Statistical Methodology
Stepped wedge cluster randomised trials: a review of the statistical methodology used and available
... Statistical methodology for SWDs continues to lag be- hind what is implemented in practice. Many SWDs might also be underpowered or even biased because they contain too few clusters for the chosen method of ...
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Matched case-control studies: a review of reported statistical methodology
... Table 3 presents the data on each publishing journal’s impact factor, in addition to the association between the previously described study design characteristics and cor- rect statistical methodology. From ...
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Statistical methodology for analyzing ordinal outcomes of traumatic brain injury
... a large data set; which was suitable for applying differ- ent statistical models on the ordinal outcome variable measuring changes in patients’ post-treatment outcomes. Only the patients who were at least 16 years ...
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Characteristics of the most recent developments in statistical methodology (with
... to statistical phenomena have been considered and that, for each of them, the appropriate methods of elabora- tion have been proposed: intensity, intensity ratios, variability and relations be- tween ...
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Data Loss Risk: A Multivariate Statistical Methodology Proposal
... The Conjoint Analysis is suitable for understanding respondents’ reactions to various combinations of values associated with each attribute by ranking their preferences , corresponding to dependent variables. The ...
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Distortion of statistical methodology by the courts
... Comparison of Approximations to Exact Binomial Probabilities for n = 30 and Expected Number of Cases = 12. No.[r] ...
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Statistical Methodology: III Receiver Operating Characteristic (ROC) Curves
... The sensitivity of the test at a specific cutpoint is calculated in column 4 Sensitivity.For each cutpoint, sensitivity is defined as the number of patients with appendicitis who have WB[r] ...
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Statistical methodology for tab charts : data reduction techniques in laser ablation analyses
... The calculation of mean and standard deviation error over background or plateau after the intuitive method, classification method or classification rules is applied to the tab-chart... T[r] ...
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Critical remarks on some applications of digital image analysis with emphasis on statistical methodology
... It is not obvious here (for the same patient) that a comparison of two images (before or after medication) would enable a statistical study similar to that of Example 1. This is most likely due to the problem of ...
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Statistical methodology for ordinal data in meta-analysis
... List of Abbreviations CI confidence interval df degrees of freedom GOR generalised odds ratio LOR log odds ratio MLE maximum likelihood estimator OR odds ratio ORG general odds ratio PGO[r] ...
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Statistical methodology for ordinal data in meta-analysis
... Heterogeneity is one of the most problematic aspects in meta-analysis. Sta- tistical agreement of results is under serious question in the presence of het- erogeneity. In this study, we have developed a QEBM using GOR ...
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An inverse problem statistical methodology summary
... Since the computations for standard errors and confidence intervals (and also the model comparison tests outlined in the next section) depend on an asymptotic limit distribution the- ory[r] ...
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An inverse problem statistical methodology summary
... In previous sections we have discussed techniques (e.g., residual plots) for investigating cor- rectness of the assumed statistical model underlying the estimation (OLS or GLS) procedures used in inverse problems. ...
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Statistical methodology for regression model with measurement error
... The geometric mean (GM) regression is covered in Chapter 7. The GM method is widely used in many disciplines including medical, pharmacol- ogy, astrometry, oceanography, and fisheries researches etc. This method is known ...
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Statistical methodology for regression model with measurement error
... The geometric mean (GM) regression is covered in Chapter 7. The GM method is widely used in many disciplines including medical, pharmacol- ogy, astrometry, oceanography, and fisheries researches etc. This method is known ...
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Tests of Mutual or Serial Independence of Random Vectors with Applications
... Journal of the Royal Statistical Society: Series B (Statistical Methodology) , 2017. A consistent nonparametric test for serial independence. R: A Language and Environment for Statistica[r] ...
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A Statistical Study on Women’s Perception on Violence against Women in Puducherry
... A detailed literature review on statistical methodology used in violence against women has been done by Mangoli R N and Tarase N G (2009). Many articles on violence against women in India reveal that there ...
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A Methodology for Statistical Behavioral Fault Modeling
... simulations. The Bootstrap method is a well- established robust statistical methodology. Although Bootstrap has been widely employed in the social sciences [8] and signal processing [9], there are few ...
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Why statistical inference from clinical trials is likely to generate false and irreproducible results
... at statistical methodology used in planning clinical trials and analyzing trial ...this methodology is based on various questionable and empirically untestable assumptions, dubious approximations and ...
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Combination of Experimental Design and Desirability Function as a Genuine Method to Achieve Common Optimal Conditions for the Adsorption of Pb(II) and Cu(II) onto the Poplar Tree Leaves: Equilibrium, Kinetic and Thermodynamic Studies
... To obtain the optimal experimental conditions for the simultaneous removal of Pb 2+ and Cu 2+ ions from aqueous solutions, two steps of statistical methods were used. First, twenty nine experiments were designed ...
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