Lines represent the best linear fits obtained from linear regression. P values were estimated by testing the null hypothesis of zero intercepts using an F test. P-adj, adjusted P value. Full size image In addition to separating genes by temporal dynamics, the coexpression networks also ...
value still has the same interpretation as it did for t statistics: it is theprobability of observinga value of F at least as large as we did, given that the null hypothesis istrue. A small p-value is evidence against H0.4.1.5 The F Statistic for Overall Significance of a Regression...
The formulation of logistic regression in terms of log odds is the fundamental reason why logistic regression coefficients aren't interpretable. As a reminder, the logistic regression model specifies that you have n independent events, each of which occurs with some probability p, (a different p f...
Extensive sampling of neural activity during rich cognitive phenomena is critical for robust understanding of brain function. Here we present the Natural Scenes Dataset (NSD), in which high-resolution functional magnetic resonance imaging responses to te
The procedure computes a conditional-predictive p-value by splitting the data set into two, obtaining a predictive distribution for one piece given the other, and using the observed predictive ordinate to generate a p-value. The procedure has a simple interpretation, requires fewer modeling ...
Analysis of sinusoidal noisy leaky integrate-and-fire models and comparison with experimental data are important to understand the neural code and neural synchronization and rhythms. In this paper, we propose two methods to estimate input parameters usin
Interpretation of 2 A 2 value is the critical point on the x-axis under a 2 distribution curve. 2 varies from 0 to infinite. Because 2 value is determined by the discrepancy between the observed and expected frequencies, a small 2 indicates a small discrepancy between the dat...
lose their probabilistic interpretation and their one-to-one correspondence, thus both \(\alpha\) and \(\beta\) need to be set. 3 Experiments We conducted experiments to investigate four questions: Q1 Does ct-SNE work as expected in finding complementary structure? Q2 How should the parameter...
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The null hypothesis most commonly tested when carrying out an independent-sample t-test is that there is no mean difference between two groups in the population. The p-value calculated as part of NHST is the probability of finding a result as extreme or more extreme than the result in your...