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.
Interval censored data is the last of those: data where at least some values are known to be between two values. I have never seen this in reports but I suspect it happens when we know that a client was seen between one date and a later date but the actual date was not recorded. I guess I’m only putting it in here for completeness!
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
Left censoring
Right censoring
Survival analysis
Type I censoring
Type II censoring
Chapters #
Not covered in the OMbook.
Online resources #
None forseeable.
Dates #
First created 12.xii.24, links updated 15.xii.24.
