In the matched analysis of an observational study, confounding on covariates X is addressed
by comparing members of a distinguished group (Z = 1) to controls (Z = 0) only when they …

Among matching techniques for observational studies, full matching is in principle the best,
in the sense that its alignment of comparable treated and control subjects is as good as that …

In randomized experiments, treatment and control groups should be roughly the same—balanced—in
their distributions of pretreatment variables. But how nearly so? Can descriptive …

The propensity score collapses the covariates of an observational study into a single
measure summarizing their joint association with treatment conditions; prognostic scores …

The spatial segregation of the US population by socioeconomic position and especially race/ethnicity
suggests that the social contexts or “neighborhoods” in which people live may …

Neighborhood-level interventions provide an opportunity to better understand the impact that
neighborhoods have on health. In 2004, municipal authorities in Medellín, Colombia, built …

This paper collects facts about the number of occupied boxes in the classical balls-in-boxes
occupancy scheme with infinitely many positive frequencies: equivalently, about the number …

Observational studies compare subjects who received a specified treatment to others who did
not, without controlling assignment to treatment and comparison groups. When the groups …

… CA HOSMAN, BB HANSEN AND PW HOLLAND … (Code for these and other
computations discussed in the paper appears in a supplement [Hosman, Hansen and Holland …

The glucagon-like peptide-1 receptor (GLP-1R) is a major type 2 diabetes therapeutic target.
Stimulated GLP-1Rs are rapidly desensitized by β-arrestins, scaffolding proteins that not …