It is often desired to rank different populations according to the value of some feature of each
population. For example, it may be desired to rank neighbourhoods according to some …

Recent advances in molecular biology and fluorescence microscopy imaging have made
possible the inference of the dynamics of molecules in living cells. Such inference allows us …

We consider the problem of inference on the signs of n> 1 parameters. We aim to provide 1−
α post hoc confidence bounds on the number of positive and negative (or non-positive) …

Background Thirty‐day mortality after hospitalization for stroke is commonly reported as a
quality indicator. However, the impact of adjustment for individual and/or neighborhood …

Problem of uncertainty of graph structure identification in random variable network is
considered. An approach for the construction of upper and lower confidence bounds for …

Objectives Postoperative wound dehiscence (PWD) is a serious complication to laparotomy,
leading to higher mortality, readmissions and cost. The aims of the present study are to …

Introduction A common quality indicator for monitoring and comparing hospitals is based on
death within 30 days of admission. An important use is to determine whether a hospital has …

In supervised learning, including regression and classification, conformal methods provide
prediction sets for the outcome/label with finite sample coverage for any machine learning …

In this paper, we consider the problem of simultaneously testing many two-sided hypotheses
when rejections of null hypotheses are accompanied by claims of the direction of the …

Background Reliable, easily accessible metrics of surgical quality are currently lacking. The
HARM (HospitAl length of stay, Readmission and Mortality) score is a composite measure …