Application of a statistical software package for analysis of large patient dose data sets obtained from RIS

2010 ◽  
Vol 139 (1-3) ◽  
pp. 455-458 ◽  
Author(s):  
J. Fazakerley ◽  
P. Charnock ◽  
R. Wilde ◽  
R. Jones ◽  
M. Ward
Keyword(s):  
Software Package ◽  
Patient Dose ◽  
Data Sets ◽  
Statistical Software ◽  
Large Patient

On the Number and Nature of Common Factors Extracted by the Eigenvalue-One Rule Using BMDP VS SPSSX

1989 ◽  
Vol 65 (1) ◽  
pp. 155-160 ◽  
Author(s):  
Raymond Hubbard ◽  
Stuart J. Allen
Keyword(s):  
Factor Analysis ◽  
Empirical Data ◽  
Software Package ◽  
Common Factor ◽  
Common Factors ◽  
Computer Programs ◽  
Data Sets ◽  
Statistical Software ◽  
Common Factor Analysis ◽  
Psychology Literature

Given nuances in the computer programs, unwary researchers performing a common factor analysis on the same set of data can be expected to arrive at very different conclusions regarding the number and nature of extracted factors if they use the BMDP, as opposed to the SPSSx (or SAS), statistical software package. This is illustrated using six well-known empirical data sets from the psychology literature.

PERCEPTIONAL DIFFERENCES IN ARCHITECTURAL FACADE PERCEPTION DUE TO ARCHITECTURAL EDUCATION

2021 ◽  
Vol 0 (23) ◽  
pp. 0-0
Author(s):  
Emine YILDIZ KUYRUKÇU ◽  
Tuğba ÖZDEMİR ERDOĞAN
Keyword(s):  
Social Sciences ◽  
Software Package ◽  
Architectural Education ◽  
Data Sets ◽  
Behavioral Performance ◽  
Statistical Software ◽  
The Social ◽  
Package Program ◽  
Semantic Differentiation ◽  
Differentiation Scale

Aim: In this study, the façades of tourism buildings designed with different currents (universalism, regionalism, syncreticism, contextualism, neovernakularism) on the Antal-ya coastline, in terms of 'taste', 'chaos', 'affection', 'familiarity', by groups of architects and non-architects. It is aimed to examine how it is perceived. Method: For this purpo-se, the fronts of 20 tourism buildings from 5 different styles, designed with a modern and postmodern approach, were analyzed by 60 people through a questionnaire. In the survey, adjective pairs such as impressive / ordinary, original / imitation, coarse / elegant, modest / flamboyant, complex / plain, familiar / unfamiliar, modern / outdated, questio-ning the façade features for tourism buildings were evaluated with a five-digit semantic differentiation scale. The analysis of the data sets obtained through the questionnaire was performed with the IBM Statistical Package For The Social Sciences (SPSS) 23 For Windows statistical software package program. At the beginning of the study, it was thought that the subjects would have perception-behavioral performance differences depending on the architectural education. Results: Unlike the non-architect profession, the architect group liked the universalism, neo-natalism and regionalism movements, found it impressive and original; It was determined that he did not like the synchterism and contextualism movements as complex, rude and outdated. Conclusion: In the analysis, it was seen that the differences between architects and non-architects are statis-tically significant. As a result of the study, it was determined that there are significant differences between architects and non-architects in evaluating the adjectives of expres-siveness, complexity, familiarity and originality. İndividuals who do not have an archi-tectural education are familiar with the traditional inspired structures, and they find the-se structures impressive It is for the individuals who study architecture to find modern and regionalist structures impressive and original.

Assessment of serum interleukin-6 with a rapid test. The diagnosis of neonatal sepsis can be established or ruled out

2007 ◽  
Vol 148 (34) ◽  
pp. 1609-1614 ◽  
Author(s):  
Éva Görbe ◽  
Judit Jeager ◽  
Bálint Nagy ◽  
Ágnes Harmath ◽  
Erik Hauzman ◽  
...  
Keyword(s):  
Interleukin 6 ◽  
Neonatal Sepsis ◽  
Software Package ◽  
Rapid Test ◽  
Statistical Software

Bevezetés: A neonatális szepszis mortalitása magas, és koraszülöttek esetén a szepszis rizikója emelkedik a születési súly csökkenésével. Anyag és módszer: A szerzők gyorsteszt segítségével 12 érett újszülött és 60 igen kis súlyú (VLBW) koraszülött interleukin-6-vérszintjét határozták meg a C-reaktív protein vizsgálatával egyidejűleg, akiket a Semmelweis Egyetem I. Számú Szülészeti és Nőgyógyászati Klinikájának Neonatális Intenzív Centrumában kezeltek 2005-ben és 2006-ban. A szérum-IL-6 meghatározása gyorsteszt segítségével történt (Milenia Quickline IL-6, PicoScan system). Eredmények: Vizsgálataikban a szérum-interleukin-6- és CRP-meghatározás korrelált. A szérum-IL-6-meghatározás szenzitivitása a CRP-értékkel együtt az általuk vizsgált betegcsoportban 100% volt, álnegatív eset nem fordult elő. A vizsgálat pozitív prediktív értéke 93%. Adataikat Mann–Whitney-teszt segítségével analizálták (SPSS Statistical Software Package, Chicago, IL, USA). Szignifikáns különbség volt az igazolt szepszis és az infekciós betegcsoport IL-6-értékei között ( p = 0,048), valamint az infekciós és nem infekciós csoport interleukin-6-értékei között ( p < 0,005). Következtetések: Az igen kis súlyúak nem specifikus infekciós tünetekhez hasonló reakcióit értékelve, a szeptikus és nem infekciós esetek elkülönítése a neonatális morbiditás és mortalitás csökkentése érdekében is fontos szempont, a költségek csökkentésével egyidejűleg.

scholarly journals Why Socially Responsible? Determinant Factors of Organizational Performance: Case of Dangote Cement Factory in Ethiopia

2021 ◽  
Vol 13 (9) ◽  
pp. 4783
Author(s):  
Anna Dunay ◽  
Abebe Ayalew ◽  
Gemechu Abdissa
Keyword(s):  
Corporate Social Responsibility ◽  
Organizational Performance ◽  
Software Package ◽  
Positive Relationship ◽  
Multiple Linear Regression Model ◽  
Sampling Technique ◽  
Socially Responsible ◽  
Statistical Software ◽  
Cement Factory ◽  
Corporate Social

The main purpose of this study is to examine the effect of corporate social responsibility on the organizational performance of the Dangote cement factory in Ethiopia. In order to achieve the research objectives, the authors adopted both a descriptive and explanatory research design. Structured questionnaires were used to gather data from the targeted group of the study, where the probability and non-probability sampling technique was employed to draw a sample of 179. The collected data were presented and analyzed using the SPSS (version 20) statistical software package. A multiple linear regression model was applied to see the effect of CSR on organizational performance. The study showed that philanthropic activities, ethical activities, and legal activities affect organizational performance, have a positive relationship, and are statistically significant at a 1% confidence interval. It was concluded that for the existence of business industries, the community relation is key to ensuring a conducive atmosphere for the business to succeed.

Recent and Planned Developments of the Program OxCal

Radiocarbon ◽  
2013 ◽  
Vol 55 (2) ◽  
pp. 720-730 ◽  
Author(s):  
Christopher Bronk Ramsey ◽  
Sharen Lee
Keyword(s):  
Statistical Analysis ◽  
Statistical Methods ◽  
Software Package ◽  
Model Averaging ◽  
Data Sets ◽  
Radiocarbon Dates ◽  
New Approach ◽  
New Models ◽  
Multiphase Models ◽  
Deposition Models

OxCal is a widely used software package for the calibration of radiocarbon dates and the statistical analysis of 14C and other chronological information. The program aims to make statistical methods easily available to researchers and students working in a range of different disciplines. This paper will look at the recent and planned developments of the package. The recent additions to the statistical methods are primarily aimed at providing more robust models, in particular through model averaging for deposition models and through different multiphase models. The paper will look at how these new models have been implemented and explore the implications for researchers who might benefit from their use. In addition, a new approach to the evaluation of marine reservoir offsets will be presented. As the quantity and complexity of chronological data increase, it is also important to have efficient methods for the visualization of such extensive data sets and methods for the presentation of spatial and geographical data embedded within planned future versions of OxCal will also be discussed.

scholarly journals iSEE: Interactive SummarizedExperiment Explorer

F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 741 ◽  
Author(s):  
Kevin Rue-Albrecht ◽  
Federico Marini ◽  
Charlotte Soneson ◽  
Aaron T.L. Lun
Keyword(s):  
High Throughput ◽  
Software Package ◽  
Biological Data ◽  
Data Exploration ◽  
Data Sets ◽  
Proteomics Data ◽  
Code Tracking ◽  
Dynamic Linking ◽  
Interactive Visualisation ◽  
Visual Interface

Data exploration is critical to the comprehension of large biological data sets generated by high-throughput assays such as sequencing. However, most existing tools for interactive visualisation are limited to specific assays or analyses. Here, we present the iSEE (Interactive SummarizedExperiment Explorer) software package, which provides a general visual interface for exploring data in a SummarizedExperiment object. iSEE is directly compatible with many existing R/Bioconductor packages for analysing high-throughput biological data, and provides useful features such as simultaneous examination of (meta)data and analysis results, dynamic linking between plots and code tracking for reproducibility. We demonstrate the utility and flexibility of iSEE by applying it to explore a range of real transcriptomics and proteomics data sets.

scholarly journals The results of a subjective assessment of the organization of inpatient care for newborn parents and neonatologists

2020 ◽  
Vol 101 (3) ◽  
pp. 412-417
Author(s):  
K E Moiseeva ◽  
E N Berezkina ◽  
V V Kirilenko
Keyword(s):  
Software Package ◽  
Inpatient Care ◽  
Medical Personnel ◽  
Subjective Assessment ◽  
Technical Equipment ◽  
Medical Organization ◽  
Statistical Software ◽  
Financial Costs ◽  
Individual Laboratory ◽  
Mathematical Processing

Aim. To study the opinion of mothers of newborns and neonatologists about the organization of inpatient care for newborns in St. Petersburg. Methods. An anonymous survey of 2123 mothers of newborns and 172 neonatologists of St. Petersburg was conducted. The representativeness of the sample was checked by using the method of Professor A.M. Merkov, with the errors do not exceed 4 and 3%, respectively. Mathematical processing and data analysis were carried out by using the statistical software package PASW STATISTICS. Results. 28.9% of mothers were partially or completely unsatisfied with the organization of inpatient care for newborns, in most cases due to the unfriendly and inattentive attitude by the medical staff (22.4%), the unsatisfactory provision by child care products (12.8%) and poor material and technical equipment of a medical organization (12.5%). On average, the human qualities of neonatologists were rated quite high by mothers at 4.630.09 (out of 5) points, and in mid-level practitioners were significantly lower 3.910.08 points (p 0.05). In general, staying a newborn in a medical organization required financial costs for 37.3% of women, and 13.9% of respondents who received help through compulsory medical insurance paid for individual laboratory and other tests on their own. Mothers rated the organization of inpatient care for newborns on average 4.010.09 points. Compared to mothers, neonatologists rated it higher in the medical organization they work for and lower overall in St. Petersburg (M=4.110.10 points and M=3.780.12 points; p 0.05). According to the doctors, the main disadvantages of organizing inpatient care for newborns are poor material and technical equipment and problems associated with the staffing and qualifications of medical personnel. Conclusion. There is a need to improve the process of providing inpatient care to newborns.

Can machine learning be used to reduce overtreatment of the axilla in breast cancer? Results from a retrospective cohort study (Preprint)

2021 ◽  
Author(s):  
Felix Jozsa ◽  
Rose Baker ◽  
Peter Kelly ◽  
Muneer Ahmed ◽  
Michael Douek
Keyword(s):  
Breast Cancer ◽  
Machine Learning ◽  
Axillary Node ◽  
Machine Learning Techniques ◽  
Data Sets ◽  
Axillary Ultrasound ◽  
Primary Surgery ◽  
Large Patient ◽  
Specificity And Sensitivity ◽  
Axillary Node Clearance

BACKGROUND Patients with early breast cancer undergoing primary surgery who have low axillary nodal burden can safely forego axillary node clearance (ANC). However, routine use of axillary ultrasound (AUS) leads to 43% of patients in this group having ANC unnecessarily following a positive AUS. The intersection of machine learning with medicine can provide innovative ways to understand specific risk within large patient data sets, but this has not yet been trialled in the arena of axillary node management in breast cancer. OBJECTIVE To assess if machine learning techniques could be used to improve pre-operative identification of patients with low and high axillary metastatic burden. METHODS A single-centre retrospective analysis was performed on patients with breast cancer who had a preoperative axillary ultrasound, and the specificity and sensitivity of AUS were calculated. Machine learning and standard statistical methods were applied to the data to see if, when used preoperatively, they could have improved the accuracy of AUS to better discern between high and low axillary burden. RESULTS The study included 459 patients; 31% (n=142) had a positive AUS, and, among this group, 62% (n=88) had two or fewer macrometastatic nodes at ANC. When applied to the dataset, logistic regression outperformed AUS and machine learning methods with a specificity of 0.950, correctly identifying 66 patients in this group who had been incorrectly classed as having high axillary burden by AUS alone. Of all the methods, the artificial neural network had the highest accuracy (0.919). Interestingly, AUS had the highest sensitivity of all methods (0.777), underlining its utility in this setting. CONCLUSIONS Machine learning greatly improves identification of the important subgroup of patients with no palpable axillary disease, positive ultrasound, and more than two metastatically involved nodes. A negative ultrasound in patients with no palpable lymphadenopathy is highly indicative of low burden and it is unclear if sentinel node biopsy adds value in this situation. CLINICALTRIAL n/a

Reduction and analysis of SANS and USANS data using IGOR Pro

2006 ◽  
Vol 39 (6) ◽  
pp. 895-900 ◽  
Author(s):  
Steven R. Kline
Keyword(s):  
Neutron Scattering ◽  
Small Angle ◽  
Software Package ◽  
Small Angle Neutron Scattering ◽  
Data Sets ◽  
Graphical Interface ◽  
Model Independent ◽  
Analysis Models ◽  
Reduced Data ◽  
Modular Format

A software package is presented for performing reduction and analysis of small-angle neutron scattering (SANS) and ultra-small-angle neutron scattering (USANS) data. A graphical interface has been developed to visualize and quickly reduce raw SANS and USANS data into one- or two-dimensional formats for interpretation. The resulting reduced data can then be analyzed using model-independent methods or non-linear fitting to one of a large and growing catalog of included structural models. The different instrumental smearing effects for slit-smeared USANS and pinhole-smeared SANS data are handled automatically during analysis. In addition, any number of SANS and USANS data sets can be analyzed simultaneously. The reduction operations and analysis models are written in a modular format for extensibility, allowing users to contribute code and models for distribution to all users. The software package is based on Igor Pro, providing freely distributable and modifiable code that runs on Macintosh and Windows operating systems.

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