Proportional odds
Proportional odds models for repeated composite and long ordinal outcome scales
... specified proportional-odds cut-point model, in a less complex setting than the example of Section 3 using ordinal outcomes with 10 score ...tional proportional-odds model, together with ...
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Predicting preference-based utility values using partial proportional odds models.
... to the health dimension questions (‘response mapping’). Studies reporting these types of analyses have typically used multinomial logistic regressions and to date the ben- efits have appeared to be minimal [12,13]. ...
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Repolr : an R package for fitting proportional odds models to repeated ordinal scores
... The proportional-odds model is widely applied to such repeated ordinal scores and can be fitted in the repolr package (repeated measures proportional odds logistic regression) in R using the ...
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Proportional odds ratio model for comparison of diagnostic tests in meta-analysis
... When comparing two (or more) diagnostic tests, where each study reports results on more than one test, the per- formance statistics (in the study results) are correlated. Then standard errors computed by SROC are ...
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Bayesian survival modelling of university outcomes
... In this article, a simple but flexible competing risks survival model is employed for the modelling of university outcomes (graduation or dropout). This is based on the Proportional Odds model introduced in ...
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Effect of sex and age on traumatic brain injury: a geographical comparative study
... calculated. Five statistical models were applied as there is currently no single model that is considered the most robust approach when analyzing the ordinal outcomes of clinical trials [1, 9, 36, 37]. For the binary ...
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Application of ordinal logistic regression analysis in determining risk factors of child malnutrition in Bangladesh
... the proportional odds assumption is found insignificant at 5% level of signifi- cance indicating the data satisfy the proportional odds ...the proportional odds assumption for ...
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Statistical methodology for ordinal data in meta-analysis
... The data from studies with several ordered categories are analysed by various methods in meta-analysis. Some methods require specific model as- sumptions while others collapse the 2 × L (L > 2) contingency table into ...
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Associations between gestational weight gain and rate of infancy weight gain in Hawai‘i and Puerto Rico WIC participants
... A proportional odds model was used to investigate the association between gestational weight gain and infancy weight gain rate (rapid or extremely rapid, on-track, or slow), adjusting for maternal age, ...
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Investigating Interaction of Study Group Based Massive Open Online Courses
... of proportional odds logistic regression, and they are known to provide less biased estimates than simpler techniques that do not take into account the potentially truncated nature of time-to-event ...
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Contextual Assessment of Women Empowerment and Its Determinants: Evidence from Pakistan
... compute proportional odds ratios to compare relative effect of each category over the reference category to explain variations in the decision making power of ...
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Human resources information system (HRIS) enabled human resource management (HRM) performance: a business process management (BPM) perspective
... 10.4 Conclusion A cumulative odds ordinal logistic regression with proportional odds was run to determine the effect of organization type and organization size on the belief that organiz[r] ...
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Attitudes toward clinical trials across the Alzheimer’s disease spectrum
... fitting proportional odds models with a binary outcome variable for whether patients were highly willing to participate in low-, moderate-, or high-risk and burden ...the odds of participating in a ...
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Antimicrobial exposure and the risk of delirium in critically ill patients
... Our study has several strengths. There is a limited body of literature regarding the association between various antimicrobial classes and delirium in critically ill patients. The current body of literature lacks ...
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Log Link Regression Models for Ordinal Responses
... The adjacent-categories, continuation-ratio and proportional odds logit-link regression models provide useful extensions of the multinomial logistic model to ordinal response data. We propose fitting these ...
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Bayesian Survival Modelling of University Outcomes
... The modelling of university outcomes (graduation or dropout) is not trivial. In this article, a simple but flexible competing risks survival model is employed for this purpose. This is based on the Proportional ...
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Proportional Shapley levels values
... The proportional Shapley hierarchy levels value can be characterized by efficiency and proportional balanced group contributions, a proportional variant of balanced group con- tributions (Calvo, ...
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Endogenously Proportional Bargaining Solutions
... While the proposed class of endogenous solutions is new, exogenously proportional solutions are already known. The first - and most well - known member of this class is the Egalitarian solution, recommended by ...
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Test for Homogeneity of Odds Ratios Using U Statistics
... There are a few statistics testing the homogeneity of odds ratios across strata. Asymptotic statistics lose their power in the “sparse-data” setting. Both asymptotic statistics and exact tests have low power when ...
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Axiomatizations of the proportional Shapley value
... the proportional Shapley value in the context of cost allocation, motivate the player splitting property and show an inconsistency of the Shapley value in this ...
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