Results 11 to 20 of about 3,328,774 (379)

Confidence intervals for policy evaluation in adaptive experiments [PDF]

open access: yesProceedings of the National Academy of Sciences of the United States of America, 2019
Significance Randomized controlled trials are central to the scientific process, but they can be costly. For example, a clinical trial may assign patients to treatments that are detrimental to them.

semanticscholar   +1 more source

Confidence intervals for fMRI activation maps. [PDF]

open access: yesPLoS ONE, 2013
Neuroimaging activation maps typically color voxels to indicate whether the blood oxygen level-dependent (BOLD) signals measured among two or more experimental conditions differ significantly at that location.
Stephen A Engel, Philip C Burton
doaj   +1 more source

Causal inference by using invariant prediction: identification and confidence intervals [PDF]

open access: yes, 2015
What is the difference between a prediction that is made with a causal model and that with a non‐causal model? Suppose that we intervene on the predictor variables or change the whole environment.
J. Peters   +2 more
semanticscholar   +1 more source

Genome sequence-based species delimitation with confidence intervals and improved distance functions

open access: yesBMC Bioinformatics, 2013
For the last 25 years species delimitation in prokaryotes (Archaea and Bacteria) was to a large extent based on DNA-DNA hybridization (DDH), a tedious lab procedure designed in the early 1970s that served its purpose astonishingly well in the absence of ...
Jan P. Meier-Kolthoff   +3 more
semanticscholar   +1 more source

Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations

open access: yesEuropean Journal of Epidemiology, 2016
Misinterpretation and abuse of statistical tests, confidence intervals, and statistical power have been decried for decades, yet remain rampant. A key problem is that there are no interpretations of these concepts that are at once simple, intuitive ...
S. Greenland   +6 more
semanticscholar   +1 more source

Longitudinal predictors of weapon involvement in middle adolescence: Evidence from the UK Millennium Cohort Study

open access: yesAggressive Behavior, Volume 49, Issue 1, Page 5-14, January 2023., 2023
Abstract This study uses longitudinal data from the UK Millennium Cohort Study (N = 13,277) to examine the childhood and early adolescence factors that predict weapon involvement in middle adolescence, which in this study is exemplified by having carried or used a weapon.
Aase Villadsen, Emla Fitzsimons
wiley   +1 more source

Significant results: statistical or clinical? [PDF]

open access: yesKorean Journal of Anesthesiology, 2016
The null hypothesis significance test method is popular in biological and medical research. Many researchers have used this method for their research without exact knowledge, though it has both merits and shortcomings. Readers will know its shortcomings,
Sangil Park
doaj   +1 more source

Spillover and crossover effects of exposure to work‐related aggression and adversities: A dyadic diary study

open access: yesAggressive Behavior, Volume 49, Issue 1, Page 85-95, January 2023., 2023
Abstract The past two decades have produced extensive evidence on the manifold and severe outcomes for victims of aggression exposure in the workplace. However, due to the dominating individual‐centered approach, most findings miss a social network perspective.
Alexander Herrmann   +2 more
wiley   +1 more source

Multivariate Confidence Intervals [PDF]

open access: yes, 2017
Confidence intervals are a popular way to visualize and analyze data distributions. Unlike p-values, they can convey information both about statistical significance as well as effect size. However, very little work exists on applying confidence intervals to multivariate data.
Korpela, Jussi   +4 more
openaire   +3 more sources

Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy

open access: yes, 1986
This is a review of bootstrap methods, concentrating on basic ideas and applications rather than theoretical considerations. It begins with an exposition of the bootstrap estimate of standard error for one-sample situations.
B. Efron, R. Tibshirani
semanticscholar   +1 more source

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