proportional odds
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2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Saeed Akhtar ◽  
Eisa Aldhafeeri ◽  
Farah Alshammari ◽  
Hana Jafar ◽  
Haya Malhas ◽  
...  

Abstract Background The aims of this cross-sectional study were to i) assess one-year period prevalence of one, two, three or more road traffic crashes (RTCs) as an ordinal outcome and ii) identify the drivers’ characteristics associated with this ordinal outcome among young adult drivers with propensity to recurrent RTCs in Kuwait. Methods During December 2016, 1465 students, 17 years old or older from 15 colleges of Kuwait University participated in this cross-sectional study. A self-administered questionnaire was used for data collection. One-year period prevalence (95% confidence interval (CI)) of one, two, three or more RTCs was computed. Multivariable proportional odds model was used to identify the drivers’ attributes associated with the ordinal outcome. Results One-year period prevalence (%) of one, two and three or more RTCs respectively was 23.1 (95% CI: 21.2, 25.6), 10.9 (95% CI: 9.4, 12.6), and 4.6 (95% CI: 3.6, 5.9). Participants were significantly (p < 0.05) more likely to be in higher RTCs count category than their current or lower RCTs count, if they habitually violated speed limit (adjusted proportional odds ratio (pORadjusted) = 1.40; 95% Cl: 1.13, 1.75), ran through red lights (pORadjusted = 1.64; 95%CI: 1.30, 2.06), frequently (≥ 3) received multiple (> 3) speeding tickets (pORadjusted = 1.63; 95% CI: 1.12, 2.38), frequently (> 10 times) violated no-parking zone during the past year (pORadjusted = 1.64; 95% CI: 1.06, 2.54) or being a patient with epilepsy (pORadjusted = 4.37; 95% CI: 1.63, 11.70). Conclusion High one-year period prevalence of one, two and three or more RTCs was recorded. Targeted education based on identified drivers’ attributes and stern enforcement of traffic laws may reduce the recurrent RTCs incidence in this and other similar populations in the region.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dae-Young Kim ◽  
Scott W. Phillips ◽  
Stephen A. Bishopp

PurposeThe present study examines a range of police force on the continuum (firearms, TASER/chemical spray and physical force) to see whether they are associated with individual (subject and officer), situational and/or neighborhood factors.Design/methodology/approachA partial proportional odds model is used to analyze police use of force data from 2003 to 2016 in Dallas. Independent variables are allowed for varying effects across the different cumulative dichotomizations of the dependent variable (firearms vs TASER/chemical spray and physical force and firearms and TASER/chemical spray vs physical force).FindingsMost officer demographic and situational factors are consistently significant across the cumulative dichotomizations of police force. In addition, suspect race/ethnicity (Hispanic) and violent crime rates play significant roles when officers make decisions to use firearms, as opposed to TASER/chemical spray and physical force. Overall, situational variables (subject gun possession and contact types) play greater roles than other variables in affecting police use of force.Originality/valueDespite the large body of police use of force research, little to no research has used the partial proportional odds model to examine the ordinal nature of police force from physical to intermediate to deadly force. The current findings can provide important implications for policy and research.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 65-65
Author(s):  
Hamza Butt ◽  
Kathie Insel ◽  
Kendra Jason ◽  
Mark Wager ◽  
Dagoberto Robles ◽  
...  

Abstract This study investigated the occurrence of undesirable weight change (UDWC) and reduced sleep quality (RSQ), and major factors associated with these changes during COVID-19 pandemic amongst university older employees (age 50+). Participants (n = 846) were recruited throughout campus and completed an online survey. Summary statistics were used to describe characteristics of the study participants and frequency and level of UDWC and RSQ. Proportional odds models were used to assess major factors associated with UDWC and RSQ. The results showed 416 (43.2%) participants reported UDWC and 474 (49.2%) RSQ. Age was inversely, and obesity positively associated with UDWC and RSQ. With each 5-year increase in age, the OR (95% CI) was 0.87 (0.78, 0.97) for reporting UDWC and 0.90 (0.81, 1.00) for reporting RSQ. Obese individuals were significantly more likely to report a worse UDWC and RSQ (OR (95% CI) = 1.58 (1.18, 2.11) and 1.56 (1.16, 2.10) respectively).


2021 ◽  
Author(s):  
Fantu Abebe Eyowas ◽  
Marguerite Schneider ◽  
Shitaye Alemu ◽  
Sanghamitra Pati ◽  
Fentie Ambaw Getahun

Abstract Background Multimorbidity, the presence of two or more chronic non-communicable diseases (NCDs) in a given person affects all aspects of individuals’ lives. Poor quality of life (QoL) is one of the major consequences of living with multimorbidity. Although healthcare aims to support multimorbid individuals to achieve better quality of life, little is known about the effect of multimorbidity on quality of life of patients attending chronic outpatient medical care in Ethiopia. Objectives This study aimed to determine the association between multimorbidity and quality of life among clients attending chronic outpatient medical care in Bahir Dar city, Northwest Ethiopia. Methods A multi-centered facility-based study was conducted among 1440 participants aged 40+ years attending chronic outpatient medical care. Two complementary methods (interview and review of medical records) were employed to collect data on sociodemographic characteristics and presence of chronic diseases. We used the short form (SF-12 V2) instrument to measure quality of life. The data were analyzed by STATA V.16 and multivariate partial proportional odds model was fitted to identify covariates associated with quality of life, adjusting for relevant confounding factors. Statistical significance was considered at p-value <0.05.Results Multimorbidity was identified in 54.8% (95% CI=52.2%-57.4%) of the sample. A significant proportion (33.5%) of the study participants had poor quality of life and one fourth (25.8%) of them had moderate quality of life. Advanced age and living with multimorbidity were associated with poor quality of life. Conversely, being female, strong social support, high socioeconomic status, and adequate functioning and satisfaction with care were the variables positively associated with higher categories of quality of life.Conclusion The magnitude of multimorbidity in this study was high and individuals living with multimorbidity had a relatively poor quality of life than those without multimorbidity. Care of people with chronic multiple conditions may need to be oriented to the realities in multimorbidity burden and its implication on quality of life. Interventions targeting modifiable associated factors and studies exploring the longitudinal effect of multimorbidity on quality of life are needed.


2021 ◽  
Author(s):  
◽  
Young-Min Kwon

<p>This thesis illustrates statistical methodology for identifying the effects of explanatory variables, for the response variables with an ordinal nature. The dataset applied to this methodology is a Listening Strategy dataset collected by The Language Learner Strategy Team at the National Institute of Education from Singapore. In this dataset, eight strategies were formed from 38 questions based on Linguistic theory. The core objective of this thesis is to validate whether 38 questions were aggregated appropriately. We use the proportional odds model, which is the most popular for ordinal responses, and the generalised estimating equations (GEE) method to analyse repeated measurements. Although there are several ways to analyse repeated categorical responses, this thesis only demonstrates the marginal approach using the GEE method. By fitting proportional odds models, we evaluate whether student’s English Language test result associated with the questions are at the same level within each strategy. Results show that the English Language test result effects for the questions associated with Self-initiation, Planning, Monitoring and Evaluating, Prediction and Utilisation strategies are similar. On the other hand, the effects for the questions associated with Perceptual processing, Inferencing and Socio-affective strategies are significantly different. We also use a simulation study to show that when the ordinal response is treated as continuous, ordinary least square regression might have misleading results.</p>


2021 ◽  
Author(s):  
◽  
Young-Min Kwon

<p>This thesis illustrates statistical methodology for identifying the effects of explanatory variables, for the response variables with an ordinal nature. The dataset applied to this methodology is a Listening Strategy dataset collected by The Language Learner Strategy Team at the National Institute of Education from Singapore. In this dataset, eight strategies were formed from 38 questions based on Linguistic theory. The core objective of this thesis is to validate whether 38 questions were aggregated appropriately. We use the proportional odds model, which is the most popular for ordinal responses, and the generalised estimating equations (GEE) method to analyse repeated measurements. Although there are several ways to analyse repeated categorical responses, this thesis only demonstrates the marginal approach using the GEE method. By fitting proportional odds models, we evaluate whether student’s English Language test result associated with the questions are at the same level within each strategy. Results show that the English Language test result effects for the questions associated with Self-initiation, Planning, Monitoring and Evaluating, Prediction and Utilisation strategies are similar. On the other hand, the effects for the questions associated with Perceptual processing, Inferencing and Socio-affective strategies are significantly different. We also use a simulation study to show that when the ordinal response is treated as continuous, ordinary least square regression might have misleading results.</p>


2021 ◽  
Author(s):  
◽  
Stacey Dobbie

<p>This thesis presents a comparison of statistical methodologies for cluster verification on ordinal response variables. Methodologies will be applied to a Listening Strategy dataset collected by the Language Learner Strategies research team at the National Institute of Education in Singapore. From this listening dataset, eight clusters suggested by Linguistics theory require verification. The methodologies undertaken is to find which listening strategies have been formed well.  Methods used includes the proportional odds model, confirmatory factor analysis and ordinal agreement model. The proportional odds model is used to establish how well each cluster of questions is built. This is established by checking how similar questions within clusters are. The confirmatory factor analysis is used to verify how well the overall listening clusters have been built. This will be compared to clusters proposed by a statistical method. Lastly, the ordinal agreement model is applied to see how much agreement there is within each of the listening clusters. This will be able to show us which clusters is built better than the other clusters for this listening questionnaire.  Results show that the prediction listening strategy has the highest level of agreement as well as no difference between questions within this cluster. The Socio-affective listening strategy has the lowest level of agreement and very strong evidence of a difference between questions within the cluster. This suggests that the prediction cluster has been formed better than the Socio-affective cluster.</p>


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