Longitudinal Healing and Amputation Trajectories in Diabetic Foot Ulcers: Predictive Power of Wound Area and Duration and Sample-Size Implications From the Diabetic Foot Consortium. [PDF]
Xu C +14 more
europepmc +1 more source
Accuracy in parameter estimation and simulation approaches for sample-size planning accounting for item effects. [PDF]
Buchanan EM +24 more
europepmc +1 more source
Sample size estimations for MRI-monitored trials of MS comparing new vs standard treatments
ROVARIS M +9 more
core +1 more source
A systematic review of sample size determination in Bayesian randomized clinical trials: full Bayesian methods are rarely used. [PDF]
Marks Y +9 more
europepmc +1 more source
Estimation of the sample size to determine gas flux in finishing steers under confined conditions using alternative statistical approaches. [PDF]
Vargas JJ +10 more
europepmc +1 more source
Predicting VNN resistance in European sea bass using machine learning on high dimensional low sample size data. [PDF]
Faldani G +7 more
europepmc +1 more source
At what sample size do correlations stabilize? [PDF]
Sample correlations converge to the population value with increasing sample size, but the estimates are often inaccurate in small samples. In this report we use Monte-Carlo simulations to determine the critical sample size from which on the magnitude of ...
Marco Perugini, Felix Schönbrodt
exaly +2 more sources
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Nick Martin and the Genetics of Depression: Sample Size, Sample Size, Sample Size
Twin Research and Human Genetics, 2020AbstractNick Martin is a pioneer in recognizing the need for large sample size to study the complex, heterogeneous and polygenic disorders of common mental disorders. In the predigital era, questionnaires were mailed to thousands of twin pairs around Australia. Always quick to adopt new technology, Nick’s studies progressed to phone interviews and then
Byrne, Enda M. +5 more
openaire +6 more sources
Before undertaking a research comparison, investigators may wish to estimate the sample sizes needed to assure that the research is feasible and is worth the effort and expense. Such calculations require several decisions by the researchers: (1) the acceptable level of the type I error (P value), (2) the desired power of the test, (3) the difference ...
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