This article is a practical introduction to statistical analysis for students and researchers. We’ll walk you through the steps using two research examples. The first investigates a potential cause-and-effect relationship, while the second investigates a potential correlation between variables. Example:...
Statistical significance is important when assessing the results of statistical analysis, but you also need to look at the actual statistic values involved and decide whether they are practically significant, with meaningful real-world implications. And while we do want to have sample sizes large enou...
and there are too many possible safety endpoints to be able to control type I error while preserving power. Safety analysis tends to be somewhat ad hoc and exploratory. But with the large quantity of safety data acquired during clinical drug testing, safety data are rarely harvested to their ...
Statistical Data Analysis Statistical analyses and modeling often focus on “hypothesis testing” and “parameter estimation.” For example, in multiple regression, the parameters of a linear model are estimated that predict some outcome or response variable y as a linear function of the available pre...
Example of applications of multivariate statistical analysis in the pulp and paper industryIn this paper we discuss four practical examples amongst the many industrial applications we have performed over the years to illustrate the diverse applications of multivariate statistical analysis from modelling, to...
In this setting, the input into LISA is a group of real-valued 3D images defined on a voxel grid. Typically, they represent contrast maps obtained via a first-level GLM analysis. The output of LISA is a 3D image in which every voxel has a value in [0, 1] representing its FDR. FDR...
or ISO 8015. This paper proposes another point of view, considering the positioning of parts through contact points of their rigid deviation shapes under a defined assembly force and set-up. Rather than considering the positioning of a single part, here is proposed an approach of batch parts as...
A key advantage of an SPM analysis over scalar analyses of values such as minimum, maximum, or range, is that it enables development of targeted interventions. For example, a clinical professional may direct a patient to reduce the rotation of their trunk during prosthetic-side leg toe-off. ...
Grove summarizes Meehl’s analysis of why this example does not vindicate clinical judgment: First, the base rate of people breaking a leg is low, and so “broken leg cases” need not substantially decrease the accuracy of statistical predictions. Second, in the broken leg example, we have a...
Such approaches are used in many other scientific disciplines, but immunological studies on the whole still use simple statistical techniques for data analysis. Results The paper provides an overview of the range of statistical methods that can be used to answer different immunological study questions....