scholarly journals Satisfaction with travel, ideal commuting, and accessibility to employment

2021 ◽  
Vol 14 (1) ◽  
pp. 995-1017
Author(s):  
John P. Pritchard ◽  
Karst Geurs ◽  
Diego B. Tomasiello ◽  
Anne Slovic ◽  
Adelaide Nardocci ◽  
...  
Keyword(s):  
Large Scale ◽  
Strong Predictor ◽  
Binary Logistic Regression ◽  
Linear Modeling ◽  
Metropolitan Regions ◽  
Job Accessibility ◽  
Logistic Regression Models ◽  
Large Scale Survey ◽  
The Impact ◽  
Travel Satisfaction

This paper explores relationships between commuting times, job accessibility, and commuting satisfaction based on a large-scale survey applied in the Greater London Area (GLA), the municipality of São Paulo (MSP) and the Dutch Randstad (NLR). Potential accessibility to jobs is estimated under 3 different scenarios: reported actual commuting times (ACT), ideal commuting times (ICT), and maximum willingness to commute (MCT). In addition, binary logistic regression models, estimated using generalized linear modeling (GLM), are performed to assess the impact of these temporal preferences on the likelihood of being satisfied with commuting. As expected, ideal and maximum commuting preferences strongly impact the volume and spatial distribution of the measured accessibility to jobs. In the selected case studies, estimated ICT-based job accessibility significantly decreases total measured accessibility (60 to 100 percent), with those living in the lowest accessibility zones impacted most. Furthermore, although specific results varied between regions, the overall findings show an association between ACT and satisfaction. Likewise, commuting mode is found to be a strong predictor of travel satisfaction. Those actively traveling in all three metropolitan regions tend to be more satisfied with their commutes. Potential job accessibility is found to be only weakly associated with travel satisfaction.

scholarly journals EPID-34. THE DETRIMENTAL EFFECT OF BIOPSY PRECEDING RESECTION IN SURGICALLY ACCESSIBLE GLIOBLASTOMAS: RESULTS FROM THE NATIONAL CANCER DATABASE

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii85-ii86
Author(s):  
Ping Zhu ◽  
Xianglin Du ◽  
Angel Blanco ◽  
Leomar Y Ballester ◽  
Nitin Tandon ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Failure Time ◽  
Binary Logistic Regression ◽  
Rank Test ◽  
Imaging Features ◽  
National Cancer Database ◽  
Prolonged Length ◽  
Logistic Regression Models ◽  
Operative Outcomes ◽  
The Impact

Abstract OBJECTIVES To investigate the impact of biopsy preceding resection compared to upfront resection in glioblastoma overall survival (OS) and post-operative outcomes using the National Cancer Database (NCDB). METHODS A total of 17,334 GBM patients diagnosed between 2010 and 2014 were derived from the NCDB. Patients were categorized into two groups: “upfront resection” versus “biopsy followed by resection”. Primary outcome was OS. Post-operative outcomes including 30-day readmission/mortality, 90-day mortality, and prolonged length of inpatient hospital stay (LOS) were secondary endpoints. Kaplan-Meier methods and accelerated failure time (AFT) models with gamma distribution were applied for survival analysis. Multivariable binary logistic regression models were performed to compare differences in the post-operative outcomes between these groups. RESULTS Patients undergoing “upfront resection” experienced superior survival compared to those undergoing “biopsy followed by resection” (median OS: 12.4 versus 11.1 months, log-rank test: P=0.001). In multivariable AFT models, significant survival benefits were observed among patients undergoing “upfront resection” (time ratio [TR]: 0.83, 95% CI: 0.75–0.93, P=0.001). Patients undergoing upfront GTR had the longest survival compared to upfront STR, GTR following STR, or GTR and STR following an initial biopsy (14.4 vs. 10.3, 13.5, 13.3, and 9.1, months), respectively (TR: 1.00 [Ref.], 0.75, 0.82, 0.88, and 0.67). Recent years of diagnosis, higher income and treatment at academic facilities were significantly associated with the likelihood of undergoing upfront resection after adjusting the covariates. Multivariable logistic regression revealed that 30-day mortality and 90-day mortality were decreased by 73% and 44% for patients undergoing “upfront resection” over “biopsy followed by resection”, respectively (both p < 0.001). CONCLUSIONS Pre-operative biopsies for surgically accessible tumors with characteristic imaging features of Glioblastoma lead to worse survival despite subsequent resection compared to patients undergoing upfront resection.

The Impact of Extraversion and Sensation Seeking on Tourist Role

2015 ◽  
Vol 43 (1) ◽  
pp. 75-84 ◽  
Author(s):  
Cheng-Yu Li ◽  
Shiao-Yuan Lu ◽  
Bi-Kun Tsai ◽  
Keh-Yuan Yu
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Sensation Seeking ◽  
Large Scale ◽  
Personality Variables ◽  
Tourism Marketing ◽  
Large Scale Survey ◽  
And Behaviors ◽  
The Impact

In recent years, personality variables, such as extraversion and sensation seeking, have been used to investigate tourist preferences and behaviors. For this study, we classified tourist roles into three types: the familiarized mass tourist, the organized mass tourist, and the independent tourist. We investigated the impact of extraversion and sensation seeking on tourist roles in a large-scale survey of Taiwanese citizens (N = 1,249) aged 20 years and older. Using logistic regression analysis, the results indicated that sensation seeking was a significant predictor of tourist role, but extraversion was not. Compared to familiarized mass tourists, people who are sensation-seeking are more likely to become independent tourists rather than organized mass tourists. We provide suggestions for tourism marketing.

Privacy Factors for Successful Ubiquitous Computing

2010 ◽  
pp. 1408-1424
Author(s):  
Linda Little ◽  
Pam Briggs
Keyword(s):  
Ubiquitous Computing ◽  
Detailed Analysis ◽  
Social Engagement ◽  
Large Scale ◽  
New Technologies ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Human Values ◽  
Large Scale Survey ◽  
The Impact

Certain privacy principles have been established by industry, (e.g. USCAM, 2006). Over the past two years, we have been trying to understand whether such principles reflect the concerns of the ordinary citizen. We have developed a method of enquiry which displays a rich context to the user in order to elicit more detailed information about those privacy factors that underpin our acceptance of ubiquitous computing. To investigate use and acceptance Videotaped Activity Scenarios specifically related to the exchange of health, financial, shopping and e-voting information and a large scale survey were used. We present a detailed analysis of user concerns firstly in terms of a set of constructs that might reflect user-generated privacy principles; secondly those factors likely to play a key role in an individual’s cost-benefit analysis and thirdly, longer-term concerns of the citizen in terms of the impact of new technologies on social engagement and human values.

scholarly journals The impact of the economic crisis on mental health in Italy: results from a large-scale survey

2015 ◽  
Vol 25 (suppl_3) ◽  
Author(s):  
A Odone ◽  
A Migliardi ◽  
T Landriscina ◽  
L Gargiulo ◽  
G Costa
Keyword(s):  
Mental Health ◽  
Economic Crisis ◽  
Large Scale ◽  
Large Scale Survey ◽  
The Impact

scholarly journals The Global Impact of COVID-19 on Craniomaxillofacial Surgeons

2020 ◽  
Vol 13 (3) ◽  
pp. 157-167 ◽  
Author(s):  
Justin van der Tas ◽  
Thomas Dodson ◽  
Daniel Buchbinder ◽  
Stefano Fusetti ◽  
Michael Grant ◽  
...  
Keyword(s):  
Virus Disease ◽  
Statistical Significance ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Geographic Region ◽  
Outcome Variable ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Long Term Impact ◽  
The Impact

Study Design: The COrona VIrus Disease-19 (COVID-19) pandemic has disrupted craniomaxillofacial (CMF) surgeons practice worldwide. We implemented a cross-sectional study and enrolled a sample of CMF surgeons who completed a survey. Objective: To measure the impact that COVID-19 has had on CMF surgeons by (1) identifying variations that may exist by geographic region and specialty and (2) measuring access to adequate personal protective equipment (PPE) and identify factors associated with limited access to adequate PPE. Methods: Primary outcome variable was availability of adequate PPE for health-care workers (HCWs) in the front line and surgeons. Descriptive and analytic statistics were computed. Level of statistical significance was set at P < .05. Binary logistic regression models were created to identify variables associated with PPE status (adequate or inadequate). Results: Most of the respondents felt that hospitals did not provide adequate PPE to the HCWs (57.3%) with significant regional differences ( P = .04). Most adequate PPE was available to surgeons in North America with the least offered in Africa. Differences in PPE adequacy per region ( P < .001) and per country ( P < .001) were significant. In Africa and South America, regions reporting previous virus outbreaks, the differences in access to adequate PPE evaporated compared to Europe ( P = .18 and P = .15, respectively). Conclusion: The impact of COVID-19 among CMF surgeons is global and adversely affects both clinical practice and personal lives of CMF surgeons. Future surveys should capture what the mid- and long-term impact of the COVID-19 crisis will look like.

Impact of Extraversion and Sensation Seeking on International Tourism Choices

2013 ◽  
Vol 41 (2) ◽  
pp. 327-333 ◽  
Author(s):  
Cheng-Yu Li ◽  
Bi-Kun Tsai
Keyword(s):  
Sensation Seeking ◽  
Large Scale ◽  
Social Activity ◽  
International Tourism ◽  
Tourism Experience ◽  
Large Scale Survey ◽  
Tourism Destinations ◽  
The Impact

Tourism is a leisure-related social activity. People always choose their desired tourism destinations and types according to their interests, intentions, and preferences. This means that personality influences tourism consumers' behavior. We examined the impact of extraversion and sensation seeking on international tourism choices, based on data obtained from a large-scale survey of Taiwanese nationals aged 20 years and older. The results of our analysis confirmed the research hypotheses, that when compared to people with no international tourism experience, those with international tourism experience tend to have higher levels of extraversion and sensation seeking.

scholarly journals The impact of demographic, clinical, genetic, and imaging variables on tau PET status

2020 ◽  
Author(s):  
Rik Ossenkoppele ◽  
◽  
Antoine Leuzy ◽  
Hanna Cho ◽  
Carole H. Sudre ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Cortical Thickness ◽  
Regression Models ◽  
Neurodegenerative Disorder ◽  
Amyloid Β ◽  
Binary Logistic Regression ◽  
Clinical Genetic ◽  
Logistic Regression Models ◽  
Tau Pet ◽  
The Impact

Abstract Purpose A substantial proportion of amyloid-β (Aβ)+ patients with clinically diagnosed Alzheimer’s disease (AD) dementia and mild cognitive impairment (MCI) are tau PET–negative, while some clinically diagnosed non-AD neurodegenerative disorder (non-AD) patients or cognitively unimpaired (CU) subjects are tau PET–positive. We investigated which demographic, clinical, genetic, and imaging variables contributed to tau PET status. Methods We included 2338 participants (430 Aβ+ AD dementia, 381 Aβ+ MCI, 370 non-AD, and 1157 CU) who underwent [18F]flortaucipir (n = 1944) or [18F]RO948 (n = 719) PET. Tau PET positivity was determined in the entorhinal cortex, temporal meta-ROI, and Braak V-VI regions using previously established cutoffs. We performed bivariate binary logistic regression models with tau PET status (positive/negative) as dependent variable and age, sex, APOEε4, Aβ status (only in CU and non-AD analyses), MMSE, global white matter hyperintensities (WMH), and AD-signature cortical thickness as predictors. Additionally, we performed multivariable binary logistic regression models to account for all other predictors in the same model. Results Tau PET positivity in the temporal meta-ROI was 88.6% for AD dementia, 46.5% for MCI, 9.5% for non-AD, and 6.1% for CU. Among Aβ+ participants with AD dementia and MCI, lower age, MMSE score, and AD-signature cortical thickness showed the strongest associations with tau PET positivity. In non-AD and CU participants, presence of Aβ was the strongest predictor of a positive tau PET scan. Conclusion We identified several demographic, clinical, and neurobiological factors that are important to explain the variance in tau PET retention observed across the AD pathological continuum, non-AD neurodegenerative disorders, and cognitively unimpaired persons.

The impact of intellectual capital on start-up expectations

2016 ◽  
Vol 17 (4) ◽  
pp. 654-674 ◽  
Author(s):  
Diego Matricano
Keyword(s):  
Logistic Regression ◽  
Intellectual Capital ◽  
Regression Models ◽  
Empirical Studies ◽  
Binary Logistic Regression ◽  
Research Trend ◽  
Content Type ◽  
Logistic Regression Models ◽  
Start Up ◽  
The Impact

Purpose According to an emerging research trend, which seeks to apply the concept of intellectual capital (IC) to the field of entrepreneurship, the purpose of this paper is to test whether IC can affect the start-up expectations of aspiring entrepreneurs. Design/methodology/approach Binary logistic regression models, based on empirical data derived from the Global Entrepreneurship Monitor website and referring to Italy over the years 2005-2010, are used to test the influence of IC (comprising human, structural and relational capital) on start-up expectations. Findings Binary logistic regression models reveal robust results. Human, structural and relational capitals affect start-up expectations in Italy. Only in 2010 did structural capital fail to do so. Research limitations/implications This study has three main limitations. The first concerns the need for further research to confirm the influence of IC on start-up expectations. The second concerns in-depth, more exhaustive analyses that cannot be carried out due to the use of second- hand data. The third deals with the reference only to Italy, over a limited time-span (2005-2010). Originality/value To the best knowledge of the author, this is one of the first empirical studies that investigate whether IC can affect start-up expectations. Results revealed by the regression models might steer other scholars’ interest toward this research path (linking IC and entrepreneurship) that has not yet been properly considered.

scholarly journals Defensible inferences from a nested sequence of logistic regressions: a guide for the perplexed

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Gulsah Gurkan ◽  
Yoav Benjamini ◽  
Henry Braun
Keyword(s):  
Logistic Regression ◽  
Cognitive Skills ◽  
Regression Models ◽  
Large Scale ◽  
Family Background ◽  
National Income ◽  
Logistic Models ◽  
Logistic Regression Models ◽  
Logistic Regressions ◽  
The Impact

AbstractEmploying nested sequences of models is a common practice when exploring the extent to which one set of variables mediates the impact of another set. Such an analysis in the context of logistic regression models confronts two challenges: (i) direct comparisons of coefficients across models are generally biased due to the changes in scale that accompany the changes in the set of explanatory variables, (ii) conducting a large number of tests induces a problem of multiplicity that can lead to spurious findings of significance if not heeded. This article aims to illustrate a practical strategy for conducting analyses in the face of these challenges. The challenges—and how to address them—are illustrated using a subset of the findings reported by Braun (Large-scale Assess Educ 6(4):1–52, 2018. 10.1186/s40536-018-0058-x), drawn from the Programme for the International Assessment of Adult Competencies (PIAAC), an international, large-scale assessment of adults. For each country in the dataset, a nested pair of logistic regression models was fit in order to investigate the role of Educational Attainment and Cognitive Skills in mediating the impact of family background and demographic characteristics on the location of an individual’s annual income in the national income distribution. A modified version of the Karlson–Holm–Breen (KHB) method was employed to obtain an unbiased estimate of the true differences in the coefficients between nested logistic models. In order to address the issue of multiplicity, a recent generalization of the Benjamini–Hochberg (BH) False Discovery Rate (FDR)-controlling procedure to hierarchically structured hypotheses was employed and compared to two conventional methods. The differences between the changes in coefficients calculated conventionally and with the KHB adjustment varied from negligible to very substantial. When combined with the actual magnitudes of the coefficients, we concluded that the more proximal factors indeed act as strong mediators for the background factors, but less so for Age, and hardly at all for Gender. With respect to multiplicity, applying the FDR-controlling procedure yielded results very similar to those obtained by applying a standard per-comparison procedure, but quite a few more discoveries in comparison to the Bonferroni procedure. The KHB methodology illustrated here can be applied wherever there is interest in comparing nested logistic regressions. Modifications to account for probability sampling are practicable. The categorization of variables and the order of entry should be determined by substantive considerations. On the other hand, the BH procedure is perfectly general and can be implemented to address multiplicity issues in a broad range of settings.

The German Integration Panel: how to measure the influence of integration courses on migrants integration?

2014 ◽  
Vol 7 (1) ◽  
pp. 43-55
Author(s):  
Nina Rother
Keyword(s):  
Language Proficiency ◽  
Large Scale ◽  
Language Skills ◽  
German Society ◽  
German Language ◽  
Control Group ◽  
Key Issues ◽  
Large Scale Survey ◽  
The Right ◽  
The Impact

In 2005, Germany’s Federal Government introduced integration courses in order to enable migrants to improve their German language skills and thereby also their general integration into German society. From 2005 to 2007, about 500,000 migrants were granted the right to take part in an integration course. Several methodological challenges had to be overcome when establishing the German Integration Panel, a longitudinal survey aimed at analysing the efficiency and sustainability of integration courses and the impact they have on general integration processes. Among the key issues of this large-scale survey was its global design, especially the composition and accessibility of a control group of non-course participants as well as the assessment of German language proficiency. 

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