The HDI + ROPE decision rule is logically incoherent but we can fix it.

The Bayesian highest-density interval plus region of practical equivalence (HDI + ROPE) decision rule is an increasingly common approach to testing null parameter values. The decision procedure involves a comparison between a posterior highest-density interval (HDI) and a prespecified region of practical equivalence. One then accepts or rejects the null parameter value depending on the overlap (or lack thereof) between these intervals.

Experiences of COVID-19-Recovered Healthcare Workers in a Tertiary Hospital in the Philippines: A Mixed-Method Inquiry.

COVID-19 pandemic affected the mental health of the global population. Among the most vulnerable are the healthcare workers (HCWs) who got infected but returned to the frontline after recovery. Currently, there is a dearth of information and understanding on the psychological status and actual lived experience of the recovered HCWs in the Philippines.