The statistical test o f the hypothesis o f no difference between the average bioavailabilities o f two drug formulations, usually supplemented by an assessment of what the power of the statistical test would have been i f the true averages had been inequivatent, continues to be used in the statistical analysis of bioavailability/bioequivalence studies. In the present article, this Power Approa...

BACKGROUND The tendency towards publication bias is greater for observational studies than for randomized clinical trials. Several statistical methods have been developed to test the publication bias. However, almost all existing methods exhibit rather low power or have inappropriate type I error rates. METHODS We propose a modified regression method, which used a smoothed variance to estimat...

The micompr R package implements a procedure for comparing multivariate samples associated with different groups. The procedure uses principal component analysis to convert multivariate observations into a set of linearly uncorrelated statistical measures, which are then compared using a number of statistical methods. This technique is independent of the distributional properties of samples and...

Sigmoid semilogarithmic functions with shape of Boltzmann equations, have become extremely popular to describe diverse biological situations. Part of the popularity is due to the easy availability of software which fits Boltzmann functions to data, without much knowledge of the fitting procedure or the statistical properties of the parameters derived from the procedure. The purpose of this pape...

I contrast two modes of error-elimination relevant to evaluating evidence in accounts that emphasize frequentist reliability. The contrast corresponds to that between the use of of a reliable inference procedure and the critical scrutiny of a procedure with regard to its reliability, in light of what is and is not known about the setting in which the procedure is used. I propose a notion of sec...

The aim of this paper is to present the main features of an integrated approach of the on-line identification and predictive control of uncertain dynamical systems. A nonparametric statistical procedure is considered for the functional estimation of the unknown process model, imbedded into a neuralbased predictive control procedure: a feedforward neural network with one hidden layer is used to ...

Algorithms for relational learning and proposi-tional learning face different statistical challenges. In contrast to propositional learners, rela-tional learners often make statistical inferences about data that exhibit linkage and autocorrela-tion. Recent work has shown that these characteristics of relational data can bias inferences made by relational learners. In this paper, we develop a no...

Statistical power is defined as the probability of correctly rejecting the null hypothesis. Power calculations may be useful in planning experiments. The objective of this technical note is to outline an applied method that estimates statistical power of a dairy nutrition experiment that employs a Latin square as the experimental design. Because the SAS MIXED procedure (PROC MIXED) is commonly ...

Statistical rituals largely eliminate statistical thinking in the social sciences. Rituals are indispensable for identification with social groups, but they should be the subject rather than the procedure of science. What I call the “null ritual” consists of three steps: (1) set up a statistical null hypothesis, but do not specify your own hypothesis nor any alternative hypothesis, (2) use the ...