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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1947 1
1949 1
1966 1
1970 1
1974 1
1975 2
1984 2
1985 1
1986 1
1987 1
1988 9
1989 158
1990 649
1991 648
1992 900
1993 1236
1994 1207
1995 1558
1996 1337
1997 1778
1998 1953
1999 1962
2000 2021
2001 2319
2002 2561
2003 2358
2004 2373
2005 2552
2006 2632
2007 2794
2008 3024
2009 3774
2010 6640
2011 7106
2012 7605
2013 5457
2014 2636
2015 2627
2016 2766
2017 2840
2018 1283
2019 349
2020 0
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71,207 results
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Page 1
The chi-square test of independence.
McHugh ML. Biochem Med (Zagreb) 2013. PMID 23894860 Free PMC article.
The Chi-square statistic is a non-parametric (distribution free) tool designed to analyze group differences when the dependent variable is measured at a nominal level. Like all non-parametric statistics, the Chi-square is robust with respect to the distribution of the data. Specifically, it does not require equality of variances among the study groups or homoscedasticity in the data. ...
The Chi-square statistic is a non-parametric (distribution free) tool designed to analyze group differences when the de …
The chi-square test.
Pandis N. Am J Orthod Dentofacial Orthop 2016. PMID 27871717
A power primer
Cohen J. Psychol Bull 1992. PMID 19565683
The sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests: (a) the difference between independent means, (b) the significance of a product-moment correlation, (c) the difference between independent rs, (d) the sign test, (e) the difference between independent proportions, (f) chi-square tests for goodness of fit and contingency tables, (g) one-way analysis of variance, and (h) the significance of a multiple or multiple partial correlation....
The sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests: (a) the differen …
Chi-square analysis.
Thomas DA. Pain 1990. PMID 2339007
Pearson's chi-square test and rank correlation inferences for clustered data.
Shih JH and Fay MP. Biometrics 2017. PMID 28182832
Pearson's chi-square test has been widely used in testing for association between two categorical responses. Spearman rank correlation and Kendall's tau are often used for measuring and testing association between two continuous or ordered categorical responses. ...
Pearson's chi-square test has been widely used in testing for association between two categorical responses. Spearman rank cor …
The chi-square test: its use in rehabilitation research.
Ottenbacher KJ. Arch Phys Med Rehabil 1995. PMID 7605189
OBJECTIVE: This report examines the impact of collecting and analyzing sequential data from the same sample using the chi-square test. ...DESIGN: Simulations were conducted using the chi-square test to analyze data with correlations between pretest and posttest ranging from .20 to .80. ...
OBJECTIVE: This report examines the impact of collecting and analyzing sequential data from the same sample using the chi-square
Risk Factors Analysis and Death Prediction in Some Life-Threatening Ailments Using Chi-Square Case-Based Reasoning (χ(2) CBR) Model.
Adeniyi DA, et al. Interdiscip Sci 2018. PMID 29383567
To alleviate this limitation, this paper proposes a simple but promising hybrid predictive model by suitably combining the Chi-square distance measurement with case-based reasoning technique. The study presents the realization of an automated risk calculator and death prediction in some life-threatening ailments using Chi-square case-based reasoning (χ(2) CBR) model. ...
To alleviate this limitation, this paper proposes a simple but promising hybrid predictive model by suitably combining the Chi-squ
The relationship between chi-square statistics from matched and unmatched analyses.
Donner A and Li KY. J Clin Epidemiol 1990 - Review. PMID 2200853
The McNemar chi-square statistic for testing the equality of proportions in matched pairs of binary data is expressed as a function of the Pearson chi-square statistic and a kappa statistic for measuring interrater agreement. ...The result is generalized to provide a similar relationship between Cochran's Q-statistic and the Pearson chi-square statistic for the comparison of proportions in matches of size m....
The McNemar chi-square statistic for testing the equality of proportions in matched pairs of binary data is expressed as a fun …
Choosing statistical tests: part 12 of a series on evaluation of scientific publications
du Prel JB, et al. Dtsch Arztebl Int 2010. PMID 20532129 Free PMC article.
RESULTS AND CONCLUSIONS: Readers who are acquainted not just with descriptive methods, but also with Pearson's chi-square test, Fisher's exact test, and Student's t test will be able to interpret a large proportion of medical research articles. ...
RESULTS AND CONCLUSIONS: Readers who are acquainted not just with descriptive methods, but also with Pearson's chi-square test …
71,207 results
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