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Breadth versus depth: balancing variables, sample size, and quality in Chinese cohort studies. [PDF]
BMJLin Y, Chen L, Huang J, Li W.
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Sample Size for Enriched Biomarker Designs With Measurement Error for Time-to-Event Outcomes. [PDF]
Pharm StatGuo S, Halabi S, Liu A.
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Predicting Remission in Schizophrenia Using Machine Learning-Assessing the Impact of Sample Size and Predictor Overinclusion. [PDF]
Acta Psychiatr ScandHieronymus F +6 more
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Sample size estimations for MRI-monitored trials of MS comparing new vs standard treatments
, 2001 ROVARIS M +9 more
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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
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Archives of Pediatrics & Adolescent Medicine, 1988
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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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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2013 IEEE International Conference on Image Processing, 2013
This paper proposes a general method for size optimization in dense sampling to obtain a better representation of an image. Our method can be utilized to improve the performance of image classification and other tasks. We discuss the spatial consistency in global-scope restrained descriptors, by analyzing the appropriate sampling size. We apply the low
Xue Li +3 more
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This paper proposes a general method for size optimization in dense sampling to obtain a better representation of an image. Our method can be utilized to improve the performance of image classification and other tasks. We discuss the spatial consistency in global-scope restrained descriptors, by analyzing the appropriate sampling size. We apply the low
Xue Li +3 more
openaire +1 more source
Annals of Internal Medicine, 1983
Excerpt To the editor: Young, Bresnitz, and Strom (1) present two nomograms for sample size determination when the response variable is either dichotomous or approximately normal.
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Excerpt To the editor: Young, Bresnitz, and Strom (1) present two nomograms for sample size determination when the response variable is either dichotomous or approximately normal.
openaire +2 more sources