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CH Instruments pearson and fisher’s chi2 (chi-square) test
Pearson And Fisher’s Chi2 (Chi Square) Test, 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%E2%80%93square+(chi2)+test/chi+2/pm40381143-61-7-8
Average 90 stars, based on 1 article reviews
pearson and fisher’s chi2 (chi-square) test - by Bioz Stars, 2026-09
90/100 stars

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Cream:

Article Title: Proprioceptive Reweighting and Postural Control are Impaired Among Elite Athletes Following Anterior Cruciate Ligament Reconstruction
Article Snippet: The proportions of flexible and rigid subjects in each group were tested using the chi-square (Chi2) test.

Article Title: TPGPred: A Mixed-Feature-Driven Approach for Identifying Thermophilic Proteins Based on GradientBoosting
Article Snippet: Chi2 (Chi-Square Test) [ ] is a feature-selection method based on the chi-square test, used to measure the independence between discrete features and the target variable, and it is commonly applied in classification tasks.

Article Title: How to evaluate Ultra-processed Food Intake in pediatrics? UPF Score: an easy alternative
Article Snippet: Group differences were assessed using the Chi-square test (Chi2) for categorical variables and analysis of variance (ANOVA) for tertile evaluation.

Article Title: Social bots spoil activist sentiment without eroding engagement
Article Snippet: The results of the Chi2 test (Chi-square = 3.53, p = 0.17) showed that the two samples are independent of gender, which means that their distribution is similar.

Article Title: How to evaluate ultra-processed food intake in pediatrics? UPF score: an easy alternative.
Article Snippet: The results indicate that lower UPF score (low frequency of consumption) is Table 4 Micronutrient intake, categorized by UPF score Group differences were assessed using the Chi‐square test (Chi2) for categorical variables and ANOVA or Kruskal–Wallis test mcg/1000 kcal Micrograms per 1000 kilocalories, mg/1000 kcal Milligrams per 1000 kilocalories, IQR Interquartile range Nutrients/1000 kcal, median (IQR) All participants Intake, UPF Score points P-value* Low, 4 (3–5 points) Moderate, 6 (6–7 points) High, 9 (8–10 points) n = 353 n = 170 n = 111 n = 72 Vitamin A, mcg 464.7 (299.3—787.0) 499.9 (333.2—847.5) 462.8 (327.3—709.6) 340.7 (245.7—605.7) 0.009 Vitamin B1, mg 0.6 (0.5—0.7) 0.6 (0.5—0.7) 0.6 (0.5—0.7) 0.6 (0.5—0.7) 0.720 Vitamin B2, mg 0.8 (0.6—0.9) 0.8 (0.6—1.0) 0.7 (0.6—0.9) 0.8 (0.6—0.9) 0.840 Vitamin B6, mg 0.7 (0.5—1.0) 0.8 (0.6—1.0) 0.7 (0.5—0.9) 0.7 (0.5—0.9) 0.075 Vitamin B12, mcg 1.2 (0.9—1.8) 1.3 (0.8—1.8) 1.2 (0.9—1.8) 1.2 (1.0—1.8) 0.870 Vitamin C, mg 43.3 (25.8—72.4) 48.4 (30.0—81.8) 40.6 (25.0—69.5) 41.5 (22.3—54.1) 0.026 Folic Acid, mcg 96.1 (68.8—131.9) 99.1 (71.6—135.2) 90.4 (69.1—133.5) 91.7 (62.6—128.7) 0.310 Pantothenic Acid, mg 1.5 (1.1—2.0) 1.6 (1.1—2.2) 1.5 (1.1—1.9) 1.5 (1.0—1.9) 0.230 Niacin, mg 7.6 (6.1—10.1) 7.9 (5.9—10.7) 7.5 (6.1—9.7) 7.5 (6.2—8.9) 0.290 Vitamin E, mg 2.3 (1.5—3.2) 2.3 (1.6—3.1) 2.4 (1.5—3.4) 2.1 (1.4—3.1) 0.380 Calcium, mg 473.1 (360.5—591.8) 480.8 (373.1—614.0) 474.4 (351.5—581.3) 467.5 (360.5—567.0) 0.510 Iron, mg 7.3 (6.0—8.6) 7.4 (6.5—8.8) 7.3 (6.2—8.5) 6.3 (5.3—8.2) 0.008 Potassium, mg 1052.6 (840.3—1297.5) 1135.2 (863.2—1403.8) 1027.4 (798.3—1223.2) 1012.5 (771.8—1203.8) 0.003 Magnesium, mg 114.5 (83.9—160.2) 120.6 (86.9—162.7) 115.7 (79.0—153.8) 110.1 (84.2—172.1) 0.460 Sodium, mg 1203.5 (998.8—1431.2) 1147.6 (973.2—1473.2) 1238.3 (1026.3—1405.6) 1240.1 (1047.4—1380.3) 0.760 Phosphorus, mg 368.8 (274.4—466.0) 376.6 (271.1—482.3) 354.6 (277.3—435.8) 385.2 (275.5—473.1) 0.390 Selenium, mg 27.0 (21.8—33.2) 27.6 (22.6—33.4) 26.4 (20.6—33.3) 26.2 (19.9—30.8) 0.250 Zinc, mg 3.3 (2.6—4.2) 3.3 (2.5—4.3) 3.2 (2.5—4.4) 3.3 (2.9—3.9) 0.920 Table 5 Multinomial logistic regression models to assess the main components associated with the UPF score Model 1: adjusted for gender, age, body mass index, and residence Components 1 + Cereal + Fat + Animal Products Product 2 -Sugar - Fat + Legumes 3 -Sugar + Fruits + Vegetables + Animal Products 4 + Fruits + milk and dairy products + Sugar

Article Title: Peritoneal cancer index in ovarian cancer: what does the surgeon really see?
Article Snippet: Introduction The aim of this paper is to study the agreement between the findings described by the surgeon during surgery (surgical Peritoneal Cancer Index or sPCI) and those obtained after the histopathological analysis (pathological Peritoneal Cancer Index or pPCI) of the resection specimens, in addition to their prognostic implications.. Materials and methods A consecutive series of patients diagnosed with high-grade serous ovarian cancer with peritoneal dissemination was analyzed between January 2008 and December 2022. sPCI were correlated with the pPCI results.. The study considered the surgeon as a diagnostic tool and established, in ovarian cancer, the parameters of sensitivity, specificity, predictive values, and probability coefficients.

Article Title: How to evaluate ultra-processed food intake in pediatrics? UPF score: an easy alternative.
Article Snippet: Data are expressed as median (25 th percentile, 75 th), or number (%), as appropriate cm Centimeters, BMI Body Mass Index, kg Kilograms, MEDIAN (IQR) Median (interquartile range) * Group differences were assessed using the Chi‐square test (Chi2) for categorical variables and ANOVA or Kruskal–Wallis test

Article Title: How to evaluate ultra-processed food intake in pediatrics? UPF score: an easy alternative.
Article Snippet: Group differences were assessed using the Chi-square test (Chi2) for categorical variables and analysis of variance (ANOVA) or Kruskal–Wallis test for tertile evaluation.

Fat:

Article Title: Proprioceptive Reweighting and Postural Control are Impaired Among Elite Athletes Following Anterior Cruciate Ligament Reconstruction
Article Snippet: The proportions of flexible and rigid subjects in each group were tested using the chi-square (Chi2) test.

Article Title: TPGPred: A Mixed-Feature-Driven Approach for Identifying Thermophilic Proteins Based on GradientBoosting
Article Snippet: Chi2 (Chi-Square Test) [ ] is a feature-selection method based on the chi-square test, used to measure the independence between discrete features and the target variable, and it is commonly applied in classification tasks.

Article Title: How to evaluate Ultra-processed Food Intake in pediatrics? UPF Score: an easy alternative
Article Snippet: Group differences were assessed using the Chi-square test (Chi2) for categorical variables and analysis of variance (ANOVA) for tertile evaluation.

Article Title: Social bots spoil activist sentiment without eroding engagement
Article Snippet: The results of the Chi2 test (Chi-square = 3.53, p = 0.17) showed that the two samples are independent of gender, which means that their distribution is similar.

Article Title: How to evaluate ultra-processed food intake in pediatrics? UPF score: an easy alternative.
Article Snippet: The results indicate that lower UPF score (low frequency of consumption) is Table 4 Micronutrient intake, categorized by UPF score Group differences were assessed using the Chi‐square test (Chi2) for categorical variables and ANOVA or Kruskal–Wallis test mcg/1000 kcal Micrograms per 1000 kilocalories, mg/1000 kcal Milligrams per 1000 kilocalories, IQR Interquartile range Nutrients/1000 kcal, median (IQR) All participants Intake, UPF Score points P-value* Low, 4 (3–5 points) Moderate, 6 (6–7 points) High, 9 (8–10 points) n = 353 n = 170 n = 111 n = 72 Vitamin A, mcg 464.7 (299.3—787.0) 499.9 (333.2—847.5) 462.8 (327.3—709.6) 340.7 (245.7—605.7) 0.009 Vitamin B1, mg 0.6 (0.5—0.7) 0.6 (0.5—0.7) 0.6 (0.5—0.7) 0.6 (0.5—0.7) 0.720 Vitamin B2, mg 0.8 (0.6—0.9) 0.8 (0.6—1.0) 0.7 (0.6—0.9) 0.8 (0.6—0.9) 0.840 Vitamin B6, mg 0.7 (0.5—1.0) 0.8 (0.6—1.0) 0.7 (0.5—0.9) 0.7 (0.5—0.9) 0.075 Vitamin B12, mcg 1.2 (0.9—1.8) 1.3 (0.8—1.8) 1.2 (0.9—1.8) 1.2 (1.0—1.8) 0.870 Vitamin C, mg 43.3 (25.8—72.4) 48.4 (30.0—81.8) 40.6 (25.0—69.5) 41.5 (22.3—54.1) 0.026 Folic Acid, mcg 96.1 (68.8—131.9) 99.1 (71.6—135.2) 90.4 (69.1—133.5) 91.7 (62.6—128.7) 0.310 Pantothenic Acid, mg 1.5 (1.1—2.0) 1.6 (1.1—2.2) 1.5 (1.1—1.9) 1.5 (1.0—1.9) 0.230 Niacin, mg 7.6 (6.1—10.1) 7.9 (5.9—10.7) 7.5 (6.1—9.7) 7.5 (6.2—8.9) 0.290 Vitamin E, mg 2.3 (1.5—3.2) 2.3 (1.6—3.1) 2.4 (1.5—3.4) 2.1 (1.4—3.1) 0.380 Calcium, mg 473.1 (360.5—591.8) 480.8 (373.1—614.0) 474.4 (351.5—581.3) 467.5 (360.5—567.0) 0.510 Iron, mg 7.3 (6.0—8.6) 7.4 (6.5—8.8) 7.3 (6.2—8.5) 6.3 (5.3—8.2) 0.008 Potassium, mg 1052.6 (840.3—1297.5) 1135.2 (863.2—1403.8) 1027.4 (798.3—1223.2) 1012.5 (771.8—1203.8) 0.003 Magnesium, mg 114.5 (83.9—160.2) 120.6 (86.9—162.7) 115.7 (79.0—153.8) 110.1 (84.2—172.1) 0.460 Sodium, mg 1203.5 (998.8—1431.2) 1147.6 (973.2—1473.2) 1238.3 (1026.3—1405.6) 1240.1 (1047.4—1380.3) 0.760 Phosphorus, mg 368.8 (274.4—466.0) 376.6 (271.1—482.3) 354.6 (277.3—435.8) 385.2 (275.5—473.1) 0.390 Selenium, mg 27.0 (21.8—33.2) 27.6 (22.6—33.4) 26.4 (20.6—33.3) 26.2 (19.9—30.8) 0.250 Zinc, mg 3.3 (2.6—4.2) 3.3 (2.5—4.3) 3.2 (2.5—4.4) 3.3 (2.9—3.9) 0.920 Table 5 Multinomial logistic regression models to assess the main components associated with the UPF score Model 1: adjusted for gender, age, body mass index, and residence Components 1 + Cereal + Fat + Animal Products Product 2 -Sugar - Fat + Legumes 3 -Sugar + Fruits + Vegetables + Animal Products 4 + Fruits + milk and dairy products + Sugar

Article Title: Peritoneal cancer index in ovarian cancer: what does the surgeon really see?
Article Snippet: Introduction The aim of this paper is to study the agreement between the findings described by the surgeon during surgery (surgical Peritoneal Cancer Index or sPCI) and those obtained after the histopathological analysis (pathological Peritoneal Cancer Index or pPCI) of the resection specimens, in addition to their prognostic implications.. Materials and methods A consecutive series of patients diagnosed with high-grade serous ovarian cancer with peritoneal dissemination was analyzed between January 2008 and December 2022. sPCI were correlated with the pPCI results.. The study considered the surgeon as a diagnostic tool and established, in ovarian cancer, the parameters of sensitivity, specificity, predictive values, and probability coefficients.

Article Title: How to evaluate ultra-processed food intake in pediatrics? UPF score: an easy alternative.
Article Snippet: Data are expressed as median (25 th percentile, 75 th), or number (%), as appropriate cm Centimeters, BMI Body Mass Index, kg Kilograms, MEDIAN (IQR) Median (interquartile range) * Group differences were assessed using the Chi‐square test (Chi2) for categorical variables and ANOVA or Kruskal–Wallis test

Article Title: How to evaluate ultra-processed food intake in pediatrics? UPF score: an easy alternative.
Article Snippet: Group differences were assessed using the Chi-square test (Chi2) for categorical variables and analysis of variance (ANOVA) or Kruskal–Wallis test for tertile evaluation.



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