Data input for teal app
cdisc_data.Rd![[Stable]](figures/lifecycle-stable.svg)
Function takes datasets and creates TealData object which can be used in teal applications.
Usage
cdisc_data(..., join_keys = teal.data::join_keys(), code = "", check = FALSE)Arguments
- ...
(
TealDataConnector,TealDatasetorTealDatasetConnector) elements to include.- join_keys
(
JoinKeys) or a single (JoinKeySet)
(optional) object with datasets column names used for joining. If empty then it would be automatically derived basing on intersection of datasets primary keys- code
(
character) code to reproduce the datasets.- check
(
logical) reproducibility check - whether to perform a check that the pre-processing code included in the object definitions actually produces those objects. Ifcheckis true and preprocessing code is empty an error will be thrown.
Note
This function does not automatically assign keys to TealDataset
and TealDatasetConnector objects passed to it. If the keys are needed
they should be assigned before calling cdisc_data. See example:
library(scda)
test_dataset <- dataset("ADAE", synthetic_cdisc_data("latest")$adae) # does not have keys
test_adsl <- cdisc_dataset("ADSL", synthetic_cdisc_data("latest")$adsl)
test_data <- cdisc_data(test_dataset, test_adsl)
get_keys(test_data, "ADAE") # returns character(0)
test_dataset <- cdisc_dataset("ADAE", synthetic_cdisc_data("latest")$adae)
test_data <- cdisc_data(test_dataset, test_adsl)
get_keys(test_data, "ADAE") # returns [1] "STUDYID" "USUBJID" "ASTDTM" "AETERM" "AESEQ"Examples
library(scda)
latest_data <- synthetic_cdisc_data("latest")
ADSL <- latest_data$adsl
ADTTE <- latest_data$adtte
# basic example
cdisc_data(
cdisc_dataset("ADSL", ADSL),
cdisc_dataset("ADTTE", ADTTE),
code = "ADSL <- synthetic_cdisc_data('latest')$adsl
ADTTE <- synthetic_cdisc_data('latest')$adtte",
check = TRUE
)
#> A TealData object containing 2 TealDataset/TealDatasetConnector object(s) as element(s):
#> --> Element 1:
#> A CDISCTealDataset object containing the following data.frame (400 rows and 55 columns):
#> STUDYID USUBJID SUBJID SITEID AGE AGEU SEX
#> 1 AB12345 AB12345-CHN-3-id-128 id-128 CHN-3 32 YEARS M
#> 2 AB12345 AB12345-CHN-15-id-262 id-262 CHN-15 35 YEARS M
#> 3 AB12345 AB12345-RUS-3-id-378 id-378 RUS-3 30 YEARS F
#> 4 AB12345 AB12345-CHN-11-id-220 id-220 CHN-11 26 YEARS F
#> 5 AB12345 AB12345-CHN-7-id-267 id-267 CHN-7 40 YEARS M
#> 6 AB12345 AB12345-CHN-15-id-201 id-201 CHN-15 49 YEARS M
#> RACE ETHNIC COUNTRY DTHFL INVID
#> 1 ASIAN HISPANIC OR LATINO CHN Y INV ID CHN-3
#> 2 BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO CHN N INV ID CHN-15
#> 3 ASIAN NOT HISPANIC OR LATINO RUS N INV ID RUS-3
#> 4 ASIAN NOT HISPANIC OR LATINO CHN N INV ID CHN-11
#> 5 ASIAN NOT HISPANIC OR LATINO CHN N INV ID CHN-7
#> 6 ASIAN NOT HISPANIC OR LATINO CHN Y INV ID CHN-15
#> INVNAM ARM ARMCD ACTARM ACTARMCD TRT01P
#> 1 Dr. CHN-3 Doe A: Drug X ARM A A: Drug X ARM A A: Drug X
#> 2 Dr. CHN-15 Doe C: Combination ARM C C: Combination ARM C C: Combination
#> 3 Dr. RUS-3 Doe C: Combination ARM C C: Combination ARM C C: Combination
#> 4 Dr. CHN-11 Doe B: Placebo ARM B B: Placebo ARM B B: Placebo
#> 5 Dr. CHN-7 Doe B: Placebo ARM B B: Placebo ARM B B: Placebo
#> 6 Dr. CHN-15 Doe C: Combination ARM C C: Combination ARM C C: Combination
#> TRT01A TRT02P TRT02A REGION1 STRATA1 STRATA2
#> 1 A: Drug X B: Placebo A: Drug X Asia C S2
#> 2 C: Combination B: Placebo C: Combination Asia C S1
#> 3 C: Combination A: Drug X B: Placebo Eurasia A S1
#> 4 B: Placebo B: Placebo B: Placebo Asia B S2
#> 5 B: Placebo C: Combination A: Drug X Asia C S1
#> 6 C: Combination B: Placebo C: Combination Asia C S2
#> BMRKR1 BMRKR2 ITTFL SAFFL BMEASIFL BEP01FL AEWITHFL RANDDT
#> 1 14.424934 MEDIUM Y Y Y Y N 2019-02-22
#> 2 4.055463 LOW Y Y N N Y 2019-02-26
#> 3 2.803240 HIGH Y Y Y N N 2019-02-24
#> 4 10.262734 MEDIUM Y Y Y Y N 2019-02-27
#> 5 6.206763 LOW Y Y N N N 2019-03-01
#> 6 6.906799 MEDIUM Y Y Y N N 2019-03-05
#> TRTSDTM TRTEDTM TRT01SDTM
#> 1 2019-02-24 11:09:25 2022-02-12 04:28:08 2019-02-24 11:09:25
#> 2 2019-02-26 09:05:10 2022-02-26 03:05:10 2019-02-26 09:05:10
#> 3 2019-02-28 03:19:22 2022-02-27 21:19:22 2019-02-28 03:19:22
#> 4 2019-03-01 13:33:19 2022-03-01 07:33:19 2019-03-01 13:33:19
#> 5 2019-03-02 00:09:33 2022-03-01 18:09:33 2019-03-02 00:09:33
#> 6 2019-03-05 15:24:07 2022-02-19 04:06:48 2019-03-05 15:24:07
#> TRT01EDTM TRT02SDTM TRT02EDTM
#> 1 2021-02-11 22:28:08 2021-02-11 22:28:08 2022-02-12 04:28:08
#> 2 2021-02-25 21:05:10 2021-02-25 21:05:10 2022-02-26 03:05:10
#> 3 2021-02-27 15:19:22 2021-02-27 15:19:22 2022-02-27 21:19:22
#> 4 2021-03-01 01:33:19 2021-03-01 01:33:19 2022-03-01 07:33:19
#> 5 2021-03-01 12:09:33 2021-03-01 12:09:33 2022-03-01 18:09:33
#> 6 2021-02-18 22:06:48 2021-02-18 22:06:48 2022-02-19 04:06:48
#> AP01SDTM AP01EDTM AP02SDTM
#> 1 2019-02-24 11:09:25 2021-02-11 22:28:08 2021-02-11 22:28:08
#> 2 2019-02-26 09:05:10 2021-02-25 21:05:10 2021-02-25 21:05:10
#> 3 2019-02-28 03:19:22 2021-02-27 15:19:22 2021-02-27 15:19:22
#> 4 2019-03-01 13:33:19 2021-03-01 01:33:19 2021-03-01 01:33:19
#> 5 2019-03-02 00:09:33 2021-03-01 12:09:33 2021-03-01 12:09:33
#> 6 2019-03-05 15:24:07 2021-02-18 22:06:48 2021-02-18 22:06:48
#> AP02EDTM EOSSTT EOTSTT EOSDT EOSDY DCSREAS
#> 1 2022-02-12 04:28:08 DISCONTINUED DISCONTINUED 2022-02-12 1084 DEATH
#> 2 2022-02-26 03:05:10 COMPLETED COMPLETED 2022-02-26 1096 <NA>
#> 3 2022-02-27 21:19:22 COMPLETED COMPLETED 2022-02-27 1096 <NA>
#> 4 2022-03-01 07:33:19 COMPLETED COMPLETED 2022-03-01 1096 <NA>
#> 5 2022-03-01 18:09:33 COMPLETED COMPLETED 2022-03-01 1096 <NA>
#> 6 2022-02-19 04:06:48 DISCONTINUED DISCONTINUED 2022-02-19 1082 DEATH
#> DTHDT DTHCAUS DTHCAT LDDTHELD LDDTHGR1 LSTALVDT DTHADY
#> 1 2022-03-06 ADVERSE EVENT ADVERSE EVENT 22 <=30 2022-03-06 1105
#> 2 <NA> <NA> <NA> NA <NA> 2022-03-17 NA
#> 3 <NA> <NA> <NA> NA <NA> 2022-03-11 NA
#> 4 <NA> <NA> <NA> NA <NA> 2022-03-26 NA
#> 5 <NA> <NA> <NA> NA <NA> 2022-03-15 NA
#> 6 2022-02-22 ADVERSE EVENT ADVERSE EVENT 3 <=30 2022-02-22 1084
#> ADTHAUT
#> 1 Yes
#> 2 <NA>
#> 3 <NA>
#> 4 <NA>
#> 5 <NA>
#> 6 Yes
#> ...
#> --> Element 2:
#> A CDISCTealDataset object containing the following data.frame (2000 rows and 67 columns):
#> STUDYID USUBJID SUBJID SITEID AGE AGEU SEX
#> 1 AB12345 AB12345-BRA-1-id-105 id-105 BRA-1 38 YEARS M
#> 2 AB12345 AB12345-BRA-1-id-105 id-105 BRA-1 38 YEARS M
#> 3 AB12345 AB12345-BRA-1-id-105 id-105 BRA-1 38 YEARS M
#> 4 AB12345 AB12345-BRA-1-id-105 id-105 BRA-1 38 YEARS M
#> 5 AB12345 AB12345-BRA-1-id-105 id-105 BRA-1 38 YEARS M
#> 6 AB12345 AB12345-BRA-1-id-134 id-134 BRA-1 47 YEARS M
#> RACE ETHNIC COUNTRY DTHFL INVID
#> 1 BLACK OR AFRICAN AMERICAN HISPANIC OR LATINO BRA N INV ID BRA-1
#> 2 BLACK OR AFRICAN AMERICAN HISPANIC OR LATINO BRA N INV ID BRA-1
#> 3 BLACK OR AFRICAN AMERICAN HISPANIC OR LATINO BRA N INV ID BRA-1
#> 4 BLACK OR AFRICAN AMERICAN HISPANIC OR LATINO BRA N INV ID BRA-1
#> 5 BLACK OR AFRICAN AMERICAN HISPANIC OR LATINO BRA N INV ID BRA-1
#> 6 WHITE NOT HISPANIC OR LATINO BRA Y INV ID BRA-1
#> INVNAM ARM ARMCD ACTARM ACTARMCD TRT01P TRT01A
#> 1 Dr. BRA-1 Doe A: Drug X ARM A A: Drug X ARM A A: Drug X A: Drug X
#> 2 Dr. BRA-1 Doe A: Drug X ARM A A: Drug X ARM A A: Drug X A: Drug X
#> 3 Dr. BRA-1 Doe A: Drug X ARM A A: Drug X ARM A A: Drug X A: Drug X
#> 4 Dr. BRA-1 Doe A: Drug X ARM A A: Drug X ARM A A: Drug X A: Drug X
#> 5 Dr. BRA-1 Doe A: Drug X ARM A A: Drug X ARM A A: Drug X A: Drug X
#> 6 Dr. BRA-1 Doe A: Drug X ARM A A: Drug X ARM A A: Drug X A: Drug X
#> TRT02P TRT02A REGION1 STRATA1 STRATA2 BMRKR1 BMRKR2 ITTFL
#> 1 C: Combination A: Drug X South America B S1 4.156914 MEDIUM Y
#> 2 C: Combination A: Drug X South America B S1 4.156914 MEDIUM Y
#> 3 C: Combination A: Drug X South America B S1 4.156914 MEDIUM Y
#> 4 C: Combination A: Drug X South America B S1 4.156914 MEDIUM Y
#> 5 C: Combination A: Drug X South America B S1 4.156914 MEDIUM Y
#> 6 B: Placebo A: Drug X South America B S2 6.462991 LOW Y
#> SAFFL BMEASIFL BEP01FL AEWITHFL RANDDT TRTSDTM
#> 1 Y Y Y N 2020-03-08 2020-03-08 05:39:28
#> 2 Y Y Y N 2020-03-08 2020-03-08 05:39:28
#> 3 Y Y Y N 2020-03-08 2020-03-08 05:39:28
#> 4 Y Y Y N 2020-03-08 2020-03-08 05:39:28
#> 5 Y Y Y N 2020-03-08 2020-03-08 05:39:28
#> 6 Y Y N N 2020-11-03 2020-11-04 04:08:58
#> TRTEDTM TRT01SDTM TRT01EDTM
#> 1 2022-02-14 20:58:26 2020-03-08 05:39:28 2021-02-14 14:58:26
#> 2 2022-02-14 20:58:26 2020-03-08 05:39:28 2021-02-14 14:58:26
#> 3 2022-02-14 20:58:26 2020-03-08 05:39:28 2021-02-14 14:58:26
#> 4 2022-02-14 20:58:26 2020-03-08 05:39:28 2021-02-14 14:58:26
#> 5 2022-02-14 20:58:26 2020-03-08 05:39:28 2021-02-14 14:58:26
#> 6 2022-02-20 03:33:55 2020-11-04 04:08:58 2021-02-19 21:33:55
#> TRT02SDTM TRT02EDTM AP01SDTM
#> 1 2021-02-14 14:58:26 2022-02-14 20:58:26 2020-03-08 05:39:28
#> 2 2021-02-14 14:58:26 2022-02-14 20:58:26 2020-03-08 05:39:28
#> 3 2021-02-14 14:58:26 2022-02-14 20:58:26 2020-03-08 05:39:28
#> 4 2021-02-14 14:58:26 2022-02-14 20:58:26 2020-03-08 05:39:28
#> 5 2021-02-14 14:58:26 2022-02-14 20:58:26 2020-03-08 05:39:28
#> 6 2021-02-19 21:33:55 2022-02-20 03:33:55 2020-11-04 04:08:58
#> AP01EDTM AP02SDTM AP02EDTM EOSSTT
#> 1 2021-02-14 14:58:26 2021-02-14 14:58:26 2022-02-14 20:58:26 DISCONTINUED
#> 2 2021-02-14 14:58:26 2021-02-14 14:58:26 2022-02-14 20:58:26 DISCONTINUED
#> 3 2021-02-14 14:58:26 2021-02-14 14:58:26 2022-02-14 20:58:26 DISCONTINUED
#> 4 2021-02-14 14:58:26 2021-02-14 14:58:26 2022-02-14 20:58:26 DISCONTINUED
#> 5 2021-02-14 14:58:26 2021-02-14 14:58:26 2022-02-14 20:58:26 DISCONTINUED
#> 6 2021-02-19 21:33:55 2021-02-19 21:33:55 2022-02-20 03:33:55 DISCONTINUED
#> EOTSTT EOSDT EOSDY DCSREAS DTHDT DTHCAUS
#> 1 DISCONTINUED 2022-02-14 709 PROTOCOL VIOLATION <NA> <NA>
#> 2 DISCONTINUED 2022-02-14 709 PROTOCOL VIOLATION <NA> <NA>
#> 3 DISCONTINUED 2022-02-14 709 PROTOCOL VIOLATION <NA> <NA>
#> 4 DISCONTINUED 2022-02-14 709 PROTOCOL VIOLATION <NA> <NA>
#> 5 DISCONTINUED 2022-02-14 709 PROTOCOL VIOLATION <NA> <NA>
#> 6 DISCONTINUED 2022-02-20 473 DEATH 2022-03-16 ADVERSE EVENT
#> DTHCAT LDDTHELD LDDTHGR1 LSTALVDT DTHADY ADTHAUT ASEQ TTESEQ
#> 1 <NA> NA <NA> 2022-03-09 NA <NA> 4 4
#> 2 <NA> NA <NA> 2022-03-09 NA <NA> 2 2
#> 3 <NA> NA <NA> 2022-03-09 NA <NA> 3 3
#> 4 <NA> NA <NA> 2022-03-09 NA <NA> 1 1
#> 5 <NA> NA <NA> 2022-03-09 NA <NA> NA NA
#> 6 ADVERSE EVENT 24 <=30 2022-03-16 496 Yes 2 2
#> PARAM PARAMCD AVAL AVALU ADTM
#> 1 Duration of Confirmed Response CRSD 1273.8498 DAYS 2021-05-27 05:39:28
#> 2 Event Free Survival EFS 135.9787 DAYS 2020-09-25 05:39:28
#> 3 Overall Survival OS 1759.8678 DAYS 2020-11-25 05:39:28
#> 4 Progression Free Survival PFS 241.1912 DAYS 2020-03-30 05:39:28
#> 5 Total Number of Exacerbations TNE 1.0000 COUNT <NA>
#> 6 Duration of Confirmed Response CRSD 544.5728 DAYS 2021-10-05 04:08:58
#> ADY CNSR EVNTDESC CNSDTDSC lgTMATRSK
#> 1 445 1 Last Date Known To Be Alive End of AE Reporting Period NA
#> 2 201 0 Death NA
#> 3 262 0 Death NA
#> 4 22 0 Disease Progression NA
#> 5 NA 1 <NA> End of AE Reporting Period -2.802988
#> 6 335 0 Death NA
#> ...
# Example with keys
cdisc_data(
cdisc_dataset("ADSL", ADSL,
keys = c("STUDYID", "USUBJID")
),
cdisc_dataset("ADTTE", ADTTE,
keys = c("STUDYID", "USUBJID", "PARAMCD"),
parent = "ADSL"
),
join_keys = join_keys(
join_key(
"ADSL",
"ADTTE",
c("STUDYID" = "STUDYID", "USUBJID" = "USUBJID")
)
),
code = "ADSL <- synthetic_cdisc_data('latest')$adsl
ADTTE <- synthetic_cdisc_data('latest')$adtte",
check = TRUE
)
#> A TealData object containing 2 TealDataset/TealDatasetConnector object(s) as element(s):
#> --> Element 1:
#> A CDISCTealDataset object containing the following data.frame (400 rows and 55 columns):
#> STUDYID USUBJID SUBJID SITEID AGE AGEU SEX
#> 1 AB12345 AB12345-CHN-3-id-128 id-128 CHN-3 32 YEARS M
#> 2 AB12345 AB12345-CHN-15-id-262 id-262 CHN-15 35 YEARS M
#> 3 AB12345 AB12345-RUS-3-id-378 id-378 RUS-3 30 YEARS F
#> 4 AB12345 AB12345-CHN-11-id-220 id-220 CHN-11 26 YEARS F
#> 5 AB12345 AB12345-CHN-7-id-267 id-267 CHN-7 40 YEARS M
#> 6 AB12345 AB12345-CHN-15-id-201 id-201 CHN-15 49 YEARS M
#> RACE ETHNIC COUNTRY DTHFL INVID
#> 1 ASIAN HISPANIC OR LATINO CHN Y INV ID CHN-3
#> 2 BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO CHN N INV ID CHN-15
#> 3 ASIAN NOT HISPANIC OR LATINO RUS N INV ID RUS-3
#> 4 ASIAN NOT HISPANIC OR LATINO CHN N INV ID CHN-11
#> 5 ASIAN NOT HISPANIC OR LATINO CHN N INV ID CHN-7
#> 6 ASIAN NOT HISPANIC OR LATINO CHN Y INV ID CHN-15
#> INVNAM ARM ARMCD ACTARM ACTARMCD TRT01P
#> 1 Dr. CHN-3 Doe A: Drug X ARM A A: Drug X ARM A A: Drug X
#> 2 Dr. CHN-15 Doe C: Combination ARM C C: Combination ARM C C: Combination
#> 3 Dr. RUS-3 Doe C: Combination ARM C C: Combination ARM C C: Combination
#> 4 Dr. CHN-11 Doe B: Placebo ARM B B: Placebo ARM B B: Placebo
#> 5 Dr. CHN-7 Doe B: Placebo ARM B B: Placebo ARM B B: Placebo
#> 6 Dr. CHN-15 Doe C: Combination ARM C C: Combination ARM C C: Combination
#> TRT01A TRT02P TRT02A REGION1 STRATA1 STRATA2
#> 1 A: Drug X B: Placebo A: Drug X Asia C S2
#> 2 C: Combination B: Placebo C: Combination Asia C S1
#> 3 C: Combination A: Drug X B: Placebo Eurasia A S1
#> 4 B: Placebo B: Placebo B: Placebo Asia B S2
#> 5 B: Placebo C: Combination A: Drug X Asia C S1
#> 6 C: Combination B: Placebo C: Combination Asia C S2
#> BMRKR1 BMRKR2 ITTFL SAFFL BMEASIFL BEP01FL AEWITHFL RANDDT
#> 1 14.424934 MEDIUM Y Y Y Y N 2019-02-22
#> 2 4.055463 LOW Y Y N N Y 2019-02-26
#> 3 2.803240 HIGH Y Y Y N N 2019-02-24
#> 4 10.262734 MEDIUM Y Y Y Y N 2019-02-27
#> 5 6.206763 LOW Y Y N N N 2019-03-01
#> 6 6.906799 MEDIUM Y Y Y N N 2019-03-05
#> TRTSDTM TRTEDTM TRT01SDTM
#> 1 2019-02-24 11:09:25 2022-02-12 04:28:08 2019-02-24 11:09:25
#> 2 2019-02-26 09:05:10 2022-02-26 03:05:10 2019-02-26 09:05:10
#> 3 2019-02-28 03:19:22 2022-02-27 21:19:22 2019-02-28 03:19:22
#> 4 2019-03-01 13:33:19 2022-03-01 07:33:19 2019-03-01 13:33:19
#> 5 2019-03-02 00:09:33 2022-03-01 18:09:33 2019-03-02 00:09:33
#> 6 2019-03-05 15:24:07 2022-02-19 04:06:48 2019-03-05 15:24:07
#> TRT01EDTM TRT02SDTM TRT02EDTM
#> 1 2021-02-11 22:28:08 2021-02-11 22:28:08 2022-02-12 04:28:08
#> 2 2021-02-25 21:05:10 2021-02-25 21:05:10 2022-02-26 03:05:10
#> 3 2021-02-27 15:19:22 2021-02-27 15:19:22 2022-02-27 21:19:22
#> 4 2021-03-01 01:33:19 2021-03-01 01:33:19 2022-03-01 07:33:19
#> 5 2021-03-01 12:09:33 2021-03-01 12:09:33 2022-03-01 18:09:33
#> 6 2021-02-18 22:06:48 2021-02-18 22:06:48 2022-02-19 04:06:48
#> AP01SDTM AP01EDTM AP02SDTM
#> 1 2019-02-24 11:09:25 2021-02-11 22:28:08 2021-02-11 22:28:08
#> 2 2019-02-26 09:05:10 2021-02-25 21:05:10 2021-02-25 21:05:10
#> 3 2019-02-28 03:19:22 2021-02-27 15:19:22 2021-02-27 15:19:22
#> 4 2019-03-01 13:33:19 2021-03-01 01:33:19 2021-03-01 01:33:19
#> 5 2019-03-02 00:09:33 2021-03-01 12:09:33 2021-03-01 12:09:33
#> 6 2019-03-05 15:24:07 2021-02-18 22:06:48 2021-02-18 22:06:48
#> AP02EDTM EOSSTT EOTSTT EOSDT EOSDY DCSREAS
#> 1 2022-02-12 04:28:08 DISCONTINUED DISCONTINUED 2022-02-12 1084 DEATH
#> 2 2022-02-26 03:05:10 COMPLETED COMPLETED 2022-02-26 1096 <NA>
#> 3 2022-02-27 21:19:22 COMPLETED COMPLETED 2022-02-27 1096 <NA>
#> 4 2022-03-01 07:33:19 COMPLETED COMPLETED 2022-03-01 1096 <NA>
#> 5 2022-03-01 18:09:33 COMPLETED COMPLETED 2022-03-01 1096 <NA>
#> 6 2022-02-19 04:06:48 DISCONTINUED DISCONTINUED 2022-02-19 1082 DEATH
#> DTHDT DTHCAUS DTHCAT LDDTHELD LDDTHGR1 LSTALVDT DTHADY
#> 1 2022-03-06 ADVERSE EVENT ADVERSE EVENT 22 <=30 2022-03-06 1105
#> 2 <NA> <NA> <NA> NA <NA> 2022-03-17 NA
#> 3 <NA> <NA> <NA> NA <NA> 2022-03-11 NA
#> 4 <NA> <NA> <NA> NA <NA> 2022-03-26 NA
#> 5 <NA> <NA> <NA> NA <NA> 2022-03-15 NA
#> 6 2022-02-22 ADVERSE EVENT ADVERSE EVENT 3 <=30 2022-02-22 1084
#> ADTHAUT
#> 1 Yes
#> 2 <NA>
#> 3 <NA>
#> 4 <NA>
#> 5 <NA>
#> 6 Yes
#> ...
#> --> Element 2:
#> A CDISCTealDataset object containing the following data.frame (2000 rows and 67 columns):
#> STUDYID USUBJID SUBJID SITEID AGE AGEU SEX
#> 1 AB12345 AB12345-BRA-1-id-105 id-105 BRA-1 38 YEARS M
#> 2 AB12345 AB12345-BRA-1-id-105 id-105 BRA-1 38 YEARS M
#> 3 AB12345 AB12345-BRA-1-id-105 id-105 BRA-1 38 YEARS M
#> 4 AB12345 AB12345-BRA-1-id-105 id-105 BRA-1 38 YEARS M
#> 5 AB12345 AB12345-BRA-1-id-105 id-105 BRA-1 38 YEARS M
#> 6 AB12345 AB12345-BRA-1-id-134 id-134 BRA-1 47 YEARS M
#> RACE ETHNIC COUNTRY DTHFL INVID
#> 1 BLACK OR AFRICAN AMERICAN HISPANIC OR LATINO BRA N INV ID BRA-1
#> 2 BLACK OR AFRICAN AMERICAN HISPANIC OR LATINO BRA N INV ID BRA-1
#> 3 BLACK OR AFRICAN AMERICAN HISPANIC OR LATINO BRA N INV ID BRA-1
#> 4 BLACK OR AFRICAN AMERICAN HISPANIC OR LATINO BRA N INV ID BRA-1
#> 5 BLACK OR AFRICAN AMERICAN HISPANIC OR LATINO BRA N INV ID BRA-1
#> 6 WHITE NOT HISPANIC OR LATINO BRA Y INV ID BRA-1
#> INVNAM ARM ARMCD ACTARM ACTARMCD TRT01P TRT01A
#> 1 Dr. BRA-1 Doe A: Drug X ARM A A: Drug X ARM A A: Drug X A: Drug X
#> 2 Dr. BRA-1 Doe A: Drug X ARM A A: Drug X ARM A A: Drug X A: Drug X
#> 3 Dr. BRA-1 Doe A: Drug X ARM A A: Drug X ARM A A: Drug X A: Drug X
#> 4 Dr. BRA-1 Doe A: Drug X ARM A A: Drug X ARM A A: Drug X A: Drug X
#> 5 Dr. BRA-1 Doe A: Drug X ARM A A: Drug X ARM A A: Drug X A: Drug X
#> 6 Dr. BRA-1 Doe A: Drug X ARM A A: Drug X ARM A A: Drug X A: Drug X
#> TRT02P TRT02A REGION1 STRATA1 STRATA2 BMRKR1 BMRKR2 ITTFL
#> 1 C: Combination A: Drug X South America B S1 4.156914 MEDIUM Y
#> 2 C: Combination A: Drug X South America B S1 4.156914 MEDIUM Y
#> 3 C: Combination A: Drug X South America B S1 4.156914 MEDIUM Y
#> 4 C: Combination A: Drug X South America B S1 4.156914 MEDIUM Y
#> 5 C: Combination A: Drug X South America B S1 4.156914 MEDIUM Y
#> 6 B: Placebo A: Drug X South America B S2 6.462991 LOW Y
#> SAFFL BMEASIFL BEP01FL AEWITHFL RANDDT TRTSDTM
#> 1 Y Y Y N 2020-03-08 2020-03-08 05:39:28
#> 2 Y Y Y N 2020-03-08 2020-03-08 05:39:28
#> 3 Y Y Y N 2020-03-08 2020-03-08 05:39:28
#> 4 Y Y Y N 2020-03-08 2020-03-08 05:39:28
#> 5 Y Y Y N 2020-03-08 2020-03-08 05:39:28
#> 6 Y Y N N 2020-11-03 2020-11-04 04:08:58
#> TRTEDTM TRT01SDTM TRT01EDTM
#> 1 2022-02-14 20:58:26 2020-03-08 05:39:28 2021-02-14 14:58:26
#> 2 2022-02-14 20:58:26 2020-03-08 05:39:28 2021-02-14 14:58:26
#> 3 2022-02-14 20:58:26 2020-03-08 05:39:28 2021-02-14 14:58:26
#> 4 2022-02-14 20:58:26 2020-03-08 05:39:28 2021-02-14 14:58:26
#> 5 2022-02-14 20:58:26 2020-03-08 05:39:28 2021-02-14 14:58:26
#> 6 2022-02-20 03:33:55 2020-11-04 04:08:58 2021-02-19 21:33:55
#> TRT02SDTM TRT02EDTM AP01SDTM
#> 1 2021-02-14 14:58:26 2022-02-14 20:58:26 2020-03-08 05:39:28
#> 2 2021-02-14 14:58:26 2022-02-14 20:58:26 2020-03-08 05:39:28
#> 3 2021-02-14 14:58:26 2022-02-14 20:58:26 2020-03-08 05:39:28
#> 4 2021-02-14 14:58:26 2022-02-14 20:58:26 2020-03-08 05:39:28
#> 5 2021-02-14 14:58:26 2022-02-14 20:58:26 2020-03-08 05:39:28
#> 6 2021-02-19 21:33:55 2022-02-20 03:33:55 2020-11-04 04:08:58
#> AP01EDTM AP02SDTM AP02EDTM EOSSTT
#> 1 2021-02-14 14:58:26 2021-02-14 14:58:26 2022-02-14 20:58:26 DISCONTINUED
#> 2 2021-02-14 14:58:26 2021-02-14 14:58:26 2022-02-14 20:58:26 DISCONTINUED
#> 3 2021-02-14 14:58:26 2021-02-14 14:58:26 2022-02-14 20:58:26 DISCONTINUED
#> 4 2021-02-14 14:58:26 2021-02-14 14:58:26 2022-02-14 20:58:26 DISCONTINUED
#> 5 2021-02-14 14:58:26 2021-02-14 14:58:26 2022-02-14 20:58:26 DISCONTINUED
#> 6 2021-02-19 21:33:55 2021-02-19 21:33:55 2022-02-20 03:33:55 DISCONTINUED
#> EOTSTT EOSDT EOSDY DCSREAS DTHDT DTHCAUS
#> 1 DISCONTINUED 2022-02-14 709 PROTOCOL VIOLATION <NA> <NA>
#> 2 DISCONTINUED 2022-02-14 709 PROTOCOL VIOLATION <NA> <NA>
#> 3 DISCONTINUED 2022-02-14 709 PROTOCOL VIOLATION <NA> <NA>
#> 4 DISCONTINUED 2022-02-14 709 PROTOCOL VIOLATION <NA> <NA>
#> 5 DISCONTINUED 2022-02-14 709 PROTOCOL VIOLATION <NA> <NA>
#> 6 DISCONTINUED 2022-02-20 473 DEATH 2022-03-16 ADVERSE EVENT
#> DTHCAT LDDTHELD LDDTHGR1 LSTALVDT DTHADY ADTHAUT ASEQ TTESEQ
#> 1 <NA> NA <NA> 2022-03-09 NA <NA> 4 4
#> 2 <NA> NA <NA> 2022-03-09 NA <NA> 2 2
#> 3 <NA> NA <NA> 2022-03-09 NA <NA> 3 3
#> 4 <NA> NA <NA> 2022-03-09 NA <NA> 1 1
#> 5 <NA> NA <NA> 2022-03-09 NA <NA> NA NA
#> 6 ADVERSE EVENT 24 <=30 2022-03-16 496 Yes 2 2
#> PARAM PARAMCD AVAL AVALU ADTM
#> 1 Duration of Confirmed Response CRSD 1273.8498 DAYS 2021-05-27 05:39:28
#> 2 Event Free Survival EFS 135.9787 DAYS 2020-09-25 05:39:28
#> 3 Overall Survival OS 1759.8678 DAYS 2020-11-25 05:39:28
#> 4 Progression Free Survival PFS 241.1912 DAYS 2020-03-30 05:39:28
#> 5 Total Number of Exacerbations TNE 1.0000 COUNT <NA>
#> 6 Duration of Confirmed Response CRSD 544.5728 DAYS 2021-10-05 04:08:58
#> ADY CNSR EVNTDESC CNSDTDSC lgTMATRSK
#> 1 445 1 Last Date Known To Be Alive End of AE Reporting Period NA
#> 2 201 0 Death NA
#> 3 262 0 Death NA
#> 4 22 0 Disease Progression NA
#> 5 NA 1 <NA> End of AE Reporting Period -2.802988
#> 6 335 0 Death NA
#> ...