We're representing #biostatselevated at #OneU@UofUDELPHI Data Science Symposium today 🌟 Talks by @UofUPHS faculty Dr. Jincheng Shen and PhD student Julia Bohman & with posters by PhD students Hoajia Li, Sima Najafzadeh & affiliated faculty Dr. Yue Zhang.
Our next journal club is Oct 11 at 11 am EST (This Friday). The speaker is our own member, Jonathan Chipman, from Utah University.
Zoom link: https://t.co/K4EreJhGkp
Title: Covariate-Adjusted Randomization Analyzed with Randomization-Based Inference
📢 Exciting new research alert! Dr. @JJ_Chipman's innovative study on Sequential Monitoring using the Second Generation P-Value with Type I error Controlled by Monitoring Frequency is out now - read it at https://t.co/ZVKgBpq5h3 #BiostatsElevated@UofUMedicine@UofUHealth
So proud of @amoafo_linda, who did an amazing job presenting and defending her PhD dissertation. Honored to have been part of her thesis committee. #BiostatsElevated
@ildiazm I am not as familiar with the history of science as you. Can you point me to the many tools for falsifiability beyond experiments? Also, I think it may be a block of salt not just a grain.
@ildiazm Why should I believe that this model represents reality somewhat accurately? Should mediation papers that report natural direct and indirect effects discuss the reality of this model?
@ildiazm I have always been uncomfortable with natural direct and indirect effects and the assumptions required for identification. Can you explain how you think about these from your nature viewpoint?
Excited to share my latest paper with @amoafo_linda and Elizabeth Platz; it develops a sensitivity analysis tool for evaluating the influence of unmeasured confounding in observational studies with time-to-event outcomes https://t.co/zJ4lB7qtvE