Estimands in Observational Studies
In this captivating episode, I’m excited to have Artemis Koukounari join me for an insightful conversation on the Estimand Framework.
In this captivating episode, I’m excited to have Artemis Koukounari join me for an insightful conversation on the Estimand Framework.
Today, we aim to take things a step further – moving beyond declarations to the practical implementation of ethical statistics. It’s not merely about having a set of guidelines but ensuring their use, driving change, and fostering a collective commitment to ethical data use.
Today, I am excited to share profound insights where I delve deep into the art of sketching my career path and crafting a strategic plan for success.
Join us as we delve into the origins of Estimands, discover its practical applications in the complex realm of depression studies, and witness the meticulous process of creating a practical guide that empowers research teams worldwide.
A crossover study is a longitudinal study where subjects receive multiple treatments in a sequence. This design allows subjects to serve as their own controls, enhancing the ability to address confounding factors. Crossover studies are particularly valuable in scenarios where treatments need to be compared, and their effects measured over multiple periods.
In the intricate world of statistics organizations, a common challenge often arises: how to balance increasing cost pressures while maintaining the quality and relevance of the produced tables. In this episode, I dive into this recurring scene, shedding light on the art of negotiation on the numbers of tables.
In today’s episode, I discuss the crucial topic of risk management in clinical trials with guest Jess Thompson. Jess, the founder of the Association of Clinical Research Project Managers, shares her extensive experience in the field, emphasizing the importance of proactive risk identification and collaborative communication within project teams.
In this episode, I interview Katharina Schueller, a statistician and entrepreneur, to discuss the importance of ethical guidelines for statisticians.
In this episode, I explore the steps that employees can take to prevent burnout and improve their overall experience at work.
Welcome to the third and last part of Moving from SAS to R where Thomas Neitmann joins us again to talk about transitioning from SAS to R.