Results 211 to 220 of about 4,797,534 (248)
Some of the next articles are maybe not open access.
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
openaire +2 more sources
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
openaire +2 more sources
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
openaire +2 more sources
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.
openaire +2 more sources
2022
This chapter explains the concept of multivariate t-tests. In comparison to univariate tests, the advantages of multivariate t-tests include greater statistical power for detecting an effect and the ability to conduct a single (omnibus) test for each variable.
openaire +1 more source
This chapter explains the concept of multivariate t-tests. In comparison to univariate tests, the advantages of multivariate t-tests include greater statistical power for detecting an effect and the ability to conduct a single (omnibus) test for each variable.
openaire +1 more source
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.
openaire +2 more sources
2011
Includes contributions by distinguished statisticians and educators from around the world Offers quick, comprehensive and highly accessible information on statistical terms, methods and applications Stimulates interest in statistics education in both developed and developing countries The goal of this book is multidimensional: a) to help reviving ...
Kalpić, Damir +2 more
openaire +2 more sources
Includes contributions by distinguished statisticians and educators from around the world Offers quick, comprehensive and highly accessible information on statistical terms, methods and applications Stimulates interest in statistics education in both developed and developing countries The goal of this book is multidimensional: a) to help reviving ...
Kalpić, Damir +2 more
openaire +2 more sources
Journal of Visual Impairment & Blindness, 2017
In the last Statistical Sidebar, "Distribution of Scores Around the Mean and the Purpose of z-scores," I explained how data might be distributed around a mean. In this edition, I will discuss how the mean itself forms the central piece of some fundamental statistical tests.
openaire +1 more source
In the last Statistical Sidebar, "Distribution of Scores Around the Mean and the Purpose of z-scores," I explained how data might be distributed around a mean. In this edition, I will discuss how the mean itself forms the central piece of some fundamental statistical tests.
openaire +1 more source
2011
The t-test can be used to test the hypothesis that two group means are not different (Chap. 3 ). When the experimental design involves multiple groups, and, thus, multiple tests, we increase our chance of finding a difference. This is, simply, due to the play of chance rather than a real effect.
Ton J. Cleophas, Aeilko H. Zwinderman
openaire +1 more source
The t-test can be used to test the hypothesis that two group means are not different (Chap. 3 ). When the experimental design involves multiple groups, and, thus, multiple tests, we increase our chance of finding a difference. This is, simply, due to the play of chance rather than a real effect.
Ton J. Cleophas, Aeilko H. Zwinderman
openaire +1 more source
Physical Therapy, 1991
To the Editor: In their May 1991 article on the first-year results of the Association's 3-year study of physical therapy practices ( Phys Ther . 1991;71:366–381), Jette and Davis urged that caution be used in interpreting statistical significance from the multiple t tests they reported, “because at least 1 of every 20 tests undertaken will achieve ...
openaire +1 more source
To the Editor: In their May 1991 article on the first-year results of the Association's 3-year study of physical therapy practices ( Phys Ther . 1991;71:366–381), Jette and Davis urged that caution be used in interpreting statistical significance from the multiple t tests they reported, “because at least 1 of every 20 tests undertaken will achieve ...
openaire +1 more source