INTRODUCTION Cutting back on the staff and equipment and also reduction of costs and devices, balanced distribution of resources for optimal use and prevention of unreasonable costs for patients are some advantages of the fulfillment of referral system process. Accordingly the purpose of the present study is to determine factors affecting the fulfillment of referral system process from the view...

Bayesian inference under a set of priors, called robust analysis, allows for estimation parameters within model and quantification epistemic uncertainty in quantities interest by bounded (or imprecise) probability. Iterative importance sampling can be used to estimate bounds on the quantity optimizing over priors. A method iterative when rely Markov chain Monte Carlo (MCMC) is proposed. To acco...

Respondent-driven sampling (RDS) is a network-based form of chain-referral sampling used to estimate attributes of populations that are difficult to access using standard survey tools. Although it has grown quickly in popularity since its introduction, the statistical properties of RDS estimates remain elusive. In particular, the sampling variability of these estimates has been shown to be much...

In cooperation with the Sports Association of the Palatinate (SBP), a survey was conducted on substance use by recreational and amateur athletes. Distribution of the online questionnaire took place by means of chain-referral sampling, and questions on substance use were presented using the randomized response technique (RRT) to protect the anonymity of respondents and prevent socially desirable...

ondent-driven s were found to progress very fast. Studies with large samples can be expected to proceed up to 20 times faster than with traditional methods; in fact, to prevent bias from temporal filtering, d, because of sation should ential recruits. findings, based on theoretical and empirical evidence, indicate that web-based RDS can be much faster, easier, and cheaper than both regular RDS ...