- That can be ignored.
- (statistics, of missing data) Unrelated to the parameters being estimated
- 2003, Jos W. R. Twisk, Applied Longitudinal Data Analysis for Epidemiology, →ISBN:
- Although there is an abundance of statistical literature describing (complicated) methods that can be used to investigate whether or not one is dealing with ignorable or informative missing data in a longitudinal study (see, for instance, Diggle, 1989; Ridout, 1991; Diggle et al., 1994), it is basically quote easy to investigat this matter.
- 2007, Patrick E. McKnight, Katherine M. McKnight, & Souraya Sidani, Missing Data: A Gentle Introduction, →ISBN, page 50:
- Another pertinent distinction in Rubin's missing data classification system is whether the missing data mechanism is ignorable.
- 2015, Trivellore Raghunathan, Missing Data Analysis in Practice, →ISBN, page 6:
- If θ and φ are not functionally related to each other (or that the knowledge of one does not provide any information about the other) then the parameters are called “distinct,” and the missing data mechanism is ignorable.
- Used especially in statistics, in regards to the conditions under which the fact that a set of observations has missing data items can be ignored in statistical inference.
- (that can be ignored): unignorable, noticeable, important, radical, significant
- (independent of predictor variables): informative
that can be ignored