Biostatistics series module 4: Comparing groups - categorical variables
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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Comparison of FAHP and FANP Decision-Making Methods in Determining the Appropriate Locations for Constructing an Underground Dam for Water Harvesting [PDF]
The recent droughts in Iran made a decline in groundwater table and the migration of villagers to cities was hindered supplying drinking water for the current population. Therefore it should be considered as an important issue.
Saeed Tavakoli +3 more
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Maximally selected chi-square statistics and umbrella orderings [PDF]
Binary outcomes that depend on an ordinal predictor in a non-monotonic way are common in medical data analysis. Such patterns can be addressed in terms of cutpoints: for example, one looks for two cutpoints that define an interval in the range of the ...
Anne-laure Boulesteix +3 more
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Chi-Square Goodness of Fit test
Cara mengutipRajeg, Gede Primahadi Wijaya (2023). Chi-Square Goodness of Fit test. figshare. Presentation. https://doi.org/10.6084/m9.figshare.24763488DeskripsiSalindia perkuliahan untuk mata kuliah Linguistik Korpus pada Program Studi Doktor Linguistik,
Gede Primahadi Wijaya Rajeg (3375653)
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Maximally selected chi-square statistics for at least ordinal scaled variables [PDF]
The association between a binary variable Y and a variable X with an at least ordinal measurement scale might be examined by selecting a cutpoint in the range of X and then performing an association test for the obtained 2x2 contingency table using the ...
Boulesteix, Anne-Laure
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Chi-square test for the joint significance of variables.
Chi-square test for the joint significance of variables.
Aregash Getachew Hailu (11986377) +1 more
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Chi-square test and its application in hypothesis testing
In medical research, there are studies which often collect data on categorical variables that can be summarized as a series of counts. These counts are commonly arranged in a tabular format known as a contingency table.
Rakesh Rana, Richa Singhal
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Dichotomization of Multilevel Variables to Detect Hidden Associations
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 of pathological stages among molecular subtypes.
Chi-square test of pathological stages among molecular subtypes.
Yifei Liu (547021)
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Maximally selected chi-square statistics and binary splits of nominal variables [PDF]
We address the problem of maximally selected chi-square statistics in the case of a binary Y variable and a nominal X variable with several categories. The distribution of the maximally selected chi-square statistic has already been derived when the best
Boulesteix, Anne-Laure
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