1.
ROBIS: A new tool to assess risk of bias in systematic reviews was developed
by Whiting, Penny
Journal of clinical epidemiology, 2016, Vol.69, p.225-234
2.
A systematic review classifies sources of bias and variation in diagnostic test accuracy studies
by Whiting, Penny F
Journal of clinical epidemiology, 2013, Vol.66 (10), p.1093-1104
3.
The rationale for rating risk of bias should be fully reported: response
by Whiting, Penny
Journal of clinical epidemiology, 2016, Vol.76, p.239-239
4.
Inclusion of methodological filters in searches for diagnostic test accuracy studies misses relevant studies
by Whiting, Penny
Journal of clinical epidemiology, 2011, Vol.64 (6), p.602-607
5.
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI
by Sounderajah, Viknesh
Nature medicine, 2021-10-01, Vol.27 (10), p.1663-1665
6.
An empirical comparison of methods for meta-analysis of diagnostic accuracy showed hierarchical models are necessary
by Harbord, Roger M
Journal of clinical epidemiology, 2008, Vol.61 (11), p.1095-1103
7.
Systematic reviews of test accuracy should search a range of databases to identify primary studies
by Whiting, Penny
Journal of clinical epidemiology, 2008, Vol.61 (4), p.357.e1-357.e10
8.
Guidance was developed on how to write a plain language summary for diagnostic test accuracy reviews
by Whiting, Penny
Journal of clinical epidemiology, 2018-11, Vol.103, p.112-119
9.
Meta-epidemiologic analysis indicates that MEDLINE searches are sufficient for diagnostic test accuracy systematic reviews
by van Enst, Wynanda A
Journal of clinical epidemiology, 2014, Vol.67 (11), p.1192-1199
10.
A review identifies and classifies reasons for ordering diagnostic tests
by Whiting, Penny
Journal of clinical epidemiology, 2007, Vol.60 (10), p.981-989
11.
Inclusion of methodological filters in searches for diagnostic test accuracy studies misses relevant studies - Reply
by Beynon, Rebecca
Journal of clinical epidemiology, 2012, Vol.65 (1), p.117-118
12.
A systematic review finds that diagnostic reviews fail to incorporate quality despite available tools
by Whiting, Penny
Journal of clinical epidemiology, 2005, Vol.58 (1), p.1-12
13.
Guidance was developed on how to write a plain language summary for diagnostic test accuracy reviews
by Whiting, Penny
Journal of clinical epidemiology, 2018-11, Vol.103, p.112-119
14.
ROBIS : A new tool to assess risk of bias in systematic reviews was developed
by Whiting, Penny
Journal of clinical epidemiology, 2016-01, Vol.69, p.225
15.
Response to commentary: dealing with heterogeneity in meta-analyses of diagnostic test accuracy
by Roger Harbord
Journal of clinical epidemiology, 2008-11-01, Vol.61 (11), p.1083
16.
An empirical comparison of methods for meta-analysis of diagnostic accuracy showed hierarchical models are necessary. Commentary. Authors' reply
by BEGG, Colin B
Journal of clinical epidemiology, 2008, Vol.61 (11)
17.
Response to commentary: dealing with heterogeneity in meta-analyses of diagnostic test accuracy
by Harbord, Roger
Journal of clinical epidemiology, 2008, Vol.61 (11), p.1083-1084
18.
Dietary Reference Intakes: Guiding Principles for Nutrition Labeling and Fortification
Nutrition reviews, 2004-02-01, Vol.62 (2), p.73-79
