||||||||||||||||||||||||
|
Dataset wrap | ||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ||||||||||||||||||||||||||||||||||||
|
...
Dataset | ADCVNTP |
---|---|
Level | Variable |
Purpose | Analysis |
Name | Variable |
...
CV.STUDYID
...
CV.USUBJID
...
ADSL.BRTHDT
...
ADSL.AAGE
...
ADSL.AGEU
...
SEX
...
DM.SEX
...
RACE
...
DM.RACE
...
Date of First Exposure to Treatment
...
Planned Treatment for Period 01
...
Actual Treatment for Period 01
...
ITTFL
...
Intent-To-Treat Population Flag
...
Char
...
Y; N
...
ADSL.ITTFL
...
HEIGHT
...
Height (cm)
...
Num
...
Set to VS.VSSTRESN where VS.VSTEST = "HEIGHT" by visit.
...
WEIGHT
...
Weight (kg)
...
Num
...
Set to VS.VSSTRESN where VS.VSTEST = "WEIGHT" by visit.
...
Compute from HEIGHT and WEIGHT at each visit, using the Du Bois method. BSA = 0.007184 × W0.425 × H0.725
There are multiple methods and the study protocol should describe which one to use (e.g., Mosteller, Haycock, Gehan & George, Boyd, Fujimoto, Takahira, and Schlich).
...
ACEINHFL
...
ACE Inhibitor Medications Flag
...
Char
...
Y; N
...
ADSL.ACEINHFL
...
Left Ventricular Ejection Fraction, Calculated (%);
Right Ventricular Ejection Fraction, Calculated (%);
N-Terminal ProB-type Natriuretic Peptide (pg/mL)
...
CV.CVTEST
LB.LBTEST
...
LVEF_C;
RVEF_C;
BNPPRONT
...
CV.CVTESTCD
LB.LBTESTCD
...
Number PARAMCD as follows:
LVEF_C = "1"
RVEF_C = "2"
BNPPRONT = "3"
...
See Parameter Value Metadata
...
Visit 1 (Baseline);
Visit 6 (1 Year)
...
If CV.VISIT = "VISIT 1" then AVISIT = "Visit 1 (Baseline)".
If CV.VISIT = "VISIT 6" then AVISIT = "Visit 6 (1 Year)".
...
CV.VISITNUM
LB.VISITNUM
...
VISIT 1; VISIT 6
...
CV.VISIT
LB.VISIT
...
If CV.VISIT = "VISIT 1" then ABLFL = "Y".
...
Set BASE to AVAL from the record for that subject and parameter where ABLFL = "Y".
Populate BASE for additional visits by merging the value of BASE in the baseline record by USUBJID and PARAMCD.
...
Decline >=5%; Decline <5%; Increase GT 100 pg/mL
...
CV; LB
...
CV.CVSEQ
LB.LBSEQ
...
Efficacy Analysis Example 1
This example dataset shows the findings and additional analysis variables associated with:
- Left Ventricular Ejection Fraction, Calculated (%)
- Right Ventricular Ejection Fraction, Calculated (%)
- N-Terminal ProB-type Natriuretic Peptide (pg/mL)
Dataset wrap | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
ADCVCMR Analysis Dataset
The dataset above can also be set up to provide multivariate analyses by taking the lab tests of interest or other analysis datasets, and merging variables of interest with the ADCVNTP dataset. This summary dataset is created from other ADaM datasets as the source and only variable used in the analysis are kept.
...
Dataset | ADCVCMR |
---|---|
Level | Variable |
Purpose | Analysis |
Name | Variable |
...
ADCVNTP.STUDYID
...
ADCVNTP.USUBJID
...
ADCVNTP.BRTHDT
...
ADCVNTP.AAGE
...
ADCVNTPL.AGEU
...
SEX
...
ADCVNTPL.SEX
...
RACE
...
ADCVNTPL.RACE
...
Date of First Exposure to Treatment
...
Planned Treatment for Period 01
...
ITTFL
...
Intent-To-Treat Population Flag
...
Char
...
Y; N
...
ADCVNTP.ITTFL
...
ADCVNTP.BSASC
...
ADCVNTP.BSA
...
ACEINHFL
...
ACE Inhibitor Medications Flag
...
Char
...
Y; N
...
ADCVNTP.ACEINHFL
...
BNPPRONT
...
Num
...
BNPPRONT = AVAL where PARAMCD = ADCVNTP.BNPPRONT, and merge by USUBJID and AVISITN.
Note: there are many ways to add this including transposing the data.
...
Left Ventricular Ejection Fraction, Calculated (%);
Right Ventricular Ejection Fraction, Calculated (%);
N-Terminal ProB-type Natriuretic Peptide (pg/mL)
...
ADCVNTP.PARAM
...
LVEF_C;
RVEF_C;
BNPPRONT
...
ADCVNTP.PARAMCD
...
ADCVNTP.PARAMN
...
ADCVNTP.AVAL
...
Visit 1 (Baseline);
Visit 6 (1 Year)
...
ADCVNTP.AVISIT
...
ADCVNTP.AVISITN
...
Decline >=5%; Decline <5%; Increase GT 100 pg/mL
...
ADCVNTP.CHGCAT1
Efficacy Analysis Example 2
...
Show | true |
---|---|
Name | adcvcmr |
...
tableid | adcvcmr |
---|
...
Example Analysis Results Metadata (ARM) Tables
For more details on ARM, see the ADaMIG and the Analysis Results Metadata (ARM) v1.0 for Define-XML v2.0 (https://www.cdisc.org/standards/foundational/adam).
Table 1. A simple comparison of change by treatment groups over one year.
...
Display
...
Table 14.xx.xx Change in Left Ventricular Ejection Fraction Percent Over 1 Year
...
Data References
(incl. selection criteria)
...
PARAMCD = "LVEF_C"
Where ITTFL = "Y" and AVISITN = 6;
...
Comparison of Means with 95% confidence interval
...
Programming Statements
(Add programming language statements here: SAS, R, etc.)
...
Proc means DATA=ADCVNTP 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;
Table 2. This table demonstrates a model over multiple time points, adding some of the covariates that were retained in the analysis dataset.
...
Display
...
Table 14.xx.xx Percent Change in Left Ventricular Ejection Fraction Percent Over Time (Yearly)
...
Data References
(incl. selection criteria)
...
PARAMCD = "LVEF_C"
Where ITTFL = "Y"
...
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=ADCVNTP;
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;
RUN;
|
ADEFMRI
The ADEFMRI is an efficacy analysis dataset with only a few records for more complex modeling of changes in ejection fraction, plus the proB-type test results. It is an ADaM Basic Data Structure (BDS) dataset
, with additional variables added from ADEFNTP dataset. Jira showSummary false server Issue Tracker (JIRA) serverId 85506ce4-3cb3-3d91-85ee-f633aaaf4a45 key TAUGDMDCIS-15
The dataset can can be used for analyses with multiple covariates
Jira | ||||||||
---|---|---|---|---|---|---|---|---|
|
Definexmltable | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Dataset wrap | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Table 3. This example uses the dataset ADCVCMR, with BNPPRONT as an additional covariate.
...
Display
...
Table 14.xx.xx Percent change in NTproBNP over 1 Year
...
Data References
(incl. selection criteria)
...
PARAMCD = L_VEFC;
ITTFL = "Y" and AVISIT GE 6;
...
Multiple Regression Model
Proc reg data=ADCVCMR ;
Where PARAMCD = L_VEFC and ITTFL = "Y" and AVISIT GE 6;
Model PCHG = AAGE SEX RACE BNPPRONT;
...
Pagenav2