PCSTAT: statistical analysis of paired-comparison data

Analysis of Ordinal Paired Comparison Data

Statistical Comparison of Eight Alternative Methods for the Analysis of Paired Sample Data with Applications

This paper presents and statistically compares eight alternative methods that could possibly be used in the analysis of matched or paired sample data, including situations in which the data being analyzed satisfy the usual assumptions of normality and continuity necessary for the use of parametric tests as well as when the data are numeric and non-numeric measurements on as low as the ordinal s...

Statistical Analysis Methods for the fMRI Data

Functional magnetic resonance imaging (fMRI) is a safe and non-invasive way to assess brain functions by using signal changes associated with brain activity. The technique has become a ubiquitous tool in basic, clinical and cognitive neuroscience. This method can measure little metabolism changes that occur in active part of the brain. We process the fMRI data to be able to find the parts of br...

Modeling Paired Ordinal Response Data

 About 25 years ago, McCullagh proposed a method for modeling univariate ordinal responses. After publishing this paper, other statisticians gradually extended his method, such that we are now able to use more complicated but efficient methods to analyze correlated multivariate ordinal data, and model the relationship between these responses and host of covariates. In this paper, we aim to...

Concepts and Foundations of Data Analysis and Statistical Information in Modern Statistical System

Abstract. One of the most important fundamental principles of official statistics, is the principle of Relevance, Impartiality, and professional ethics. Trust and ensure of the stakeholders and users of official statistics to the professional independency of National Statistical Offices (NSO) and the National Statistical System (NSS), as a social capital, is one of the most important factors fo...