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"COMPARISON"
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In simple text and pictures, the author and illustrator create a compendium of small daily moments.
Book
Appropriate prescribing of oral beta-lactam antibiotics
Beta-lactam antibiotics are active against many gram-negative, gram-positive and anaerobic organisms. Care must be taken when selecting a specific drug because each beta-lactam group has a somewhat different antimicrobial spectrum.
Journal Article
Repeatability and reproducibility of various 4D Flow MRI postprocessing software programs in a multi-software and multi-vendor cross-over comparison study
BackgroundDifferent software programs are available for the evaluation of 4D Flow cardiovascular magnetic resonance (CMR). A good agreement of the results between programs is a prerequisite for the acceptance of the method. Therefore, the goal was to compare quantitative results from a cross-over comparison in individuals examined on two scanners of different vendors analyzed with four postprocessing software packages.MethodsEight healthy subjects (27 ± 3 years, 3 women) were each examined on two 3T CMR systems (Ingenia, Philips Healthcare; MAGNETOM Skyra, Siemens Healthineers) with a standardized 4D Flow CMR sequence. Six manually placed aortic contours were evaluated with Caas (Pie Medical Imaging, SW-A), cvi42 (Circle Cardiovascular Imaging, SW-B), GTFlow (GyroTools, SW-C), and MevisFlow (Fraunhofer Institute MEVIS, SW-D) to analyze seven clinically used parameters including stroke volume, peak flow, peak velocity, and area as well as typically scientifically used wall shear stress values. Statistical analysis of inter- and intrareader variability, inter-software and inter-scanner comparison included calculation of absolute and relative error (ER), intraclass correlation coefficient (ICC), Bland–Altman analysis, and equivalence testing based on the assumption that inter-software differences needed to be within 80% of the range of intrareader differences.ResultsSW-A and SW-C were the only software programs showing agreement for stroke volume (ICC = 0.96; ER = 3 ± 8%), peak flow (ICC: 0.97; ER = −1 ± 7%), and area (ICC = 0.81; ER = 2 ± 22%). Results from SW-A/D and SW-C/D were equivalent only for area and peak flow. Other software pairs did not yield equivalent results for routinely used clinical parameters. Especially peak maximum velocity yielded poor agreement (ICC ≤ 0.4) between all software packages except SW-A/D that showed good agreement (ICC = 0.80). Inter- and intrareader consistency for clinically used parameters was best for SW-A and SW-D (ICC = 0.56–97) and worst for SW-B (ICC = -0.01–0.71). Of note, inter-scanner differences per individual tended to be smaller than inter-software differences.ConclusionsOf all tested software programs, only SW-A and SW-C can be used equivalently for determination of stroke volume, peak flow, and vessel area. Irrespective of the applied software and scanner, high intra- and interreader variability for all parameters have to be taken into account before introducing 4D Flow CMR in clinical routine. Especially in multicenter clinical trials a single image evaluation software should be applied.
Journal Article
Small, smaller, smallest
Introduces differences in size by comparing groups of small animals, such as small birds, turtles, and fish.
Book
The Wealth Inequality of Nations
Comparative research on income inequality has produced several frameworks to study the institutional determinants of income stratification. In contrast, no such framework and much less empirical evidence exist to explain cross-national differences in wealth inequality. This situation is particularly lamentable as cross-national patterns of inequality in wealth diverge sharply from those in income. We seek to pave the way for new explanations of cross-national differences in wealth inequality by tracing them to the influence of different wealth components. Drawing on the literatures on financialization and housing, we argue that housing equity should be the central building block of the comparative analysis of wealth inequality. Using harmonized data on 15 countries included in the Luxembourg Wealth Study (LWS), we demonstrate a lack of association between national levels of income and wealth inequality and concentration. Using decomposition approaches, we then estimate the degree to which national levels of wealth inequality and concentration relate to cross-national differences in wealth portfolios and the distribution of specific asset components. Considering the role of housing equity, financial assets, non-housing real assets, and non-housing debt, we show that cross-national variation in wealth inequality and concentration is centrally determined by the distribution of housing equity.
Journal Article
Long, longer, longest
Introduces differences in lengths by comparing lengths of baseball diamonds, tennis courts, Olympic swimming pools and other distances in sports.
Book
Exact p-values for pairwise comparison of Friedman rank sums, with application to comparing classifiers
Background
The Friedman rank sum test is a widely-used nonparametric method in computational biology. In addition to examining the overall null hypothesis of no significant difference among any of the rank sums, it is typically of interest to conduct pairwise comparison tests. Current approaches to such tests rely on large-sample approximations, due to the numerical complexity of computing the exact distribution. These approximate methods lead to inaccurate estimates in the tail of the distribution, which is most relevant for
p
-value calculation.
Results
We propose an efficient, combinatorial exact approach for calculating the probability mass distribution of the rank sum difference statistic for pairwise comparison of Friedman rank sums, and compare exact results with recommended asymptotic approximations. Whereas the chi-squared approximation performs inferiorly to exact computation overall, others, particularly the normal, perform well, except for the extreme tail. Hence exact calculation offers an improvement when small
p
-values occur following multiple testing correction. Exact inference also enhances the identification of significant differences whenever the observed values are close to the approximate critical value. We illustrate the proposed method in the context of biological machine learning, were Friedman rank sum difference tests are commonly used for the comparison of classifiers over multiple datasets.
Conclusions
We provide a computationally fast method to determine the exact
p
-value of the absolute rank sum difference of a pair of Friedman rank sums, making asymptotic tests obsolete. Calculation of exact
p
-values is easy to implement in statistical software and the implementation in R is provided in one of the Additional files and is also available at
http://www.ru.nl/publish/pages/726696/friedmanrsd.zip
.
Journal Article
Tall, taller, tallest
Introduces differences in height by comparing groups of tall landmarks and structures throughout the world, such as skyscrapers, bridges, and mountains.
Book
Testing the dimensional comparison theory: When do students prefer dimensional comparisons to social and temporal comparisons?
Students compare their achievement in a subject with their classmates’ achievements (social comparison), their own prior achievements (temporal comparison), and their achievements in other subjects (dimensional comparison), which can each be better (upward comparison), equal (lateral comparison), or worse (downward comparison). Prior research has investigated the impact of different comparison motivations on the prevalence of social and temporal comparisons, but no study has examined the same for dimensional comparisons yet. The present study closes this gap: A total of 605 German high school students were presented with four situations, in which a fictitious student receives the same objective feedback for an exam in a certain subject, but is motivated either to evaluate, to enhance, to improve, or to differentiate himself. For each comparison motivation, the participants judged how likely the fictitious student was to draw dimensional, social, and temporal upward, lateral, and downward comparisons. As a central result, dimensional comparisons in all directions had the highest prevalences under the self-differentiation motivation. In contrast, the prevalences of dimensional comparisons were relatively low under the other three motivations. This finding complements the recently developed dimensional comparison theory. For the first time, we could empirically show that dimensional comparisons primarily serve self-differentiation motivations.
Journal Article