As a clinical trial statistician or programmer, challenge anything in this benchmark: describe a problem in Comments, or propose a fix with the Edit button on any source file.
- Task: Would a real study need this derivation, specified this way? Does it follow CDISC SDTM: variable names, controlled terms, record structure? Flag any rule that is ambiguous or that a sponsor would handle differently.
- Inputs: Do they look like data collected in a real trial, and do they include the situations you would expect to meet in one?
- Expected output: Would independent QC programming reproduce every value from these inputs and rules?
The other tabs beside Comments are background for assessment, not under review.
Summary
README.mdGoal: one row per adverse event (AE) with the collected start
and end kept at the precision they were collected (AESTDTC,
AEENDTC), and the study day (AESTDY, AEENDY) filled only when
the date is complete.
Input: long-form Operational Data Model (ODM) data
(input/odm.csv) with one row per collected item, carrying the
collection form (FormOID), the form repeat (FormRepeatKey, the AE
number within the subject), the item (ItemOID), and the stored value
(Value). Each adverse event is one FO.AE form instance holding the
reported term (IT.AE.AETERM) and the collected start and end as
separate year, month, and day items (IT.AE.AESTYR / IT.AE.AESTMO /
IT.AE.AESTDY, IT.AE.AEENYR / IT.AE.AEENMO / IT.AE.AEENDY); a
part that was not collected has no row. Demographics (input/dm.csv)
supplies the subject reference start date (RFSTDTC), empty when the
subject has no usable reference date.
Variables:
AESTDTC/AEENDTCare the collected dates written as ISO 8601 text at the precision collected: a full date (2026-03-15), a year and month (2026-03), or a year alone (2026). Nothing is imputed, and a date with no part collected stays empty. A day collected without its month, or a month without its year, stops the run.AESTDY/AEENDYare the study days counted fromRFSTDTC: day 1 is the reference start date, the day before it is -1, and there is no day zero. Only a complete date gets a study day: a partial date has none even when the reference date is known, and no date has one when the reference date is unknown.
Inputs
Under review2 source filesinput/dm.csv
Edit3 rows| STUDYID | USUBJID | RFSTDTC |
|---|---|---|
| YAMAA-01 | 2026-01-10 | |
| YAMAA-01 | 2026-02-01 | |
| YAMAA-01 | — |
input/odm.csv
Edit32 rows| StudyOID | MetaDataVersionOID | SubjectKey | StudyEventOID | StudyEventRepeatKey | FormOID | FormRepeatKey | ItemGroupOID | ItemGroupRepeatKey | ItemOID | Value |
|---|---|---|---|---|---|---|---|---|---|---|
| YAMAA-01 | MDV.1 | YAMAA-01-001 | TREATMENT | 1 | FO.AE | 1 | IG.AE | 1 | IT.AE.AETERM | Headache |
| YAMAA-01 | MDV.1 | YAMAA-01-001 | TREATMENT | 1 | FO.AE | 1 | IG.AE | 1 | IT.AE.AESTYR | 2026 |
| YAMAA-01 | MDV.1 | YAMAA-01-001 | TREATMENT | 1 | FO.AE | 1 | IG.AE | 1 | IT.AE.AESTMO | 03 |
| YAMAA-01 | MDV.1 | YAMAA-01-001 | TREATMENT | 1 | FO.AE | 1 | IG.AE | 1 | IT.AE.AESTDY | 15 |
| YAMAA-01 | MDV.1 | YAMAA-01-001 | TREATMENT | 1 | FO.AE | 1 | IG.AE | 1 | IT.AE.AEENYR | 2026 |
| YAMAA-01 | MDV.1 | YAMAA-01-001 | TREATMENT | 1 | FO.AE | 1 | IG.AE | 1 | IT.AE.AEENMO | 03 |
| YAMAA-01 | MDV.1 | YAMAA-01-001 | TREATMENT | 1 | FO.AE | 1 | IG.AE | 1 | IT.AE.AEENDY | 20 |
| YAMAA-01 | MDV.1 | YAMAA-01-001 | TREATMENT | 1 | FO.AE | 2 | IG.AE | 1 | IT.AE.AETERM | Nausea |
| YAMAA-01 | MDV.1 | YAMAA-01-001 | TREATMENT | 1 | FO.AE | 2 | IG.AE | 1 | IT.AE.AESTYR | 2026 |
| YAMAA-01 | MDV.1 | YAMAA-01-001 | TREATMENT | 1 | FO.AE | 2 | IG.AE | 1 | IT.AE.AESTMO | 03 |
| YAMAA-01 | MDV.1 | YAMAA-01-001 | TREATMENT | 1 | FO.AE | 2 | IG.AE | 1 | IT.AE.AEENYR | 2026 |
| YAMAA-01 | MDV.1 | YAMAA-01-001 | TREATMENT | 1 | FO.AE | 2 | IG.AE | 1 | IT.AE.AEENMO | 04 |
| YAMAA-01 | MDV.1 | YAMAA-01-001 | TREATMENT | 1 | FO.AE | 2 | IG.AE | 1 | IT.AE.AEENDY | 02 |
| YAMAA-01 | MDV.1 | YAMAA-01-001 | TREATMENT | 1 | FO.AE | 3 | IG.AE | 1 | IT.AE.AETERM | Fatigue |
| YAMAA-01 | MDV.1 | YAMAA-01-001 | TREATMENT | 1 | FO.AE | 3 | IG.AE | 1 | IT.AE.AESTYR | 2026 |
| YAMAA-01 | MDV.1 | YAMAA-01-002 | TREATMENT | 1 | FO.AE | 1 | IG.AE | 1 | IT.AE.AETERM | Dizziness |
| YAMAA-01 | MDV.1 | YAMAA-01-002 | TREATMENT | 1 | FO.AE | 1 | IG.AE | 1 | IT.AE.AESTYR | 2026 |
| YAMAA-01 | MDV.1 | YAMAA-01-002 | TREATMENT | 1 | FO.AE | 1 | IG.AE | 1 | IT.AE.AESTMO | 01 |
| YAMAA-01 | MDV.1 | YAMAA-01-002 | TREATMENT | 1 | FO.AE | 1 | IG.AE | 1 | IT.AE.AESTDY | 28 |
| YAMAA-01 | MDV.1 | YAMAA-01-002 | TREATMENT | 1 | FO.AE | 1 | IG.AE | 1 | IT.AE.AEENYR | 2026 |
| YAMAA-01 | MDV.1 | YAMAA-01-002 | TREATMENT | 1 | FO.AE | 1 | IG.AE | 1 | IT.AE.AEENMO | 02 |
| YAMAA-01 | MDV.1 | YAMAA-01-002 | TREATMENT | 1 | FO.AE | 2 | IG.AE | 1 | IT.AE.AETERM | Rash |
| YAMAA-01 | MDV.1 | YAMAA-01-002 | TREATMENT | 1 | FO.AE | 2 | IG.AE | 1 | IT.AE.AEENYR | 2026 |
| YAMAA-01 | MDV.1 | YAMAA-01-002 | TREATMENT | 1 | FO.AE | 2 | IG.AE | 1 | IT.AE.AEENMO | 02 |
| YAMAA-01 | MDV.1 | YAMAA-01-002 | TREATMENT | 1 | FO.AE | 2 | IG.AE | 1 | IT.AE.AEENDY | 10 |
| YAMAA-01 | MDV.1 | YAMAA-01-003 | TREATMENT | 1 | FO.AE | 1 | IG.AE | 1 | IT.AE.AETERM | Headache |
| YAMAA-01 | MDV.1 | YAMAA-01-003 | TREATMENT | 1 | FO.AE | 1 | IG.AE | 1 | IT.AE.AESTYR | 2026 |
| YAMAA-01 | MDV.1 | YAMAA-01-003 | TREATMENT | 1 | FO.AE | 1 | IG.AE | 1 | IT.AE.AESTMO | 05 |
| YAMAA-01 | MDV.1 | YAMAA-01-003 | TREATMENT | 1 | FO.AE | 1 | IG.AE | 1 | IT.AE.AESTDY | 01 |
| YAMAA-01 | MDV.1 | YAMAA-01-003 | TREATMENT | 1 | FO.AE | 1 | IG.AE | 1 | IT.AE.AEENYR | 2026 |
| YAMAA-01 | MDV.1 | YAMAA-01-003 | TREATMENT | 1 | FO.AE | 1 | IG.AE | 1 | IT.AE.AEENMO | 05 |
| YAMAA-01 | MDV.1 | YAMAA-01-003 | TREATMENT | 1 | FO.AE | 1 | IG.AE | 1 | IT.AE.AEENDY | 05 |
Expected output
Under review6 expected rowsexpected/ae.csv
Edit6 rows| DOMAIN | STUDYID | USUBJID | AESEQ | AETERM | AESTDTC | AEENDTC | AESTDY | AEENDY |
|---|---|---|---|---|---|---|---|---|
| AE | YAMAA-01 | 1 | Headache | 2026-03-15 | 2026-03-20 | 65 | 70 | |
| AE | YAMAA-01 | 2 | Nausea | 2026-03 | 2026-04-02 | — | 83 | |
| AE | YAMAA-01 | 3 | Fatigue | 2026 | — | — | — | |
| AE | YAMAA-01 | 1 | Dizziness | 2026-01-28 | 2026-02 | -4 | — | |
| AE | YAMAA-01 | 2 | Rash | — | 2026-02-10 | — | 10 | |
| AE | YAMAA-01 | 1 | Headache | 2026-05-01 | 2026-05-05 | — | — |
Comments and assessment materials
| Variable Name | Variable Label | Type | Length | Controlled Terms or Format | Origin | Core | Conversion Definition | Variable Type | Variable Order | Comments for Define |
|---|---|---|---|---|---|---|---|---|---|---|
| DOMAIN | Domain Abbreviation | Char | Assigned | Set constant value "AE". | SDTM | 1 | ||||
| STUDYID | Study Identifier | Char | Collected | Copy value from ODM.StudyOID. | SDTM | 2 | ||||
| USUBJID | Unique Subject Identifier | Char | Collected | Copy value from ODM.SubjectKey. | SDTM | 3 | ||||
| AESEQ | Sequence Number | Num | Collected | Copy value from ODM.FormRepeatKey. | SDTM | 4 | ||||
| AETERM | Reported Term for the Adverse Event | Char | Collected | Copy value from ODM.Value where ODM.ItemOID = 'IT.AE.AETERM'. | SDTM | 5 | ||||
| AESTDTC | Start Date/Time of Adverse Event | Char | Derived | If AEST_DY IS NOT NULL then fill the template "{AEST_YR}-{AEST_MO}-{AEST_DY}"; If AEST_MO IS NOT NULL then fill the template "{AEST_YR}-{AEST_MO}"; If AEST_YR IS NOT NULL then "AEST_YR"; otherwise blank. | SDTM | 6 | ||||
| AEENDTC | End Date/Time of Adverse Event | Char | Derived | If AEEN_DY IS NOT NULL then fill the template "{AEEN_YR}-{AEEN_MO}-{AEEN_DY}"; If AEEN_MO IS NOT NULL then fill the template "{AEEN_YR}-{AEEN_MO}"; If AEEN_YR IS NOT NULL then "AEEN_YR"; otherwise blank. | SDTM | 7 | ||||
| AESTDY | Study Day of Start of Adverse Event | Num | Derived | CDISC study day of AESTDT against RFSTDTC as day 1; there is no day zero. | SDTM | 8 | ||||
| AEENDY | Study Day of End of Adverse Event | Num | Derived | CDISC study day of AEENDT against RFSTDTC as day 1; there is no day zero. | SDTM | 9 |
| Version | Date | Author | Description | Reviewer | Sign-off |
|---|---|---|---|---|---|
| 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/sdtm-ae-partial-dates/full.md
Edit16 linesFollowing CDISC SDTM standards, use the provided ODM and DM datasets to create an AE dataset with one record per adverse event.
The output dataset should contain the following columns in this order: DOMAIN, STUDYID, USUBJID, AESEQ, AETERM, AESTDTC, AEENDTC, AESTDY, AEENDY
STUDYID is the ODM StudyOID and USUBJID is the SubjectKey, each as given.
AESEQ is the form repeat number within the subject. AESTDTC and AEENDTC keep the collected dates at the precision collected: a full date, a year and month, or a year alone. Nothing is imputed, and a date with no part collected has no value. AESTDY and AEENDY are the study days relative to the subject reference start date in DM.
Read the source datasets from /app/input and save the completed dataset as /app/output/ae.csv.
prompts/sdtm-ae-partial-dates/conventions.md
Edit8 linesFollowing CDISC SDTM standards, use the provided ODM and DM datasets to create an AE dataset with one record per adverse event.
The output dataset should contain the following columns in this order: DOMAIN, STUDYID, USUBJID, AESEQ, AETERM, AESTDTC, AEENDTC, AESTDY, AEENDY
Read the source datasets from /app/input and save the completed dataset as /app/output/ae.csv.
prompts/sdtm-ae-partial-dates/brief.md
Edit8 linesFollowing CDISC SDTM standards, use the provided ODM and DM datasets to create an AE dataset with one record per adverse event.
The output dataset should contain the following columns in this order: DOMAIN, STUDYID, USUBJID, AESEQ, AETERM, AESTDTC, AEENDTC, AESTDY, AEENDY
Read the source datasets from /app/input and save the completed dataset as /app/output/ae.csv.
run.R
Edit4 lineslibrary(yamaa)ae <- yamaa_domain("spec.yaml")$outputaerun.py
Edit4 linesimport yamaaae = yamaa.yamaa_domain("spec.yaml").outputaesolutions/sdtm-ae-partial-dates/result.R
Edit87 lines# Reference solution for the yamaa benchmark sdtm-ae-partial-dates (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)library(tidyr)library(stringr)odm <- read_csv( "/app/input/odm.csv", col_types = cols(.default = col_character()))dm <- read_csv( "/app/input/dm.csv", col_types = cols(.default = col_character()))compose_dtc <- function(yr, mo, dy) { ifelse( is.na(yr) | yr == "", NA_character_, ifelse( is.na(mo) | mo == "", yr, ifelse( is.na(dy) | dy == "", paste0(yr, "-", str_pad(mo, 2, pad = "0")), paste0(yr, "-", str_pad(mo, 2, pad = "0"), "-", str_pad(dy, 2, pad = "0")) ) ) )}study_day <- function(adt, ref) { diff <- as.integer(as.Date(adt) - as.Date(ref)) ifelse(is.na(diff), NA_integer_, ifelse(diff >= 0L, diff + 1L, diff))}# One record per form repeat; the repeat number is the sequence number.# Dates stay at the precision collected: nothing is imputed.ae <- odm |> filter(ItemGroupOID == "IG.AE") |> pivot_wider( id_cols = c(StudyOID, SubjectKey, FormRepeatKey), names_from = ItemOID, values_from = Value, values_fn = first ) |> mutate( AESEQ = as.integer(FormRepeatKey), AETERM = `IT.AE.AETERM`, AESTDTC = compose_dtc(`IT.AE.AESTYR`, `IT.AE.AESTMO`, `IT.AE.AESTDY`), AEENDTC = compose_dtc(`IT.AE.AEENYR`, `IT.AE.AEENMO`, `IT.AE.AEENDY`), START_FULL = !is.na(`IT.AE.AESTYR`) & `IT.AE.AESTYR` != "" & !is.na(`IT.AE.AESTMO`) & `IT.AE.AESTMO` != "" & !is.na(`IT.AE.AESTDY`) & `IT.AE.AESTDY` != "", END_FULL = !is.na(`IT.AE.AEENYR`) & `IT.AE.AEENYR` != "" & !is.na(`IT.AE.AEENMO`) & `IT.AE.AEENMO` != "" & !is.na(`IT.AE.AEENDY`) & `IT.AE.AEENDY` != "" ) |> left_join( dm |> select(USUBJID, RFSTDTC), by = c("SubjectKey" = "USUBJID") ) |> # Only a complete date gets a study day, and only when the reference # start date is known. Day 1 is the reference date; there is no day 0. mutate( AESTDY = if_else( START_FULL & !is.na(RFSTDTC) & RFSTDTC != "", study_day(AESTDTC, RFSTDTC), NA_integer_ ), AEENDY = if_else( END_FULL & !is.na(RFSTDTC) & RFSTDTC != "", study_day(AEENDTC, RFSTDTC), NA_integer_ ), DOMAIN = "AE", STUDYID = StudyOID, USUBJID = SubjectKey ) |> arrange(USUBJID, AESEQ) |> select( DOMAIN, STUDYID, USUBJID, AESEQ, AETERM, AESTDTC, AEENDTC, AESTDY, AEENDY )dir.create("/app/output", showWarnings = FALSE)write_csv(ae, "/app/output/ae.csv", na = "")solutions/sdtm-ae-partial-dates/result.py
Edit121 lines# Reference solution for the yamaa benchmark sdtm-ae-partial-dates (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 datetime import datefrom pathlib import Pathimport polars as pldef compose(yr: str | None, mo: str | None, dy: str | None) -> str | None: if yr is None or yr == "": return None if mo is None or mo == "": return yr mo = mo.zfill(2) if dy is None or dy == "": return f"{yr}-{mo}" return f"{yr}-{mo}-{dy.zfill(2)}"def complete(yr: str | None, mo: str | None, dy: str | None) -> bool: return bool(yr) and bool(mo) and bool(dy)def study_day(adt: date | None, ref: date | None) -> int | None: if adt is None or ref is None: return None delta = (adt - ref).days return delta + 1 if delta >= 0 else deltaodm = pl.read_csv("/app/input/odm.csv", infer_schema=False)dm = pl.read_csv("/app/input/dm.csv", infer_schema=False)# One record per form repeat; the repeat number is the sequence number.# Dates stay at the precision collected: nothing is imputed.wide = ( odm.filter(pl.col("ItemGroupOID") == "IG.AE") .pivot( index=["StudyOID", "SubjectKey", "FormRepeatKey"], on="ItemOID", values="Value", aggregate_function="first", ) .with_columns(AESEQ=pl.col("FormRepeatKey").cast(pl.Int64)))ref = { row["USUBJID"]: (row["RFSTDTC"] or None) for row in dm.to_dicts()}rows = []for record in wide.to_dicts(): usubjid = record["SubjectKey"] stdtc = compose( record.get("IT.AE.AESTYR"), record.get("IT.AE.AESTMO"), record.get("IT.AE.AESTDY") ) endtc = compose( record.get("IT.AE.AEENYR"), record.get("IT.AE.AEENMO"), record.get("IT.AE.AEENDY") ) # Only a complete date gets a study day, and only when the reference # start date is known. Day 1 is the reference date; there is no day 0. rf_raw = ref.get(usubjid) try: rf = date.fromisoformat(rf_raw) if rf_raw else None except ValueError: rf = None if complete( record.get("IT.AE.AESTYR"), record.get("IT.AE.AESTMO"), record.get("IT.AE.AESTDY") ): try: adt = date.fromisoformat(stdtc) if stdtc else None except ValueError: adt = None stdy = study_day(adt, rf) else: stdy = None if complete( record.get("IT.AE.AEENYR"), record.get("IT.AE.AEENMO"), record.get("IT.AE.AEENDY") ): try: adt = date.fromisoformat(endtc) if endtc else None except ValueError: adt = None endy = study_day(adt, rf) else: endy = None rows.append( { "DOMAIN": "AE", "STUDYID": record["StudyOID"], "USUBJID": usubjid, "AESEQ": record["AESEQ"], "AETERM": record.get("IT.AE.AETERM"), "AESTDTC": stdtc, "AEENDTC": endtc, "AESTDY": stdy, "AEENDY": endy, } )ae = pl.DataFrame( rows, schema={ "DOMAIN": pl.String, "STUDYID": pl.String, "USUBJID": pl.String, "AESEQ": pl.Int64, "AETERM": pl.String, "AESTDTC": pl.String, "AEENDTC": pl.String, "AESTDY": pl.Int64, "AEENDY": pl.Int64, },).sort(["USUBJID", "AESEQ"])Path("/app/output").mkdir(exist_ok=True)ae.write_csv("/app/output/ae.csv")solutions/sdtm-ae-partial-dates/result.sas
Edit48 lines/* opensas reference solution for the yamaa benchmark sdtm-ae-partial-dates. Reads the benchmark inputs and derives the requested output. Execute with the existing opensas runtime: opensas /app/output/result.sas. */data dm; length STUDYID USUBJID RFSTDTC $1024; infile "/app/input/dm.csv" dsd dlm="," firstobs=2 truncover lrecl=32767; input STUDYID : $char1024. USUBJID : $char1024. RFSTDTC : $char1024.;run;data odm; length StudyOID MetaDataVersionOID SubjectKey StudyEventOID StudyEventRepeatKey FormOID FormRepeatKey ItemGroupOID ItemGroupRepeatKey ItemOID Value $1024; infile "/app/input/odm.csv" dsd dlm="," firstobs=2 truncover lrecl=32767; input StudyOID : $char1024. MetaDataVersionOID : $char1024. SubjectKey : $char1024. StudyEventOID : $char1024. StudyEventRepeatKey : $char1024. FormOID : $char1024. FormRepeatKey : $char1024. ItemGroupOID : $char1024. ItemGroupRepeatKey : $char1024. ItemOID : $char1024. Value : $char1024.;run;proc sort data=odm out=ordered; by StudyOID SubjectKey FormRepeatKey; run;data wide; length AETERM AESTYR AESTMO AEENYR AEENMO STARTDAY ENDDAY $1024; retain AETERM AESTYR AESTMO AEENYR AEENMO STARTDAY ENDDAY; set ordered; where ItemGroupOID='IG.AE'; by StudyOID SubjectKey FormRepeatKey; if first.FormRepeatKey then do; AETERM=''; AESTYR=''; AESTMO=''; AEENYR=''; AEENMO=''; STARTDAY=''; ENDDAY=''; end; if ItemOID='IT.AE.AETERM' then AETERM=Value; if ItemOID='IT.AE.AESTYR' then AESTYR=Value; if ItemOID='IT.AE.AESTMO' then AESTMO=Value; if ItemOID='IT.AE.AEENYR' then AEENYR=Value; if ItemOID='IT.AE.AEENMO' then AEENMO=Value; if ItemOID='IT.AE.AESTDY' then STARTDAY=Value; if ItemOID='IT.AE.AEENDY' then ENDDAY=Value; if last.FormRepeatKey then output;run;data dates; set wide; length DOMAIN $2 STUDYID USUBJID AESTDTC AEENDTC $1024;DOMAIN='AE'; STUDYID=StudyOID; USUBJID=SubjectKey; AESEQ=input(FormRepeatKey,best32.);AESTDTC=''; AEENDTC='';if not missing(AESTYR) then do; AESTDTC=AESTYR; if not missing(AESTMO) then do; AESTDTC=catx('-',AESTDTC,AESTMO); if not missing(STARTDAY) then AESTDTC=catx('-',AESTDTC,STARTDAY); end; end;if not missing(AEENYR) then do; AEENDTC=AEENYR; if not missing(AEENMO) then do; AEENDTC=catx('-',AEENDTC,AEENMO); if not missing(ENDDAY) then AEENDTC=catx('-',AEENDTC,ENDDAY); end; end; run;proc sql; create table joined as select a.*,b.RFSTDTC from dates a left join dm b on a.STUDYID=b.STUDYID and a.USUBJID=b.USUBJID; quit;data result; set joined; AESTDY=.; AEENDY=.; if lengthn(RFSTDTC)=10 then do;if lengthn(AESTDTC)=10 then do; AESTDY=input(AESTDTC,yymmdd10.)-input(RFSTDTC,yymmdd10.); if AESTDY>=0 then AESTDY+1; end;if lengthn(AEENDTC)=10 then do; AEENDY=input(AEENDTC,yymmdd10.)-input(RFSTDTC,yymmdd10.); if AEENDY>=0 then AEENDY+1; end; end; run;proc sql; create table final as select DOMAIN, STUDYID, USUBJID, AESEQ, AETERM, AESTDTC, AEENDTC, AESTDY, AEENDY from result;quit;proc export data=final outfile="/app/output/ae.csv" dbms=csv replace; run;
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