We propose a novel randomization approach for randomized controlled trials (RCTs),
named the cube method. The cube method allows for the selection of balanced samples …

With a simple modification, we propose a strong improvement of the quality of balancing with
the cube method. The units are sorted in descending order according to their Mahalanobis …

Balanced sampling is a random method for sample selection, the use of which is preferable
when auxiliary information is available for all units of a population. However, implementing …

The paper evaluates the predictive validity of stated intentions for actual behaviour. In the
context of the 2017 Dutch parliamentary election, we compare how well polls based on …

In this study, five spatially balanced sampling methods, ie, generalized random-tessellation
stratified (GRTS), local pivotal method (LPM), spatially correlated Poisson sampling (SCPS) …

A case-cohort design is a two-phase sampling design frequently used to analyze censored
survival data in a cost-effective way, where a subcohort is usually selected using simple …

Several exact inference procedures for logistic regression require the simulation of a 0‐1
dependent vector according to its conditional distribution, given the sufficient statistics for …

A posteriori ratemaking in insurance uses a Bayesian credibility model to upgrade the
current premiums of a contract by taking into account policyholders' attributes and their claim …

For two-stage sampling, equal probability sampling method (epsem) by πps-SRS is
commonly used in practice. It also provides practical means for controlling cost and fieldwork …