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Randomisation is an integral component of any sensible clinical trial. Randomisation is the only way we can be sure that the patients have been allocated into the treatment arms with as minimum bias as possible, and that the treatment arms are similar ...
Jesca M. Batidzirai
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Utilizing harmonization and common surveillance methods to consolidate 4 cohorts: the Western Alaska Tribal Collaborative for Health (WATCH) study [PDF]
Background. According to health status reports, chronic disease prevalence appears to be rising in western Alaska Native (AN) people, and accurate population-based data are needed.
Kathryn R. Koller+10 more
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On the Power of Statistical Model Checking [PDF]
This paper contains material for our tutorial presented at STRESS 2016. This includes an introduction to Statistical Model Checking algorithms and their rare event extensions, as well as an introduction to two well-known SMC tools: Plasma and Uppaal.
Larsen, Kim G., Legay, Axel
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In recent years, cognitive scientists and commercial interests (e.g., Fit Brains, Lumosity) have focused research attention and financial resources on cognitive tasks, especially working memory tasks, to explore and exploit possible transfer effects to ...
Tim eBogg, Leanne eLasecki
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A Fast Multi-Locus Ridge Regression Algorithm for High-Dimensional Genome-Wide Association Studies
The mixed linear model (MLM) has been widely used in genome-wide association study (GWAS) to dissect quantitative traits in human, animal, and plant genetics.
Jin Zhang+7 more
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The posterior probability of a null hypothesis given a statistically significant result [PDF]
When researchers carry out a null hypothesis significance test, it is tempting to assume that a statistically significant result lowers Prob(H0), the probability of the null hypothesis being true.
Schad, Daniel J., Vasishth, Shravan
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The replication crisis has seen increased focus on best practice techniques to improve the reliability of scientific findings. What remains elusive to many researchers and is frequently misunderstood is that predictions involving interactions ...
Khandis R. Blake, S. Gangestad
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Water quality monitoring programs commonly use the Mann-Kendall test or linear regression to identify statistically significant monotonic trends in fecal indicator bacteria concentrations (typically Escherichia coli [E. coli]).
Michael Paul Schramm
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Repeated measures correlation (rmcorr) is a statistical technique for determining the common within-individual association for paired measures assessed on two or more occasions for multiple individuals.
Jonathan Z. Bakdash, Laura R. Marusich
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A number of statistical textbooks recommend using an analysis of covariance (ANCOVA) to control for the effects of extraneous factors that might influence the dependent measure of interest. However, it is not generally recognized that serious problems of
Bruce A Schneider+2 more
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