Implementing Automated Nonparametric Statistical Analysis on Functional Analysis Data: A Guide for Practitioners and Researchers

2021 ◽  
Author(s):  
Michael P. Kranak ◽  
Scott S. Hall
Keyword(s):  
Functional Analysis ◽  
Statistical Analysis ◽  
Analysis Data ◽  
Functional Analysis Data ◽  
Nonparametric Statistical

Interpreting functional analysis outcomes using automated nonparametric statistical analysis

2020 ◽  
Vol 53 (2) ◽  
pp. 1177-1191 ◽  
Author(s):  
Scott S. Hall ◽  
Joy S. Pollard ◽  
Katerina D. Monlux ◽  
Joseph M. Baker
Keyword(s):  
Functional Analysis ◽  
Statistical Analysis ◽  
Nonparametric Statistical

Using Real-Time Recording to Enhance the Analysis of Within-Session Functional Analysis Data

2001 ◽  
Vol 25 (1) ◽  
pp. 79-93 ◽  
Author(s):  
John T. Rapp ◽  
James E. Carr ◽  
Raymond G. Miltenberger ◽  
Claudia L. Dozier ◽  
Karen K. Kellum
Keyword(s):  
Functional Analysis ◽  
Real Time ◽  
Analysis Data ◽  
Functional Analysis Data

scholarly journals TOWARD THE DEVELOPMENT OF STRUCTURED CRITERIA FOR INTERPRETATION OF FUNCTIONAL ANALYSIS DATA

1997 ◽  
Vol 30 (2) ◽  
pp. 313-326 ◽  
Author(s):  
Louis P. Hagopian ◽  
Wayne W. Fisher ◽  
Rachel H. Thompson ◽  
Jamie Owen-DeSchryver ◽  
Brian A. Iwata ◽  
...  
Keyword(s):  
Functional Analysis ◽  
Analysis Data ◽  
Functional Analysis Data

Multivariate Statistical Analysis Regarding the Formulation of Oxicam-Based Pharmaceutical Hydrogels

2017 ◽  
Vol 68 (4) ◽  
pp. 726-731
Author(s):  
Lenuta Maria Suta ◽  
Anca Tudor ◽  
Colette Roxana Sandulovici ◽  
Lavinia Stelea ◽  
Daniel Hadaruga ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Pharmaceutical Formulations ◽  
Analysis Data ◽  
Multivariate Statistical ◽  
Predictive Variables ◽  
Rapid Release ◽  
Computational Data ◽  
Experimental Protocols ◽  
Formulation Factors

In this paper, it was analysed the influence of formulation factors over obtaining oxicam hydrogels, using the statistical analysis. Data analysis and predictive modeling by multivariate regression offers a large number of possible explanatory/predictive variables. Therefore, variable selection and dimension reduction is a major task for multivariate statistical analysis, especially for multivariate regressions. The statistical analysis and computational data processing of responses obtained from different pharmaceutical formulations, via different experimental protocols, lead to the optimization of the formulation process. It was found that the most suitable pharmaceutical formulations based on oxicams with the possibility of rapid release contained cyclodextrin, in particular 2-hydroxypropyl-b-cyclodextrin.

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