Results 211 to 220 of about 890,957 (263)
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1995
No single method can be applied to all the activities that are of interest to psychologists; for practical and ethical reasons, a variety of methods must be used.
Diana Dwyer, Jane Scampion
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No single method can be applied to all the activities that are of interest to psychologists; for practical and ethical reasons, a variety of methods must be used.
Diana Dwyer, Jane Scampion
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Statistical methodologies in psychopharmacology: a review
Human Psychopharmacology: Clinical and Experimental, 2006AbstractThere has been a greatly increased interest in statistical methods in the psychiatric research and its applications over the past few decades, in parallel with advances in computers and statistical software. This review aims to describe the main topics related to statistical methods in psychopharmacology, namely nature of statistics in medicine,
Nieminen, Pentti +3 more
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Teaching Statistical Consulting Before Statistical Methodology
Australian & New Zealand Journal of Statistics, 2003AbstractThis paper outlines and discusses the advantages of an ‘Introduction to Statistical Consulting’ course (ISC) that exposes students to statistical consulting early in their studies. The course is intended for students before, or while, they study their units in statistical techniques, and assumes only a first‐year introductory statistics unit ...
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2014
Revista da Sociedade Portuguesa de Medicina Física e de Reabilitação, v. 25, n.
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Revista da Sociedade Portuguesa de Medicina Física e de Reabilitação, v. 25, n.
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Sequential clustering by statistical methodology
Pattern Recognition Letters, 2005To overcome the limitation of requiring the cluster threshold with the parametric approach, this paper presents a clustering constraint which first considers an estimate of the global distribution. The clustering process moves from local clusters identifying the data globally to larger clusters with a specified density function.
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Statistical Methodology for Industrial Problems
Technometrics, 2001The 10 articles in this issue develop statistical methodology that was developed in response to real problems that arose in industry. These articles demonstrate increasing needs for methods that can handle data with a variety of attributes, such as multivariate, binary (pass/fail), categorical, correlated, incomplete, or non-Gaussian.
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Statistical and Methodological Considerations for Vision Screening
Optometry and Vision Science, 1976ABSTRACT The statistical measures and definitions currently in use for screening programs are discussed. Sensitivity, specificity, false negative, and false positive rates are defined and illustrated. The positive and negative predictive values and the over‐ and underrefferal rates are also discussed, and an example of these measures ...
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