Results 11 to 20 of about 3,328,774 (379)
Confidence intervals for policy evaluation in adaptive experiments [PDF]
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]
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
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Causal inference by using invariant prediction: identification and confidence intervals [PDF]
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
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Genome sequence-based species delimitation with confidence intervals and improved distance functions
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
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Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations
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
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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]
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
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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]
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
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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
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