Models for the probability of concordance in cross-classification tables
نویسنده
چکیده
For cross-classification tables having an ordinal response variable, logit and probit models are formulated for the probability that a pair of subjects is concordant. For multidimensional tables, generalized models are given for the probability that the response at one setting of explanatory variables exceeds the response at another setting. Related measures of association are discussed for two-way tables.
منابع مشابه
An application of Measurement error evaluation using latent class analysis
Latent class analysis (LCA) is a method of evaluating non sampling errors, especially measurement error in categorical data. Biemer (2011) introduced four latent class modeling approaches: probability model parameterization, log linear model, modified path model, and graphical model using path diagrams. These models are interchangeable. Latent class probability models express l...
متن کاملDiagnostic concordance among dermatopathologists in basal cell carcinoma subtyping: Results of a study in a skin referral hospital in Tehran, Iran
Background: Basal cell carcinomas (BCC) are the most prevalent among non-melanoma skin cancers (NMSC), which correspond to the most common skin cancers. BCC histopathological subtyping is a problem in therapeutic management. Therefore, we have decided to perform a histopathologic study for better classification of BCCs based on interobserver diagnostic judgment. Methods: We conducted this cross...
متن کاملA Comparative Evaluation of the Sub-sectors' Linkages of Iran's Economy in the Last Five Decades: The Hybrid Approach of Input-Output Tables and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC)
In this paper, the hybrid modeling of Input-Output framework and MICMAC technique have been used to evaluates the inter-sectoral interactions between all sectors and activities of Iran’s economy based on the statistics aggregate Input-Output tables for five periods from 1973 to 2011. The main 15 sectors are elaborated and the results of the interactions were used to extract sectoral prioriti...
متن کاملProviding a New Model to Improving DEA-based Models in Multi-criteria Inventory Classification (Case Study: Pars Khazar)
Abstract Objective: Many organizations use the ABC classification method to control their large amount of inventories. The most common way to classify inventories is the ABC method. In traditional ABC classification, items are only classified according to one criteria. But there are other criteria that need to be considered in the inventory classification. The purpose of this study is to prese...
متن کاملAsymmetric Effects of Monetary Policy and Business Cycles in Iran using Markov-switching Models
This paper investigates the asymmetric effects of monetary policy on economic growth over business cycles in Iran. Estimating the models using the Hamilton (1989) Markov-switching model and by employing the data for 1960-2012, the results well identify two regimes characterized as expansion and recession. Moreover, the results show that an expansionary monetary policy has a positive and statist...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2004