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Results by year

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

Year Number of Results
1897 1
1913 1
1914 1
1917 1
1920 3
1921 1
1922 1
1925 2
1926 1
1927 2
1928 2
1929 3
1930 2
1933 1
1934 1
1935 3
1937 2
1938 2
1939 2
1940 2
1941 2
1942 3
1943 1
1944 3
1945 7
1946 9
1947 11
1948 11
1949 8
1950 20
1951 33
1952 20
1953 29
1954 28
1955 34
1956 32
1957 44
1958 22
1959 28
1960 44
1961 42
1962 44
1963 57
1964 80
1965 81
1966 75
1967 105
1968 103
1969 126
1970 147
1971 117
1972 136
1973 173
1974 206
1975 1281
1976 1406
1977 1440
1978 1723
1979 1930
1980 2123
1981 2326
1982 2588
1983 3142
1984 3508
1985 3685
1986 4117
1987 4513
1988 4774
1989 6205
1990 6166
1991 6287
1992 6957
1993 7382
1994 8160
1995 8689
1996 9731
1997 10345
1998 11165
1999 11911
2000 12720
2001 13650
2002 14522
2003 16099
2004 18055
2005 20114
2006 22003
2007 24139
2008 26172
2009 27871
2010 30490
2011 33516
2012 36962
2013 40398
2014 43192
2015 45038
2016 44246
2017 44689
2018 48551
2019 51697
2020 58860
2021 65173
2022 65949
2023 63782
2024 32590
2025 2

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919,632 results

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Page 1
A Test of the ARCC Model Improves Implementation of Evidence-Based Practice, Healthcare Culture, and Patient Outcomes.
Melnyk BM, Fineout-Overholt E, Giggleman M, Choy K. Melnyk BM, et al. Worldviews Evid Based Nurs. 2017 Feb;14(1):5-9. doi: 10.1111/wvn.12188. Epub 2016 Dec 21. Worldviews Evid Based Nurs. 2017. PMID: 28002651
DESIGN: A pre-test, post-test longitudinal pre-experimental study was conducted with follow-up immediately following full implementation of the ARCC Model. ...Patient outcomes were collected in aggregate from the hospital's medical records. RESULTS: Findings …
DESIGN: A pre-test, post-test longitudinal pre-experimental study was conducted with follow-up immediately following fu …
Why most published research findings are false.
Ioannidis JP. Ioannidis JP. PLoS Med. 2005 Aug;2(8):e124. doi: 10.1371/journal.pmed.0020124. Epub 2005 Aug 30. PLoS Med. 2005. PMID: 16060722 Free PMC article.
Simulations show that for most study designs and settings, it is more likely for a research claim to be false than true. Moreover, for many current scientific fields, claimed research findings may often be simply accurate measures of the prevailing bias. In this ess …
Simulations show that for most study designs and settings, it is more likely for a research claim to be false than true. Moreover, fo …
Scientists rise up against statistical significance.
Amrhein V, Greenland S, McShane B. Amrhein V, et al. Nature. 2019 Mar;567(7748):305-307. doi: 10.1038/d41586-019-00857-9. Nature. 2019. PMID: 30894741 No abstract available.
Clinician's Guide to Understanding Effect Size, Alpha Level, Power, and Sample Size.
Peterson SJ, Foley S. Peterson SJ, et al. Nutr Clin Pract. 2021 Jun;36(3):598-605. doi: 10.1002/ncp.10674. Epub 2021 May 6. Nutr Clin Pract. 2021. PMID: 33956359 Review.
Effect size, alpha level, power, and sample size are misunderstood concepts that play a major role in the design and interpretation of studies. Effect size represents the magnitude of a change in an outcome or the strength of a relationship. ...Studies with grossly large s …
Effect size, alpha level, power, and sample size are misunderstood concepts that play a major role in the design and interpretation o …
Multiple correlations and Bonferroni's correction.
Curtin F, Schulz P. Curtin F, et al. Biol Psychiatry. 1998 Oct 15;44(8):775-7. doi: 10.1016/s0006-3223(98)00043-2. Biol Psychiatry. 1998. PMID: 9798082
Correlation coefficients between biological measurements and clinical scales are often calculated in psychiatric research. Calculating numerous correlations increases the risk of a type I error, i.e., to erroneously conclude the presence of a significant correlation …
Correlation coefficients between biological measurements and clinical scales are often calculated in psychiatric research. Calculatin …
Improving Outcomes.
McBrien S, Bailey Z, Ryder J, Scholer P, Talmon G. McBrien S, et al. Am J Clin Pathol. 2019 Nov 4;152(6):775-781. doi: 10.1093/ajcp/aqz100. Am J Clin Pathol. 2019. PMID: 31390654 Review.
OBJECTIVES: To determine the strength of study design and outcomes in literature describing pathology education for medical students. ...CONCLUSIONS: Most studies describing pathology educational interventions are not of strong experimental design. Consumers of educ …
OBJECTIVES: To determine the strength of study design and outcomes in literature describing pathology education for medical students. …
More about the basic assumptions of t-test: normality and sample size.
Kim TK, Park JH. Kim TK, et al. Korean J Anesthesiol. 2019 Aug;72(4):331-335. doi: 10.4097/kja.d.18.00292. Epub 2019 Apr 1. Korean J Anesthesiol. 2019. PMID: 30929413 Free PMC article.
The normality test is a kind of hypothesis test which has Type I and II errors, similar to the other hypothesis tests. ...In the current article, the relationships between normality, power, and sample size were discussed. As the sample size decreased in the normalit …
The normality test is a kind of hypothesis test which has Type I and II errors, similar to the other hypothesis tests. ...In t …
Discovery reliability.
Hånell A. Hånell A. J Cereb Blood Flow Metab. 2019 Jun;39(6):1185-1187. doi: 10.1177/0271678X19837015. Epub 2019 Mar 13. J Cereb Blood Flow Metab. 2019. PMID: 30866739 Free PMC article.
Whenever an experiment yields a statistically significant outcome you should ask yourself: To what extent can I trust this result? ...This can be used to assess to what extent the result of a study can be trusted (discovery reliability), and to guide the design of p …
Whenever an experiment yields a statistically significant outcome you should ask yourself: To what extent can I trust this result? .. …
Significance of hypothesis and P value.
Vaidyanathan AK. Vaidyanathan AK. J Indian Prosthodont Soc. 2023 Apr-Jun;23(2):103-104. doi: 10.4103/jips.jips_131_23. J Indian Prosthodont Soc. 2023. PMID: 37102533 Free PMC article. No abstract available.
Impact of Continuous Improvement of Laboratory Test Result Comments on Requests for Consultation: A Case Series.
Schmidt RL, Panlener JJ, Carasso SM, Hussong JW. Schmidt RL, et al. Am J Clin Pathol. 2016 May;145(5):666-70. doi: 10.1093/ajcp/aqw020. Epub 2016 Mar 2. Am J Clin Pathol. 2016. PMID: 27124936

Poor test comments can lead to calls for explanations and impair test interpretation and possibly patient care. ...Reductions were statistically significant for all tests (P < .007). CONCLUSIONS: Quality improvement activities targeted at test comme

…
Poor test comments can lead to calls for explanations and impair test interpretation and possibly patient care. ...Reductions …
919,632 results
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