Exited to share that my paper “Analysis of survival outcomes using likelihood ratio test in trials incorporating patient’s treatment choice” is published.
https://t.co/4zOiE4gSGw
Susan Halabi, PhD, professor of biostatistics and bioinformatics (B&B), received the 21st annual Janet L. Norwood Award for Outstanding Achievement by a Woman in Statistical Sciences from @uabSOPH. Halabi is known for her research on #prostatecancer.
https://t.co/HYGC8NuQ3Z
"Fairness in AI refers to a collection of methods to correct algorithmic bias in machine learning. Bias could result from preferences or exclusions in training data or how algorithms are designed.
#ArtificialIntelligence
Trustworthy AI is a term used to describe AI that is transparent, lawful, ethically adherent, technically robust in each stage of its lifecycle, from design to development, deployment and use.
#ArtificialIntelligence#MachineLearning#deeplearning
I am excited to announce that I have accepted a new position as Research Biostatistician at @RTI_Intl ! I want to thank everyone who supported me and guided me over the past few years. I am looking forward to this new opportunity!
MRIMath is at the forefront of trustworthy and responsible artificial intelligence in wide scale application
Click on the link below to learn more about trustworthy AI systems and how they are critical in harnessing AI in valuable ways.
https://t.co/W4gLENrERm
#trustworhtyai#ai