mnrfit command Search Results


mnrfit command  (MathWorks Inc)
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MathWorks Inc mnrfit command
Mnrfit Command, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab command mnrfit  (MathWorks Inc)
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MathWorks Inc matlab command mnrfit
Results of logistic regression analysis. A) Coefficients of the multinomial logistic regression model describing the probability of EAD development in the models of our population. B) Effects on P EAD induced by modulation of one model parameter at the time (G Na , G K,ACh , v NCX , G Kur and G Ks ). C) Statistical analysis on the values of the perturbations to these 5 parameters in the two sub-populations of AP models with or without EADs performed with <t>the</t> <t>MATLAB</t> command boxplot . The central red line indicates the median of each group (reported in ), while the blue box represents the central 50% of the data. The lower and upper boundaries of the central box are, respectively, at the 25th and 75th percentiles. The dotted vertical lines (called “whiskers”) maximally extend to 1.5 times the height (called “inter-quartile range”) of the central box. Individual values outside the range of the whiskers are considered outliers (shown here with red circles). The extremes of the lateral notches of the central box are determined as q 50 ±1.57(q 75 –q 25 )/sqrt(n), where q 25 , q 50 and q 75 are the 25th, 50th (i.e., the median) and 75th percentiles, respectively, and n is the number of observations in each group. These values (reported in ) mark the 95% confidence interval for the medians (i.e., if the notches from two boxplots do not overlap, one can assume that the medians are different with a significance level of 0.05).
Matlab Command Mnrfit, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/matlab command mnrfit/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab command mnrfit - by Bioz Stars, 2026-04
90/100 stars
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Results of logistic regression analysis. A) Coefficients of the multinomial logistic regression model describing the probability of EAD development in the models of our population. B) Effects on P EAD induced by modulation of one model parameter at the time (G Na , G K,ACh , v NCX , G Kur and G Ks ). C) Statistical analysis on the values of the perturbations to these 5 parameters in the two sub-populations of AP models with or without EADs performed with the MATLAB command boxplot . The central red line indicates the median of each group (reported in ), while the blue box represents the central 50% of the data. The lower and upper boundaries of the central box are, respectively, at the 25th and 75th percentiles. The dotted vertical lines (called “whiskers”) maximally extend to 1.5 times the height (called “inter-quartile range”) of the central box. Individual values outside the range of the whiskers are considered outliers (shown here with red circles). The extremes of the lateral notches of the central box are determined as q 50 ±1.57(q 75 –q 25 )/sqrt(n), where q 25 , q 50 and q 75 are the 25th, 50th (i.e., the median) and 75th percentiles, respectively, and n is the number of observations in each group. These values (reported in ) mark the 95% confidence interval for the medians (i.e., if the notches from two boxplots do not overlap, one can assume that the medians are different with a significance level of 0.05).

Journal: MethodsX

Article Title: Logistic regression analysis of populations of electrophysiological models to assess proarrythmic risk

doi: 10.1016/j.mex.2016.12.002

Figure Lengend Snippet: Results of logistic regression analysis. A) Coefficients of the multinomial logistic regression model describing the probability of EAD development in the models of our population. B) Effects on P EAD induced by modulation of one model parameter at the time (G Na , G K,ACh , v NCX , G Kur and G Ks ). C) Statistical analysis on the values of the perturbations to these 5 parameters in the two sub-populations of AP models with or without EADs performed with the MATLAB command boxplot . The central red line indicates the median of each group (reported in ), while the blue box represents the central 50% of the data. The lower and upper boundaries of the central box are, respectively, at the 25th and 75th percentiles. The dotted vertical lines (called “whiskers”) maximally extend to 1.5 times the height (called “inter-quartile range”) of the central box. Individual values outside the range of the whiskers are considered outliers (shown here with red circles). The extremes of the lateral notches of the central box are determined as q 50 ±1.57(q 75 –q 25 )/sqrt(n), where q 25 , q 50 and q 75 are the 25th, 50th (i.e., the median) and 75th percentiles, respectively, and n is the number of observations in each group. These values (reported in ) mark the 95% confidence interval for the medians (i.e., if the notches from two boxplots do not overlap, one can assume that the medians are different with a significance level of 0.05).

Article Snippet: We perform logistic regression using the MATLAB command mnrfit , which fits a nominal multinomial logistic regression model for the predictor matrix X and the output matrix Y ( ): B = mnrfit ( X , Y ) The matrix X is here derived from the matrix K containing the scale factors.

Techniques: