Results 291 to 300 of about 13,979,009 (326)
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Statistics in Medicine, 1994
AbstractThe data with which Student illustrated the application of his famous distribution are examined from a number of aspects. Central to the discussion is the within‐patient clinical trial at Kalamazoo whose results were published by Cushny and Peebles and misquoted by Student and Fisher. This trial is discussed from historical, pharmacological and
S, Senn, W, Richardson
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AbstractThe data with which Student illustrated the application of his famous distribution are examined from a number of aspects. Central to the discussion is the within‐patient clinical trial at Kalamazoo whose results were published by Cushny and Peebles and misquoted by Student and Fisher. This trial is discussed from historical, pharmacological and
S, Senn, W, Richardson
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Is There Significance beyond the T-Test?
Drug Intelligence & Clinical Pharmacy, 1988Choosing the most appropriate statistical test may be routine for statisticians, but not for clinicians. The t-test, a parametric statistical test, may be used inappropriately. This commentary describes the assumptions of and alternatives to the t-test.
E G, Boyce, J M, Nappi
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Hypothesis-testing and t-tests
2002This module covers hypothesis testing using t-tests. Modules 1–3 have covered the preliminary stages in data entry and analysis. Module 2 has provided examples of data exploration and description. Exploring and describing the data using descriptive statistics (means, medians, frequency counts, etc.) and charts provides us with the opportunity to become
Robert L. Miller +4 more
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A Generalization of the Paired t-Test
Applied Statistics, 1982The analysis of paired data with a variable number of readings per pairing is discussed. The standard t‐test based on paired means is not valid if there is within‐pairing variability. A generalized paired t‐test is developed and a numerical example is given.
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Biometrika, 1980
SUMMARY Sequential trimmed t tests are proposed using the restricted scheme and wedge scheme. The formulations of these plans are given and their performances are compared with the usual restricted and wedge t tests under normality and long-tailed distributions. 1.
Lim, T. K., Fung, Karen Yuen
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SUMMARY Sequential trimmed t tests are proposed using the restricted scheme and wedge scheme. The formulations of these plans are given and their performances are compared with the usual restricted and wedge t tests under normality and long-tailed distributions. 1.
Lim, T. K., Fung, Karen Yuen
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Journal of Clinical Psychology, 1948
The H-T-P (freehand drawing of House, Tree, and Person) is a technique designed to aid the clinician in obtaining information concerning the sensitivity, maturity, and integration of a subject's personality, and the interaction of that personality with its environment (both specific and general).
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The H-T-P (freehand drawing of House, Tree, and Person) is a technique designed to aid the clinician in obtaining information concerning the sensitivity, maturity, and integration of a subject's personality, and the interaction of that personality with its environment (both specific and general).
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Biometrika, 1962
Schneiderman & Armitage (1962) described a family of sequential procedures, called 'wedge plans', which could be used for testing the mean ,.t of a normal population with known variance CJ2. For tests of a null hypothesis Ho (that ,.t = 0) against two alternatives H1 (that It = ,t1) and H_1 (that It = -,tl), the boundaries favouring H1 and H_1 (i.e ...
Schneiderman, M. A., Armitage, P.
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Schneiderman & Armitage (1962) described a family of sequential procedures, called 'wedge plans', which could be used for testing the mean ,.t of a normal population with known variance CJ2. For tests of a null hypothesis Ho (that ,.t = 0) against two alternatives H1 (that It = ,t1) and H_1 (that It = -,tl), the boundaries favouring H1 and H_1 (i.e ...
Schneiderman, M. A., Armitage, P.
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1992
Gegenstand von Signifikanztests sind sogenannte Nullhypothesen H 0, d.h. Annahmen uber die Verteilung von Grundgesamtheiten, uber deren Ablehnung oder Nichtablehnung zugunsten einer Alternativhypothese zu entscheiden ist. Die Wahrscheinlichkeit dafur, eine richtige Hypothese abzulehnen (Fehler 1. Art), heist Signifikanzniveau.
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Gegenstand von Signifikanztests sind sogenannte Nullhypothesen H 0, d.h. Annahmen uber die Verteilung von Grundgesamtheiten, uber deren Ablehnung oder Nichtablehnung zugunsten einer Alternativhypothese zu entscheiden ist. Die Wahrscheinlichkeit dafur, eine richtige Hypothese abzulehnen (Fehler 1. Art), heist Signifikanzniveau.
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The Bayesian t-Test and Beyond
2009In this chapter we will explore Bayesian alternatives to the t-test. We saw in Chapter 1 how t-test can be used to test whether the expected outcomes of the two groups are equal or not. In Chapter 3 we saw how to make inferences from a Bayesian perspective in principle.
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2000
Chapters 1 through to 14 constitute the general background information that is needed for critical appraisal. In this third part of the book we concentrate on specific statistical techniques that are commonly used in published articles, in an attempt to provide the reader with a guide to systematic critical appraisals that is as complete as possible.
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Chapters 1 through to 14 constitute the general background information that is needed for critical appraisal. In this third part of the book we concentrate on specific statistical techniques that are commonly used in published articles, in an attempt to provide the reader with a guide to systematic critical appraisals that is as complete as possible.
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