Literature DB >> 6385189

A comparison of chi-square partitioning and two logit analyses of ordinal pain data from a pharmaceutical study.

C Cox, C Chuang.   

Abstract

We study three approaches for the analysis of ordinal pain data. The first is essentially non-parametric, based on partitioning the goodness-of-fit statistic for testing the homogeneity model. The other two involve the modelling of quite different logit functions of the multinomial probabilities. We discuss and compare the characteristics of these three approaches using actual data from an analgesic trial.

Entities:  

Mesh：

Substances：

Year:  1984        PMID： 6385189     DOI： 10.1002/sim.4780030309

Source DB:  PubMed          Journal:  Stat Med        ISSN： 0277-6715            Impact factor:   2.373


  3 in total

1.  Generalized anxiety disorder among mothers attending perinatal services during COVID-19 pandemic: using ordinal logistic regression model.

Authors:  Mesfin Esayas Lelisho; Amanuel Mengistu Merera; Seid Ali Tareke; Sali Suleman Hassen; Sebwedin Surur Jemal; Admasu Markos Kontuab; Meseret Mesfin Bambo
Journal:  Heliyon       Date:  2022-06-22

2.  Ordinal Logistic Regression Analysis in Determining Factors Associated with Socioeconomic Status of Household in Tepi Town, Southwest Ethiopia.

Authors:  Mesfin Esayas Lelisho; Abebe Argaw Wogi; Seid Ali Tareke
Journal:  ScientificWorldJournal       Date:  2022-02-03

3.  Ordinal logistic regression model describing factors associated with extent of nodal involvement in oral cancer patients and its prospective validation.

Authors:  Vishwajeet Singh; Sada Nand Dwivedi; S V S Deo
Journal:  BMC Med Res Methodol       Date:  2020-04-26       Impact factor: 4.615
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.