Biostatistics series module 4: Comparing groups - categorical variables
Indian Journal of Dermatology, 2016 Categorical variables are commonly represented as counts or frequencies. For analysis, such data are conveniently arranged in contingency tables. Conventionally, such tables are designated as r × c tables, with r denoting number of rows and c denoting ...
Avijit Hazra, Nithya Gogtay
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Chi-square and Cramer’s V test results between adjacent asset conditions. [PDF]
, 2021 Chi-square and Cramer’s V test results between adjacent asset conditions.
Yisheng Liu (11268411) +3 more
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Chi-square test results for benefit choice and economic benefits between UAR and AU employees. [PDF]
, 2023 Chi-square test results for benefit choice and economic benefits between UAR and AU employees.
Kelly V. Johnson (15927329) +5 more
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Chi-square test results for benefit choice and economic benefits between UAR and AU students. [PDF]
, 2023 Chi-square test results for benefit choice and economic benefits between UAR and AU students.
Kelly V. Johnson (15927329) +5 more
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Dichotomization of Multilevel Variables to Detect Hidden Associations
Applied Sciences, 2022 A test of independence is commonly used to determine differences (or associations) between samples in a nominal level measurement. Fisher’s exact test and Chi-square test are two of the most widely applied tests of independence used in the data analyses ...
Asdrúbal López-Chau +4 more
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Chi-square test for association of sociodemographic and clinical variables with delayed sputum smear conversion. [PDF]
, 2023 Chi-square test for association of sociodemographic and clinical variables with delayed sputum smear conversion.
Sarah Michael S. Liansim (14725366) +7 more
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Making sense of statistics for family practitioner The "Chi-square test" - getting it right
South African Family Practice, 2002 No abstract available.
Gboyego A. Ogunbanjo, David N. Durrheim
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Averaged shifted chi-square test [PDF]
, 2011 A simple procedure based on the average of shifted chi-square statistics (ASCS) is proposed to improve the classical chi-square procedure for testing whether a random sample has been drawn from a specified continuous distribution. We repeatedly partition
Wu, Jyh-Shyang; Deng, Wen-Shuenn +3 more
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The sensitivity of chi-squared goodness-of-fit tests to the partitioning of data [PDF]
, 2005 In this paper we conduct a Monte Carlo study to determine the power of Pearson’s overall goodness-of-fit test as well as the “Pearson analog” tests (see Anderson (1994)) to detect rejections due to shifts in variance, skewness and kurtosis, as we vary
Smith, Jeremy +5 more
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Chi-square test of patients undergone primary site surgery at different T stages. [PDF]
, 2023 Chi-square test of patients undergone primary site surgery at different T stages.
Yue Hu (201714) +4 more
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