create the study population settings

createStudyPopulationSettings(binary = T, includeAllOutcomes = T,
firstExposureOnly = FALSE, washoutPeriod = 0,
removeSubjectsWithPriorOutcome = TRUE, priorOutcomeLookback = 99999,
requireTimeAtRisk = T, minTimeAtRisk = 364, riskWindowStart = 1,
addExposureDaysToStart = FALSE, riskWindowEnd = 365,
addExposureDaysToEnd = F, verbosity = "INFO")

## Arguments

binary 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). Add the length of exposure the start of the risk window? The end of the risk window (in days) relative to the index data (+ days of exposure if the addExposureDaysToEnd parameter is specified). Add the length of exposure the risk window? Sets the level of the verbosity. If the log level is at or higher in priority than the logger threshold, a message will print. The levels are: DEBUGHighest verbosity showing all debug statements TRACEShowing information about start and end of steps INFOShow informative information (Default) WARNShow warning messages ERRORShow error messages FATALBe silent except for fatal errors #'

## Value

A list containing all the settings required for creating the study population

## Details

Takes as input the inputs to create study population