In:
Statistical Methods in Medical Research, SAGE Publications, Vol. 28, No. 12 ( 2019-12), p. 3741-3754
Kurzfassung:
Published studies in Medicine (and virtually any other discipline) sometimes report that a difference or correlation did not reach statistical significance but do not report its effect size or any statistic from which the latter may be derived. Unfortunately, meta-analysts should not exclude these studies because their exclusion would bias the meta-analytic outcome, but also they cannot be included as null effect sizes because this strategy is also associated to bias. To overcome this problem, we have developed MetaNSUE, a novel method based on multiple imputations of the censored information. We also provide an R package and an easy-to-use Graphical User Interface for non-R meta-analysts.
Materialart:
Online-Ressource
ISSN:
0962-2802
,
1477-0334
DOI:
10.1177/0962280218811349
Sprache:
Englisch
Verlag:
SAGE Publications
Publikationsdatum:
2019
ZDB Id:
2001539-2
ZDB Id:
1136948-6
