قریشی, کامران
[ 1 ] - چگالی‌های پیشین با ساختار معین برای تحلیل بیزی جدول‌های پیشایندی کامل و ناقص
در تحلیل جدول‌های پیشایندی، اغلب محققان از چگالی‌های پیشین خاص برای پارامترهای مدل لگ خطی یا احتمال خانه‌های جدول استفاده می‌کنند. اما در عمل گاهی اطلاعات با ارزشی، ترجیحا، در خصوص نسبت بخت‌های (تعمیم یافته) وجود دارد. لذا محقق نیازمند به رهیافت قوی‌تری است که بتواند باور پیشین خود را روی نسبت بخت‌های تعمیم یافته قرار دهد. از این توزیع‌های پیشین به‌عنوان چگالی‌های پیشین با ساختار معین ...
[ 2 ] - Plain Answers to Several Questions about Association/Independence Structure in Complete/Incomplete Contingency Tables
In this paper, we develop some results based on Relational model (Klimova, et al. 2012) which permits a decomposition of logarithm of expected cell frequencies under a log-linear type model. These results imply plain answers to several questions in the context of analyzing of contingency tables. Moreover, determination of design matrix and hypothesis-induced matrix of the model will be discusse...
[ 3 ] - Partial Association Components in Multi-way Contingency Tables and Their Statistiical Analysis
In analyses of contingency tables made up of categorical variables, the study of relationship between the variables is usually the major objective. So far, many association measures and association models have been used to measure the association structure present in the table. Although the association measures merely determine the degree of strength of association between the study varia...
[ 4 ] - Effects of pentoxifylline and alendronate on fracture healing in ovariectomy-induced osteoporosis in rats
Osteoporosis is determined by decreased bone strength that increases the threat of fractures. The aim of this study was to evaluate the effects of pentoxifylline (PTX) and alendronate (ALN), on the stereological parameters, and gene expression in callus of fracture in an experimental rat model of ovariectomy-induced osteoporosis (OVX). The OVX was induced in 90 female rats. Fourteen weeks later...
[ 5 ] - Empirical estimates for various correlations in longitudinal-dynamic heteroscedastic hierarchical normal models
In this paper, we first define longitudinal-dynamic heteroscedastic hierarchical normal models. These models can be used to fit longitudinal data in which the dependency structure is constructed through a dynamic model rather than observations. We discuss different methods for estimating the hyper-parameters. Then the corresponding estimates for the hyper-parameter that causes the association...