Modeling Paired Ordinal Response Data

Analysis of Ordinal Paired Comparison Data

Modeling longitudinal data with ordinal response by varying coefficients.

This paper presents a smooth regression model for ordinal data with longitudinal dependence structure. A marginal model with cumulative logit link is applied to cope with the ordinal scale and the main and covariate effects in the model are allowed to vary with time. Local fitting is pursued and asymptotic properties of the estimates are discussed. In a second step, the longitudinal dependence ...

Comparison of Ordinal Response Modeling Methods like Decision Trees, Ordinal Forest and L1 Penalized Continuation Ratio Regression in High Dimensional Data

Background: Response variables in most medical and health-related research have an ordinal nature. Conventional modeling methods assume predictor variables to be independent, and consider a large number of samples (n) compared to the number of covariates (p). Therefore, it is not possible to use conventional models for high dimensional genetic data in which p > n. The present study compared th...

modeling loss data by phase-type distribution

بیمه گران همیشه بابت خسارات بیمه نامه های تحت پوشش خود نگران بوده و روش هایی را جستجو می کنند که بتوانند داده های خسارات گذشته را با هدف اتخاذ یک تصمیم بهینه مدل بندی نمایند. در این پژوهش توزیع های فیزتایپ در مدل بندی داده های خسارات معرفی شده که شامل استنباط آماری مربوطه و استفاده از الگوریتم em در برآورد پارامترهای توزیع است. در پایان امکان استفاده از این توزیع در مدل بندی داده های گروه بندی ...

Bayesian Structural Equations Modeling for Ordinal Response Data with Missing Responses and Missing Covariates

SUNGDUK KIM, SONALI DAS, MING-HUI CHEN, AND NICHOLAS WARREN Division of Epidemiology, Statistics and Prevention Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Rockville, Maryland, USA Logistics and Quantitative Methods, CSIR BE, PO Box 395, Pretoria, South Africa Department of Statistics, University of Connecticut, Storrs, Connecticut, USA Univer...

Different ranking approaches defining association and agreement measures of paired ordinal data.

Rating scales are common for self-assessments of qualitative variables and also for expert-rating of the severity of disability, outcomes, etc. Scale assessments and other ordered classifications generate ordinal data having rank-invariant properties only. Hence, statistical methods are often based on ranks. The aim is to focus at the differences in ranking approaches between measures of associ...