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.
A Randomized Comparison of Patients’ Understanding of Number Needed to Treat and Other Common Risk Reduction Formats
by Sheridan, Stacey L.
Journal of general internal medicine : JGIM, 2003-11, Vol.18 (11), p.884-892
7.
How does multiple testing correction work?
by Noble, William S
Nature biotechnology, 2009-12, Vol.27 (12), p.1135-1137
8.
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
9.
Near-optimal probabilistic RNA-seq quantification
by Bray, Nicolas L
Nature biotechnology, 2016-05, Vol.34 (5), p.525-527
10.
Advances in Mediation Analysis: A Survey and Synthesis of New Developments
by Preacher, Kristopher J
Annual review of psychology, 2015-01-03, Vol.66 (1), p.825-852
11.
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
12.
Vector field statistical analysis of kinematic and force trajectories
by Pataky, Todd C
Journal of biomechanics, 2013, Vol.46 (14), p.2394-2401
13.
Missing Data Analysis : Making It Work in the Real World
by GRAHAM, John W
Annual review of psychology, 2009, Vol.60 (1), p.549-576
14.
Statistical Foundations for Model-Based Adjustments
by Greenland, Sander
Annual review of public health, 2015-03-18, Vol.36 (1), p.89-108
15.
Latent Variable Modeling of Differences and Changes with Longitudinal Data
by MCARDLE, John J
Annual review of psychology, 2009, Vol.60 (1), p.577-605
16.
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
17.
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
18.
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
19.
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
20.
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
