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On exact Type I and Type II errors of Cochran's test
Statistics & Probability Letters, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lou, W. Y. Wendy, Fu, James C.
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Abstract Details on the concepts of Type I and Type II error are provided with a worked example. Their relationship to the power of a study is explained.
Phil Ambery +2 more
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Phil Ambery +2 more
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Type I and Type II Error in Multiple Comparisons
The Journal of Psychology, 1996Abstract The overwhelming number of different types of multiple-comparison procedures has been one of the main sources of confusion in the use of statistical analyses for many years. One method of approaching the problem is to compare the various procedures in terms of their emphases on Type I and Type II errors.
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Pitfalls of statistical hypothesis testing: type I and type II errors
BMJ, 2014Researchers investigated the effects of a multidimensional lifestyle intervention on aerobic fitness and adiposity in predominantly migrant preschool children. A cluster randomised controlled trial study design was used. Intervention included a physical activity programme, plus lessons on nutrition, media use (use of television and computers), and ...
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Balancing Type I and Type II error concerns in fMRI through compartmentalized analysis
Cognitive Neuroscience, 2017We seek to balance the need to minimize false positives with the need to maximize power. We propose a compartmentalized series of analyses that a priori selects regions of voxels that have different degrees of predicted involvement. Alpha thresholds are allocated based on the strength of expected theoretical relationships.
William A, Cunningham, Timothy R, Koscik
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TYPE I ERRORS AND THEIR DECISION BASIS
British Journal of Mathematical and Statistical Psychology, 1967It is proposed that an error‐rate 1 should be set for each statistical decision to be made. Methods for testing statistical hypotheses in the context of analysis of variance are reviewed and evaluated from the decision‐based error‐rate viewpoint. If decisions are the proper bases for the choice of an error‐rate, the available methods for testing any or
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The Precautionary Principle: Scientific Uncertainty and Type I and Type II Errors
Foundations of Science, 1997We provide examples of the extent and nature of environmental and human health problems and show why in the United States prevailing scientific and legal burden of proof requirements usually cannot be met because of the pervasiveness of scientific uncertainty.
John Lemons +2 more
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Type I, Type II, and other types of errors in pattern analysis.
Psychological Assessment, 1993Krauskopf(1991) is to be commended for calling attention to the fact that pattern analysis is subject not only to Type I errors but also to Type II errors, which were not even mentioned by Silverstein (1982). There are, however, a number of points on which the 2 authors still differ.
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Understanding type I and type
AbstractThe results of a clinical trial may be subject to random error because of the variability in the measured data, which arises purely by chance. There are two types of random error – type I error and type II error. In this study, type I and type II errors are explained, and the important concepts of statistical power and sample size estimation ...
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Food Risks and Type I & II Errors
2011The global food supply network is becoming increasing vulnerable to food safety and food de-fense risks due to failures in prevention and control measures. We develop the idea of control oriented supply chain security management in the context of global food supply networks.
Nganje, William E. +3 more
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