Censored data (see entry) is data where at least some values are not know accurately but are known to be bigger than a given value, less than a given value, or between two values. Right censored data is the second of those: data where at least some values are known to be above a value but not (yet) known precisely. This typically happens in follow-up or counting data. The data may be how many sessions clients attend but, if some therapies are ongoing at the time this the data is updated, some values are only known to be going to be greater than or equal to the number of sessions attended to that date: right censored.
Details #
This matters because if we ignore the censoring we have introduced a bias into our estimation of general durations of therapies for that study. However, there are statistical methods that handle censoring and will avoid that bias (given some sensible assumptions mostly that the pattern of duration hasn’t actually changed across the period of the study). See survival analysis for probably the biggest class of such methods.
Try also #
Censored data
Frailty analysis
Interval censoring
Left censoring
Survival analysis
Type I censoring
Type II censoring
Chapters #
Not covered in the OMbook.
Online resources #
None forseeable.
Dates #
First created 9.xii.24, links updated 15.xii.24.
