[HTML][HTML] Randomization tests that condition on non-categorical covariate balance

Z Branson, LW Miratrix - Journal of Causal Inference, 2019 - degruyter.com
A benefit of randomized experiments is that covariate distributions of treatment and control
groups are balanced on average, resulting in simple unbiased estimators for treatment …

Randomization procedures for multicomponent behavioral intervention factorial trials in the multiphase optimization strategy framework: challenges and …

JA Gallis, GG Bennett, DM Steinberg… - Translational …, 2019 - academic.oup.com
The multiphase optimization strategy (MOST) is an increasingly popular framework to
prepare, optimize, and evaluate multicomponent behavioral health interventions. Within this …

Optimal designs for testing hypothesis in multiarm clinical trials

A Baldi Antognini, M Novelli… - Statistical methods in …, 2019 - journals.sagepub.com
The present paper deals with the problem of designing randomized multiarm clinical trials
for treatment comparisons in order to achieve a suitable trade-off among inferential precision …

Randomized controlled trial of motivational interviewing to support breastfeeding among Appalachian women

SH Addicks, DW McNeil - Journal of Obstetric, Gynecologic & Neonatal …, 2019 - Elsevier
Objective To determine the effectiveness of a single session of prenatal motivational
interviewing (MI) to enhance breastfeeding outcomes. Design A randomized controlled trial …

Open source web based software for random assignment/allocation methods in data processing

AK Arslan, IB Çiçek, C Çolak - 2019 International Artificial …, 2019 - ieeexplore.ieee.org
In this study, it is aimed to develop a user-friendly open-source web-based software which
enables the assignment of the subjects included in the scientific research to the groups with …

Machine learning-based modeling of big clinical trials data for adverse outcome prediction: A case study of death events

L Tong, J Luo, R Cisler, M Cantor - 2019 IEEE 43rd Annual …, 2019 - ieeexplore.ieee.org
It is known that clinical trials have potential risks for participants, which could result in
unexpected adverse events. To quantify and predict the risk of adverse outcomes, we …

The role of randomization in Bayesian and frequentist design of clinical trial

P Berchialla, D Gregori, I Baldi - Topoi, 2019 - Springer
A key role in inference is played by randomization, which has been extensively used in
clinical trials designs. Randomization is primarily intended to prevent the source of bias in …

Estimation of pathogenic exposure levels and associated baseline bio-risks in edible terrestrial snails (Achachatina marginata) sold in Nigerian markets

EJ Okafor-Elenwo, OS Imade - Journal of Applied Sciences and …, 2019 - ajol.info
This research estimated the pathogenic exposure levels and associated baseline bio-risks
in edible terrestrial snails (Achachatina marginata) sold in the Nigerian markets in an …

[HTML][HTML] Randomization in survival studies: An evaluation method that takes into account selection and chronological bias

MV Rückbeil, RD Hilgers, N Heussen - Plos one, 2019 - journals.plos.org
The random allocation of patients to treatments is a crucial step in the design and conduct of
a randomized controlled trial. For this purpose, a variety of randomization procedures is …

Optimal rerandomization via a criterion that provides insurance against failed experiments

A Kapelner, AM Krieger, M Sklar, D Azriel - arXiv preprint arXiv …, 2019 - arxiv.org
We present an optimized rerandomization design procedure for a non-sequential treatment-
control experiment. Randomized experiments are the gold standard for finding causal effects …