№ files_lp_4_process_1_50126
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Tabulated statistical results presenting multiple candidate regression models evaluating associations between Shigella presence and dominance, grooming, huddling, and aggression network metrics using AIC-based model comparison.
Field of study:
Epidemiology
Research topic:
Statistical modeling of factors associated with Shigella presence
Type of document:
Statistical results table
Analytical method:
Model selection using Akaike Information Criterion (AIC and AICc)
Statistical models evaluated:
48
Response variable:
Shigella
Predictor variables:
Dominance Rank, Dominance Certainty, Grooming network metrics, Huddle network metrics, Aggression network metrics
Model statistics reported:
AIC, AICc, ΔAICc, model weight, degrees of freedom, regression coefficients, adjusted standard errors, p-values
Significance threshold:
p < 0.05
Network measures included:
Outdegree, Indegree, Betweenness, Eigenvector, Outstrength, Instrength
Behavioral variables:
Grooming, Huddling, Aggression
Abbreviations defined:
DR, DC, GO, GI, GB, GE, HD, HB, HE, ADO, ADI, ASO, ASI
Price: 8 / 10 USD
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2016
Region / City:
Cyprus
Subject:
Employment, Disability, Occupational Status, Unemployment
Document Type:
Research Paper
Organization:
American College, Nicosia
Author:
Andreas Petasis
Target Audience:
Researchers, policymakers, disability advocates
Period of Validity:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2023
Region / city:
Global
Subject:
Postoperative biomarkers, colorectal cancer
Document Type:
Research data
Institution:
Various research institutions
Author:
Multiple authors
Target Audience:
Researchers, medical professionals
Effective Period:
N/A
Approval Date:
24.02.2023
Revision Date:
N/A
Note:
Contextual description
Year:
2012
Region / City:
Not specified
Field:
Nursing, Healthcare
Document Type:
Research Article
Organization / Institution:
Journal of Nurses in Staff Development
Author:
Bratt & Felzer
Target Audience:
Healthcare professionals, researchers
Period of Action:
2005-2008
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2014-2016
Region / City:
Pune
Topic:
Acute Flaccid Paralysis, Clinical outcomes, Pediatrics
Document Type:
Research Study
Institution / Organization:
B.J. Medical College and Sassoon General Hospital
Author:
Dr. Anagha Kulkarni, Dr. Ninad Patil, Dr. Rajesh Kulkarni, Dr. Harshali Vankar, Dr. Rahul Dawre, Dr. Uday Rajput, Dr. Aarti Kinikar
Target Audience:
Healthcare professionals, Pediatricians, Neurologists
Period of Validity:
Not Applicable
Approval Date:
Not Specified
Date of Changes:
Not Specified
Year:
2008-2009
Region / Institution:
United States, specific college
Topic:
Statistics, Multiple Regression, Categorical Variables
Document Type:
Educational Activity / Lesson
Author:
Not specified
Target Audience:
Students in statistics or data analysis courses
Dataset:
Salaries dataset from R car package
Variables Covered:
rank, discipline, yrs.since.phd, yrs.service, sex, salary
Methodology:
Use of indicator (dummy) variables in regression
Examples Included:
Binary categorical predictor, multiple category predictor
Practical Exercises:
Regression modeling and interpretation exercises
Software / Tools:
R programming language, ggplot2, car package
Note:
Year
Contextual description:
A collection of linear regression models analyzing the relationship between CogState tasks and various SRC symptoms, including somatic, cognitive, emotional, and sleep-related symptoms, based on data collected 24 hours and one week post-injury.
Year:
2023
Region / City:
United Kingdom, Iceland, Portugal, Spain, The Netherlands, Italy, Sweden
Topic:
Renal Cell Carcinoma, Surgical Follow-Up
Document Type:
Research Study
Organization / Institution:
Royal Free London NHS Foundation Trust, University of Rennes, University College London, University of Bergen, University Medical Center Utrecht, University of Cambridge, Queen Mary University of London, Umeå University
Author:
Neves JB, Vanaclocha Saiz L, Abu-Ghanem Y, Marchetti M, Tran-Dang MA, El-Sheikh S, Barod R, Beisland C, Capitanio U, Cullen D, Klatte T, Ljungberg B, Mumtaz F, Patki P, Stewart GD, Dabestani S, Tran MGB, Bex A
Target Audience:
Medical professionals, Researchers in oncology, Urologists
Period of Action:
2015-2019
Approval Date:
2023
Modification Date:
N/A
Year:
2026
Region / city:
International multicenter
Topic:
Cardiology, Hematology
Document type:
Supplementary tables and figures
Institution:
GARFIELD-AF and ORBIT-AF study groups
Authors:
Multi-center registry investigators
Target audience:
Clinicians, researchers
Study period:
2 years follow-up
Data collection:
Patient registries
Patient population:
Adults with atrial fibrillation receiving oral anticoagulants
Measured outcomes:
Incidence of intracranial hemorrhage, baseline characteristics, treatment type, comorbidities, vital signs
Data analysis:
Risk factor association with intracranial hemorrhage
Treatment types:
NOAC, VKA, concomitant antiplatelet therapy
Year:
2026
Region:
Global
Topic:
Ecological modeling / Species distribution
Document type:
Supplementary table
Source institution:
Research study
Authors:
Not specified
Target audience:
Ecologists, conservation scientists, statisticians
Methodology:
Hierarchical partitioning of variance
Species analyzed:
AMOY, BACS, DT, EDR, EIS, PABU, RCWO, SESP, WIPL, WOST
Predictors included:
Land cover, elevation, vegetation height, fire, water, urbanization, canopy, precipitation, topographic indices
Year:
2026
Region / city:
Unknown
Topic:
Medical predictive modeling
Document type:
Research paper
Organization / institution:
Unknown
Author:
Unknown
Target audience:
Healthcare professionals, researchers
Period of validity:
Not specified
Approval date:
Not specified
Date of changes:
Not specified
Methodology:
Logistic regression analysis
Data source:
Hospital readmission data
Variables considered:
Race, prior hospitalization, microbiology, hospital events, etc.
Statistical tools:
Odds ratio (OR), confidence intervals (CI), AUROC
Findings:
Identification of key predictors for 30-day readmission risk
Keywords:
Predictors, readmission, healthcare, statistics, model
Year:
2024
Date:
August 22, 2024
Region / Country:
United States
Topic:
Secondary transition education and post-school outcomes for students with disabilities
Document Type:
Webinar transcript / professional development presentation
Organization:
National Technical Assistance Center on Transition: The Collaborative (NTACT:C)
Institutions:
University of North Carolina at Charlotte; University of Kansas
Speakers:
Catherine Fowler; Valerie Mazzotti
Affiliated Researchers Mentioned:
Dawn Rowe; David Test
Field:
Special education and transition services
Research Focus:
Predictors of post-school success and evidence-based practices
Target Audience:
Educators, transition specialists, vocational rehabilitation counselors, and education agencies
Subject Population:
Students and youth with disabilities
Referenced Publication:
Mazzotti et al., 2021 predictor research article
Program Context:
Secondary transition programs and systems change initiatives in education
Key Concepts:
evidence-based practices, predictors of post-school success, work-based learning, self-determination, transition program evaluation