R/PopulationSettings.R
createStudyPopulationSettings.Rd
create the study population settings
createStudyPopulationSettings(
binary = T,
includeAllOutcomes = T,
firstExposureOnly = FALSE,
washoutPeriod = 0,
removeSubjectsWithPriorOutcome = TRUE,
priorOutcomeLookback = 99999,
requireTimeAtRisk = T,
minTimeAtRisk = 364,
riskWindowStart = 1,
startAnchor = "cohort start",
riskWindowEnd = 365,
endAnchor = "cohort start",
restrictTarToCohortEnd = F
)
Forces the outcomeCount to be 0 or 1 (use for binary prediction problems)
(binary) indicating whether to include people with outcomes who are not observed for the whole at risk period
Should only the first exposure per subject be included? Note that
this is typically done in the createStudyPopulation
function,
The mininum required continuous observation time prior to index date for a person to be included in the cohort.
Remove subjects that have the outcome prior to the risk window start?
How many days should we look back when identifying prior outcomes?
Should subject without time at risk be removed?
The minimum number of days at risk required to be included
The start of the risk window (in days) relative to the index date (+
days of exposure if the addExposureDaysToStart
parameter is
specified).
The anchor point for the start of the risk window. Can be "cohort start" or "cohort end".
The end of the risk window (in days) relative to the index data (+
days of exposure if the addExposureDaysToEnd
parameter is
specified).
The anchor point for the end of the risk window. Can be "cohort start" or "cohort end".
If using a survival model and you want the time-at-risk to end at the cohort end date set this to T
A list containing all the settings required for creating the study population
Takes as input the inputs to create study population