Results 21 to 30 of about 35,779,489 (286)

Assessment of P values for demographic data in randomized controlled trials [PDF]

open access: yesKorean Journal of Anesthesiology, 2019
In a large number of randomized controlled trials, researchers provide P values for demographic data, which are commonly reported in table 1 of the article for the purpose of emphasizing the lack of differences between or among groups.
Eun Jin Ahn   +7 more
doaj   +1 more source

Considering the fragility index in reporting trials on diverticular disease [PDF]

open access: yesExploration of Digestive Diseases
The changing management paradigm of acute complicated diverticulitis and the elective indications for surgery have evolved in the last decade based on reported evidence-based data.
Andrew P. Zbar, Nir Horesh
doaj   +1 more source

Confidence Interval

open access: yesPsychiatry and Behavioral Sciences, 2015
Confidence interval is a measure that provides to evaluate the difference between the means or proportions of compared groups is statistically significant.
Selim Kılıc
doaj   +1 more source

Interpreting P Values in 2023

open access: yesJournal of Patient-Centered Research and Reviews, 2023
If recent experiences shared among the biostatistician community are indicative of a sea change in research, then a most-welcome culture shift in dialogue surrounding the proper use and interpretation of the P value, which measures statistical ...
Jennifer K. Homa-Bonell
doaj   +1 more source

Fragility index of positive phase II and III randomised clinical trials of treatments for hepatocellular carcinoma (2002–2022)

open access: yesJHEP Reports, 2023
Background & Aims: The fragility index (FI), i.e., theminimum number of best survivors reassigned to the control group required to revert the statistically significant result of a clinical trial to non-significant, is a metric to evaluate the ...
Sabrina Sidali   +8 more
doaj   +1 more source

P-values for classification

open access: yesElectronic Journal of Statistics, 2008
Let $(X,Y)$ be a random variable consisting of an observed feature vector $X\in \mathcal{X}$ and an unobserved class label $Y\in \{1,2,...,L\}$ with unknown joint distribution. In addition, let $\mathcal{D}$ be a training data set consisting of $n$ completely observed independent copies of $(X,Y)$.
Dümbgen Lutz   +2 more
openaire   +5 more sources

A summary of Pearson correlation coefficients for RMSE and forest variables (†p-value < 0.05; ‡ p-value < 0.01; ⁂p-value <0.001).

open access: yes, 2023
A summary of Pearson correlation coefficients for RMSE and forest variables (†p-value p-value p-value
Krista Merry (731824)   +3 more
core   +1 more source

Study on the correlation between radioactive counting time and measurement uncertainty of ceramic materials

open access: yesJournal of Asian Ceramic Societies, 2022
This paper sketched the basic principles of ceramic materials radioactivity measurement and mathematical calculation formula of testing time. When the sample measurement conditions and the way of data analysis are constant, using sodium iodide gamma ...
Hong Wei   +7 more
doaj   +1 more source

P-value Terms for the Leukemia Dataset.

open access: yes, 2016
P-value Terms for the Leukemia Dataset.
Chun-Hou Zheng (283529)   +5 more
core   +1 more source

Efficacy of a proprietary combination of Tamarindus indica seeds and Curcuma longa rhizome extracts in osteoarthritis: a clinical investigation

open access: yesFood & Nutrition Research, 2023
Background: NXT15906F6 (TamaFlex™) is a proprietary blend containing standardized Tamarindus indica seeds and Curcuma longa rhizome extracts. Earlier, NXT15906F6 supplementation demonstrated reduced knee joint pain and improved musculoskeletal functions ...
Nandlal Prasad   +2 more
doaj   +1 more source

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