Artificial Intelligence and Machine Learning: Innovations in Clinical Trial Data Automation

Jun 24, 2019 | Webinar

Presented June 24, 2019 at the DIA Global Annual Meeting Video On Demand With a focus toward achieving faster time to market, reducing R&D costs, and increasing clinical trial success rates, Artificial Intelligence (AI) and Machine Learning (ML) capabilities are...

How the Regulator’s View of AI is Unfolding in the US: A Lens on Ophthalmology

Apr 25, 2019 | Webinar

Recorded April 25, 2019 Webinar On Demand Artificial Intelligence (AI), Machine Learning, and Algorithms are different ways to describe the growing trend of new tools that can help screen and diagnose patients. With the first ophthalmic screening tool approved by the...

Biostatistics for Non-Statisticians: Understanding Different Types of Analyses and When to Use Each

Feb 21, 2019 | Webinar

Recorded February 21, 2019  Webinar On Demand Understanding the different types of statistical analyses used in clinical studies can help non-statisticians better understand their study design and results. If commonly used statistical phrases like “two-sample t-test,”...

Evaluation of Multiple Imputation Methods for Missing Diary Data for Statistical Analysis in Dry Eye Studies

Jul 12, 2018 | Publications and Posters

ARVO Annual Meeting, May 2018 Poster Missing data is a common occurrence when collecting patient responses via patient symptom diaries. Many methodologies exist for imputing missing data and are used to estimate statistical outcomes that would have been achieved had...

Ophthalmic Study Population Trends

Jul 11, 2018 | Publications and Posters

ARVO Annual Meeting, May 2012 Poster This research focuses on improving the accuracy associated with estimating the number of medical history (MedHx), concomitant medications (ConMeds), and adverse events (AEs) terms and related discrepancies for dry eye and ocular...