1.
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

2.
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

3.
Near-optimal probabilistic RNA-seq quantification
by Bray, Nicolas L
Nature biotechnology, 2016-05, Vol.34 (5), p.525-527

4.
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

5.
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

6.
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

7.
Prognostic score–based balance measures can be a useful diagnostic for propensity score methods in comparative effectiveness research
by Stuart, Elizabeth A
Journal of clinical epidemiology, 2013, Vol.66 (8), p.S84-S90.e1

8.
QUAGOL: A guide for qualitative data analysis
by Dierckx de Casterlé, Bernadette
International journal of nursing studies, 2012-03, Vol.49 (3), p.360-371

9.
Predictive distributions were developed for the extent of heterogeneity in meta-analyses of continuous outcome data
by Rhodes, Kirsty M
Journal of clinical epidemiology, 2015, Vol.68 (1), p.52-60

10.
Optimal Unified Approach for Rare-Variant Association Testing with Application to Small-Sample Case-Control Whole-Exome Sequencing Studies
by Lee, Seunggeun
American journal of human genetics, 2012-08-10, Vol.91 (2), p.224-237

11.
Propensity score estimation: neural networks, support vector machines, decision trees (CART), and meta-classifiers as alternatives to logistic regression
by Westreich, Daniel
Journal of clinical epidemiology, 2010, Vol.63 (8), p.826-833

12.
Missing data in a multi-item instrument were best handled by multiple imputation at the item score level
by Eekhout, Iris
Journal of clinical epidemiology, 2014, Vol.67 (3), p.335-342

13.
Interpretative phenomenological analysis: a discussion and critique
by Pringle, Jan
Nurse researcher, 2011, Vol.18 (3), p.20-24

14.
Minor differences were found between AMSTAR 2 and ROBIS in the assessment of systematic reviews including both randomized and nonrandomized studies
by Pieper, Dawid
Journal of clinical epidemiology, 2019-04, Vol.108, p.26-33

15.
High-throughput genome scaffolding from in vivo DNA interaction frequency
by Kaplan, Noam
Nature biotechnology, 2013-12, Vol.31 (12), p.1143-1147

16.
Lack of transparency in reporting narrative synthesis of quantitative data: a methodological assessment of systematic reviews
by Campbell, Mhairi
Journal of clinical epidemiology, 2019-01, Vol.105, p.1-9

17.
GRADE approach to rate the certainty from a network meta-analysis: addressing incoherence
by Brignardello-Petersen, Romina
Journal of clinical epidemiology, 2019-04, Vol.108, p.77-85

18.
A Bayesian Measure of the Probability of False Discovery in Genetic Epidemiology Studies
by Wakefield, Jon
American journal of human genetics, 2007, Vol.81 (2), p.208-227

19.
Paediatric autoimmune encephalopathies: clinical features, laboratory investigations and outcomes in patients with or without antibodies to known central nervous system autoantigen...
by Hacohen, Yael
Journal of neurology, neurosurgery and psychiatry, 2013-07, Vol.84 (7), p.748-755

20.
Dissociable Effects of Dopamine and Serotonin on Reversal Learning
by den Ouden, Hanneke E.M
Neuron (Cambridge, Mass.), 2013-11-20, Vol.80 (4), p.1090-1100
