scholarly journals How does ICT influence residents' attitudes towards tourism as a driver of development? A generalised ordered logistic regression analysis

2021 ◽  
Author(s):  
Caterina De Lucia ◽  
Pasquale Pazienza ◽  
Pasquale Balena
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Ordered Logistic Regression ◽  
Residents Attitudes

Trust in police as an influencing factor on trust in government: 2SLS analysis using perception of safety

2020 ◽  
Vol 43 (4) ◽  
pp. 541-558
Author(s):  
Jisu Jeong ◽  
Seunghui Han
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Trust In Government ◽  
Content Type ◽  
Perception Of Safety ◽  
Ordered Logistic Regression ◽  
The Impact ◽  
The Relationship ◽  
Trust In Police

PurposeCitizen trust in police is important in terms of citizen consent to government policies and of police achieving their organizational goals. In the previous study, improvements in police policy, organizational operation and policing activities were developed to clarify which factors influence trust in police and how trust can be improved. This research raises the question, would changes in trust in police have an impact on trust in government? In this paper, this research question is discussed theoretically and the causal relationship analyzed empirically by applying OLS, ordered logistic, 2SLS and logistic regressions.Design/methodology/approachThe basic analysis methods are to apply the OLS and the ordered logistic regression. OLS regression analysis is an analytical method that minimizes an error range of a regression line. The assumptions for OLS are: linearity, independence, equilibrium, extrapolation and multicollinearity issues. These problems were statistically verified and analyzed, in order to confirm the robustness of the analysis results by comparing the results of the ordered logistic regression because of the sequence characteristic of the dependent variable. The data to be used in this study is the Asia Barometer Survey in 2013.FindingsTrust in police and citizen perception of safety are analyzed as important factors to increase trust in the government. The effects of trust in police are more significant than the effects of control variables, and the direction and strength of the results are stable. The effect of trust in police on trust in government is strengthened by the perception of safety (IV). In addition, OLS, ordered logistic regression analysis, which analyzed trust in central government and local government, and logistic regression analysis categorized by trust and distrust show the stability.Research limitations/implicationsThis paper has implications in terms of theoretical and empirical analysis of the relationship between trust in police and trust in government. In addition, the impact of perception of safety on trust in police can be provided to police officers, policymakers and governors who are seeking to increase trust in government. This paper is also meaningful in that it is the microscopic research based on the citizens' survey. One of the limitations of macroscopic research is that it does not consider the individual perceptions of citizens.Practical implicationsThe results of this paper can confirm the relationship of the virtuous cycle, which is perception of safety – trust in police – trust in government. The police will need to provide security services to improve citizens' perception of safety and make great efforts to create safer communities and society. Trust in police formed through this process can be an important component of trust in government. By making citizens feel safer and achieving trust in police, ultimately, trust in government will be improved.Originality/valueThe police perform one of the essential roles of government and are one of the major components of trust in government, but the police sector has been neglected compared to the roles of the economic and political sectors. These influences of macro factors are too abstract to allow specific policy directions to be suggested. If we consider trust in police, and factors that can improve trust in government, we can suggest practical policy alternatives.

Predictive Factors for Postherpetic Neuralgia Using Ordered Logistic Regression Analysis

2012 ◽  
Vol 28 (8) ◽  
pp. 712-714 ◽  
Author(s):  
Yuko Kanbayashi ◽  
Keiko Onishi ◽  
Keita Fukazawa ◽  
Kousuke Okamoto ◽  
Hiroshi Ueno ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Predictive Factors ◽  
Postherpetic Neuralgia ◽  
Ordered Logistic Regression

scholarly journals Predictors for Development of Oxaliplatin-induced Peripheral Neuropathy in Cancer Patients as Determined by Ordered Logistic Regression Analysis

2021 ◽  
Author(s):  
Yuko Kanbayashi ◽  
Takeshi Ishikawa ◽  
Yoshiaki Kuriu ◽  
Yusuke Tabuchi ◽  
Eigo Otsuji ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Peripheral Neuropathy ◽  
Cancer Patients ◽  
Logistic Regression Analysis ◽  
Roc Analysis ◽  
Operating Characteristic ◽  
Ordered Logistic Regression ◽  
Number Of Cycles ◽  
Significant Factors

Abstract Purpose This retrospective study aimed to identify predictors for the development of oxaliplatin-induced peripheral neuropathy (OXAIPN). Methods Between January 2017 and March 2021, a total 322 cancer patients at our hospital who were receiving oxaliplatin were enrolled. For the regression analysis of factors associated with oxaliplatin-induced peripheral neuropathy, variables were extracted manually from medical charts. The level of OXAIPN was evaluated using the National Cancer Institute’s Common Terminology Criteria for Adverse Events (version 5). Multivariate ordered logistic regression analysis was performed to identify predictors for the development of OXAIPN. Optimal cut-off thresholds were determined using receiver operating characteristic (ROC) analysis. Values of P <0.05 (2-tailed) were considered significant. Results Significant factors identified included body mass index (BMI) (odds ratio [OR] = 1.06, 95% confidence interval [CI] = 1.00–1.12; P = 0.046), number of cycles (OR = 1.09, 95%CI = 1.05–1.14; P <0.0001), S-1 plus oxaliplatin (SOX) regimen (OR = 0.54, 95%CI = 0.32–0.92; P = 0.023), concomitant use of proton pump inhibitors (PPIs) (OR = 1.64, 95%CI = 1.05–2.58; P = 0.031) and concomitant use of analgesic adjuvant (OR = 3.30, 95%CI = 1.09–9.97; P = 0.035). Conclusion BMI, number of cycles, SOX regimen, concomitant use of PPIs and concomitant use of analgesic drugs were identified as significant predictors for the development of OXAIPN.

Predictive factors for taxane acute pain syndrome determined by ordered logistic regression analysis

2018 ◽  
Vol 27 (7) ◽  
pp. 2673-2677 ◽  
Author(s):  
Yuko Kanbayashi ◽  
Kouichi Sakaguchi ◽  
Katsuhiko Nakatsukasa ◽  
Yoshimi Ouchi ◽  
Yusuke Tabuchi ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Predictive Factors ◽  
Acute Pain ◽  
Pain Syndrome ◽  
Ordered Logistic Regression

Investigation of the risk and preventive factors for progression of mild cognitive impairment to dementia: a 6-year follow-up study

2019 ◽  
Author(s):  
Chengping Hu ◽  
Ling Wang ◽  
Yi Guo ◽  
Zhicheng Cao ◽  
Ying Lu ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Cognitive Impairment ◽  
High Education ◽  
Mild Cognitive Impairment ◽  
Logistic Regression Analysis ◽  
Protective Factor ◽  
Clinical Dementia Rating ◽  
Ordered Logistic Regression

Abstract Background: To investigate the cognition change of mild cognitive impairment (MCI) during a 6-year follow-up, and to evaluate the preventive and risk factors for MCI progression to dementia. Methods: This cross-sectional study was based on the results of the epidemiological survey in 2011 (No. PKJ2010-Y26). A total of 441 MCI individuals, 60 years and above were involved. Cognitive function was measured by the mini-mental status examination (MMSE), clinical dementia rating (CDR), montreal cognitive assessment (MoCA), and daily living scale (ADL). The association between demographic characteristics and MCI outcomes were evaluated using single-and multi-factor ordered logistic regression analysis models. Results: Exclusion of the relocated community, the final follow-up rate was 43.8%. Individuals who were older, had more children, not in marriage, and with high income were easily lost to follow-up. Of the 441 MCI, 77 progressed to dementia (MCIp, 17.5%, 95% CI: 14.4-21.6%), 356 remained stable (MCIs, 80.7%, 95% CI: 77.0-88.4%), and 8 reverted to normal cognition (MCIr, 1.8%, 95% CI: 0.6-3.0%) at follow-up in 2017. Diabetes (P=0.047) and past occupations as managers (P=0.028) increased the risk of MCI progression to dementia. While, high education (P=0.006) was the protective factor of MCI progression. Conclusions: High education, nondiabetic, and past occupation as a technical staff might prevent the progression of MCI to dementia. Keywords: Mild cognitive impairment; dementia; ordered logistic regression analysis; education; diabetes; past occupation.

Predictive factors in patients eligible for pegfilgrastim prophylaxis focusing on RDI using ordered logistic regression analysis

2018 ◽  
Vol 35 (4) ◽  
Author(s):  
Yuko Kanbayashi ◽  
Takeshi Ishikawa ◽  
Motohiro Kanazawa ◽  
Yuki Nakajima ◽  
Rumi Kawano ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Predictive Factors ◽  
Ordered Logistic Regression
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