Abstract Objectives Discrete choice experiments (DCEs) are increasingly advocated as a
way to quantify preferences for health. However, increasing support does not necessarily …

Simulation studies are computer experiments that involve creating data by pseudo‐random
sampling. A key strength of simulation studies is the ability to understand the behavior of …

Publication bias and questionable research practices in primary research can lead to badly
overestimated effects in meta-analysis. Methodologists have proposed a variety of statistical …

Multiple Imputation and its Application The most up-to-date edition of a bestselling guide to
analyzing partially observed data In this comprehensively revised Second Edition of Multiple …

This paper is a systematic review of the methodology for person fit research targeted
specifically at methodologists in training. I analyze the ways in which researchers in the area …

In the absence of salient sensory cues to guide behavior, animals must still execute
sequences of motor actions in order to forage and explore. How such successive motor …

Background The diagnosis of hypertension has traditionally been based on blood-pressure
measurements in the clinic, but home and ambulatory measurements better correlate with …

Most epidemiological studies usually employ ambient air pollutant concentrations as a proxy
of personal exposure to air pollutants originating outdoors, which could lead to a biased …

Biologists routinely fit novel and complex statistical models to push the limits of our
understanding. Examples include, but are not limited to, flexible Bayesian approaches (eg …

Detecting changes of concepts, such as a change of customer preference for telecom
services, is very important in terms of prediction and decision applications in dynamic …