Results 31 to 40 of about 7,216,857 (259)

How to calculate statistical power for vegetation research [PDF]

open access: yesComputational Ecology and Software, 2020
Calculation of statistical power is important for proper interpretation of research results. Statistical Power depends on the selected significance level, sample size and effect size. Selection of an appropriate formula for calculating power of a test is
Mohammad Mousaei Sanjerehei
doaj  

Impacts on study design when implementing digital measures in Parkinson's disease-modifying therapy trials

open access: yesFrontiers in Digital Health
IntroductionParkinson's Disease affects over 8.5 million people and there are currently no medications approved to treat underlying disease. Clinical trials for disease modifying therapies (DMT) are hampered by a lack of sufficiently sensitive measures ...
Jennie S. Lavine   +5 more
doaj   +1 more source

An effective method for measuring text legibility in XR devices reveals clear differences between three devices

open access: yesFrontiers in Virtual Reality, 2023
Reading is a crucial aspect of the extended reality (XR) experience across various professional and recreational contexts. Legibility, which is defined as the ease with which a character can be recognized, is an essential determinant of readability.
Markku Kilpeläinen, Jukka Häkkinen
doaj   +1 more source

Deep statistical solvers - Trained models

open access: yes, 2020
Contains a set of 9 trained models of Deep statistical solvers There are 3 models for the linear systems experiment, 3 models for the AC power flow 14 nodes and 3 models for the AC power flow 118 ...
Statistical Solvers
core   +1 more source

Giving less power to statistical power

open access: yesLaboratory Animals
Researchers often need to justify their choice of sample size, particularly in fields such as animal and clinical research, where there are obvious ethical concerns about relying on too many or too few study subjects. The common approach is still to depend on statistical power calculations, typically carried out using simple ...
Megan Higgs, Valentin Amrhein
openaire   +3 more sources

Retrospective power analysis [PDF]

open access: yes, 2009
The pdf contains the article; the ASCII file contains SAS code to calculate power and confidence limits for simple linear regression, as detailed in the article appendix.Many papers have appeared in the recent biological literature encouraging us to ...
Thomas, Len
core   +1 more source

A Review of Sample Size Determination for Common Experi-mental Designs: Further Simplified Equations [PDF]

open access: yesمجلة جامعة النجاح للأبحاث العلوم الطبيعية
Determination of the required sample size is an important step in the planning of any research study. A large number of commercial and online resources are readily available for calculation of sample size required for various research designs.
Jihad M. Abdallah
doaj   +1 more source

Safety and Effectiveness of a High‐Dose, Tailored Tissue Plasminogen Activator Therapy Protocol: A Joint Pediatric Hematology and Cardiac ICU Quality Improvement Initiative Analysis

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric thromboembolism is increasingly encountered in critical care. Systemic thrombolysis with tissue plasminogen activator (tPA) facilitates vessel or valve patency, yet pediatric‐specific protocols remain undefined, and safety concerns persist. Objective To evaluate the efficacy and safety of a tailored, prolonged systemic tPA
Eran Shostak   +5 more
wiley   +1 more source

Improved system operations with high penetration of wind power : a dialog between academia and industry - Ireland [PDF]

open access: yes, 2010
Panel session submission for the IEEE Power and Energy Society (PES) 2010 General Meeting, July 25-29 2010, Minneapolis, MinnesotaThis is a submission to a panel session at the 2010 IEEE PES General Meeting. It discusses effective collaboration between
Power, Michael   +4 more
core   +1 more source

Normrank Correlations for Testing Associations and for Use in Latent Variable Models

open access: yesOpen Education Studies
Pearson’s correlation is widely used to test for an association between two variables and also forms the basis of several multivariate statistical procedures including many latent variable models. Spearman’s ρ\rho is a popular alternative.
Wright Daniel B.
doaj   +1 more source

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