@dscharf3 profile picture
Daniel Scharfstein @dscharf3

Professor of Biostatistics, Department of Population Health Sciences, University of Utah School of Medicine

Joined May 2012
  • Tweets 327
  • Following 218
  • Followers 588
14 Photos and videos
Looking to connect. I’m on bluesky at @dscharf3@bsky.social
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Daniel Scharfstein retweeted
U of U Biostatistics@UofUBiostats
1 Nov 2024
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.
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Daniel Scharfstein retweeted
U of U Biostatistics@UofUBiostats
29 Oct 2024
#Biostatistics Faculty applications accepted until November 15! Collaborate with brilliant minds in a supportive environment, all while enjoying world-class recreation nearby. More info at bit.ly/JobsPHS #biostatselevated @UofUHealth @UofUResearch @UofUMedicine

Job Openings in PHS

medicine.utah.edu
U of U Biostatistics@UofUBiostats
25 Jul 2024
We're hiring! Seeking #biostatistics faculty, post doctoral fellows, and PhD Students to join our amazing division in #beUTAHful Salt Lake City. More info at bit.ly/JobsPHS. #biostatselevated #academics #postdocjobs #facultyjobs #phd #biostats @UofUMedicine @UofUHealth
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Daniel Scharfstein retweeted
Covariate Adjustment ASA BIOP Working Group@CAR_SWG
7 Oct 2024
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: umich.zoom.us/j/7573650566 Title: Covariate-Adjusted Randomization Analyzed with Randomization-Based Inference

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The Division of Biostatistics @UofUMedicine held our first annual retreat at the Red Butte Garden. Look at these happy faces. Come join us! #BiostatsElevated @UofUBiostats @UofUPHS
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📷 The Division of Biostatistics @UofUMedicine is building something special. Here we are at #JSM2024. We're recruiting faculty, post-docs and students. Come join us! #BiostatsElevated @UofUBiostats @UofUPHS @AmstatNews
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The Division of Biostatistics @UofUMedicine is recruiting faculty, postdocs & PhD students at #JSM2024 this weekend. Visit our booth or DM me to connect! #BiostatsElevated @UofUBiostats @UofUPHS @AmstatNews
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Daniel Scharfstein retweeted
U of U Biostatistics@UofUBiostats
15 Jul 2024
📢 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 bit.ly/AS715 #BiostatsElevated @UofUMedicine @UofUHealth
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Daniel Scharfstein retweeted
U of U Biostatistics@UofUBiostats
29 Apr 2024
🔬New publication alert! ‘Effect of Health Service Area on Primary Care Physician Provision of Low-Value Cancer Screening’ in @AnnalsofIM. Check it out 👉bit.ly/AIM423 @JJ_Chipman #BiostatsElevated @UofUMedicine @UofUHealth @UofUResearch
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Daniel Scharfstein retweeted
U of U Biostatistics@UofUBiostats
24 Apr 2024
Congratulations to Drs. Jincheng Shen, @dscharf3 & team on approval for @PCORI #researchfunding to study Machine Learning Approaches to Personalized Lung Cancer Therapy with Real-World Data. Learn more @ bit.ly/shenPCORI #BiostatsElevated @UofUHealth @UofUPHS @uofumedicine
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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
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It was wonderful to have Joe Hogan @jwhogan42 from @BrownBiostats visit us @UofUBiostats. #BiostatsElevated
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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 arxiv.org/abs/2403.02539
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#AcademicTwitter What license should I select when submitting a paper to arxiv?
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Daniel Scharfstein retweeted
Rebecca Barter@rlbarter
28 Feb 2024
📢My co-author @bbiinnyyuu and I are thrilled to announce the online release of our MIT Press book "Veridical Data Science: The Practice of Responsible Data Analysis and Decision Making" (vdsbook.com), an essential resource for creating trustworthy data-driven results

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Daniel Scharfstein retweeted
Alec Chapman@abchapman93
6 Feb 2024
I'm excited to share our study included in @Health_Affairs special issue on Housing and Health using #NLProc to evaluate the impact of temporary financial assistance on long-term housing instability in the #veteransaffairs SSVF #homelessness program. 🧵 healthaffairs.org/doi/full/1…

Temporary Financial Assistance Reduced The Probability Of Unstable Housing Among Veterans For More...

The Department of Veterans Affairs (VA) aims to reduce homelessness among veterans through programs such as Supportive Services for Veteran Families (SSVF). An important component of SSVF is tempor...

healthaffairs.org
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Daniel Scharfstein retweeted
Alec Chapman@abchapman93
6 Feb 2024
I'll be speaking about this paper today along with authors of other studies in the special issue today at a @Health_Affairs webinar - should be a great event! healthaffairs.org/do/10.1377… @SLC_IDEAS @UofUPHS

Briefing: Housing And Health | Health Affairs Event

Authors in the February 2024 Housing And Health theme issue will present their work, engage in discussion, and answer questions.

healthaffairs.org
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If you or anyone you know is interested in a post-doc focused on developing and applying methods for the analysis of EHR data, please let me know. @UofUBiostats #BiostatisticsElevated.
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Daniel Scharfstein retweeted
U of U PHS@UofUPHS
7 Dec 2023
So proud of @JJChipman, @PharmDerington, @drdustijones, & Dr. Yizhen Xu on their acceptance in the 2024-2025 #VPCAT Scholar Program! @UofUBiostats @UofUHSIR @UofUCPS
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Great research led by @UofUBiostats PhD student @norafino! pubmed.ncbi.nlm.nih.gov/3800…

Evaluation of novel candidate filtration markers from a global metabolomic discovery for glomerular...

Creatinine and cystatin-C are recommended for estimating glomerular filtration rate (eGFR) but accuracy is suboptimal. Here, using untargeted metabolomics data, we sought to identify candidate...

pubmed.ncbi.nlm.nih.gov
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