Search results for "Logistic regression"
showing 10 items of 835 documents
Transfers of care between healthcare professionals in obstetric units of different sizes across spain and in a hospital in Ireland: The midconbirth s…
2020
Background: In Europe, the majority of healthy women give birth at conventional obstetric units with the assistance of registered midwives. This study examines the relationships between the intrapartum transfer of care (TOC) from midwife to obstetrician-led maternity care, obstetric unit size (OUS) with different degrees of midwifery autonomy, intrapartum interventions and birth outcomes. Methods: A prospective, multicentre, cross-sectional study promoted by the COST Action IS1405 was carried out at eight public hospitals in Spain and Ireland between 2016&ndash
Markers of Anemia in Children with Type 1 Diabetes
2018
Aim. The aim of the study was to assess markers of anemia in type 1 diabetes (T1D) children, compare them to results obtained in the control group, and estimate their relation to BMI SDS. Methods. 94 (59% ♀) T1D children without other autoimmune disorders, aged 12.5 ± 4.1 years, T1D duration: 4.2 ± 3.6 years, HbA1c 7.3 ± 1.5% (57 ± 12.6 mmol/mol). Sex- and age-matched controls (43 children). In all children, anthropometric measurements, the blood count, iron turnover parameters, and vitamin B12 concentration were taken. Results. T1DM children had significantly higher red cell distribution width (RDW) (13.6 versus 12.6%; p<0.001), hepcidin (0.25 versus 0.12 ng/ml; p<0.001), and vitamin…
Sustainable Mobility Planning in the Tourist Centres: the Estimation of Transport Demand.
2008
This paper on sustainable mobility planning in tourist centers is from the proceedings of 14th international Conference on Urban Transport and the Environment in the 21st Century, which was held in Malta in 2008. The authors focus on estimating the potential non-motorized transport demand and to design the supply of sustainable modes of transportation, including public transit, bicycling and walking. The authors use the tourist area of San Vito Lo Capo, the famous historical and swimming center of Sicily, as a case example. They conducted a stated preference survey in June-July 2006 to evaluate the potential demand of non-motorized transport modes, primarily bicycling, then calibrated a mul…
A comparison of three statistical methods for analysing extinction threat status
2013
SUMMARYThe International Union for Conservation of Nature (IUCN) Red List provides a globally-recognized evaluation of the conservation status of species, with the aim of catalysing appropriate conservation action. However, in some parts of the world, species data may be lacking or insufficient to predict risk status. If species with shared ecological or life history characteristics also tend to share their risk of extinction, then ecological or life history characteristics may be used to predict which species may be at risk, although perhaps not yet classified as such by the IUCN. Statistical models may be a means to determine whether there are non-threatened or unclassified species that s…
Dual Extrapolation for Sparse Generalized Linear Models
2020
International audience; Generalized Linear Models (GLM) form a wide class of regression and classification models, where prediction is a function of a linear combination of the input variables. For statistical inference in high dimension, sparsity inducing regularizations have proven to be useful while offering statistical guarantees. However, solving the resulting optimization problems can be challenging: even for popular iterative algorithms such as coordinate descent, one needs to loop over a large number of variables. To mitigate this, techniques known as screening rules and working sets diminish the size of the optimization problem at hand, either by progressively removing variables, o…
Bayesian Analysis of Population Health Data
2021
The analysis of population-wide datasets can provide insight on the health status of large populations so that public health officials can make data-driven decisions. The analysis of such datasets often requires highly parameterized models with different types of fixed and random effects to account for risk factors, spatial and temporal variations, multilevel effects and other sources on uncertainty. To illustrate the potential of Bayesian hierarchical models, a dataset of about 500,000 inhabitants released by the Polish National Health Fund containing information about ischemic stroke incidence for a 2-year period is analyzed using different types of models. Spatial logistic regression and…
The Election of the Big 4 Audit Firms In Mexico An Empirical Analysis (2000-2007)
2015
In this article, we present the results of an empirical study on the factors that determine the election of the Big 4 in Mexico during the period from 2000 to 2007. To this purpose, we have estimated a logistic regression model using a sample of companies listed on the Mexico Stock Exchange and its financial statements audited by an independent auditor. The results indicate that corporate features such as; the presence of controlling shareholders, the debt level, the presence of foreign investors, business size and requirement for additional services by audited companies are some of the factors determining the election of the Big 4 in Mexico.
Does Methodology Determine the Identification of Stock Split Motivations?: Evidence from Spain
2006
This study investigates the robustness of the results obtained for the possible motivations for firms listed on the Spanish stock market to execute a stock split using different methodologies. Although surveys from executives emphasize the use of stock splits as a way to increase the liquidity of shares, the empirical evidence is not conclusive. Our results, taken from the logit regression, the Kaplan-Meier method, the Cox regression and the automatic interaction detection, all support the hypotheses of signalling and optimal range.
Predicting who fails to meet the physical activity guideline in pregnancy: a prospective study of objectively recorded physical activity in a populat…
2016
Background A low physical activity (PA) level in pregnancy is associated with several adverse health outcomes. Early identification of pregnant women at risk of physical inactivity could inform strategies to promote PA, but no studies so far have presented attempts to develop prognostic models for low PA in pregnancy. Based on moderate-to-vigorous intensity PA (MVPA) objectively recorded in mid/late pregnancy, our objectives were to describe MVPA levels and compliance with the PA guideline (≥150 MVPA minutes/week), and to develop a prognostic model for non-compliance with the PA guideline. Methods From a multi-ethnic population-based cohort, we analysed data from 555 women with MVPA recorde…
Functional Data Analysis in NTCP Modeling: A New Method to Explore the Radiation Dose-Volume Effects
2014
Purpose/Objective(s) To describe a novel method to explore radiation dose-volume effects. Functional data analysis is used to investigate the information contained in differential dose-volume histograms. The method is applied to the normal tissue complication probability modeling of rectal bleeding (RB) for patients irradiated in the prostatic bed by 3-dimensional conformal radiation therapy. Methods and Materials Kernel density estimation was used to estimate the individual probability density functions from each of the 141 rectum differential dose-volume histograms. Functional principal component analysis was performed on the estimated probability density functions to explore the variatio…