BACKGROUND The objective of this work was the study of analogical reasoning from the perspective of the equivalence-equivalence phenomenon. METHOD The variables studied consisted of the age of the participants and the educational level of the parents, in relation to performance on a reasoning task. The task utilized a sample size of 64 participants and an instrument based on conditional discr...

The scientific community's reliance on active-controlled trials is steadily increasing, as widespread agreement emerges concerning the role of these trials as viable alternatives to placebo trials. These trials present substantial challenges with regard to design and interpretation as their complexity increases, and the potential need for larger sample sizes impacts the cost and time variables ...

Noncompliance with study medications is an important issue in the design of endpoint clinical trials. Including noncompliant patient data in an intention-to-treat analysis could seriously decrease study power. Standard methods for calculating sample size account for noncompliance, but all assume that noncompliance is noninformative, i.e., that the risk of discontinuation is independent of the r...

Mediation models are widely used, and there are many tests of the mediated effect. One of the most common questions that researchers have when planning mediation studies is, "How many subjects do I need to achieve adequate power when testing for mediation?" This article presents the necessary sample sizes for six of the most common and the most recommended tests of mediation for various combina...

We obtain a tight distribution-specific characterization of the sample complexity of large-margin classification with L2 regularization: We introduce the γ-adapted-dimension, which is a simple function of the spectrum of a distribution’s covariance matrix, and show distribution-specific upper and lower bounds on the sample complexity, both governed by the γ-adapted-dimension of the source distr...

Our think tank tasked by the Dutch Health Council, consisting of Radboud University Nijmegen Honours Academy students with various backgrounds, investigated the implications of Deep Brain Stimulation (DBS) for psychiatric patients. During this investigation, a number of methodological, ethical and societal difficulties were identified. We consider these difficulties to be a reflection of a stil...

Utilizing a multicenter approach in observational clinical research allows for improved generalizability of the results, a larger sample size, and, consequently, improved efficiency. This paper highlights important issues with regard to the organization of multicenter observational studies in orthopaedic research. Specifically, we emphasize the development of trial committees, stress the import...

This note investigates the adequacy of the finite sample approximation provided the Functional Central Limit Theorem when the errors are allowed to be dependent. We compare the distribution of the scaled partial sums of some data with the distribution of the Wiener process to which it converges. Our setup is, on purpose, very simple in that it considers data generated from an ARMA(1,1) process....

RANSAC (Random Sample Consensus) is a popular and effective technique for estimating model parameters in the presence of outliers. Efficient algorithms are necessary for both frame-rate vision tasks and offline tasks with difficult data. We present a deterministic scheme for selecting samples to generate hypotheses, applied to data from feature matching. This method combines matching scores, am...