Predicting Structural Deterioration Condition of Individual Storm-Water Pipes Using Probabilistic Neural Networks and Multiple Logistic Regression Models

2009 ◽  
Vol 135 (6) ◽  
pp. 553-557 ◽  
Author(s):  
H. D. Tran ◽  
B. J. C. Perera ◽  
A. W. M. Ng
Keyword(s):  
Neural Networks ◽  
Logistic Regression ◽  
Regression Models ◽  
Storm Water ◽  
Multiple Logistic Regression ◽  
Probabilistic Neural Networks ◽  
Logistic Regression Models ◽  
Water Pipes ◽  
Structural Deterioration

scholarly journals Aplicación de modelos de regresión logística en metodología observacional: modalidades de competición en la iniciación al fútbol.

2015 ◽  
Vol 32 (1) ◽  
pp. 288 ◽  
Author(s):  
Daniel Lapresa ◽  
Javier Arana ◽  
M.Teresa Anguera ◽  
J.Ignacio Pérez-Castellanos ◽  
Mario Amatria
Keyword(s):  
Physical Activity ◽  
Logistic Regression ◽  
Regression Model ◽  
Regression Models ◽  
Logistic Regression Model ◽  
Multiple Logistic Regression ◽  
Observational Methodology ◽  
Logistic Regression Models ◽  
Game Format ◽  
Simple Logistic

This study shows how simple and multiple logistic regression can be used in observational methodology and more specifically, in the fields of physical activity and sport. We demonstrate this in a study designed to determine whether three-a-side futsal or five-a-side futsal is more suited to the needs and potential of children aged 6-to-8 years. We constructed a multiple logistic regression model to analyze use of space (depth of play) and three simple logistic regression models to determine which game format is more likely to potentiate effective technical and tactical performance.

scholarly journals 1400Central but not general obesity is positively associated with risk of hyperhomocysteinemia in middle-aged women

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Yingying Wang
Keyword(s):  
Cardiovascular Disease ◽  
Logistic Regression ◽  
Regression Models ◽  
Central Obesity ◽  
Multiple Logistic Regression ◽  
Obese Women ◽  
General Obesity ◽  
Middle Aged ◽  
Logistic Regression Models ◽  
The Relationship

Abstract Background Obesity and homocysteine (Hcy) are two important risk factors for cardiovascular disease (CVD); however, there were conflicting results for the relationship between them. Our study is to explore the associations of general and central obesity with hyperhomocysteinemia (HHcy) in middle-aged women. Methods The current analysis was based on data from 11007 women aged 40-60 years. Height, weight, and waist circumference (WC) were measured and serum homocysteine was determined. Multiple logistic regression models were used to assess the associations of the risk of hyperhomocysteinemia (HHcy, Hcy>15μmol/L) with BMI and WC. Results 13.71% women had HHcy. The prevalences of BMI-based general obesity and WC-based central obesity were 11.17% and 22.88%, respectively. Compared with non-obese women, the mean serum Hcy concentration was significantly higher in WC-based central obese women (P = 0.002), but not in BMI-based general obese women (P > 0.05). In the multiple logistic regression models, central obesity was positively related to the risk of HHcy (OR = 1.30, 95%CI=1.10 to 1.52), while general obesity was inversely related to the risk of HHcy (OR = 0.82, 95%CI=0.72 to 0.93 and OR = 0.71,95% CI = 0.57 to 0.89). Conclusions Central obesity was positively, while general obesity was negatively related to the risk of HHcy. Menopause showed no effect modification on these associations. Key messages Homocysteine; Central obesity; Menopause; Cardiovascular Disease

Use of Logistic Regression for Developing Risk-adjusted Quality Indicators in Nursing

2010 ◽  
Vol 49 (06) ◽  
pp. 608-612 ◽  
Author(s):  
D. Renner ◽  
B. Fischer ◽  
M. Kutschmann
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Quality Indicators ◽  
Regression Models ◽  
Pressure Ulcers ◽  
Logistic Function ◽  
Multiple Logistic Regression ◽  
Logistic Regression Models ◽  
Joint Influence ◽  
Developed Pressure

Summary Objectives: A low rate of newly developed pressure ulcers is considered as an important quality indicator in nursing. However, the result of a hospital depends not only on the quality of care but on the risk profile of its patients as well. Therefore, based on multiple logistic regression models we describe a method for calculating risk-adjusted quality indicators in nursing. Method: Based on data of 1,009,989 patients from 1747 hospitals in 2009, we developed two multiple logistic regression models to identify and to weigh a possible joint influence of several risk factors on newly developed pressure ulcers. In a further step, we calculated risk-adjusted rates. Results: Factors remaining in the regression models were “micro-movements on admission”, “diabetes mellitus”, “age” and “days on intensive care unit”. Based on the corresponding regression coefficients and the logistic function, the expected rate of newly developed pressure ulcers was calculated for every hospital. Fi nally, expected rates and observed rates both were used to calculate risk-adjusted rates. Conclusion: The simultaneous consideration of relevant risk factors by means of risk- adjusted quality indicators ensures a fair comparison of hospitals.

scholarly journals THE MODE CHOICES AND COMMUTING STRESS: EMPIRICAL EVIDENCE FROM JAKARTA AND DENPASAR

2019 ◽  
Vol 7 (1) ◽  
pp. 68
Author(s):  
Ismatulloh Rosida ◽  
Dyah Wulan Sari ◽  
Amelia Dertta Irjayanti
Keyword(s):  
Logistic Regression ◽  
Public Transport ◽  
Regression Models ◽  
Toll Roads ◽  
Multiple Logistic Regression ◽  
Logistic Regression Models ◽  
High Impedance ◽  
Logistic Regressions ◽  
Using Data ◽  
The Relationship

Jabodetabek and Sarbagita have the highest worker commuter population in Indonesia. However, Jabodetabek has various and larger coverage of public transport than Sarbagita. This study also analyzes the relationship between the usage of specific transport modes and commuting stress. Multiple logistic regression models have been estimated using data of both Jabodetabek Commuter Survey and Sarbagita Commuter Survey. Using logistic regressions, the results show that mode choices, gender, and travel time have a significant effect on commuting stress. The analysis also indicates that both in high impedance and low impedance metropolitans, car commuting is perceived to be more stressful than non-car commuting. In a condition of restricted mode choices, commuters who use cars have a greater probability of commuting stress. Furthermore, the findings of this study imply limitation of car usage and as an evaluation of the policy of opening toll roads as a solution to urban congestion.

scholarly journals Association of biomass fuel smoke with respiratory symptoms among children under 5 years of age in urban areas: results from Bangladesh Urban Health Survey, 2013

2019 ◽  
Vol 24 (1) ◽  
Author(s):  
Md. Hasan ◽  
Sadia Tasfina ◽  
S. M. Raysul Haque ◽  
K. M. Saif-Ur-Rahman ◽  
Md. Khalequzzaman ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Urban Health ◽  
Health Survey ◽  
Regression Models ◽  
Respiratory Symptoms ◽  
Smoke Exposure ◽  
Biomass Fuel ◽  
Multiple Logistic Regression ◽  
Logistic Regression Models ◽  
Children Under 5

Abstract Background Little is known regarding the effect of exposure to biomass fuel smoke inhalation on respiratory symptoms in the Bangladeshi population which is a major health hazard in most of the developing countries. This study aims to explore the association between respiratory symptoms and biomass fuel smoke exposure among children under 5 years of age. Methods Data were extracted from the Bangladesh Urban Health Survey conducted in 2013. A total of 10,575 mothers with at least one surviving children were selected. Respiratory symptoms among children under 5 years of age were considered as the primary outcome. Sequential multiple logistic regression models were used to observe the association between respiratory symptoms and biomass fuel smoke exposure adjusting the effect of residential factors and mother and child characteristics. Results Around 40% of the mothers exclusively used biomass fuel irrespective of the kitchen location and 54% of them were habituated in indoor cooking. The prevalence of respiratory symptoms of under-five children among in-house and outdoor biomass fuel users was 23.0% and 21.9%, respectively. Results of fitted multiple logistic regression models showed that the odds of having respiratory symptoms among children under 5 years of age were increased due to in-house biomass fuel use [OR = 1.18; 95% CI, 1.04–1.36] compared with the non-biomass user. An increased risk of respiratory symptoms was also significantly associated with mother’s birth complication [OR = 1.51; 95% CI, 1.36–1.67], non-government organization (NGO) membership of mothers [OR = 1.32; 95% CI, 1.16–1.51], age of the child (6–23m) [OR = 1.29; 95% CI, 1.10–1.52], and nutritional status (stunting) [OR = 1.18; 95% CI, 1.06–1.31]. Conclusion This study found the use of in-house biomass fuel as a significant risk factor associated with respiratory symptoms of children under 5 years of age. More longitudinal studies should be designed to establish a causal relationship between HAP (household air pollution) and respiratory symptoms among children with more direct measures of HAP and clinical procedure.

scholarly journals Optimization of Game Formats in U-10 Soccer Using Logistic Regression Analysis

2016 ◽  
Vol 54 (1) ◽  
pp. 163-171 ◽  
Author(s):  
Mario Amatria ◽  
Daniel Lapresa ◽  
Javier Arana ◽  
M. Teresa Anguera ◽  
Belén Garzón
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Age Groups ◽  
Soccer Players ◽  
Learning Needs ◽  
Multiple Logistic Regression ◽  
Logistic Regression Models ◽  
Game Format ◽  
The Creation ◽  
Simple Logistic

AbstractSmall-sided games provide young soccer players with better opportunities to develop their skills and progress as individual and team players. There is, however, little evidence on the effectiveness of different game formats in different age groups, and furthermore, these formats can vary between and even within countries. The Royal Spanish Soccer Association replaced the traditional grassroots 7-a-side format (F-7) with the 8-a-side format (F-8) in the 2011-12 season and the country’s regional federations gradually followed suit. The aim of this observational methodology study was to investigate which of these formats best suited the learning needs of U-10 players transitioning from 5-aside futsal. We built a multiple logistic regression model to predict the success of offensive moves depending on the game format and the area of the pitch in which the move was initiated. Success was defined as a shot at the goal. We also built two simple logistic regression models to evaluate how the game format influenced the acquisition of technicaltactical skills. It was found that the probability of a shot at the goal was higher in F-7 than in F-8 for moves initiated in the Creation Sector-Own Half (0.08 vs 0.07) and the Creation Sector-Opponent's Half (0.18 vs 0.16). The probability was the same (0.04) in the Safety Sector. Children also had more opportunities to control the ball and pass or take a shot in the F-7 format (0.24 vs 0.20), and these were also more likely to be successful in this format (0.28 vs 0.19).

scholarly journals 409. High Engagement in Social Distancing and Mask Wearing and Associations with Reduced COVID-19 Infection Among California College Students

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S306-S306
Author(s):  
Lindsey Walicek ◽  
Annette Regan ◽  
Kelly L’Engle ◽  
Marie-Claude Couture
Keyword(s):  
College Students ◽  
Logistic Regression ◽  
Regression Models ◽  
Online Survey ◽  
Face Mask ◽  
Multiple Logistic Regression ◽  
Preventive Behaviors ◽  
Lower Odds ◽  
Social Distancing ◽  
Logistic Regression Models

Abstract Background Engaging in preventive behaviors, including face mask wearing and social distancing, has been widely recommended, and in some cases mandated, to limit the spread of the COVID-19 disease. Despite wide-scale use, there is little data available on engagement of mask wearing and social distancing in college students and associated COVID-19 infection. Methods A school-wide online survey was conducted (2021) among university students (n=2,132) in California. Frequency of mask-wearing and social distancing (indoors or public settings) and diagnosis with COVID-19 infection were measured. Multiple logistic regression models assessed associations between i) mask-wearing and ii) social distancing and COVID-19 infection, controlling for race, age, gender, and living with people who have high-risk health conditions. Results Fourteen percent (14.06%) reported previous COVID-19 infection. Most students reported wearing masks in public settings (77.9%) and indoors (58%). About half (49.9%) reported social distancing in public settings and 44.9% indoors. In multiple logistic regression models, wearing a mask indoors was associated with 30% lower odds of COVID-19 infection (OR= 0.70; 95% CI: 0.54,0.91) but no statistically significant association was observed for wearing a mask outdoors (OR= 0.80; 95% CI: 0.59,1.08). Social distancing indoors and outdoors was associated with a 34% (OR= 0.66; 95% CI: 0.50,0.86) and 32% (OR= 0.68; 95% CI: 0.52,0.88) decrease in the odds of infection, respectively. COVID-19 infection declined as the number of preventive behaviors a student engaged in increased. Compared to those who engaged in no preventive behavior, the odds of infection were 0.71 (95% CI: 0.46,1.11) among students engaging in one behavior, 0.70 (95% CI: 0.46,1.07) in two behaviors, 0.42 (95% CI: 0.25,0.70) in three behaviors, and 0.48 (95% CI: 0.31,0.74) among those who engaged in all four behaviors. Conclusion Wearing face masks and social distancing were both associated with lower odds of COVID-19 infection. The more preventive behaviors students engaged in the less frequently they reported COVID-19 infection. Our findings support existing guidelines promoting mask wearing and social distancing to limit the spread of COVID-19 disease. Disclosures All Authors: No reported disclosures

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