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Year Number of Results
1848 1
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1880 1
1886 1
1888 1
1890 1
1893 1
1894 1
1895 1
1898 1
1899 2
1901 3
1902 1
1903 2
1905 1
1906 3
1908 2
1909 4
1910 2
1911 5
1912 4
1913 6
1914 2
1915 2
1916 8
1917 4
1918 2
1919 6
1920 16
1921 7
1922 7
1923 17
1924 18
1925 21
1926 20
1927 16
1928 25
1929 16
1930 21
1931 24
1932 17
1933 17
1934 8
1935 27
1936 26
1937 26
1938 25
1939 18
1940 11
1941 21
1942 35
1943 21
1944 33
1945 428
1946 1033
1947 702
1948 655
1949 573
1950 579
1951 1387
1952 1957
1953 1532
1954 1263
1955 1452
1956 1739
1957 1935
1958 1995
1959 2166
1960 2318
1961 2843
1962 2634
1963 1561
1964 1769
1965 1638
1966 1665
1967 2156
1968 2689
1969 2728
1970 2974
1971 2894
1972 2997
1973 3070
1974 3659
1975 10670
1976 11463
1977 10992
1978 12031
1979 13240
1980 14315
1981 15315
1982 17058
1983 20330
1984 22397
1985 23620
1986 25605
1987 29249
1988 36831
1989 47753
1990 56991
1991 65078
1992 72544
1993 79619
1994 87185
1995 93108
1996 91619
1997 85505
1998 90062
1999 95286
2000 103678
2001 107296
2002 111723
2003 120614
2004 132781
2005 147285
2006 161413
2007 172405
2008 183556
2009 193174
2010 209033
2011 230220
2012 252869
2013 267730
2014 281022
2015 290895
2016 286065
2017 295961
2018 318957
2019 343953
2020 393738
2021 432303
2022 427141
2023 403829
2024 441157
2025 24666

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6,791,343 results

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Page 1
Missing data analysis: making it work in the real world.
Graham JW. Graham JW. Annu Rev Psychol. 2009;60:549-76. doi: 10.1146/annurev.psych.58.110405.085530. Annu Rev Psychol. 2009. PMID: 18652544 Review.
This review presents a practical summary of the missing data literature, including a sketch of missing data theory and descriptions of normal-model multiple imputation (MI) and maximum likelihood methods. ...Solutions are given for missing data challen …
This review presents a practical summary of the missing data literature, including a sketch of missing data theory and descrip …
Fundamentals of Research Data and Variables: The Devil Is in the Details.
Vetter TR. Vetter TR. Anesth Analg. 2017 Oct;125(4):1375-1380. doi: 10.1213/ANE.0000000000002370. Anesth Analg. 2017. PMID: 28787341 Review.
Inferential statistics allow researchers to make a valid estimate of the association between an intervention and the treatment effect in a specific population, based upon their randomly collected, representative sample data. ...Polytomous data have mor …
Inferential statistics allow researchers to make a valid estimate of the association between an intervention and the treatment effect …
Big Data Analytics in Medicine and Healthcare.
Ristevski B, Chen M. Ristevski B, et al. J Integr Bioinform. 2018 May 10;15(3):20170030. doi: 10.1515/jib-2017-0030. J Integr Bioinform. 2018. PMID: 29746254 Free PMC article.
This paper surveys big data with highlighting the big data analytics in medicine and healthcare. Big data characteristics: value, volume, velocity, variety, veracity and variability are described. Big data analytics in medicine and healthcare co …
This paper surveys big data with highlighting the big data analytics in medicine and healthcare. Big data characteristi …
Six tips for better spreadsheets.
Perkel JM. Perkel JM. Nature. 2022 Aug;608(7921):229-230. doi: 10.1038/d41586-022-02076-1. Nature. 2022. PMID: 35918522 No abstract available.
FAIR Data Infrastructure.
Neumann J. Neumann J. Adv Biochem Eng Biotechnol. 2022;182:195-207. doi: 10.1007/10_2021_193. Adv Biochem Eng Biotechnol. 2022. PMID: 35091812
In this chapter the concept of research data management is highlighted in the context of the data publication and data infrastructures. One focus of this contribution lies on the topics of metadata and the FAIR data principles associated with data …
In this chapter the concept of research data management is highlighted in the context of the data publication and data …
Data Sharing.
Bergren MD, Johnson K. Bergren MD, et al. NASN Sch Nurse. 2019 Jul;34(4):211-213. doi: 10.1177/1942602X19852934. NASN Sch Nurse. 2019. PMID: 31256755
The data life cycle starts with defining what data are needed, to collecting, storing, protecting, using, sharing, retiring, and destroying data. ...This article will discuss data sharing, the ethics, and the steps that must be taken to share data …
The data life cycle starts with defining what data are needed, to collecting, storing, protecting, using, sharing, retiring, a …
Big data-what is it and what use is it?
Atkinson G. Atkinson G. J Ambul Care Manage. 2014 Jul-Sep;37(3):196-8. doi: 10.1097/JAC.0000000000000039. J Ambul Care Manage. 2014. PMID: 24887519 No abstract available.
Data Quality and Data Quantity: Complements or Contradictions?
Stausberg J, Harkener S. Stausberg J, et al. Stud Health Technol Inform. 2023 Jun 29;305:24-27. doi: 10.3233/SHTI230414. Stud Health Technol Inform. 2023. PMID: 37386948
Although data quality is well defined, the relationship to data quantity remains unclear. Especially the big data approach promises advantages of volume in comparison with small samples in good quality. ...Surprisingly, the literature agreed in demandi …
Although data quality is well defined, the relationship to data quantity remains unclear. Especially the big data appro …
Embedded Data Representations.
Willett W, Jansen Y, Dragicevic P. Willett W, et al. IEEE Trans Vis Comput Graph. 2017 Jan;23(1):461-470. doi: 10.1109/TVCG.2016.2598608. IEEE Trans Vis Comput Graph. 2017. PMID: 27875162
We introduce embedded data representations, the use of visual and physical representations of data that are deeply integrated with the physical spaces, objects, and entities to which the data refers. ...We differentiate situated representations, which display …
We introduce embedded data representations, the use of visual and physical representations of data that are deeply integrated …
6,791,343 results
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