In epidemiology, overadjustment bias is defined as adjusting for a variable that increases
rather than decrease bias, while unnecessary adjustment is referred to as control for a …

Propensity score weighting methods are often used in non-randomized studies to adjust for
confounding and assess treatment effects. The most popular among them, the inverse …

Background To assess the nonresponse rates in a questionnaire survey with respect to
administrative register data, and to correct the bias statistically. Methods The Finnish …

In this issue of the Journal, Lash et al.(Am J Epidemiol. 2021; 190 (8): 1604–1612) show
how some previously published bias analyses could have been better. In investigation of …

Case-control studies are designed towards studying associations between risk factors and a
single, primary outcome. Information about additional, secondary outcomes is also collected …

Inverse probability weighting can be used to correct for missing data. New estimators for the
weights in the nonmonotone setting were introduced in 2018. These estimators are the …

The propensity methodology is widely used in medical research to compare different
treatments in designs with a nonrandomized treatment allocation. The inverse probability …

Missing attributes are ubiquitous in causal inference, as they are in most applied statistical
work. In this paper we consider various sets of assumptions under which causal inference is …

Standard statistical analyses of observational data often exclude valuable information from
individuals with incomplete measurements. This may lead to biased estimates of the …

Purpose Selection bias is a form of systematic error that can be severe in compromised
study designs such as case-control studies with inappropriate selection mechanisms or …