Results 51 to 60 of about 14,515,084 (225)
International Review of Social Psychology, 2019 Researchers often lack knowledge about how to deal with outliers when analyzing their data. Even more frequently, researchers do not pre-specify how they plan to manage outliers.
Christophe Leys +4 more
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Velocity statistics from spectral line data: effects of density-velocity correlations, magnetic field, and shear [PDF]
, 2003 In a previous work Lazarian and Pogosyan suggested a technique to extract velocity and density statistics, of interstellar turbulence, by means of analysing statistics of spectral line data cubes.
A. Esquivel +4 more
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MethodologyIn behavioral sciences, researchers frequently employ mediation analysis with longitudinal data. A common scenario involves the 1 → 1 → 1 mediation model, where the Predictor X, Mediator(s) M, and Outcome Y are all measured at different occasions (Level ...
Jasper Bogaert +4 more
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Statistical Analysis with Linked Data
International Statistical Review, 2018 SummaryComputerised Record Linkage methods help us combine multiple data sets from different sources when a single data set with all necessary information is unavailable or when data collection on additional variables is time consuming and extremely costly. Linkage errors are inevitable in the linked data set because of the unavailability of error‐free
Ying Han, Partha Lahiri
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Statistical analysis of data [PDF]
Acta Psychiatrica Scandinavica, 1995 The major problem to be tackled in the statistical analysis of data is assessment of the variability in results. No two sets of data are ever likely to be the same even when apparently collected under identical conditions. The quantity of interest is called the response variable.
L. C. Wolstenholme, M. J. Crowder
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Analysis of Periodontal Data using Circular Statistics [PDF]
, 2012 Periodontal disease is a common cause of tooth loss in adults. The severity of periodontal disease is usually quantified based upon the magnitudes of several tooth-level clinical parameters, the most common of which is clinical attachment level (CAL). Re-
Braun, Thomas M, Maitra, Samopriyo
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Comment: Bayesian Checking of the Second Levels of Hierarchical Models
, 2007 We discuss the methods of Evans and Moshonov [Bayesian Analysis 1 (2006) 893--914, Bayesian Statistics and Its Applications (2007) 145--159] concerning checking for prior-data conflict and their relevance to the method proposed in this paper. [arXiv:0802.
Evans, M.
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BMC Plant Biology, 2018 Background Brassica napus (B. napus) encompasses diverse transcription factors (TFs), but thorough identification and characterization of TF families, as well as their transcriptional responsiveness to multifarious stresses are still not clear.
Pei Wang +10 more
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Spatial autocorrelation approaches to testing residuals from least squares regression
, 2015 In statistics, the Durbin-Watson test is always employed to detect the presence of serial correlation of residuals from a least squares regression analysis. However, the Durbin-Watson statistic is only suitable for ordered time or spatial series.
Chen, Yanguang
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Cost-effectiveness analysis of COVID-19 variants effects in an age-structured model
Scientific Reports, 2023 This study analyzes the impact of COVID-19 variants on cost-effectiveness across age groups, considering vaccination efforts and nonpharmaceutical interventions in Republic of Korea.
Giphil Cho +4 more
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