Statistical methods and software for risk assessment: applications to a neurophysiological data set

DOI10.1016/j.csda.2004.05.010zbMath1429.62555OpenAlexW2092411681MaRDI QIDQ957200

V. K. Kotti, V. G. Vassiliadis, George J. Karavasilis, Alexandros G. Rigas, Dimitrios S. Tsitsis

Publication date: 26 November 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2004.05.010

zbMATH Keywords

logistic regressionrisk assessmentmuscle spindlecross-product ratio

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Neural biology (92C20)

Related Items

The cross-product ratio in bivariate lognormal and gamma distributions, with an application to non-randomized trials ⋮ Favorability functions based on kernel density estimation for logistic models: a case study ⋮ Measuring the association of stationary point processes using spectral analysis techniques

Uses Software

• R
• S-PLUS
• SPSS
• MASS (R)
• GenStat
• LogXact

Cites Work

• Spectral analysis techniques of stationary point processes: Extensions and applications to neurophysiological problems
• Maximum likelihood analysis of spike trains of interacting nerve cells
• An introduction to the theory of point processes
• The identification of point process systems
• Identification of a neuroelectric system involving a single input and a single output.
• Statistical Analysis of Financial Data in S-Plus
• Measuring the Association of Point Processes: A Case History
• IDENTIFICATION OF A COMPLEX NEUROPHYSIOLOGICAL SYSTEM USING THE MAXIMUM LIKELIHOOD APPROACH
• SPECTRAL ANALYSIS OF A STATIONARY BIVARIATE POINT PROCESS WITH APPLICATIONS TO NEUROPHYSIOLOGICAL PROBLEMS
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