Scientific Hypothesis-Testing Strengthens Neuroscience Research

Progress in transthyretin fibrillogenesis research strengthens the amyloid hypothesis.

T amyloidoses are diseases of protein conformation, in which a particular soluble innocuous protein transforms and aggregates into an insoluble fibrillar structure that deposits in extracellular spaces of specific organs (reviewed in refs. 1–4). Organ dysfunction accompanies fibrillar deposition, and the amyloid hypothesis proposes a cause and effect relationship between deposition and dysfunct...

HYPOTHESIS TESTING FOR AN EXCHANGEABLE NORMAL DISTRIBUTION

Consider an exchangeable normal vector with parameters ????2, and ?. On the basis of a vector observation some tests about these parameters are found and their properties are discussed. A simulation study for these tests and a few nonparametric tests are presented. Some advantages and disadvantages of these tests are discussed and a few applications are given.

Developing developmental cognitive neuroscience: From agenda setting to hypothesis testing

In this issue of Developmental cognitive neuroscience Shulman nd colleagues (n.d.) and Nelson and colleagues (n.d.) present wo heuristic models of cognitive development. Shulman and coleagues review the current evidence in favor of dual systems (DS) odels, which suggests that enhanced risk taking in adolescents s the consequence of an imbalance between an early maturing otivational system invol...

LINEAR HYPOTHESIS TESTING USING DLR METRIC

Several practical problems of hypotheses testing can be under a general linear model analysis of variance which would be examined. In analysis of variance, when the response random variable Y , has linear relationship with several random variables X, another important model as analysis of covariance can be used. In this paper, assuming that Y is fuzzy and using DLR metric, a method for testing ...

On Scientific Research: The Role of Statistical Modeling and Hypothesis Testing