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Biostatistics series module 4: Comparing groups - categorical variables

open access: yesIndian 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
doaj   +1 more source

Comparison of FAHP and FANP Decision-Making Methods in Determining the Appropriate Locations for Constructing an Underground Dam for Water Harvesting [PDF]

open access: yesWater Harvesting Research, 2018
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
doaj   +1 more source

Maximally selected chi-square statistics and umbrella orderings [PDF]

open access: yes, 2006
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
core   +1 more source

Chi-Square Goodness of Fit test

open access: yes, 2023
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)
core   +1 more source

Maximally selected chi-square statistics for at least ordinal scaled variables [PDF]

open access: yes, 2005
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
core   +1 more source

Chi-square test for the joint significance of variables.

open access: yes, 2022
Chi-square test for the joint significance of variables.
Aregash Getachew Hailu (11986377)   +1 more
core   +1 more source

Chi-square test and its application in hypothesis testing

open access: yesJournal of the Practice of Cardiovascular Sciences, 2015
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
doaj   +1 more source

Dichotomization of Multilevel Variables to Detect Hidden Associations

open access: yesApplied 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
doaj   +1 more source

Chi-square test of pathological stages among molecular subtypes.

open access: yes, 2023
Chi-square test of pathological stages among molecular subtypes.
Yifei Liu (547021)
core   +1 more source

Maximally selected chi-square statistics and binary splits of nominal variables [PDF]

open access: yes, 2005
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
core   +2 more sources

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