Fixed effects regression methods are used to analyze longitudinal data with repeated measures on both independent and dependent variables. They have the attractive feature of controlling for all stable characteristics of the individuals, whether measured or not. This is accomplished by using only within-individual variation to estimate the regression coefficients. This paper surveys the wide va...

background and aim: colon cancer is the third most prevalent cancer in iran. prolonged colon inflammation is an important factor, in the development of colon cancer. ginger has anti-inflammatory properties due to its content of [6]-gingerol and hence can play a role in the prevention of colon cancer. in this research the effects of ginger extract on reducing expression of the cox-2 gene in ht-2...

background: insulin receptor substrate (irs) type 1 is a main substrate for the insulin receptor, controls insulin signaling in skeletal muscle, adipose tissue, and the vascular, so it is an important candidate gene for insulin resistance (ir). we aimed to compare the  effects of the dietary approaches to stop hypertension (dash) and usual dietary advices (uda) on irs1 gene expression in women ...

By taking the governing measure of a Dirichlet process as essentially the realization of a Dirichlet process itself, a hierarchical Dirichlet process emerges. This distribution enables the Bayesian treatment of two level hierarchical random effects models, with results paralleling those of Ferguson (1973).

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The model is a DP mixture of normals for related random probability measures Hj . Each random measure is assumed to arise as a mixture Hj = F0 + (1 − )Fj of one common distribution F0 and a distribution Fj that is specific to the j-th submodel. See Mueller, Quintana and Rosner (2004) for details of the model. In summary, the implemented model is as follows. Without loss of generality we assume ...