You want to run an experiment where you anticipate finding a treatment effect. How large should your sample size be to have a reasonable chance of detecting significant results? In this manuscript, I present and explain the Stata code I use to address this question. The code uses simulations to...

Automatisiertes Maschinelles Lernen (AutoML) sowie Low-Code und No-Code versprechen, im Sinne des Citizen Developer-Konzepts eine einfachere Nutzung von Künstlicher Intelligenz (KI) indem die erforderlichen Programmierkenntnisse bzw. der Entwicklungsaufwand reduziert werden. Diese neuen...

We develop an R package panelView and a Stata package panelview for panel data visualization. They are designed to assist causal analysis with panel data and have three main functionalities: (1) they plot the treatment status and missing values in a panel dataset; (2) they visualize variables of...