uat_recent: Define Recentness of Exposure at Event Date
In amarshall1/prescribeR: Quantify Exposure Based On Routine Prescribing Data

Description Usage Arguments Value Examples

Classifies patients as current or past users of the drug(s) of interest at an event date based on a user-defined time window, and calculates the number of prescriptions that fall within and outwith the recent use window.

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uat_recent(df, df2, drug, timeframe, patient_id_col = "patient_id",
  drug_id_col = "drug_id", presc_date_col = "presc_date_x",
  ev_date_col = "ev_date_1", date_format)

`df`	a data frame containing prescription records to be analysed; records must contain at least a patient ID, drug ID and prescription date
`df2`	a data frame containing medical event data to be analysed; records must contain at least a patient ID and event date, maximum 1 event per patient
`drug`	a string containing a drug ID to be used to limit the prescribing data to the drug(s) of interest, accepts regular expressions
`timeframe`	a number, subtracted from the event date to define the start of the rexcent use period
`patient_id_col`	a string, the name of the column in `df` and `df2` containing the patient IDs
`drug_id_col`	a string, the name of the column in `df` containing the drug IDs
`presc_date_col`	a string, the name of the column in `df` containing the date the drug was prescribed
`ev_date_col`	a string, the name of the column in `df2` containing the event dates
`date_format`	a string, the format of the dates contained in `df` and `df2`

a data frame containing patient IDs, the number of prescriptions in each period and the use classification at the event date

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uat_recent(df = synth_presc, df2 = synth_events, drug = "OMEPRAZOLE", timeframe = 30,
drug_id_col = "approved_name", presc_date_col = "presc_date",
ev_date_col = "event_1", date_format = "%Y-%m-%d")