NEW BMJ GUIDANCE PAPER: Calculating the sample size required for developing a clinical prediction model - with collaborators Maarten van Smeden Gary Collins Joie Ensor Kym Snell Carl Moons Frank Harrell @glen_martin1 Hans Reitsma bmj.com/content/368/bm…

Absence of evidence is not the same as evidence of absence. A clearer conclusion might be "the current study did not demonstrate enough evidence to demonstrate that a second dose of phenazopyridine on POD 1 improves void trial pass rates."

NEW PAPER (in Annals of Int Med): Transparent Reporting of Multivariable Prediction Models in Journal and Conference Abstracts:TRIPODStatement for Abstracts (paper 👉 tinyurl.com/y8gegb6p with examples of good reporting). Centre for Statistics in Medicine Oxford EQUATOR Network NIHR Oxford Biomedical Research Centre Medical Sciences NDORMS

Very helpful thread for those interested in developing clinical prediction models AUGSJournal @FPMRS

Nice to see this! Congrats! Duke Ob/Gyn

Thank you for this. Journal editors in OBGYN, please take note for prediction model studies! jclinepi.com/article/S0895-…

wired.com/story/ai-help-… via @wired AUGS ICS International Urogynecological Association (IUGA)

Good work. Hopefully useful for Duke Ob/Gyn

Q3: Look at Table 2 and Figure 1. Let’s help each other out. What is meant by the marginal mean? #fpmrschat

A must-read for all AUGS #prolapse surgeons; Elegant work by Pelvic Floor Disorders Network (PFDN) Donna Mazloomdoost J. Eric Jelovsek Matt Barber Emilylukaczmd Heidi Harvie

Must read historic stats articles for FPMRS fellows FPMRSfellows, @FPMRSJournal Absence of evidence is not evidence of absence pubmed.ncbi.nlm.nih.gov/7647644/

Available at riskcalc.duke.edu

Great summary for clinicians and clinician peer reviewers on interpreting area under the ROC curves in context of prediction models AUGS ICS thelancet.com/journals/landi…

BMJ The BMJ provides a wonderful holiday gift to all in urogynecology AUGS UROGYNECOLOGY ICS International Urogynecological Association (IUGA) to improve research quality in our field. Great summary of common statistical pitfalls. bmj.com/content/379/bm…

When you are working in urology there is no excuse for not talking clearly about causality in observational research after this got published in 4 leading journals auajournals.org/doi/10.1097/JU…

potential for predicting postpartum readmission for #hypertension and #preeclampsia including using advanced statistical and AI/ML approaches congrats team! Ghamar Bitar J. Eric Jelovsek @jennabeckham obgyn.onlinelibrary.wiley.com/doi/10.1111/14…

A topic of discussion in SALT yesterday. Hard Work & Love of the game. Thanks Ravenscroft Boys Soccer

Great perspective jamanetwork.com/journals/jama/… AUGS Fellows’ Pelvic Research Network

NEW PAPER out today in @BMJ_latest TRIPOD+AI: reporting recommendations for studies developing or validating prediction models for use in healthcare that use #machinelearning methods bmj.com/content/385/bm… #ArtificialIntelligence #AIstandards #OpenAccess Please share 🙏

Never thought this would happen…My fellowship thesis received enough citations to be a #TopCitedArticle for 2022 and 2023 in Neurourol Urodyn. Thanks to my amazing mentors, Dr. Cindy Amundsen and J. Eric Jelovsek! Feeling grateful for completing #URPS fellowship Duke Ob/Gyn. ☺️