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Research paper | 31-October-2017

MULTINOMIAL LOGISTIC REGRESSION APPROACH FOR THE EVALUATION OF BINARY DIAGNOSTIC TEST IN MEDICAL RESEARCH

Evaluating the effect of variables on diagnostic measures (sensitivity, specificity, positive, and negative predictive values) is often of interest to clinical researchers. Logistic regression (LR) models can be used to predict diagnostic measures of a screening test. A marginal model framework using generalized estimating equation (GEE) with logit/log link can be used to compare the diagnostic measures between two or more screening tests. These individual modeling approaches to each diagnostic

Alok Kumar Dwivedi, Indika Mallawaarachchi, Juan B. Figueroa-Casas, Angel M. Morales, Patrick Tarwater

Statistics in Transition New Series, Volume 16 , ISSUE 2, 203–222

Article | 31-December-2020

APPLICATION OF THE LOGISTIC REGRESSION MODEL TO ASSESS THE RISK OF DEATH IN ROAD TRAFFIC ACCIDENTS IN THE MAZOWIECKIE VOIVODESHIP

the highest mortality rates gathered for the period 2016-2018. Owing to the dichotomous form of the studied variable, logistic regression was used. Estimated model parameters and calculated odds ratios allowed to assess the effect of selected factors on road traffic mortality rate. As significant, the type of the perpetrator and the traffic participant, sex and age of the victim, road lighting, and the driver’s experience were selected. It was assessed that pedestrians are the group most

Anna BORUCKA, Małgorzata GRZELAK, Andrzej ŚWIDERSKI

Transport Problems, Volume 15 , ISSUE 4, Part 1, 125–136

Article | 11-March-2018

MODELLING THE RANKING OF LITHUANIAN RAILWAYS LEVEL CROSSING BY SAFETY LEVEL

railway crossing, and the maximum speed of trains. Applying the binary model of logistic regression, the probability of accidents at the 337 railway crossings of the country was calculated. Depending on the degree of risk or the probability of accident, the country's railway crossings are ranked. The most dangerous crossings of four regions in the country were identified. Finally, the main conclusions and recommendations are presented.

Gintautas BUREIKA, Marek KOMAIŠKO, Virgilijus JASTREMSKAS

Transport Problems, Volume 12 , ISSUE SE, 11–22

Original Paper | 09-October-2019

Modeling alloantibody formation to highincidence red blood cell antigens in immune responders using genotypic data  

;, Immucor, Warren, NJ) was performed on all patient specimens referred for molecular testing over 45 months; serologic and clinical data were analyzed. We used simple and multiple logistic regression to model the risk factors for alloimmunization to an HIA. Of the 2591 patients genotyped, 32 (1.2%) were homozygous for at least one variant predicting absence of an HIA. Of these 32 patients, prior transfusion or pregnancy history was available for 29 (91%). Four susceptible patients made an antibody to an

Patricia A.R. Brunker, Keerthana Ravindran, R. Sue Shirey

Immunohematology, Volume 33 , ISSUE 1, 9–14

Article | 06-July-2017

INFORMATIVE VERSUS NON-INFORMATIVE PRIOR DISTRIBUTIONS AND THEIR IMPACT ON THE ACCURACY OF BAYESIAN INFERENCE

In this study the benefits arising from the use of the Bayesian approach to predictive modelling will be outlined and exemplified by a linear regression model and a logistic regression model. The impact of informative and non-informative prior on model accuracy will be examined and compared. The data from the Central Statistical Office of Poland describing unemployment in individual districts in Poland will be used. Markov Chain Monte Carlo methods (MCMC) will be employed in modelling.

Wioletta Grzenda

Statistics in Transition New Series, Volume 17 , ISSUE 4, 763–780

Original Paper | 04-December-2017

Prevalence, Influencing Factors, Antibiotic Resistance, Toxin and Molecular Characteristics of Staphylococcus aureus and MRSA Nasal Carriage among Diabetic Population in the United States, 2001–2004

student t test, as appropriate. Multivariate analy­sis using logistic regression was conducted to assess the association between influencing factors and S. aureus and MRSA nasal carriage. 1010 diabetic participants were included in the study. The prevalence of S. aureus and MRSA nasal carriage were 28.32% and 1.09%, respec­tively. After the logistic regression, ever had a painful sensation or tingling in hands or feet past three months (Odds Ratio [OR] = 0.359, 95% Confidence Interval [CI], 0.146

Jialing Lin, Yang Peng, Chan Bai, Ting Zhang, Haoqu Zheng, Xiaojie Wang, Jiaping Ye, Xiaohua Ye, Ying Li, Zhenjiang Yao

Polish Journal of Microbiology, Volume 66 , ISSUE 4, 439–448

Article | 03-March-2021

Estimation of the number of residents included in a population frame

Danutė Krapavickaitė

Statistics in Transition New Series, Volume 22 , ISSUE 1, 197–206

Research Article | 04-September-2019

COMPARATIVE ANALYSIS OF POVERTY IN FAMILIES WITH A DISABLED CHILD AND FAMILIES  WITH NON-DISABLED CHILDREN IN POLAND  IN THE YEARS 2014 AND 2016

Olga Komorowska, Arkadiusz Kozłowski, Teresa Słaby

Statistics in Transition New Series, Volume 20 , ISSUE 3, 97–117

book-review | 19-August-2019

Changes in delinquency according to socioeconomic status among Finnish adolescents from 2000 to 2015

. Bivariate associations were studied using binomial logistic regression results shown as odds ratios with 95 % confidence intervals. Delinquency was entered as dependent variable. In the first model, categorical time periods (2000-2001, 2002-2003, 2004-2005, 2006-2007, 2008-2009, 2010-2011, 2012-2013, 2014-2015) were entered as independent factors using the time period 2000-2001 as a reference category. In the second model, family structure (living with both parents/other), parental unemployment in the

Noora Knaappila, Mauri Marttunen, Sari Fröjd, Nina Lindberg, Riittakerttu Kaltiala-Heino

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 7 , 52–59

Article | 03-March-2021

Bankruptcy prediction of small- and medium-sized enterprises in Poland based on the LDA and SVM methods

. Since the Altman Z-Score model was devised, numerous studies on bankruptcy prediction have been written. Most of them involve the application of traditional methods, including linear discriminant analysis (LDA), logistic regression and probit analysis. However, most recent studies in the area of bankruptcy prediction focus on more advanced methods, such as case-based reasoning, genetic algorithms and neural networks. In this paper, the effectiveness of LDA and SVM predictions were compared. A sample

Aneta Ptak-Chmielewska

Statistics in Transition New Series, Volume 22 , ISSUE 1, 179–195

research-article | 30-November-2018

The Multiplex Social Environments of Young Black Men Who Have Sex with Men: How Online and Offline Social Structures Impact HIV Prevention and Sex Behavior Engagement

variables) were calculated for all outcomes and covariates. Multivariate logistic regression analyses were performed to examine associations of network features with each prevention and sex behavior outcome, while also controlling for individual and structural factors. Adjusted odds ratios (aORs) and their 95% confidence intervals (95% CIs) were calculated. All models were fit using RDS sampling weights, specifically Gile’s Sequential Sampling (SS) estimator (Gile, 2011; Gile & Handcock, 2010), an

Lindsay E. Young, Kayo Fujimoto, Leigh Alon, Liang Zhang, John A. Schneider

Journal of Social Structure, Volume 20 , ISSUE 3, 70–95

Research Article | 05-July-2017

Low self-esteem and high psychological distress are common among depressed adolescents presenting to the Pediatric Emergency Department

depression.Results:In 55% of participants, intoxication was by alcohol consumption. Deliberate self-harm was found in 17% of the participants. Of the 138 adolescents, 39% scored positive on the BDI for depressive symptoms, occurring more commonly in girls. Logistic regression showed that the most significant variables associated with depressive symptoms were female gender, high psychological distress, and low self-esteem. Symptoms of depression served as a mediator between gender and self-esteem and the blood

Varpu Puuskari, Terhi Aalto-Setälä, Erkki Komulainen, Mauri Marttunen

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 5 , ISSUE 1, 39–49

Research Article | 30-November-2013

Determinants of Binge Drinking among Adolescents in Denmark

obtained data from 2765 adolescents who were in grade 9 in Denmark at that time. Logistic regression was used to assess the association between the outcome variable of binge drinking and the exposure variables of alcohol-drinking peers, pocket money, and mother’s/father’s approval of intoxication.The risk of binge drinking increased with the number of alcohol-drinking peers (trend test, p < .0001) and with the amount of pocket money spent (trend test, p < .0001. The association between the

Maria Pedersen, Per Kragh Andersen, Svend Sabroe

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 2 , ISSUE 3, 135–142

research-article | 30-November-2019

Victimization in traditional and cyberbullying as risk factors for substance use, self-harm and suicide attempts in high school students

statistical software (version 23). We used a binary logistic regression method in which an Odds Ratio can be calculated for a nominal dependent variable (for example, smoking cigarette: 1-Yes, 0-No) through combination of several independent variables. In this study, we used traditional and cyber victimization and gender as predictors for substance use, self-harm, and suicide. The statistical significance level was considered as p < 0.05. As some of the students did not properly answer the questions, 25

Mohammad Saeed Azami, Farhad Taremian

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 8 , 101–109

research-article | 30-November-2019

Normative and negative sexual experiences of transgender identifying adolescents in the community

cisgender and transgender adolescents using cross-tabulations with chi-square statistics/Fisher’s exact test where appropriate. Next, multivariate associations were studied using logistic regression. The sexual experiences, sexual harassment and dating violence variables were entered each in turn as the dependent variable. Gender identity was entered as the independent variable, age (continuous) and sex were controlled for. Next, the sincerity screening variable was added into the analyses, and finally

Elias Heino, Sari Fröjd, Mauri Marttunen, Riittakerttu Kaltiala

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 8 , 166–175

research-article | 04-January-2021

Before the damage is done: Early childhood hyperactivity difficulties in adolescents with deliberate self-harm – findings from the DALSC cohort

mediator at time t2, and the dependent variable at time t3, with t1 < t2 < t3. Whether the mediator was present before the outcome variable is an assumption that is made, as we cannot know with complete certainty that the DSH did not begin before the age of 11, when the peer difficulties were measured. In the mediation analysis, the significant variables from the logistic regression were included as control variables. A bootstrap approach was applied to create confidence intervals (67). All statistical

Therese A. Evald, Bo Møhl

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 8 , 176–188

research-article | 30-November-2020

A longitudinal investigation of cognitive functioning and its relationship to symptom severity and academic functioning in treatment seeking youth with AHDH

-up at the CAP clinic and the Control group in a quiet room at their school or at the CAP clinic. For both groups, the WISC-IV/WAIS-IV assessments were carried out by fully qualified neuropsychologists or supervised clinical psychology students trained to administer these scales. Statistical analyses Between group comparisons, differences between composites and logistic regression analyses were carried out using version 25 of SPSS (IBM Corp., Armonk, NY, USA). Linear mixed model regression

Pia Tallberg, Maria Rastam, Sean Perrin, Anne-Li Hallin, Peik Gustafsson

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 9 , 52–63

Research Article | 30-November-2013

Immigrant Preadolescents and Risk of Emotional Distress

subgroups of preadolescent emotional problems. Multinomial logistic regressions were conducted to assess the relationships between these subgroups and the presence of an immigrant background with four immigrant groups (all backgrounds, Pakistan, Turkey, and Sri Lanka). The reference group was the ethnic Norwegians.LCA identified three classes according to the severity of the problems; these were labeled healthy, borderline, and distressed. Multinomial logistic regression analyses found the presence of

Daniele E. Alves, Heather L. Corliss, Espen Roysamb, Henrik D. Zachrisson, Brit Oppedal, Kristin Gustavson

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 2 , ISSUE 1, 41–51

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