B. F. J. Manly was a statistician who wrote several influential books and papers on multivariate statistical methods, biostatistics, and methods for randomization tests. A randomization test is a type ...

Nonprobability samples and self-selected group memberships are frequent aspects of "people data" that analysts must navigate to infer the proper conclusions. The application of randomization tests or ...

The authors used a Monte Carlo simulation to examine how the violation of the exchangeability assumption affects empirical Type I error rates of the LMH randomization ...

Randomization tests can be thought of as another way to examine data, and do not restrictive assumptions about populations. As a very quick example, suppose that you have two groups of scores. One ...

In this section we consider an experiment with two treatment levels. The N units in the study are randomly assigned to the treatments so that n1 of the units are assigned treatment 1 and the other n2 ...

In some ways the randomization test on the means of two matched samples is even simpler than the corresponding test on independent samples. From the parametric t test on matched samples, you should ...

As a randomized variable in nonresponders and relapsed patients to assess its value in the choice of second-line therapy. At study entry, to ascertain whether the in vitro sensitivity to treatment ...

The paper analyzes effects of randomized response with respect to some binary dependent variable on the estimation of the probit model. This approach is used in interviews when asking sensitive ...

Ligand-based pharmacophore modeling was used to identify the chemical features responsible for inhibiting tubulin polymerization. A set of 26 training compounds was used to generate hypothetical ...