scholarly journals A revised logistic regression equation and an automated procedure for mapping the probability of a stream flowing perennially in Massachusetts

2006 ◽  
Author(s):  
Gardner C. Bent ◽  
Peter A. Steeves
Keyword(s):  
Logistic Regression ◽  
Regression Equation ◽  
Logistic Regression Equation

scholarly journals Logistic regression model to predict acute uncomplicated and complicated appendicitis

2019 ◽  
Vol 101 (2) ◽  
pp. 107-118 ◽  
Author(s):  
MMR Eddama ◽  
KC Fragkos ◽  
S Renshaw ◽  
M Aldridge ◽  
G Bough ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Multivariate Analysis ◽  
Odds Ratio ◽  
Web Application ◽  
Univariate Analysis ◽  
Complicated Appendicitis ◽  
Regression Equation ◽  
Normal Appendix ◽  
Uncomplicated Appendicitis ◽  
Logistic Regression Equation

Introduction While patients with acute uncomplicated appendicitis may be treated conservatively, those who suffer from complicated appendicitis require surgery. We describe a logistic regression equation to calculate the likelihood of acute uncomplicated appendicitis and complicated appendicitis in patients presenting to the emergency department with suspected acute appendicitis. Materials and methods A cohort of 895 patients who underwent appendicectomy were analysed retrospectively. Depending on the final histology, patients were divided into three groups; normal appendix, acute uncomplicated appendicitis and complicated appendicitis. Normal appendix was considered the reference category, while acute uncomplicated appendicitis and complicated appendicitis were the nominal categories. Multivariate and univariate regression models were undertaken to detect independent variables with significant odds ratio that can predict acute uncomplicated appendicitis and complicated appendicitis. Subsequently, a logistic regression equation was generated to produce the likelihood acute uncomplicated appendicitis and complicated appendicitis. Results Pathological diagnosis of normal appendix, acute uncomplicated appendicitis and complicated appendicitis was identified in 188 (21%), 525 (59%) and 182 patients (20%), respectively. The odds ratio from a univariate analysis to predict complicated appendicitis for age, female gender, log2 white cell count, log2 C-reactive protein and log2 bilirubin were 1.02 (95% confidence interval, CI, 1.01, 1.04), 2.37 (95% CI 1.51, 3.70), 9.74 (95% CI 5.41, 17.5), 1.57 (95% CI 1.40, 1.74), 2.08 (95% CI 1.56, 2.76), respectively. For the same variable, similar odds ratios were demonstrated in a multivariate analysis to predict complicated appendicitis and univariate and multivariate analysis to predict acute uncomplicated appendicitis. Conclusions The likelihood of acute uncomplicated appendicitis and complicated appendicitis can be calculated by using the reported predictive equations integrated into a web application at www.appendistat.com. This will enable clinicians to determine the probability of appendicitis and the need for urgent surgery in case of complicated appendicitis.

scholarly journals A multivariable logistic regression equation to evaluate prostate cancer

2011 ◽  
Vol 110 (11) ◽  
pp. 695-700 ◽  
Author(s):  
Jhih-Cheng Wang ◽  
Steven K. Huan ◽  
Jinn-Rung Kuo ◽  
Chin-Li Lu ◽  
Hung Lin ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Logistic Regression ◽  
Regression Equation ◽  
Multivariable Logistic Regression ◽  
Logistic Regression Equation

A Predictive Logistic Regression Equation for Neck Pain in Helicopter Aircrew

2012 ◽  
Vol 83 (6) ◽  
pp. 604-608 ◽  
Author(s):  
Michael F. Harrison ◽  
J. Patrick Neary ◽  
Wayne J. Albert ◽  
James C. Croll
Keyword(s):  
Logistic Regression ◽  
Neck Pain ◽  
Regression Equation ◽  
Logistic Regression Equation

scholarly journals Pengaruh Jumlah Anggota, Size, Likuiditas, dan Rentabilitas Koperasi terhadap Permintaan Jasa Audit Eksternal

2019 ◽  
Vol 8 (2) ◽  
pp. 125
Author(s):  
Fikri Rizki Utama
Keyword(s):  
Logistic Regression ◽  
Significant Influence ◽  
Sampling Method ◽  
Regression Equation ◽  
External Audit ◽  
Purposive Sampling ◽  
The City ◽  
Size Variable ◽  
Logistic Regression Equation

The purpose of this research is to empirically examine the influence of the number of members of the cooperative, size, liquidity, and rentability of cooperatives to demand external audit services. This study uses a sample of Cooperative Employees (Kopkar) in the city of Bandar Lampung during 2009-2011 using purposive sampling method. The analysis in this study uses logistic regression equation. The result of this study found that the size variable has a significant influence on the demand for external audit services. While the variable of a number of cooperative members, liquidity, and rentability do not significantly influence the demand for external audit services.Keywords: Request for External Audit Services, Cooperative of Employees,�Number of cooperative members, Size, Liquidity, and Rentability.

A survival prediction model of hemorrhagic shock in rats using a logistic regression equation

2009 ◽  
Author(s):  
Tak Hyung Lee ◽  
Ju Hyung Lee ◽  
Sang Won Chung ◽  
Hyung Wook Noh ◽  
Young Woo Shim ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Prediction Model ◽  
Hemorrhagic Shock ◽  
Regression Equation ◽  
Survival Prediction ◽  
Logistic Regression Equation

scholarly journals Quasi-likelihood techniques in a logistic regression equation for identifying Simulium damnosum s.l. larval habitats intra-cluster covariates in Togo

2012 ◽  
Vol 15 (2) ◽  
pp. 117-133 ◽  
Author(s):  
Benjamin G. JACOB ◽  
Robert J. NOVAK ◽  
Laurent TOE ◽  
Moussa S. SANFO ◽  
Abena N. AFRIYIE ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Equation ◽  
Larval Habitats ◽  
Simulium Damnosum ◽  
Logistic Regression Equation

scholarly journals Impact of climate change and natural catastrophe on the occupational changes in the coastal areas of Bangladesh: an empirical study

2018 ◽  
Vol 9 (1) ◽  
pp. 22-37 ◽  
Author(s):  
Nawazeesh Muhammad Ali
Keyword(s):  
Climate Change ◽  
Logistic Regression ◽  
Sea Level ◽  
Binary Logistic Regression ◽  
Coastal Areas ◽  
Regression Equation ◽  
Coastal Regions ◽  
Impact Of Climate Change ◽  
Natural Catastrophe ◽  
Logistic Regression Equation

Occupation of the populace who live in the coastal areas of Bangladesh needs to be changed in the pattern of source of income owing to sea level rise and natural disaster in a cyclical manner and also irregular variations. This is now a great concern for Bangladesh especially in the country’s coastal regions. As such, the research question relates to assessing the impact of climate change and natural catastrophe on the occupational changes in the coastal areas of Bangladesh. This study explored using both primary and secondary sources. The study had been conducted from May to December 2017. The study found that climate change was causing sea level raising and created salinity problem in the coastal areas, which has caused change of the occupational changes. Salinity problem had caused damage of most of the agricultural production, fisheries and household. The binary logistic regression equation indicated that occupational change was due to climate change and natural catastrophe that also depend on socio-economic situation of the people of that area of the country. From another binary logistic regression equation, it was found that occupational change also depends on the various demographic factors and if the personal position of the respondents is changed then it will occur. Each year in coastal areas, people are permanently and temporarily dispersed because of global warming in Bangladesh. The country should take effective steps in the coastal areas to diminish climate change threat and also control over its phenomenon. Those who are responsible internally to increase climate change should be supported by creating employment opportunities for affecting community development as suggested by the researcher. To reduce natural catastrophe, more trees should be planted in the coastal regions, and there is a need in balanced development at urban and rural areas without destroying nature.

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