`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
)
```

- binary
Forces the outcomeCount to be 0 or 1 (use for binary prediction problems)

- includeAllOutcomes
(binary) indicating whether to include people with outcomes who are not observed for the whole at risk period

- firstExposureOnly
Should only the first exposure per subject be included? Note that this is typically done in the

`createStudyPopulation`

function,- washoutPeriod
The mininum required continuous observation time prior to index date for a person to be included in the cohort.

- removeSubjectsWithPriorOutcome
Remove subjects that have the outcome prior to the risk window start?

- priorOutcomeLookback
How many days should we look back when identifying prior outcomes?

- requireTimeAtRisk
Should subject without time at risk be removed?

- minTimeAtRisk
The minimum number of days at risk required to be included

- riskWindowStart
The start of the risk window (in days) relative to the index date (+ days of exposure if the

`addExposureDaysToStart`

parameter is specified).- startAnchor
The anchor point for the start of the risk window. Can be "cohort start" or "cohort end".

- riskWindowEnd
The end of the risk window (in days) relative to the index data (+ days of exposure if the

`addExposureDaysToEnd`

parameter is specified).- endAnchor
The anchor point for the end of the risk window. Can be "cohort start" or "cohort end".

- restrictTarToCohortEnd
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