Results 11 to 20 of about 5,782,543 (332)
Ordered samples control charts for ordinal variables
Quality and Reliability Engineering International, 2005 The paper presents a new method for statistical process control when ordinal variables are involved. This is the case of a quality characteristic evaluated by an ordinal scale.
Davey +11 more
core +5 more sources
Modeling continuous response variables using ordinal regression [PDF]
Statistics in Medicine, 2017 We study the application of a widely used ordinal regression model, the cumulative probability model (CPM), for continuous outcomes. Such models are attractive for the analysis of continuous response variables because they are invariant to any monotonic transformation of the outcome and because they directly model the cumulative distribution function ...
Qi Liu, B. Shepherd, Chun Li, F. Harrell
semanticscholar +6 more sources
Computers, Environment and Urban Systems, 2018 Ordinal categorical responses are commonly seen in geo-referenced survey data while spatial statistics tools for modelling such type of outcome are rather limited. The paper extends the local spatial modelling framework to accommodate ordinal categorical
Guanpeng Dong, T. Nakaya, C. Brunsdon
semanticscholar +3 more sources
Median Distance Model for Likert-Type Items in Contingency Table Analysis
Revstat Statistical Journal, 2023 Likert-type items (questions) are a widely used scale in questionnaire design. The “neutral” or “undecided” option may lead to misinterpretation and confusion about the results.
Serpil Aktas Altunay +1 more
doaj +1 more source
Weighted Trajectory Analysis and Application to Clinical Outcome Assessment
BioMedInformatics, 2023 The Kaplan–Meier (KM) estimator is widely used in medical research to estimate the survival function from lifetime data. KM estimation is a powerful tool to evaluate clinical trials due to simple computational requirements, its use of a logrank ...
Utkarsh Chauhan +3 more
doaj +1 more source
Sichuan jingshen weisheng, 2021 The purpose of this paper was to introduce the CMH χ2 test and SAS software implementation of the three kinds of R×C contingency table data. The first type was called “two-way unordered R×C contingency table data”.
Hu Chunyan, Hu Liangping
doaj +1 more source
Journal of the American Statistical Association, 2020 Partial association refers to the relationship between variables Y1,Y2,…,YK while adjusting for a set of covariates X={X1,…,Xp}. To assess such an association when Yk’s are recorded on ordinal scales, a classical approach is to use partial correlation ...
Dungang Liu +3 more
semanticscholar +1 more source
Simultaneous optimization of quantitative and ordinal responses using Taguchi method [PDF]
International Journal of Research in Industrial Engineering, 2018 In the real world, the overall quality of a product is often represented partly by the measured values of some quantitative variables and partly by the observed values of some ordinal variables.
S. Pal, S. Gauri
doaj +1 more source
Maximally selected chi-square statistics for at least ordinal scaled variables [PDF]
, 2005 The association between a binary variable Y and a variable X with an at least ordinal measurement scale might be examined by selecting a cutpoint in the range of X and then performing an association test for the obtained 2x2 contingency table using the ...
Boulesteix, Anne-Laure
core +2 more sources
Multilevel Factor Models for Ordinal Variables [PDF]
Structural Equation Modeling: A Multidisciplinary Journal, 2007 Abstract This article tackles several issues involved in specifying, fitting, and interpreting the results of multilevel factor models for ordinal variables. First, the problem of model specification and identification is addressed, outlining parameter interpretation.
GRILLI, LEONARDO, RAMPICHINI, CARLA
openaire +2 more sources