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chi-square test function  (CH Instruments)

 
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    CH Instruments chi-square test function
    Chi Square Test Function, supplied by CH Instruments, 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/product/chi-square+function/chi+square+function/pmc12204608-82-6-6
    Average 90 stars, based on 1 article reviews
    chi-square test function - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: Influence of colony and hive attributes, landscape, and seasonality on occurrence of large hive beetles (Coleoptera: Scarabaeidae) in Taita Taveta County, Kenya
    Article Snippet: Model significance was evaluated using the Chi-square test function, followed by Tukey’s pairwise comparisons to identify differences in the total number of LHBs among the factors tested within each predictor variable, using the “emmeans” package ( ).

    Article Title: Efficient Removal of Cu(II) from Wastewater Using Chitosan Derived from Shrimp Shells: A Kinetic, Thermodynamic, Optimization, and Modelling Study
    Article Snippet: The nonlinear model was utilized to apply a pseudo-first-order and pseudo-secondorder treatment, and the distribution of errors in predicting model parameters was assessed using the chi-squared function (χ2).

    Article Title: Genomic Patterns are Associated with Different Sequelae of Patients with Long‐Term COVID‐19
    Article Snippet: In clinical information research, to determine the association between sex, age, and other clinical information, a contingency table test was performed by using the chi‐square test function.

    Article Title: Genomic Patterns are Associated with Different Sequelae of Patients with Long-Term COVID-19.
    Article Snippet: In the post-large era, various COVID-19 sequelae are getting more and more attention to health problems.. Although the mortality rate of the COVID-19 infection is now declining, it is often accompanied by new clinical sequelae with different symptoms such as fatigue after infection, loss of smell.. The degree of age, gender, virus infection seems to be weakly correlated with clinical symptoms.

    Article Title: Significance of a quadratically varying deceleration parameter in scalar field-dominated model and cosmic acceleration
    Article Snippet: In this study, we explore the enigma of late-time cosmic acceleration in the framework of a general scalar ̄eld playing the role of dark energy.. Our investigation yields an exact solution to Einstein's ̄eld equations, achieved through a parametrization of the deceleration parameter qðaÞ in quadratic form in the homogeneous and isotropic background geometry represented by Friedmann{Lemaître{Robertson{Walker (FLRW) spacetime.. This parametrization unveils a seamless transition from a decelerated to an accelerated phase in the cosmic evolution.

    Article Title: Exploring the deceleration parameter in f(T) gravity: A comprehensive analysis using parametrization techniques and observational data
    Article Snippet: International Journal of Geometric Methods in Modern Physics Vol.. 21, No. 9 (2024) 2450166 (34 pages) c© World Scientific Publishing Company DOI: 10.1142/S0219887824501664 Exploring the deceleration parameter in f(T ) gravity:

    Article Title: Anisotropic f(Q) gravity model with bulk viscosity
    Article Snippet: The mean values of the model parameters H0, , n, 0 and 1 are calculated using the chi-square function as follows: 2HðH0; ;n; 0; 1Þ 1⁄4 X31 k1⁄41 1⁄2HthðH0; ;n; 0; 1; zkÞ HobsðzkÞ 2 2HðzkÞ ; ð31Þ where Hth denotes the predicted Hubble parameter value from the model, Hobs represents its observed value, and the standard error in the observed value of H is denoted by HðzkÞ.



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    Spine classes are inhomogeneously distributed on the dendrites. (a) Spines were categorized into four classes by hierarchical clustering of shape and length: upper panels—individual diameter profiles (gray) and average profile of each class (green). The total lengths of the profiles were scaled to the average spine length of the respective class; lower panels—representative spine examples. Scale bars, 1 μ m . (b) Relative abundance of each spine class on the dendrites, the distribution differs among dendrites. Numbers 1 to 4 refer to the four neurons, letters to the dendrites (see <xref ref-type=Fig. 1 ). Color code as in panel (a). (c) Pie charts showing which fraction of a specific spine class is found on each dendrite. (d) Pairwise Pearson’s chi-square tests confirm significant differences among the repartition of the classes on the dendrites within three of the four neurons. p values color coded: p ≤ 0.05 red, p ≤ 0.01 yellow, p ≤ 0.001 green, and p > 0.05 blue. All tests have been corrected for multiple comparisons. (e) Pairwise Pearson’s chi-square tests for all dendrites of all cells. " width="250" height="auto" />
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    Spine classes are inhomogeneously distributed on the dendrites. (a) Spines were categorized into four classes by hierarchical clustering of shape and length: upper panels—individual diameter profiles (gray) and average profile of each class (green). The total lengths of the profiles were scaled to the average spine length of the respective class; lower panels—representative spine examples. Scale bars, 1 μ m . (b) Relative abundance of each spine class on the dendrites, the distribution differs among dendrites. Numbers 1 to 4 refer to the four neurons, letters to the dendrites (see <xref ref-type=Fig. 1 ). Color code as in panel (a). (c) Pie charts showing which fraction of a specific spine class is found on each dendrite. (d) Pairwise Pearson’s chi-square tests confirm significant differences among the repartition of the classes on the dendrites within three of the four neurons. p values color coded: p ≤ 0.05 red, p ≤ 0.01 yellow, p ≤ 0.001 green, and p > 0.05 blue. All tests have been corrected for multiple comparisons. (e) Pairwise Pearson’s chi-square tests for all dendrites of all cells. " width="250" height="auto" />
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    Spine classes are inhomogeneously distributed on the dendrites. (a) Spines were categorized into four classes by hierarchical clustering of shape and length: upper panels—individual diameter profiles (gray) and average profile of each class (green). The total lengths of the profiles were scaled to the average spine length of the respective class; lower panels—representative spine examples. Scale bars, 1 μ m . (b) Relative abundance of each spine class on the dendrites, the distribution differs among dendrites. Numbers 1 to 4 refer to the four neurons, letters to the dendrites (see <xref ref-type=Fig. 1 ). Color code as in panel (a). (c) Pie charts showing which fraction of a specific spine class is found on each dendrite. (d) Pairwise Pearson’s chi-square tests confirm significant differences among the repartition of the classes on the dendrites within three of the four neurons. p values color coded: p ≤ 0.05 red, p ≤ 0.01 yellow, p ≤ 0.001 green, and p > 0.05 blue. All tests have been corrected for multiple comparisons. (e) Pairwise Pearson’s chi-square tests for all dendrites of all cells. " width="100%" height="100%">

    Journal: Neurophotonics

    Article Title: Distribution of spine classes shows intra-neuronal dendritic heterogeneity in mouse cortex

    doi: 10.1117/1.NPh.12.1.015001

    Figure Lengend Snippet: Spine classes are inhomogeneously distributed on the dendrites. (a) Spines were categorized into four classes by hierarchical clustering of shape and length: upper panels—individual diameter profiles (gray) and average profile of each class (green). The total lengths of the profiles were scaled to the average spine length of the respective class; lower panels—representative spine examples. Scale bars, 1 μ m . (b) Relative abundance of each spine class on the dendrites, the distribution differs among dendrites. Numbers 1 to 4 refer to the four neurons, letters to the dendrites (see Fig. 1 ). Color code as in panel (a). (c) Pie charts showing which fraction of a specific spine class is found on each dendrite. (d) Pairwise Pearson’s chi-square tests confirm significant differences among the repartition of the classes on the dendrites within three of the four neurons. p values color coded: p ≤ 0.05 red, p ≤ 0.01 yellow, p ≤ 0.001 green, and p > 0.05 blue. All tests have been corrected for multiple comparisons. (e) Pairwise Pearson’s chi-square tests for all dendrites of all cells.

    Article Snippet: We used Pearson’s chi-square test (Matlab’s function crosstab) to test for significant differences in class distribution on dendrites ( ) with a 5% significance level and corrected for multiple comparisons with the Bonferroni correction.

    Techniques: