createHospitalTimeBlocks: Calculates block data for hospitalisations

In smm52/timeBlocks: Converts Serial Measurement Data into Longitudinal Trajectory of Equally-sized Time Blocks

Calculates block data for hospitalisations

Description

Calculates block data for hospitalisations

Usage

createHospitalTimeBlocks(
  serialDf,
  baselineInfo,
  studyStartDate,
  studyEndDate,
  blockDays = 365.25,
  blDayDiff = 90,
  idColumn = "PATIENT",
  startDateColumn = "VISIT_START",
  endDateColumn = "VISIT_END",
  countNights = TRUE,
  blDateColumn = "VISIT",
  longFormat = TRUE
)

Arguments

serialDf	the data frame with the hospital events (one row per event)
baselineInfo	dataframe with ID and baseline date
studyStartDate	start Date of the study (has to be of class Date)
studyEndDate	end Date of the study (has to be of class Date)
blockDays	length of a time block in days (default 365.25 days)
blDayDiff	time in days that should be searched for a measurement around the baseline visit (default 90)
idColumn	name of ID column: default is PATIENT
startDateColumn	name of start date column (day of hospitalisation or outpatient visit): default is VISIT_START. This column has to be of class Date
endDateColumn	name of end date column (release date): default is VISIT_END. This column has to be of class Date
countNights	flag indicating whether to count the days in hospital or the night: default TRUE, count nights (if nights are counted, an outpatient stay has length 0, otherwise 1)
blDateColumn	name of the column containing the baseline date (date has to be of class Date): default is VISIT
longFormat	flag to indicate whether results should be in long or wide format. Wide has some additional columns (default: TRUE)

Value

time block data and dates in wide format

smm52/timeBlocks documentation built on Nov. 27, 2022, 3:54 a.m.