Results 21 to 30 of about 11,330,431 (362)

Randomisation in a clinical trial: is it feasible in the Ebola crisis? If it is, then which method is suitable?

open access: yesSouthern African Journal of Infectious Diseases, 2016
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
doaj   +1 more source

Utilizing harmonization and common surveillance methods to consolidate 4 cohorts: the Western Alaska Tribal Collaborative for Health (WATCH) study [PDF]

open access: yesInternational Journal of Circumpolar Health, 2013
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
doaj   +1 more source

On the Power of Statistical Model Checking [PDF]

open access: yes, 2016
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
openaire   +3 more sources

Reliable gains? Evidence for substantially underpowered designs in studies of working memory training transfer to fluid intelligence

open access: yesFrontiers in Psychology, 2015
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
doaj   +1 more source

A Fast Multi-Locus Ridge Regression Algorithm for High-Dimensional Genome-Wide Association Studies

open access: yesFrontiers in Genetics, 2021
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
doaj   +1 more source

The posterior probability of a null hypothesis given a statistically significant result [PDF]

open access: yesTutorials in Quantitative Methods for Psychology, 2022
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
doaj   +1 more source

On Attenuated Interactions, Measurement Error, and Statistical Power: Guidelines for Social and Personality Psychologists

open access: yesPersonality and Social Psychology Bulletin, 2020
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
semanticscholar   +1 more source

Estimating statistical power for detecting long term trends in surface water Escherichia coli concentrations

open access: yesTexas Water Journal, 2021
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
doaj  

Repeated Measures Correlation

open access: yesFrontiers in Psychology, 2017
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
doaj   +1 more source

A cautionary note on the use of the Analysis of Covariance (ANCOVA) in classification designs with and without within-subject factors

open access: yesFrontiers in Psychology, 2015
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
doaj   +1 more source

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