background abortions are of major public health concern in developing countries. in settings in which abortion is highly prohibited, the direct interview is not a reliable method to estimate the abortion rate. the indirect estimation methods to measure the rate of abortion might overcome this dilemma; they are practical methods to estimate the size of the hidden group who do not agree to partic...

This paper investigates a change-point estimation problem in the context of high-dimensional Markov random field models. Change-points represent a key feature in many dynamically evolving network structures. The change-point estimate is obtained by maximizing a profile penalized pseudo-likelihood function under a sparsity assumption. We also derive a tight bound for the estimate, up to a logari...

This review basically provided a conceptual framework for sample size calculation in epidemiologic studies with various designs and outcomes. The formula requirement of sample size was drawn based on statistical principles for both descriptive and comparative studies. The required sample size was estimated and presented graphically with different effect sizes and power of statistical test at 95...

network scale-up is an indirect method for estimating the size of hidden, hard-to-count or high risk populations. social network size estimation is the first step in this method. the present study was conducted with the purpose of estimating the social network size of the tehran province residents and its determinants.maximum likelihood estimation was applied to estimate people's network sizes ...

Structural equation modeling is a well-known technique for studying relationships among multivariate data. In practice, high dimensional nonnormal data with small to medium sample sizes are very common, and large sample theory, on which almost all modeling statistics are based, cannot be invoked for model evaluation with test statistics. The most natural method for nonnormal data, the asymptoti...