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Year Number of Results
1786 1
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1792 1
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1796 3
1797 1
1799 5
1800 10
1801 6
1802 3
1804 3
1805 1
1808 1
1809 1
1810 1
1811 2
1813 1
1814 1
1816 3
1817 2
1818 1
1824 2
1826 1
1831 1
1834 1
1847 2
1848 13
1849 1
1857 1
1860 1
1879 1
1881 4
1882 2
1883 5
1884 3
1885 2
1889 1
1891 3
1892 2
1894 2
1895 2
1896 1
1897 8
1898 3
1899 2
1900 4
1901 5
1902 2
1903 2
1904 2
1905 1
1907 1
1909 8
1910 1
1911 2
1912 4
1914 3
1915 1
1916 2
1917 1
1918 1
1919 2
1920 5
1921 4
1922 4
1923 1
1924 3
1925 2
1926 6
1927 2
1928 5
1929 3
1930 3
1931 1
1932 2
1933 1
1934 3
1935 5
1936 4
1937 1
1938 2
1939 1
1940 4
1941 3
1942 3
1943 4
1944 4
1945 12
1946 34
1947 42
1948 49
1949 42
1950 47
1951 38
1952 32
1953 37
1954 35
1955 45
1956 57
1957 46
1958 37
1959 44
1960 40
1961 38
1962 64
1963 72
1964 75
1965 83
1966 86
1967 103
1968 106
1969 127
1970 124
1971 135
1972 133
1973 158
1974 150
1975 162
1976 199
1977 190
1978 236
1979 232
1980 223
1981 236
1982 242
1983 243
1984 253
1985 284
1986 303
1987 315
1988 322
1989 364
1990 423
1991 490
1992 438
1993 495
1994 526
1995 535
1996 601
1997 609
1998 651
1999 727
2000 744
2001 887
2002 973
2003 1134
2004 1345
2005 1485
2006 1710
2007 1864
2008 2144
2009 2320
2010 2686
2011 3173
2012 3620
2013 3997
2014 4527
2015 5046
2016 5430
2017 5696
2018 6239
2019 6872
2020 8255
2021 9482
2022 9930
2023 9663
2024 9211
2025 35
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106,603 results

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Page 1
[Pearson's or Spearman's correlation coefficients].
Pripp AH. Pripp AH. Tidsskr Nor Laegeforen. 2018 May 8;138(8). doi: 10.4045/tidsskr.18.0042. Print 2018 May 8. Tidsskr Nor Laegeforen. 2018. PMID: 29737766 Free article. Norwegian. No abstract available.
Should Pearson's correlation coefficient be avoided?
Armstrong RA. Armstrong RA. Ophthalmic Physiol Opt. 2019 Sep;39(5):316-327. doi: 10.1111/opo.12636. Epub 2019 Aug 18. Ophthalmic Physiol Opt. 2019. PMID: 31423624 Review.
PURPOSE: To survey the use of Pearson's correlation coefficient (r) and related statistical methods in the ophthalmic literature, to consider the limitations of r, and to suggest suitable alternative methods of analysis. RECENT FINDINGS: Searching Ophthalmic and Phy …
PURPOSE: To survey the use of Pearson's correlation coefficient (r) and related statistical methods in the ophthalmic literatu …
[Pearson's chi-squared test].
Lydersen S, Fagerland MW, Laake P. Lydersen S, et al. Tidsskr Nor Laegeforen. 2019 Sep 9;139(12). doi: 10.4045/tidsskr.18.0125. Print 2019 Sep 10. Tidsskr Nor Laegeforen. 2019. PMID: 31502782 Free article. Norwegian. No abstract available.
Pearson's goodness-of-fit tests for sparse distributions.
Chang S, Li D, Qi Y. Chang S, et al. J Appl Stat. 2021 Dec 30;50(5):1078-1093. doi: 10.1080/02664763.2021.2017413. eCollection 2023. J Appl Stat. 2021. PMID: 37009596 Free PMC article.
Pearson's chi-squared test is widely used to test the goodness of fit between categorical data and a given discrete distribution function. ...By using the martingale techniques, we prove that Pearson's chi-squared test statistic converges to the normal …
Pearson's chi-squared test is widely used to test the goodness of fit between categorical data and a given discrete distributi …
Pearson's correlation coefficient.
Williams S. Williams S. N Z Med J. 1996 Feb 9;109(1015):38. N Z Med J. 1996. PMID: 8606814 No abstract available.
Underestimation of Pearson's product moment correlation statistic.
Humphreys RK, Puth MT, Neuhäuser M, Ruxton GD. Humphreys RK, et al. Oecologia. 2019 Jan;189(1):1-7. doi: 10.1007/s00442-018-4233-0. Epub 2018 Jul 30. Oecologia. 2019. PMID: 30062565 Free PMC article.
Pearson's product moment correlation coefficient (more commonly Pearson's r) tends to underestimate correlations that exist in the underlying population. ...Here, our literature review suggests that corrections for the issue of underestimation in Pe …
Pearson's product moment correlation coefficient (more commonly Pearson's r) tends to underestimate correlations …
Pearson's Marrow-Pancreas Syndrome.
Al-Tamemi SH. Al-Tamemi SH. Sultan Qaboos Univ Med J. 2009 Aug;9(2):196-7. Epub 2009 Jun 30. Sultan Qaboos Univ Med J. 2009. PMID: 21509300 Free PMC article. No abstract available.
Testing the significance of a correlation with nonnormal data: comparison of Pearson, Spearman, transformation, and resampling approaches.
Bishara AJ, Hittner JB. Bishara AJ, et al. Psychol Methods. 2012 Sep;17(3):399-417. doi: 10.1037/a0028087. Epub 2012 May 7. Psychol Methods. 2012. PMID: 22563845 Review.
It is well known that when data are nonnormally distributed, a test of the significance of Pearson's r may inflate Type I error rates and reduce power. Statistics textbooks and the simulation literature provide several alternatives to Pearson's correla …
It is well known that when data are nonnormally distributed, a test of the significance of Pearson's r may inflate Type I erro …
Pearson's chi-square test and rank correlation inferences for clustered data.
Shih JH, Fay MP. Shih JH, et al. Biometrics. 2017 Sep;73(3):822-834. doi: 10.1111/biom.12653. Epub 2017 Feb 9. Biometrics. 2017. PMID: 28182832
Pearson's chi-square test has been widely used in testing for association between two categorical responses. ...
Pearson's chi-square test has been widely used in testing for association between two categorical responses. ...
Religiosity and spirituality in the prevention and management of depression and anxiety in young people: a systematic review and meta-analysis.
Aggarwal S, Wright J, Morgan A, Patton G, Reavley N. Aggarwal S, et al. BMC Psychiatry. 2023 Oct 10;23(1):729. doi: 10.1186/s12888-023-05091-2. BMC Psychiatry. 2023. PMID: 37817143 Free PMC article.
Meta-analysis of high-quality longitudinal studies (assessed using Joanna Briggs Institute critical appraisal tools, n = 25) showed a trend towards association of negative religious coping (i.e., feeling abandoned by or blaming God) with greater depressive symptoms over time ( …
Meta-analysis of high-quality longitudinal studies (assessed using Joanna Briggs Institute critical appraisal tools, n = 25) showed a trend …
106,603 results
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