As a clinical trial statistician or programmer, answer three short questions in Your review: the task, the inputs and outputs, and the AI-assisted review. Agreeing with all three approves this benchmark; disagreeing with any needs a comment. Propose a fix with the Edit button on any source file, or add it to your comments.
We suggest spending no more than 5 minutes on a review. The other tabs beside Your review are background for assessment, not under review.
Summary
README.mdPublic entries: Python and R. Passing coverage requires an installed inventory.
Goal: derive each adverse event's analysis start date and time
(ASTDTM), its date (ASTDT), its time of day (ASTTM) and the time
imputation flag (ASTTMF), and submit them in a Dataset-JSON file with
the data-definition document.
Input: SDTM adverse event (AE) records with the collected start
(AESTDTC) as ISO 8601 text, collected to the second, the minute, the
hour, the day or the month.
Variables:
AETERMis the adverse event as reported.ASTDTMis the start date and time: a start collected to the hour or the minute takes zero for the rest of its time, and a start collected as a date alone takes midnight; missing when the start was not collected to the day.ASTDTis the date part ofASTDTM; missing whenASTDTMis.ASTTMis the time of day ofASTDTMcounted in seconds since midnight, so08:30:15is30615, and it is shown ashh:mm:ss; missing whenASTDTMis.ASTTMFsays which part of the start time was imputed:Hwhen the start was collected without a time,Mwhen it stops at the hour andSwhen it stops at the minute; blank when the time was collected to the second or there is no start.
Note: in the Dataset-JSON file and the data-definition document
ASTTM is an eight-byte integer shown with the SAS format TIME8.,
beside ASTDT with DATE9. and ASTDTM with DATETIME20.. A time of
zero flagged H is an imputed midnight rather than a collected one.
Inputs
Under review1 source fileinput/ae.csv
Edit5 rows| STUDYID | USUBJID | AESEQ | AETERM | AESTDTC |
|---|---|---|---|---|
| CATH | 1 | HEADACHE | 2025-03-04T08:30:15 | |
| CATH | 2 | NAUSEA | 2025-03-06T14:05 | |
| CATH | 1 | RASH | 2025-03-10 | |
| CATH | 2 | DIZZINESS | 2025-03 | |
| CATH | 1 | FATIGUE | 2025-03-12T21 |
Expected output
Under review5 expected rowsexpected/adae.csv
Edit5 rows| STUDYID | USUBJID | AESEQ | AETERM | ASTDTM | ASTDT | ASTTM | ASTTMF |
|---|---|---|---|---|---|---|---|
| CATH | 1 | HEADACHE | 2025-03-04T08:30:15 | 2025-03-04 | 30615 | — | |
| CATH | 2 | NAUSEA | 2025-03-06T14:05:00 | 2025-03-06 | 50700 | S | |
| CATH | 1 | RASH | 2025-03-10T00:00:00 | 2025-03-10 | 0 | H | |
| CATH | 2 | DIZZINESS | — | — | — | — | |
| CATH | 1 | FATIGUE | 2025-03-12T21:00:00 | 2025-03-12 | 75600 | M |
expected/adae.json
Edit{
"datasetJSONCreationDateTime": "2026-09-11T00:00:00",
"datasetJSONVersion": "1.1.0",
"fileOID": "CATH.adam.Define-XML_2.1.ADAE",
"sourceSystem": {"name": "yamaa", "version": "1.0"},
"studyOID": "STDY.CATH",
"metaDataVersionOID": "MDV.CATH.adam",
"metaDataRef": "define.xml",
"itemGroupOID": "IG.ADAE",
"records": 5,
"name": "ADAE",
"label": "Adverse Events Analysis Dataset",
"columns": [
{"itemOID": "IT.ADAE.STUDYID", "name": "STUDYID", "label": "Study Identifier", "dataType": "string", "length": 4, "keySequence": 1},
{"itemOID": "IT.ADAE.USUBJID", "name": "USUBJID", "label": "Unique Subject Identifier", "dataType": "string", "length": 16, "keySequence": 2},
{"itemOID": "IT.ADAE.AESEQ", "name": "AESEQ", "label": "Sequence Number", "dataType": "integer", "length": 8, "keySequence": 3},
{"itemOID": "IT.ADAE.AETERM", "name": "AETERM", "label": "Reported Term for the Adverse Event", "dataType": "string", "length": 9},
{"itemOID": "IT.ADAE.ASTDTM", "name": "ASTDTM", "label": "Analysis Start Date/Time", "dataType": "datetime", "targetDataType": "integer", "length": 8, "displayFormat": "DATETIME20."},
{"itemOID": "IT.ADAE.ASTDT", "name": "ASTDT", "label": "Analysis Start Date", "dataType": "date", "targetDataType": "integer", "length": 8, "displayFormat": "DATE9."},
{"itemOID": "IT.ADAE.ASTTM", "name": "ASTTM", "label": "Analysis Start Time", "dataType": "integer", "length": 8, "displayFormat": "TIME8."},
{"itemOID": "IT.ADAE.ASTTMF", "name": "ASTTMF", "label": "Analysis Start Time Imputation Flag", "dataType": "string", "length": 1}
],
"rows": [
["CATH", "CATH-UCSD-0001", 1, "HEADACHE", "2025-03-04T08:30:15", "2025-03-04", 30615, null],
["CATH", "CATH-UCSD-0001", 2, "NAUSEA", "2025-03-06T14:05:00", "2025-03-06", 50700, "S"],
["CATH", "CATH-UCSD-0002", 1, "RASH", "2025-03-10T00:00:00", "2025-03-10", 0, "H"],
["CATH", "CATH-UCSD-0002", 2, "DIZZINESS", null, null, null, null],
["CATH", "CATH-MCGILL-0003", 1, "FATIGUE", "2025-03-12T21:00:00", "2025-03-12", 75600, "M"]
]
}
expected/define.xml
EditDefine-XMLDefine-XML 2.1.11: CATH
Example study submitting adverse event onset times in Dataset-JSON; CATH-01; ADaMIG 1.3
| Dataset | Description | Class | Structure | Purpose | Keys | Documentation | Location |
|---|---|---|---|---|---|---|---|
| ADAE | Adverse Events Analysis Dataset | OCCURRENCE DATA STRUCTURE | One record per adverse event | Analysis | STUDYID, USUBJID, AESEQ | adae.json |
ADAE
| Variable | Label / Description | Type | Length or Display Format | Controlled Terms or ISO Format | Origin / Source / Method / Comment |
|---|---|---|---|---|---|
| STUDYID | Study Identifier | text | 4 | Predecessor; AE.STUDYID | |
| USUBJID | Unique Subject Identifier | text | 16 | Predecessor; AE.USUBJID | |
| AESEQ | Sequence Number | integer | 8 | Predecessor; AE.AESEQ | |
| AETERM | Reported Term for the Adverse Event | text | 9 | Predecessor; AE.AETERM | |
| ASTDTM | Analysis Start Date/Time | integer | DATETIME20. | Derived; Sponsor AESTDTC completed with the earliest time its collected parts admit; missing when AESTDTC carries no complete date. | |
| ASTDT | Analysis Start Date | integer | DATE9. | Derived; Sponsor Date part of ASTDTM. | |
| ASTTM | Analysis Start Time | integer | TIME8. | Derived; Sponsor Time part of ASTDTM as seconds since midnight. | |
| ASTTMF | Analysis Start Time Imputation Flag | text | 1 | Derived; Sponsor H when the start was collected without a time, M when it stops at the hour and S when it stops at the minute. |
Original source
<?xml version="1.0" encoding="UTF-8"?>
<ODM xmlns="http://www.cdisc.org/ns/odm/v1.3" xmlns:def="http://www.cdisc.org/ns/def/v2.1" xmlns:xlink="http://www.w3.org/1999/xlink" ODMVersion="1.3.2" FileType="Snapshot" FileOID="CATH.adam.Define-XML_2.1" CreationDateTime="2026-09-11T00:00:00" SourceSystem="yamaa" SourceSystemVersion="1.0" def:Context="Submission">
<Study OID="STDY.CATH">
<GlobalVariables>
<StudyName>CATH</StudyName>
<StudyDescription>Example study submitting adverse event onset times in Dataset-JSON</StudyDescription>
<ProtocolName>CATH-01</ProtocolName>
</GlobalVariables>
<MetaDataVersion OID="MDV.CATH.adam" Name="CATH adam metadata" def:DefineVersion="2.1.11">
<def:Standards>
<def:Standard OID="STD.ADaMIG" Name="ADaMIG" Type="IG" Version="1.3" Status="Final"/>
</def:Standards>
<ItemGroupDef OID="IG.ADAE" Name="ADAE" Purpose="Analysis" SASDatasetName="ADAE" Repeating="Yes" IsReferenceData="No" def:Structure="One record per adverse event" def:ArchiveLocationID="LF.ADAE" def:StandardOID="STD.ADaMIG">
<Description>
<TranslatedText xml:lang="en">Adverse Events Analysis Dataset</TranslatedText>
</Description>
<ItemRef ItemOID="IT.ADAE.STUDYID" OrderNumber="1" Mandatory="Yes" KeySequence="1"/>
<ItemRef ItemOID="IT.ADAE.USUBJID" OrderNumber="2" Mandatory="Yes" KeySequence="2"/>
<ItemRef ItemOID="IT.ADAE.AESEQ" OrderNumber="3" Mandatory="Yes" KeySequence="3"/>
<ItemRef ItemOID="IT.ADAE.AETERM" OrderNumber="4" Mandatory="Yes"/>
<ItemRef ItemOID="IT.ADAE.ASTDTM" OrderNumber="5" Mandatory="No" MethodOID="MT.ADAE.ASTDTM"/>
<ItemRef ItemOID="IT.ADAE.ASTDT" OrderNumber="6" Mandatory="No" MethodOID="MT.ADAE.ASTDT"/>
<ItemRef ItemOID="IT.ADAE.ASTTM" OrderNumber="7" Mandatory="No" MethodOID="MT.ADAE.ASTTM"/>
<ItemRef ItemOID="IT.ADAE.ASTTMF" OrderNumber="8" Mandatory="No" MethodOID="MT.ADAE.ASTTMF"/>
<def:Class Name="OCCURRENCE DATA STRUCTURE"/>
<def:leaf ID="LF.ADAE" xlink:href="adae.json">
<def:title>adae.json</def:title>
</def:leaf>
</ItemGroupDef>
<ItemDef OID="IT.ADAE.STUDYID" Name="STUDYID" DataType="text" Length="4" SASFieldName="STUDYID">
<Description>
<TranslatedText xml:lang="en">Study Identifier</TranslatedText>
</Description>
<def:Origin Type="Predecessor">
<Description>
<TranslatedText xml:lang="en">AE.STUDYID</TranslatedText>
</Description>
</def:Origin>
</ItemDef>
<ItemDef OID="IT.ADAE.USUBJID" Name="USUBJID" DataType="text" Length="16" SASFieldName="USUBJID">
<Description>
<TranslatedText xml:lang="en">Unique Subject Identifier</TranslatedText>
</Description>
<def:Origin Type="Predecessor">
<Description>
<TranslatedText xml:lang="en">AE.USUBJID</TranslatedText>
</Description>
</def:Origin>
</ItemDef>
<ItemDef OID="IT.ADAE.AESEQ" Name="AESEQ" DataType="integer" Length="8" SASFieldName="AESEQ">
<Description>
<TranslatedText xml:lang="en">Sequence Number</TranslatedText>
</Description>
<def:Origin Type="Predecessor">
<Description>
<TranslatedText xml:lang="en">AE.AESEQ</TranslatedText>
</Description>
</def:Origin>
</ItemDef>
<ItemDef OID="IT.ADAE.AETERM" Name="AETERM" DataType="text" Length="9" SASFieldName="AETERM">
<Description>
<TranslatedText xml:lang="en">Reported Term for the Adverse Event</TranslatedText>
</Description>
<def:Origin Type="Predecessor">
<Description>
<TranslatedText xml:lang="en">AE.AETERM</TranslatedText>
</Description>
</def:Origin>
</ItemDef>
<ItemDef OID="IT.ADAE.ASTDTM" Name="ASTDTM" DataType="integer" Length="8" SASFieldName="ASTDTM" def:DisplayFormat="DATETIME20.">
<Description>
<TranslatedText xml:lang="en">Analysis Start Date/Time</TranslatedText>
</Description>
<def:Origin Type="Derived" Source="Sponsor"/>
</ItemDef>
<ItemDef OID="IT.ADAE.ASTDT" Name="ASTDT" DataType="integer" Length="8" SASFieldName="ASTDT" def:DisplayFormat="DATE9.">
<Description>
<TranslatedText xml:lang="en">Analysis Start Date</TranslatedText>
</Description>
<def:Origin Type="Derived" Source="Sponsor"/>
</ItemDef>
<ItemDef OID="IT.ADAE.ASTTM" Name="ASTTM" DataType="integer" Length="8" SASFieldName="ASTTM" def:DisplayFormat="TIME8.">
<Description>
<TranslatedText xml:lang="en">Analysis Start Time</TranslatedText>
</Description>
<def:Origin Type="Derived" Source="Sponsor"/>
</ItemDef>
<ItemDef OID="IT.ADAE.ASTTMF" Name="ASTTMF" DataType="text" Length="1" SASFieldName="ASTTMF">
<Description>
<TranslatedText xml:lang="en">Analysis Start Time Imputation Flag</TranslatedText>
</Description>
<def:Origin Type="Derived" Source="Sponsor"/>
</ItemDef>
<MethodDef OID="MT.ADAE.ASTDTM" Name="ADAE.ASTDTM" Type="Computation">
<Description>
<TranslatedText xml:lang="en">AESTDTC completed with the earliest time its collected parts admit; missing when AESTDTC carries no complete date.</TranslatedText>
</Description>
</MethodDef>
<MethodDef OID="MT.ADAE.ASTDT" Name="ADAE.ASTDT" Type="Computation">
<Description>
<TranslatedText xml:lang="en">Date part of ASTDTM.</TranslatedText>
</Description>
</MethodDef>
<MethodDef OID="MT.ADAE.ASTTM" Name="ADAE.ASTTM" Type="Computation">
<Description>
<TranslatedText xml:lang="en">Time part of ASTDTM as seconds since midnight.</TranslatedText>
</Description>
</MethodDef>
<MethodDef OID="MT.ADAE.ASTTMF" Name="ADAE.ASTTMF" Type="Computation">
<Description>
<TranslatedText xml:lang="en">H when the start was collected without a time, M when it stops at the hour and S when it stops at the minute.</TranslatedText>
</Description>
</MethodDef>
</MetaDataVersion>
</Study>
</ODM>
Human review and assessment
| Dataset Name | Variable Name | Variable Label | Type | Codelist/Controlled Terms | Core | Computational Method | Origin |
|---|---|---|---|---|---|---|---|
| ADAE | STUDYID | Study Identifier | character | Req | Copy value from AE.STUDYID. | Predecessor | |
| ADAE | USUBJID | Unique Subject Identifier | character | Req | Copy value from AE.USUBJID. | Predecessor | |
| ADAE | AESEQ | Sequence Number | numeric | Req | Copy value from AE.AESEQ. | Predecessor | |
| ADAE | AETERM | Reported Term for the Adverse Event | character | Req | Copy value from AE.AETERM. | Predecessor | |
| ADAE | ASTDTM | Analysis Start Date/Time | numeric | ISO 8601 | Perm | AESTDTC completed with the earliest time its collected parts admit; missing when AESTDTC carries no complete date. | Derived |
| ADAE | ASTDT | Analysis Start Date | numeric | ISO 8601 | Cond | Date part of ASTDTM. | Derived |
| ADAE | ASTTM | Analysis Start Time | numeric | Perm | Time part of ASTDTM as seconds since midnight. | Derived | |
| ADAE | ASTTMF | Analysis Start Time Imputation Flag | character | H, M, S | Cond | H when the start was collected without a time, M when it stops at the hour and S when it stops at the minute. | Derived |
| Variable | Permitted values |
|---|---|
| ASTTMF | H, M, S |
| Version | Date | Author | Description | Reviewer | Sign-off |
|---|---|---|---|---|---|
| 1.7 | 2026-10-20 | yamaa docs build | Read a specification in the 1.0 surface as its 0.5 counterpart; state that missing values stay missing where a mapping declares no missing handler, and leave out a declared missing answer that restates a handler's default | ||
| 1.6 | 2026-10-17 | yamaa docs build | Describe collected date parts written as ISO 8601 date text and times of day counted in seconds since midnight | ||
| 1.5 | 2026-10-17 | yamaa docs build | Name collected precision in words instead of letter codes; state imputation fallbacks, minimum source precision, bounds ignored outside the collected period, and invalid text with no handler as an error; describe date and datetime shifts, imputation flag codes, and partial text giving no date part | ||
| 1.4 | 2026-10-15 | yamaa docs build | State datetime precision codes through the hour and minute, and complete only the time parts a collected datetime lacks | ||
| 1.3 | 2026-09-29 | yamaa docs build | Show study codelist names, external dictionaries, and ISO 8601 formats in variable rows; list the document's codelist values and metadata | ||
| 1.2 | 2026-09-29 | yamaa docs build | Classify ADaM copies from a declared input as Predecessor and recodes as Derived, and SDTM recodes of locally derived columns as Derived | ||
| 1.1 | 2026-09-29 | yamaa docs build | Resolve lookups into the donor record they select, and give every derivation shape a plain-language rule instead of its raw YAML | ||
| 1.0 | yamaa docs build | Initial generation from spec.yaml |
prompts/adam-adae-analysis-time/full.md
Edit22 linesFollowing CDISC ADaM standards, use the provided AE dataset to create an ADAE dataset with one record per adverse event.
The output dataset should contain the following columns in this order: STUDYID, USUBJID, AESEQ, AETERM, ASTDTM, ASTDT, ASTTM, ASTTMF
ASTDTM is the analysis start date and time from AESTDTC, written as YYYY-MM-DDThh:mm:ss. A time collected to the second is used as collected. Each part of the time that was not collected takes its earliest value: a time collected to the minute gets second 00, a time collected to the hour gets minute and second 00, and a date alone starts at 00:00:00. A start collected without its day gives no ASTDTM. ASTDT is the date part of ASTDTM. ASTTM is the time of day of ASTDTM as a whole number of seconds since midnight, so 08:30:15 is 30615 and midnight is 0. ASTTMF names the first part of the time that was not collected and had to be imputed: H when the start was collected without a time, M when it stops at the hour, and S when it stops at the minute. ASTDT, ASTTM and ASTTMF have no value when there is no ASTDTM, and ASTTMF also has no value when the time was collected to the second.
Read the source datasets from /app/input and save the completed dataset as /app/output/adae.csv.
prompts/adam-adae-analysis-time/conventions.md
Edit12 linesFollowing CDISC ADaM standards, use the provided AE dataset to create an ADAE dataset with one record per adverse event.
The output dataset should contain the following columns in this order: STUDYID, USUBJID, AESEQ, AETERM, ASTDTM, ASTDT, ASTTM, ASTTMF
ASTTMF is H, M or S, or has no value. ASTDTM is written as YYYY-MM-DDThh:mm:ss, and ASTTM is a whole number of seconds since midnight.
Read the source datasets from /app/input and save the completed dataset as /app/output/adae.csv.
prompts/adam-adae-analysis-time/brief.md
Edit8 linesFollowing CDISC ADaM standards, use the provided AE dataset to create an ADAE dataset with one record per adverse event.
The output dataset should contain the following columns in this order: STUDYID, USUBJID, AESEQ, AETERM, ASTDTM, ASTDT, ASTTM, ASTTMF
Read the source datasets from /app/input and save the completed dataset as /app/output/adae.csv.
R
Edit3 lineslibrary(yamaa)yamaa_project("project.yaml")$spec("ADAE")$run()$outputPython
Edit3 linesimport yamaayamaa.project("project.yaml").spec("ADAE").run().outputsolutions/adam-adae-analysis-time/result.R
Edit52 lines# Reference solution for the yamaa benchmark adam-adae-analysis-time (R track).## Written from the benchmark's full prompt and its inputs alone, as an agent# would write it. Harbor's oracle agent runs it to check that the prompt can# be solved and that the grader scores a correct answer 1.library(dplyr, warn.conflicts = FALSE)library(readr)ae <- read_csv( "/app/input/ae.csv", col_types = cols(AESEQ = col_integer(), .default = col_character()))# Complete a collected start by its length: the missing parts of the time# take their earliest values. A start without its day, or no start at all,# gives no analysis time.complete_start <- function(x) { n <- nchar(x) case_when( n == 19 ~ x, n == 16 ~ paste0(x, ":00"), n == 13 ~ paste0(x, ":00:00"), n == 10 ~ paste0(x, "T00:00:00"), TRUE ~ NA_character_ )}# The flag names the coarsest part of the time that was supplied.time_flag <- function(x) { n <- nchar(x) case_when( n == 16 ~ "S", n == 13 ~ "M", n == 10 ~ "H", TRUE ~ NA_character_ )}adae <- ae |> mutate( ASTDTM = complete_start(AESTDTC), ASTDT = substr(ASTDTM, 1, 10), ASTTM = as.integer(substr(ASTDTM, 12, 13)) * 3600L + as.integer(substr(ASTDTM, 15, 16)) * 60L + as.integer(substr(ASTDTM, 18, 19)), ASTTMF = time_flag(AESTDTC) ) |> select(STUDYID, USUBJID, AESEQ, AETERM, ASTDTM, ASTDT, ASTTM, ASTTMF)dir.create("/app/output", showWarnings = FALSE)write_csv(adae, "/app/output/adae.csv", na = "")solutions/adam-adae-analysis-time/result.py
Edit58 lines# Reference solution for the yamaa benchmark adam-adae-analysis-time (Python track).## Written from the benchmark's full prompt and its inputs alone, as an agent# would write it. Harbor's oracle agent runs it to check that the prompt can# be solved and that the grader scores a correct answer 1.from pathlib import Pathimport polars as plae = pl.read_csv("/app/input/ae.csv", infer_schema=False).with_columns( pl.col("AESEQ").cast(pl.Int64))# What a collected start is missing, by its length, with the flag that names# the coarsest part supplied. A time to the second needs nothing.FIRST = {19: ("", None), 16: (":00", "S"), 13: (":00:00", "M"), 10: ("T00:00:00", "H")}rows = []for record in ae.iter_rows(named=True): collected = record["AESTDTC"] astdtm = astdt = asttm = asttmf = None # A start without its day, or no start at all, gives no analysis time. if collected is not None and len(collected) in FIRST: suffix, asttmf = FIRST[len(collected)] astdtm = collected + suffix astdt = astdtm[:10] hours, minutes, seconds = (int(part) for part in astdtm[11:].split(":")) asttm = hours * 3600 + minutes * 60 + seconds rows.append( { "STUDYID": record["STUDYID"], "USUBJID": record["USUBJID"], "AESEQ": record["AESEQ"], "AETERM": record["AETERM"], "ASTDTM": astdtm, "ASTDT": astdt, "ASTTM": asttm, "ASTTMF": asttmf, } )adae = pl.DataFrame( rows, schema={ "STUDYID": pl.String, "USUBJID": pl.String, "AESEQ": pl.Int64, "AETERM": pl.String, "ASTDTM": pl.String, "ASTDT": pl.String, "ASTTM": pl.Int64, "ASTTMF": pl.String, },)Path("/app/output").mkdir(exist_ok=True)adae.write_csv("/app/output/adae.csv")solutions/adam-adae-analysis-time/result.sas
Edit35 lines/* opensas reference solution for the yamaa benchmark adam-adae-analysis-time. Reads the benchmark inputs and derives the requested output. Execute with the existing opensas runtime: opensas /app/output/result.sas. */data ae; length STUDYID USUBJID AETERM AESTDTC $1024; infile "/app/input/ae.csv" dsd dlm="," firstobs=2 truncover lrecl=32767; input STUDYID : $char1024. USUBJID : $char1024. AESEQ AETERM : $char1024. AESTDTC : $char1024.;run;/* Complete each collected start by its length: the missing parts of the time take their earliest values, and the flag names the coarsest part supplied. A start without its day, or no start, gives no analysis time. The time of day counts the seconds since midnight. */data result; length ASTDTM $19 ASTDT $10 ASTTMF $1; set ae; ASTDTM=''; ASTDT=''; ASTTMF=''; ASTTM=.; ls=lengthn(AESTDTC); if ls=19 then ASTDTM=AESTDTC; else if ls=16 then do; ASTDTM=cats(AESTDTC, ':00'); ASTTMF='S'; end; else if ls=13 then do; ASTDTM=cats(AESTDTC, ':00:00'); ASTTMF='M'; end; else if ls=10 then do; ASTDTM=cats(AESTDTC, 'T00:00:00'); ASTTMF='H'; end; if ASTDTM ne '' then do; ASTDT=substr(ASTDTM, 1, 10); ASTTM=input(substr(ASTDTM, 12, 2), 2.)*3600 + input(substr(ASTDTM, 15, 2), 2.)*60 + input(substr(ASTDTM, 18, 2), 2.); end;run;proc sql; create table final as select STUDYID, USUBJID, AESEQ, AETERM, ASTDTM, ASTDT, ASTTM, ASTTMF from result;quit;proc export data=final outfile="/app/output/adae.csv" dbms=csv replace; run;
yamaa