Our tenure in the investment business has made us keenly aware of a profound investor bias toward complexity. In this article, we examine the reasons for the bias, which we believe are behavioral in ...

This is a preview. Log in through your library . Abstract In occupational cancer epidemiology, many studies are carried out without access to information on smoking and other potential confounding ...

Recommendations for reporting instrumental variable analyses often include presenting the balance of covariates across levels of the proposed instrument and levels of the treatment. However, such ...

Data analyses usually make assumptions (which may be explicit or, more commonly, implicit): for example, “no unmeasured confounding”. When assumptions are untestable their potential importance can ...

Selection bias at study entry can arise for several reasons including selection of patients based on eligibility criteria related to the exposure and outcome, or from deviations between the date the ...