1. Introduction The Medicare Current Beneficiary Survey (MCBS) conducted by the Centers for Medicare and Medicaid Services (CMS), Department of Health and Human Services, is a continuous sample survey of Medicare beneficiaries residing in the United States and Puerto Rico. The MCBS collects data on access to health care, health status, source of care, health care utilization and costs, satisfac...

Prediction of random effects is an important problem with expanding applications. In the simplest context, the problem corresponds to prediction of the latent value (the mean) of a realized cluster selected via two-stage sampling. Best linear unbiased predictors developed from mixed models are widely used, but their development requires distributional assumptions or an infinite population frame...

We describe an extension of the pseudo maximum likelihood (PML) estimation method developed by Skinner (1989) to multistage strati ̄ed cluster sampling designs, including ̄nite population and unequal probability sampling. We conduct simulation studies to evaluate the performance of the proposed estimator. The estimator is also compared to the general estimating equation (GEE) method for linear r...

Driven by the rising need for model efficiency to enable timely and accurate data analytics, stochastic modelers in the actuarial community have been seeking innovative alternatives to increase model reality, dynamics, capacity, speed, and precision. These challenges have motivated this paper to demonstrate free research software tools for case studies in financial stochastic modeling. Case stu...

There are some experiences that researcher come across quite number of time for very large networks in the initial samples such that they cannot finish the sampling procedure. Two solutions have been proposed and used by marine biologists which we discuss in this article: i) Adaptive cluster sampling based on order statistics with a stopping rule, ii) Restricted adaptive cluster sampling. Until...

Randomized response is a research method to get accurate answers to sensitive questions in structured sample survey. Simple random sampling is widely used in surveys of sensitive questions but hard to apply on large targeted populations. On the other side, more sophisticated sampling regimes and corresponding formulas are seldom employed to sensitive question surveys. In this work, we developed...

Cluster-based case-control design refers to a design where the sampling unit is a cluster and the sampling probability depends on the responses from individuals within the cluster. Data from a cluster-based case-control design arise in many practical applications. For example, in some epidemiologic genetic studies, due to the low prevalence of the disease of interest, families with more members...