A00-280 無料問題集「SASInstitute SAS Certified Clinical Trials Programmer Using SAS 9」

（A）Use PROC DATASETS with SELECT and MODIFY statements

（B）Use a DATA step with conditional OUTPUT statements

（C）Use PROC COPY with SELECT statements

（D）Use PROC TRANSPOSE with a WHERE clause to omit records with missing VISIT values

（A）152

（B）missing

（C）157

（D）151

（A）Use DEFINE statements with the WIDTH= option set large enough to print all values for each variable

（B）Use DEFINE statements where FLOW is specified for each numeric variable

（C）Specify COLWIDTH= option with a value large enough to print all values in the data

（D）Use a FORMAT statement with formats large enough to print all values for each numeric variable

（A）One of the two data sets has multiple observations with the same value for SUBJI

（B）There are multiple observations with the same value for SUBJID in both data sets.

（C）The variable VISIT occurs in both data sets but is not included in the BY statement.

（D）There are no observations with matching values for SUBJID in either data set.

（A）Option D

（B）Option B

（C）Option C

（D）Option A

（A）age = int((randdt-birthdt)/365.25);

（B）age= int(yrdif(birthdt,randdt, "act/365.25" ));

（C）age = int((birthdt-randdt)/365.25);

（D）age = int((today()-birthdt)/365.25);

（A）-11

（B）11

（C）-23

（D）23

（A）retain score ;
if first.subject then LOCF = . ;
if score ^= . then LOCF = score ;

（B）retain LOCF ;
if first.subject then LOCF = . ;
if score ^= . then LOCF = score ;

（C）if first.subject then LOCF = . ; if score = . then LOCF = lag(score) ;

（D）LOCF = lag(score) ; if first.subject then LOCF = . ; if score ^= . then LOCF = score ;

（A）NOTES

（B）INFO

（C）MSGLEVEL=I

（D）INVALIDDATA='I'