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

Year Number of Results
1955 1
1962 1
1965 1
1966 2
1967 1
1969 1
1971 2
1973 1
1975 1
1976 31
1977 2
1978 2
1984 1
1986 5
1987 89
1988 297
1989 498
1990 502
1991 634
1992 597
1993 643
1994 789
1995 1066
1996 1194
1997 1100
1998 1398
1999 1417
2000 1455
2001 1568
2002 1645
2003 2108
2004 2043
2005 2833
2006 3738
2007 4413
2008 4309
2009 3586
2010 3214
2011 3609
2012 3644
2013 3594
2014 2591
2015 2024
2016 1789
2017 1594
2018 1609
2019 689
2020 13
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56,274 results
Results by year
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Page 1
Interpretation of statistical results.
García Garmendia JL and Maroto Monserrat F. Med Intensiva 2018. PMID 29477785 Free article.
The appropriate interpretation of the statistical results is crucial to understand the advances in medical science. The statistical tools allow us to transform the uncertainty and apparent chaos in nature to measurable parameters which are applicable to our clinical practice. ...Various aspects of the designs, results and statistical analysis are reviewed, trying to facilitate his comprehension from the basics to what is most common but no better understood, and bringing a constructive, non-exhaustive but realistic look....
The appropriate interpretation of the statistical results is crucial to understand the advances in medical science. The sta
Statistical analysis and interpolation of compositional data in materials science.
Pesenson MZ, et al. ACS Comb Sci 2015. PMID 25547365
Since statistical measures such as mean and standard deviation are defined for the Euclidean space, traditional correlation studies, multivariate analysis, and hypothesis testing may lead to erroneous dependencies and incorrect inferences when applied to compositional data. ...Physically meaningful statistical analysis must yield results that are invariant under the number of composition elements, requiring the application of specialized statistical tools. ...
Since statistical measures such as mean and standard deviation are defined for the Euclidean space, traditional correlation studies, …
The chi-square test of independence
McHugh ML. Biochem Med (Zagreb) 2013. PMID 23894860 Free PMC article.
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. ...Limitations include its sample size requirements, difficulty of interpretation when there are large numbers of categories (20 or more) in the independent or dependent variables, and tendency of the Cramer's V to produce relative low correlation measures, even for highly significant results....
Like all non-parametric statistics, the Chi-square is robust with respect to the distribution of the data. Specifically, it does not …
An Exercise in Exploring Big Data for Producing Reliable Statistical Information.
Rey-Del-Castillo P and Cardeñosa J. Big Data 2016. PMID 27441716
National statistical organizations and other institutions are more and more involved in new projects for developing what is sometimes seen as a possible change of paradigm in the way statistical figures are produced. ...Using Call Detail Records from Ivory Coast as an illustration, this article shows some of the issues that must be dealt with when producing statistical indicators from Big Data sources. ...
National statistical organizations and other institutions are more and more involved in new projects for developing what is sometimes …
Beyond bar and line graphs: time for a new data presentation paradigm.
Weissgerber TL, et al. PLoS Biol 2015. PMID 25901488 Free PMC article.
This is problematic, as many different data distributions can lead to the same bar or line graph. The full data may suggest different conclusions from the summary statistics. We recommend training investigators in data presentation, encouraging a more complete presentation of data, and changing journal editorial policies. ...
This is problematic, as many different data distributions can lead to the same bar or line graph. The full data may suggest di …
Statistical data processing in clinical proteomics.
Smit S, et al. J Chromatogr B Analyt Technol Biomed Life Sci 2008 - Review. PMID 18033744
A cross-validation loop that is wrapped around the model development procedure assesses the performance using unseen data. The significance of the model should be tested; we use permutations of the data for comparison with uninformative data. ...We present a modular framework that combines feature selection, classification, biomarker discovery and statistical validation; these data analysis aspects are all discussed in this review. ...
A cross-validation loop that is wrapped around the model development procedure assesses the performance using unseen data. The signif …
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