1.
Radar plots: a useful way for presenting multivariate health care data
by Saary, M. Joan
Journal of clinical epidemiology, 2008, Vol.61 (4), p.311-317

2.
Design analysis indicates Potential overestimation of treatment effects in randomized controlled trials supporting Food and Drug Administration cancer drug approvals
by Lord, Emily M
Journal of clinical epidemiology, 2018-11, Vol.103, p.1-9

3.
Cochran's Q test was useful to assess heterogeneity in likelihood ratios in studies of diagnostic accuracy
by Cohen, Jérémie F
Journal of clinical epidemiology, 2015, Vol.68 (3), p.299-306

4.
Attention should be given to multiplicity issues in systematic reviews
by Bender, Ralf
Journal of clinical epidemiology, 2008, Vol.61 (9), p.857-865

5.
[11C]Metomidate Positron Emission Tomography of Adrenocortical Tumors in Correlation with Histopathological Findings
by Hennings, Joakim
The journal of clinical endocrinology and metabolism, 2006-04, Vol.91 (4), p.1410-1414

6.
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations
by Greenland, Sander
European journal of epidemiology, 2016-01-01, Vol.31 (4), p.337-350

7.
Near-optimal probabilistic RNA-seq quantification
by Bray, Nicolas L
Nature biotechnology, 2016-05, Vol.34 (5), p.525-527

8.
A Generalized K Statistic for Estimating Phylogenetic Signal from Shape and Other High-Dimensional Multivariate Data
by Adams, Dean C
Systematic biology, 2014-09-01, Vol.63 (5), p.685-697

9.
Vector field statistical analysis of kinematic and force trajectories
by Pataky, Todd C
Journal of biomechanics, 2013, Vol.46 (14), p.2394-2401

10.
Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors
by Burgess, Stephen
European journal of epidemiology, 2015-01-01, Vol.30 (7), p.543-552

11.
The proportion of missing data should not be used to guide decisions on multiple imputation
by Madley-Dowd, Paul
Journal of clinical epidemiology, 2019-06, Vol.110, p.63-73

12.
How does multiple testing correction work?
by Noble, William S
Nature biotechnology, 2009-12, Vol.27 (12), p.1135-1137

13.
Is BAMM Flawed? Theoretical and Practical Concerns in the Analysis of Multi-Rate Diversification Models
by Rabosky, Daniel L
Systematic biology, 2017-07-01, Vol.66 (4), p.477-498

14.
A new framework to enhance the interpretation of external validation studies of clinical prediction models
by Debray, Thomas P.A
Journal of clinical epidemiology, 2015, Vol.68 (3), p.279-289

15.
Multiple imputation of missing values was not necessary before performing a longitudinal mixed-model analysis
by Twisk, Jos
Journal of clinical epidemiology, 2013, Vol.66 (9), p.1022-1028

16.
In meta-analyses of proportion studies, funnel plots were found to be an inaccurate method of assessing publication bias
by Hunter, James P
Journal of clinical epidemiology, 2014, Vol.67 (8), p.897-903

17.
GBD 2010: design, definitions, and metrics
by Murray, Christopher JL
The Lancet (British edition), 2012, Vol.380 (9859), p.2063-2066

18.
Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial
by Salanti, Georgia
Journal of clinical epidemiology, 2011, Vol.64 (2), p.163-171

19.
BEAGLE 3: Improved Performance, Scaling, and Usability for a High-Performance Computing Library for Statistical Phylogenetics
by Ayres, Daniel L
Systematic biology, 2019-11-01, Vol.68 (6), p.1052-1061

20.
Mechanisms Underlying Selective Neuronal Tracking of Attended Speech at a “Cocktail Party”
by Zion Golumbic, Elana M
Neuron (Cambridge, Mass.), 2013-03-06, Vol.77 (5), p.980-991
