Statistics

1810 Submissions

[5] viXra:1810.0236 [pdf] replaced on 2018-10-22 15:48:03

Epstein-Barr Virus is the Cause Rheumatoid Arthritis

Authors: Ilija Barukčić
Comments: Comments: 20 Pages. Published by: Romanian journal of rheumatology, 27 (4), (2018), 148-163. https://rjr.com.ro/

Aim: Many studies presented some evidence that EBV might play a role in the pathogenesis of rheumatoid arthritis. Still, there are conflicting reports concerning the existence of EBV in the synovial tissue of patients suffering from rheumatoid arthritis. This systematic review assesses the causal relationship between Epstein-Barr virus (EBV) and rheumatoid arthritis (RA) for gaining a better understanding of the pathogenesis of RA. Methods: A systematic review and meta-analysis is provided aimed to answer among other questions the following question. Is there a cause effect relationship between Epstein-Barr virus and rheumatoid arthritis? The method of the conditio sine qua non relationship was used to proof the hypothesis without Epstein-Barr virus no rheumatoid arthritis. In other words, if rheumatoid arthritis is present, then Epstein-Barr virus is present too. The mathematical formula of the causal relationship k was used to proof the hypothesis, whether there is a cause effect relationship between Epstein-Barr virus and rheumatoid arthritis. Significance was indicated by a p-value of less than 0.05. Results: The studies analysed were able to provide convincing evidence that Epstein-Barr virus is a necessary condition (a conditio sine qua non) of rheumatoid arthritis. Furthermore, the studies analysed provide impressive evidence of a cause-effect relationship between Epstein-Barr virus and rheumatoid arthritis. Conclusion: EBV infection of human synovial tissues is a condition sine qua non, a condition per quam and a conditio sine qua non and conditio per quam of rheumatoid arthritis. In other words, Epstein-Barr virus is the cause of rheumatoid arthritis.
Category: Statistics

[4] viXra:1810.0149 [pdf] submitted on 2018-10-09 08:44:17

Modeling Distributional Time Series by Transformations

Authors: Zhicheng Chen
Comments: 4 Pages.

Probability distributions play a very important role in many applications. This paper describes a modeling approach for distributional time series. Probability density functions (PDFs) are approximated by real-valued vectors via successively applying the log-quantile-density (LQD) transformation and functional principal component analysis (FPCA); state-space models (SSMs) for real-valued time series are then applied to model the evolution of PCA scores, corresponding results are mapped back to the PDF space by the inverse LQD transformation.
Category: Statistics

[3] viXra:1810.0143 [pdf] submitted on 2018-10-09 12:37:38

SITUATIONAL UNDERLYING VALUE (SUV) - "Proof of Principle" for a Statistic to Measure Clutch Performance by Individuals in Major League Baseball, Professional Football (NFL) and NCAA Men's College Basketball

Authors: Raymond H Gallucci
Comments: 126 Pages. Combines previously separate vixra entries 1809.0411 + 0410 + 0409 into one document.

In Situational Underlying Value (SUV) for Baseball, Football and Basketball: A Statistic to Measure Individual Performance in Team Sports, an all-encompassing, overall statistic to measure performance by individual players in the team sports of major league baseball, professional football (NFL), and NCAA men's college basketball was developed. This work supplements and extends the development and initial demonstrations of the use of the SUV statistic for these three team sports by tracking the performance of three specific teams in these three sports over a significant portion of their most recent seasons: (1) for major league baseball, 54 of the 162 games played by the Seattle Mariners in 2017; (2) for professional football, five of the 16 games played by the Seattle Seahawks in 2017; and (3) for NCAA Men's College Basketball, the five games played by the Loyola of Chicago Ramblers in the 2018 NCAA Division I Men's Basketball Tournament. The SUV statistics for the players who participated in these games are tracked and accumulated for comparison among themselves and, for those who participated in a significant portion of these games, further compared against the traditional statistics for each team over the entire season (or, in the case of the Loyola of Chicago Ramblers, the complete five games of the Basketball Tournament). The goal is to examine the efficacy of this one overarching statistic, the SUV, in representing player performance "in the clutch" vs. more subjective interpretation of the myriad of different "traditional" statistics currently used. Anomalies between the SUV and traditional statistics results are examined and explained, to the extent practicable given the scope of the SUV analysis (partial seasons). Whether or not this effort proves successful is left to the reader's conclusion based on t he results and comparisons performed.
Category: Statistics

[2] viXra:1810.0137 [pdf] submitted on 2018-10-10 01:45:17

A Third Note on Bell's Theorem

Authors: Han Geurdes
Comments: 3 Pages.

In the paper it is demonstrated that Bell's formula for {+1,-1} measurement functions is inconsistent.
Category: Statistics

[1] viXra:1810.0065 [pdf] submitted on 2018-10-06 03:13:03

Epstein Barr Virus and Atrial Fibrillation – a Causal Link?

Authors: Ilija Barukčić
Comments: 17 pages. Copyright © 2018 by Ilija Barukčić, Jever, Germany. All rights reserved. Published by Modern Health Science, 2019; 2(1): 1-15. https://doi.org/10.30560/mhs.v2n1p1

Objective: Atrial fibrillation (AF) is very frequent and clinically significant arrhythmia. The incidence of atrial fibrillation is continuously rising. Meanwhile several risk factors for AF development have been identified but the etiology is not cleared. Methods: A systematic review and re-analysis of studies which investigated the relationship between AF and some risk factors was conducted. The method of the conditio sine qua non relationship, the method of the conditio per quam relationship, the method of the exclusion relationship and the mathematical formula of the causal relationship k were used to proof the hypothesis. Significance was indicated by a p-value of less than 0.05. Results: The studies analysed were able to provide direct and indirect evidence that AF is caused by a process of inflammation while a direct identification of the factor causing AF was not possible. Still, it appears to be very probable that Epstein-Barr virus (EBV) is the cause of AF. Conclusion: Atrial fibrillation (AF) is caused by an inflammatory process. Keywords: Epstein-Barr virus, atrial fibrillation, causal relationship
Category: Statistics