scholarly journals Estimación de la severidad en incendios forestales a partir de datos LiDAR-PNOA y valores de Composite Burn Index

2017 ◽  
pp. 1 ◽  
Author(s):  
A. L. Montealegre ◽  
M. T. Lamelas ◽  
M. A. Tanase ◽  
J. De la Riva
Keyword(s):  
Regression Models ◽  
Wildland Fire ◽  
Fire Severity ◽  
Light Detection And Ranging ◽  
Landsat Thematic Mapper ◽  
National Plan ◽  
Logistic Regression Models ◽  
Independent Variables ◽  
Mediterranean Pine ◽  
Relief Ratio

Mediterranean pine forests in Spain experience wildland fire events with different frequencies, intensities, and severities. An estimation of the fire severity as accurate as possible is required by forest managers to decide which strategy is most appropriate to mitigate the effect of fire. The aim of this research is to estimate the post-fire severity, relating a pool of independent variables derived from the LiDAR (Light Detection And Ranging) points clouds delivered by the National Plan for Aerial Orthophotography (PNOA) to field data based on Composite Burn Index collected in four fires located in Aragón (Spain). Logistic regression models were developed and statistically tested and validated to map fire severity with up to 85.5% accuracy. The canopy relief ratio and the percentage of all returns above one meter height were the most significant variables. In addition, the obtained results are compared to different spectral indices derived from Landsat Thematic Mapper.

scholarly journals Sonographic Cervical Shortening after Labor Induction is a Predictor of Vaginal Delivery

2016 ◽  
Vol 38 (12) ◽  
pp. 585-588 ◽  
Author(s):  
Ugo Indraccolo ◽  
Gennaro Scutiero ◽  
Pantaleo Greco
Keyword(s):  
Logistic Regression ◽  
Vaginal Delivery ◽  
Regression Models ◽  
Operating Characteristic ◽  
Roc Curves ◽  
Cervical Length ◽  
Labor Induction ◽  
Logistic Regression Models ◽  
Independent Variables ◽  
Sonographic Evaluation

Objective Analyzing if the sonographic evaluation of the cervix (cervical shortening) is a prognostic marker for vaginal delivery. Methods Women who underwent labor induction by using dinoprostone were enrolled. Before the induction and three hours after it, the cervical length was measured by ultrasonography to obtain the cervical shortening. The cervical shortening was introduced in logistic regression models among independent variables and for calculating receiver operating characteristic (ROC) curves. Results Each centimeter in the cervical shortening increases the odds of vaginal delivery in 24.4% within 6 hours; in 16.1% within 24 hours; and in 10.5% within 48 hours. The best predictions for vaginal delivery are achieved for births within 6 and 24 hours, while the cervical shortening poorly predicts vaginal delivery within 48 hours. Conclusion The greater the cervical shortening 3 hours after labor induction, the higher the likelihood of vaginal delivery within 6, 24 and 48 hours.

scholarly journals Can Cut-Off-Values for Tumor Size or Patient Age in Breast Ultrasound Reduce Unnecessary Biopsies or is it all About Bi-rads?– A Retrospective Analysis of 763 Biopsied T1-Sized Lesions

2017 ◽  
Vol 03 (03) ◽  
pp. E94-E98 ◽  
Author(s):  
Laura Holzer-Fruehwald ◽  
Matthias Meissnitzer ◽  
Michael Weber ◽  
Stephan Holzer ◽  
Klaus Hergan ◽  
...  
Keyword(s):  
Regression Models ◽  
Breast Lesion ◽  
Binary Logistic Regression ◽  
Lesion Size ◽  
Breast Lesions ◽  
Predictive Values ◽  
Logistic Regression Models ◽  
Independent Variables ◽  
Oval Shape ◽  
Histological Result

Abstract Aims and Objectives To assess whether it is possible to establish a size cut-off-value for sonographically visible breast lesions in a screening situation, under which it is justifiable to obviate a biopsy and to evaluate the grayscale characteristics of the identified lesions. Materials and Methods Images of sonographically visible and biopsied breast lesions of 684 patients were retrospectively reviewed and assessed for the following parameters: size, shape, margin, lesion boundary, vascularity, patient’s age, side of breast, histological result, and initial BI-RADS category. Statistical analyses (t-test for independent variables, ROC analyses, binary logistic regression models, cross-tabulations, positive/negative predictive values) were performed using IBM SPSS (Version 21.0). Results Of all 763 biopsied lesions, 223 (29.2%) showed a malignant histologic result, while 540 (70.8%) were benign. Although we did find a statistically significant correlation of malignancy and lesion size (p=0.031), it was not possible to define a cut-off value, under which it would be justifiable to obviate a biopsy in terms of sensitivity and specificity (AUC: 0.558) at any age. Lesions showing the characteristics of a round or oval shape, a sharp delineation and no echogenic rim (n=112) were benign with an NPV of 99.1%. Conclusion It is not possible to define a cut-off value for size or age, under which a biopsy of a sonographically visible breast lesion can be obviated in the screening situation. The combination of the 3 grayscale characteristics, shape (round or oval), margin (circumscribed) and no echogenic-rim sign, showed an NPV of 99.1%. Therefore, it seems appropriate to classify such lesions as BI-RADS 2.

scholarly journals Association of Fatigue With Sarcopenia and its Elements: A Secondary Analysis of SABE-Bogotá

2017 ◽  
Vol 3 ◽  
pp. 233372141770373 ◽  
Author(s):  
Daniela Patino-Hernandez ◽  
David Gabriel David-Pardo ◽  
Miguel Germán Borda ◽  
Mario Ulises Pérez-Zepeda ◽  
Carlos Cano-Gutiérrez
Keyword(s):  
Regression Models ◽  
Handgrip Strength ◽  
Secondary Analysis ◽  
Adverse Outcomes ◽  
Multiple Logistic Regression ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Independent Variables ◽  
Confounding Variables ◽  
Aging Adults

Objective: Sarcopenia, fatigue, and depression are associated with higher mortality rates and adverse outcomes in the aging population. Understanding the association among clinical variables, mainly symptoms, is important for screening and appropriately managing these conditions. The aim of this article is to evaluate the association among sarcopenia and its elements with depression and fatigue. Method: We used cross-sectional data from 2012 SABE ( Salud, Bienestar y Envejecimiento)-Bogotá study, which included 2,000 participants of ages ≥60 years. Sarcopenia and its elements were taken as the dependent variable, while fatigue and depression were the main independent variables. We tested the association among these through multiple logistic regression models, which were fitted for each dependent variable and adjusted for confounding variables. Results: Our findings showed that gait speed was associated with fatigue (adjusted odds ratio [OR] = 1.41, 95% confidence interval [CI] = [1.05, 1.90], p = .02) as well as abnormal handgrip strength (adjusted OR = 1.40, 95% CI = [1.02, 1.93], p = .04). No other associations were significant. Conclusion: While sarcopenia and fatigue are not associated, two of the sarcopenia-defining variables are associated with fatigue; this suggests that lack of sarcopenia does not exclude undesirable outcomes related to fatigue in aging adults. Also, the lack of association between sarcopenia-defining elements and depression demonstrates that depression and fatigue are different concepts.

scholarly journals Use of Medicines with Unknown Fetal Risk among Parturient Women from the 2004 Pelotas Birth Cohort (Brazil)

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Andréa Dâmaso Bertoldi ◽  
Tatiane da Silva Dal Pizzol ◽  
Aline Lins Camargo ◽  
Aluísio J. D. Barros ◽  
Alicia Matijasevich ◽  
...  
Keyword(s):  
Birth Cohort ◽  
Skin Color ◽  
Regression Models ◽  
Birth Cohort Study ◽  
White Skin ◽  
Maternal Characteristics ◽  
Logistic Regression Models ◽  
Independent Variables ◽  
Fetal Risk ◽  
Potential Risks

Background. To estimate the exposure to medicines with unknown fetal risk during pregnancy and to analyze the maternal characteristics associated with it.Methods. A questionnaire was administered to 4,189 mothers of children belonging to the 2004 Pelotas (Brazil) birth cohort study about use of any medicine during gestation. We evaluated the associations between use of medicines with unknown fetal risk and the independent variables through logistic regression models. Unknown fetal risk was defined as medicines in which studies in animals have revealed adverse effects on the fetus, and no controlled studies in women, or studies in women and animals, are available.Results. Out of the 4,189 women, 52.5% used at least one medicine from unknown fetal risk. Use of these medicines was associated with white skin color, high schooling, high income, six or more antenatal care consultations, hospital admission during pregnancy, and morbidity during gestation.Conclusion. The use of unknown fetal risk medicines is high, suggesting that their use must be addressed with caution with the aim of restricting their use to cases in which the benefits are greater than the potential risks.

scholarly journals Characterization of fertility levels in Brazil, 1970–2010

2018 ◽  
Author(s):  
Ernesto F. L. Amaral ◽  
Mariana E Almeida ◽  
Guilherme Quaresma Gonçalves
Keyword(s):  
Labor Market ◽  
Regression Models ◽  
Labor Market Participation ◽  
Short Term ◽  
Logistic Regression Models ◽  
Independent Variables ◽  
Market Participants ◽  
The North ◽  
Region Of Residence

Title in Portuguese: Caracterização dos níveis de fecundidade no Brasil, 1970-2010Abstract: We analyze the 1970, 1980, 1991, 2000, and 2010 Brazilian Demographic Censuses, in order to investigate the associated factors with a woman having had a live birth during the year prior to each census. We estimated logistic regression models for women aged 10–49 years. As independent variables, we selected region of residence, rural/urban location, presence of electricity, color/race, religion, marital status, labor market participation, time of residence in the municipality, information about whether they had a stillbirth, age, education, and parity. Our findings confirm that the probability a woman had a child is higher in the North and Northeast regions, as well as in households without electricity. Women that have a greater chance of having had a child are black/brown, Catholic, married, non-labor market participants, short-term migrants, experienced a stillbirth, between 20–29 years of age, have less education, and have higher parity. Patterns have been changing throughout time, thus posing questions for further analyses.Resumo: Analisamos os Censos Demográficos do Brasil de 1970, 1980, 1991, 2000 e 2010, com o objetivo de investigar os fatores associados com a mulher ter tido filho nascido vivo no ano anterior ao censo. Estimamos modelos de regressão logística para mulheres entre 10 e 49 anos. Como variáveis independentes, selecionamos região de residência, localidade rural/urbana, presença de eletricidade, cor/raça, religião, estado conjugal, participação no mercado de trabalho, tempo de residência no município, informação se a mulher teve um filho nascido morto, idade, educação e parturição. Nos resultados confirmam que a probabilidade da mulher ter tido um filho é maior nas regiões Norte e Nordeste, assim como em domicílios com eletricidade. Mulheres que tiveram maior chance de ter tido um filho são pretas/pardas, católicas, casadas, não participantes no mercado de trabalho, migrantes no curto prazo, tiveram filho nascido morto, estão entre 20 e 29 anos de idade, possuem baixa escolaridade e possuem mais filhos. Os padrões têm mudado ao longo do tempo, levantando importantes questões para análises futuras.

Care Practices and Bronchopulmonary Dysplasia Debate

PEDIATRICS ◽  
1987 ◽  
Vol 80 (6) ◽  
pp. 969-970
Author(s):  
JACOB KELLER ◽  
MARY ELLEN AVERY
Keyword(s):  
Logistic Regression ◽  
Birth Weight ◽  
Null Hypothesis ◽  
Regression Models ◽  
Multiple Logistic Regression ◽  
Dummy Variables ◽  
Logistic Regression Models ◽  
Independent Variables ◽  
Care Practices ◽  
The Difference

In Reply.— We appreciate the opportunity to clarify the issues raised by Barry et al. We tested the significance of the differences among centers in the incidence of chronic lung disease, adjusted for sex, race, and birth weight, by computing two multiple logistic regression models. The first model included only sex, race, and birth weight as independent variables. The second model additionally included seven dummy variables representing the eight centers. Twice the difference in the log likelihoods in the two models has a χ2 distribution with 7 df under the null hypothesis of no center differences.

scholarly journals PEMODELAN RISIKO PENYAKIT PNEUMONIA PADA BALITA DI PROVINSI JAWA TIMUR DENGAN PENDEKATAN GEOGRAPHICALLY WEIGHTED LOGISTIC REGRESSION

2015 ◽  
Vol 4 (2) ◽  
pp. 31
Author(s):  
EVI NOVIYANTARI FATIMAH ◽  
I KOMANG GDE SUKARSA ◽  
MADE SUSILAWATI
Keyword(s):  
Logistic Regression ◽  
Spatial Data ◽  
Regression Models ◽  
Logistic Regression Model ◽  
Geographic Location ◽  
Logistic Regression Models ◽  
Independent Variables ◽  
Spatial Factor ◽  
Weighted Logistic Regression ◽  
Geographically Weighted Logistic Regression

This research is aim to determine the comparison of logistic regression models and models Geographically Weighted Logistic Regression and the factors that significantly affect the risk of pneumonia in toddlers in East Java Province. Logistic regression is a statistical analysis that is used to describe the response variable is categorical with the independent variables are categorical or continuous. The main problem of this method if  it’s applied in data that is affected of geographic location or spatial data. One of many method to solve the spatial data is Geographically Weighted Logistic Regression (GWLR). GWLR is a statistical method for analyze the data to account for spatial factor. The results showed that there are no significant differences between the logistic regression model with GWLR model. Factors that significantly affect the risk of pneumonia in toddlers in East Java Province is the percentage of low birth weight, the percentage of  toddlers who get measles immunization, the percentage of toddlers who get vitamin A, and the percentage of toddlers who get DPT+HB immunization.

Acceptability of endoscopic procedures and patients' willingness to repeat them: a single-centre nursing study of influential factors

2019 ◽  
Vol 17 (9) ◽  
pp. 22-28 ◽  
Author(s):  
Rocco Spagnuolo ◽  
Aida Bianco ◽  
Francesca Licata ◽  
Silvia Mazzea ◽  
Elena Manduci ◽  
...  
Keyword(s):  
Regression Models ◽  
Univariate Analysis ◽  
Influential Factors ◽  
Important Indicator ◽  
Endoscopic Procedures ◽  
Logistic Regression Models ◽  
Independent Variables ◽  
Experienced Pain ◽  
Before And After

Background: Patient satisfaction and factors that influence it have become an important indicator of the quality of digestive endoscopy. Aims: This study aimed to define variables that make endoscopic procedures acceptable and those that predispose patients to repeat them under the same conditions. Methods: Consecutive outpatients undergoing endoscopic examinations completed questionnaires, administered by the nursing staff, before and after the procedure. Univariate analysis and multivariate logistic regression models were designed to investigate independent variables associated with the following outcomes of interest. Findings: Most patients experienced pain and anxiety before and during the procedure, considered the procedure unacceptable and felt unwilling to repeat it. Conclusion: Symptoms strictly related to the patient, specifically anxiety and pain and type of sedation received, were the main factors related to satisfaction and willingness to repeat the procedure under the same conditions.

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