Trial concept calculated: sample size of the trial, preferring results-related if available over protocol-related information. Thus, the interpretation of the calculated number depends on the status of the recruitment (see f.statusRecruitment) and on the availability of results data (see f.resultsDate).
Arguments
- df
data frame such as from dbGetFieldsIntoDf. If
NULL, prints fields needed indffor calculating this trial concept, which can be used with dbGetFieldsIntoDf.
Examples
# fields needed
f.sampleSize()
#> $euctr
#> [1] "trialInformation.countrySubjectCounts.countrySubjectCount.subjects"
#> [2] "f11_number_of_subjects_for_this_age_range"
#> [3] "f1111_number_of_subjects_for_this_age_range"
#> [4] "f1121_number_of_subjects_for_this_age_range"
#> [5] "f1131_number_of_subjects_for_this_age_range"
#> [6] "f1141_number_of_subjects_for_this_age_range"
#> [7] "f1151_number_of_subjects_for_this_age_range"
#> [8] "f1161_number_of_subjects_for_this_age_range"
#> [9] "f121_number_of_subjects_for_this_age_range"
#> [10] "f131_number_of_subjects_for_this_age_range"
#>
#> $ctgov
#> [1] "enrollment"
#>
#> $ctgov2
#> [1] "protocolSection.designModule.enrollmentInfo.count"
#>
#> $isrctn
#> [1] "participants.targetEnrolment" "participants.totalFinalEnrolment"
#>
#> $ctis
#> [1] "totalNumberEnrolled"
#> [2] "authorizedPartsII.recruitmentSubjectCount"
#> [3] "authorizedPartI.rowSubjectCount"
#> [4] "authorizedApplication.authorizedPartsII.recruitmentSubjectCount"
#> [5] "authorizedApplication.authorizedPartI.rowSubjectCount"
#>
# apply trial concept when creating data frame
dbc <- nodbi::src_sqlite(
dbname = system.file("extdata", "demo.sqlite", package = "ctrdata"),
collection = "my_trials", flags = RSQLite::SQLITE_RO)
trialsDf <- dbGetFieldsIntoDf(
calculate = "f.sampleSize",
con = dbc)
#> To review trial concepts details, call 'help("ctrdata-trial-concepts")'
#> Querying database (19 fields)...
#> Typing fields...
#> Calculating f.sampleSize...
trialsDf
#> # A tibble: 25 × 2
#> `_id` .sampleSize
#> <chr> <int>
#> 1 12949496 9
#> 2 13281214 60
#> 3 17473621 100
#> 4 2013-000615-24-BE 60
#> 5 2016-004489-24-DE 186
#> 6 2019-002663-10-ES 145
#> 7 2022-000099-20-DE 8057
#> 8 2022-500244-37-00 150
#> 9 2023-505613-24-00 13
#> 10 2023-508143-51-01 11
#> # ℹ 15 more rows