Median Test

2005 ◽  
Author(s):  
Shlomo Sawilowsky ◽  
Clifford E. Lunneborg
Keyword(s):  
Median Test

scholarly journals A [68Ga]Ga-DOTANOC PET/CT Radiomic Model for Non-Invasive Prediction of Tumour Grade in Pancreatic Neuroendocrine Tumours

Diagnostics ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 870
Author(s):  
Alessandro Bevilacqua ◽  
Diletta Calabrò ◽  
Silvia Malavasi ◽  
Claudio Ricci ◽  
Riccardo Casadei ◽  
...  
Keyword(s):  
Neuroendocrine Tumour ◽  
Area Under The Curve ◽  
Tumour Volume ◽  
Assessment Method ◽  
Second Order ◽  
Tumour Grade ◽  
Non Invasive ◽  
Pet Ct ◽  
Median Test ◽  
Fdg Pet Ct

Predicting grade 1 (G1) and 2 (G2) primary pancreatic neuroendocrine tumour (panNET) is crucial to foresee panNET clinical behaviour. Fifty-one patients with G1-G2 primary panNET demonstrated by pre-surgical [68Ga]Ga-DOTANOC PET/CT and diagnostic conventional imaging were grouped according to the tumour grade assessment method: histology on the whole excised primary lesion (HS) or biopsy (BS). First-order and second-order radiomic features (RFs) were computed from SUV maps for the whole tumour volume on HS. The RFs showing the lowest p-values and the highest area under the curve (AUC) were selected. Three radiomic models were assessed: A (trained on HS, validated on BS), B (trained on BS, validated on HS), and C (using the cross-validation on the whole dataset). The second-order normalized homogeneity and entropy was the most effective RFs couple predicting G2 and G1. The best performance was achieved by model A (test AUC = 0.90, sensitivity = 0.88, specificity = 0.89), followed by model C (median test AUC = 0.87, sensitivity = 0.83, specificity = 0.82). Model B performed worse. Using HS to train a radiomic model leads to the best prediction, although a “hybrid” (HS+BS) population performs better than biopsy-only. The non-invasive prediction of panNET grading may be especially useful in lesions not amenable to biopsy while [68Ga]Ga-DOTANOC heterogeneity might recommend FDG PET/CT.

Abstract WP95: Feasibility of 24/7 Neurohospitalist Presence and Impact on Alteplase DTN Times and Mortality

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Alexander T Schneider ◽  
Reid Taylor ◽  
Robin Jones ◽  
Roy Nanz ◽  
Edward Jauch
Keyword(s):  
Ischemic Stroke ◽  
Intervention Group ◽  
Statistical Correlation ◽  
Time Of Day ◽  
Care Model ◽  
Community Hospitals ◽  
Post Intervention ◽  
Anova Model ◽  
Median Test ◽  
After Hours

Introduction: After hours stroke coverage in community hospitals is typically provided on-call from home or through telehealth. Lack of immediate on-site stroke expertise may delay door-to-needle (DTN) times for IV alteplase. A 750-bed community hospital that had evening emergency stroke coverage by a neurologist on-call from home transitioned to 24/7 neurohospitalist coverage in October 2015. Methods: Data were obtained from patients treated with alteplase in the ED for ischemic stroke. We evaluated the DTN times at baseline and after intervention of the new care model dichotomized by daytime (7a-5p) and evening (5p-7a). Mortality (death in hospital and discharge (DC) to hospice) was assessed. Data were compared for statistical correlation using a Mood’s Median Test and 2-sample t-test. Results: There were 579 cases from January 2015 through July 2019 treated with alteplase in the ED for ischemic stroke. Patients available for study pre- and post-intervention were 84 and 495, respectively (Table 1). Daytime arrival was more common. Significant improvements in door-to-neurohospitalist at bedside and DTN time were observed regardless of time of day, but the greatest difference seen was in evening hours. Using an ANOVA model, EMS arrival was the most significant factor predicting DTN times. Despite fewer patients arriving via EMS in the post-intervention group (90% vs 94% baseline), the DTN times improved post intervention. Mortality was significantly improved after the intervention. Despite a 44% increase in code stroke arrivals to the ED, the feasibility of the care model over ~4 years was maintained by no loss of any neurohospitalists and the addition of 1 more. Conclusion: In-hospital 24/7 model of neurohospitalist coverage is a feasible model for large community hospitals and is associated with significantly faster DTN times and reduced mortality. We will explore other aspects of the care model and other changes occurring during the study period.

A multivariate control median test

1999 ◽  
Vol 79 (1) ◽  
pp. 123-139 ◽  
Author(s):  
Hyo-Il Park ◽  
M.M. Desu
Keyword(s):  
Median Test ◽  
Multivariate Control

scholarly journals Description of Student Learning Outcomes between the Students who Follow Guidance Learning Outside the School with The Students are not Follow it in Biology Topics Class XI Science SMAN 7 Padang

2018 ◽  
Vol 2 (1) ◽  
pp. 1-9
Author(s):  
Fauzia Mawaddah ◽  
Rahmawati Darussyamsu ◽  
Helendra Helendra
Keyword(s):  
Data Analysis ◽  
Learning Outcomes ◽  
Sampling Technique ◽  
Student Learning Outcomes ◽  
Biology Class ◽  
Analysis Technique ◽  
Significant Difference ◽  
Median Test ◽  
Biological Learning ◽  
Good Learning

Factors influencing the success of a learning can come from both internal and external. Learners tend to have concerns in implementing learning to achieve good learning outcomes, so learners want to increase learning outside the school. Today, there are a lot of learning counseling institutions that are developing in various regions in Indonesia. This leads to a lot of interest of learners to follow the guidance of learning outside school. The purpose of this study is to see the contribution of tutoring outside school to the learning outcomes of learners who follow the guidance of learning outside the school on the subjects of biology class XI Science SMAN 7 Padang. The population of this research is all students of class XI IPA SMAN 7 Padang. Research samples are learners who follow and learners who do not follow the guidance of biological learning outside the school. The sampling technique used saturation sampling technique. The data analysis technique used is the median test, because one of the data is not normally distributed and the two groups are homogeneous. The average learning outcomes of learners that is 86.91, not too significant difference with those who do not follow the guidance of learning outside the school with an average of 84.88. The result of data analysis shows that there is no contribution of learning guidance to learners' learning outcomes which follow the guidance of study outside school with comparison of X2 count 0,270 and X2 table 3,84, so X2 count <X2 table. Thus, it can be concluded that the guidance of learning outside the school does not contribute to the learning outcomes of learners on the subjects of biology class XI IPA SMAN 7 Padang.

scholarly journals Coefficients of Fat and Nitrogen Absorption in Healthy Subjects and Individuals with Cystic Fibrosis

2007 ◽  
Vol 12 (1) ◽  
pp. 47-52
Author(s):  
Drucy Borowitz ◽  
Michael W. Konstan ◽  
Anna O'Rourke ◽  
Morty Cohen ◽  
Leslie Hendeles ◽  
...  
Keyword(s):  
Cystic Fibrosis ◽  
Healthy Subjects ◽  
Pancreatic Insufficiency ◽  
Pancreatic Enzyme ◽  
High Protein Diet ◽  
Fat Absorption ◽  
Nitrogen Absorption ◽  
High Fat ◽  
Food Dye ◽  
Median Test

BACKGROUND We sought to compare the differences of coefficient of fat absorption (CFA) and coefficient of nitrogen absorption (CNA) in healthy individuals and those with cystic fibrosis (CF) and to study the precision of CFA and CNA. METHODS Sixteen healthy and 23 subjects with CF and pancreatic insufficiency ate a high-fat, high-protein diet for 72 hours; stool was collected between blue food dye markers to determine CFA and CNA. Subjects with CF withheld pancreatic enzymes. Tests were repeated on 5 of the CF and 10 of the healthy subjects. RESULTS In healthy subjects, mean CFA was 93.5% ± 2.7%; mean CNA was 88.1% ± 5%. Median test-retest in 10 healthy subjects was +0.7% CFA (range, −8.1% to + 5.9%) and +0.9% CNA (range, −14.6% to +6.8%). For subjects with CF, mean CFA was 38.5% ± 14.7% and mean CNA was 52.2% ± 11.4%. Median test-retest change in 5 subjects with CF was −6.9% CFA (range, −19.7% to +42.8%) and +14.7% CNA (range, −6.4% to +42.8%). CONCLUSIONS CFA and CNA have inconsistent precision in CF. The limitations of CFA as a measure of steatorrhea correction in CF should be recognized in studies of pancreatic enzyme supplements.

scholarly journals Temporal and Spatial Autocorrelation as Determinants of Regional AOD-PM2.5 Model Performance in the Middle East

2021 ◽  
Vol 13 (18) ◽  
pp. 3790
Author(s):  
Khang Chau ◽  
Meredith Franklin ◽  
Huikyo Lee ◽  
Michael Garay ◽  
Olga Kalashnikova
Keyword(s):  
Machine Learning ◽  
Middle East ◽  
United Arab Emirates ◽  
Atmospheric Correction ◽  
Predictive Performance ◽  
Variable Importance ◽  
Learning Models ◽  
Median Test ◽  
Temporal And Spatial ◽  
Machine Learning Models

Exposure to fine particulate matter (PM2.5) air pollution has been shown in numerous studies to be associated with detrimental health effects. However, the ability to conduct epidemiological assessments can be limited due to challenges in generating reliable PM2.5 estimates, particularly in parts of the world such as the Middle East where measurements are scarce and extreme meteorological events such as sandstorms are frequent. In order to supplement exposure modeling efforts under such conditions, satellite-retrieved aerosol optical depth (AOD) has proven to be useful due to its global coverage. By using AODs from the Multiangle Implementation of Atmospheric Correction (MAIAC) of the MODerate Resolution Imaging Spectroradiometer (MODIS) and the Multiangle Imaging Spectroradiometer (MISR) combined with meteorological and assimilated aerosol information from the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2), we constructed machine learning models to predict PM2.5 in the area surrounding the Persian Gulf, including Kuwait, Bahrain, and the United Arab Emirates (U.A.E). Our models showed regional differences in predictive performance, with better results in the U.A.E. (median test R2 = 0.66) than Kuwait (median test R2 = 0.51). Variable importance also differed by region, where satellite-retrieved AOD variables were more important for predicting PM2.5 in Kuwait than in the U.A.E. Divergent trends in the temporal and spatial autocorrelations of PM2.5 and AOD in the two regions offered possible explanations for differences in predictive performance and variable importance. In a test of model transferability, we found that models trained in one region and applied to another did not predict PM2.5 well, even if the transferred model had better performance. Overall the results of our study suggest that models developed over large geographic areas could generate PM2.5 estimates with greater uncertainty than could be obtained by taking a regional modeling approach. Furthermore, development of methods to better incorporate spatial and temporal autocorrelations in machine learning models warrants further examination.

scholarly journals Association of apolipoprotein E gene polymorphism with cognitive abilities variability of elderly people

2018 ◽  
pp. 20-26
Author(s):  
А.В. Марусин ◽  
О.А. Макеева ◽  
К.В. Вагайцева ◽  
А.В. Бочарова ◽  
М.Г. Сваровская ◽  
...  
Keyword(s):  
Elderly People ◽  
Cognitive Functions ◽  
Cognitive Abilities ◽  
Natural Aging ◽  
The Elderly ◽  
Protein Isoforms ◽  
Apolipoprotein E Gene ◽  
Median Test ◽  
The Relationship ◽  
The Brain

Physiological changes in the brain with natural aging and the development of dementia have a common genetic basis, which makes it important to search for genetic variants that delineate the natural decline in cognitive abilities with age and dementia of the Alzheimer’s type. Objective: the search for the relationship between two polymorphic variants (rs429358 and rs7412) APOE gene and their protein isoforms (apoE) with the variability of cognitive functions in the elderly, determined by Montreal Cognitive Assessmnet (MoCA) total score. The study was performed on a group of 695 elderly people (177 men and 518 women) tested by a battery of MoCA tests. Genotyping was carried out by real-time PCR using TaqMan probes. The analysis of genotypic variability associations with the nominal trait was performed by the Kruskel-Wallis and the median test nonparametric methods.It was shown that the rs429358*C allele carriers and protein isoforms e4/e4+e2/e4+e3/e4 carriers in comparison with the e3/e3 homozygous have the greatest risk of decreased cognitive abilities in old age (OR (95% CI) was 1.51 (1.09 - 2.10), c = 6.66, p = 0.01 and OR = 1.64, 95% CI (1.11 - 2.44), c = 6.76, p = 0.009, respectively). Probably, the revealed associations indicate to the presence of common genes and mechanisms for dementia and intellect with normal variability of cognitive functions inheritance.

Changes in global and relationship-specific attachment working models

2022 ◽  
pp. 026540752110514
Author(s):  
Keely A. Dugan ◽  
R. Chris Fraley ◽  
Omri Gillath ◽  
Pascal R. Deboeck
Keyword(s):  
Online Survey ◽  
Romantic Partners ◽  
Latent Growth ◽  
Short Term ◽  
Working Models ◽  
Long Run ◽  
Curve Modeling ◽  
Median Test ◽  
As Relationship

Attachment theorists suggest that people construct a number of distinct working models throughout life. People develop global working models, which reflect their expectations and beliefs concerning relationships in general, as well as relationship-specific working models of close others—their mothers, fathers, romantic partners, and friends. The present research investigated the interplay of these different working models over time. We analyzed longitudinal data collected from 4,904 adults (mean age = 35.24 years; SD = 11.63) who completed between 3 and 24 online survey assessments (median test–retest interval = 35 days). Using latent growth curve modeling, we examined the associations among both long-term changes and short-term fluctuations in participants’ working models. Our findings suggest that different working models not only change together over the long run, but also exhibit co-occurring, short-term fluctuations. This was true concerning the associations between global and relationship-specific models as well as among different relationship-specific models.

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