Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Kushal S. Shah"'
Autor:
Ryan C Ungaro, Manasi Agrawal, Xian Zhang, Michael R Kosorok, Erica J Brenner, Michael D Kappelman, John Sperger, Kushal S Shah, Minxin Lu
Publikováno v:
BMJ Open, Vol 11, Iss 11 (2021)
Externí odkaz:
https://doaj.org/article/a78a6707ce6f4ad98982c28657ab8f86
Publikováno v:
Diabetes Technology & Therapeutics.
Autor:
Marianne S. Muhlebach, Juyan J. Zhou, Kushal S. Shah, William Stoudemire, Lisa Saiman, Xiaotong Jiang, Michael R. Kosorok
Publikováno v:
Journal of Cystic Fibrosis. 21:309-315
Barriers to implementing infection prevention and control (IPC) practices may be experienced by healthcare workers (HCWs) caring for people with CF (PwCF), PwCF, and their families. We hypothesized that these stakeholders from CF centers with early a
Autor:
M Valancius, Tarek M. Zikry, Hunyong Cho, Michael R. Kosorok, Sungduk Kim, D De Marchi, Helal El-Zaatari, D Bang, Kushal S. Shah
Publikováno v:
Biometrika. 108:529-533
SummaryIn this discussion, we examine the contributions of Qian et al. (2021) and potential applications of the newly developed estimator for the causal excursion effect in binary outcome data. Specifically, we consider extension of their method to c
Autor:
Anna R. Kahkoska, Kushal S. Shah, Michael R. Kosorok, Kellee M. Miller, Michael Rickels, Ruth S. Weinstock, Laura A. Young, Richard E. Pratley
Publikováno v:
Journal of Diabetes Science and Technology. :193229682211490
Background: The Wireless Innovation for Seniors with Diabetes Mellitus (WISDM) study demonstrated continuous glucose monitoring (CGM) reduced hypoglycemia over 6 months among older adults with type 1 diabetes (T1D) compared with blood glucose monitor
Autor:
Michael R. Kosorok, Ryan C. Ungaro, Xian Zhang, Jean-Frederic Colombel, Kushal S. Shah, Erica J. Brenner, Manasi Agrawal, Michael D. Kappelman, Minxin Lu, John Sperger
Publikováno v:
BMJ Open
BMJ Open, Vol 11, Iss 11 (2021)
medRxiv
article-version (status) pre
article-version (number) 1
BMJ Open, Vol 11, Iss 11 (2021)
medRxiv
article-version (status) pre
article-version (number) 1
ObjectivesDevelop an individualised prognostic risk prediction tool for predicting the probability of adverse COVID-19 outcomes in patients with inflammatory bowel disease (IBD).Design and settingThis study developed and validated prognostic penalise
Autor:
John Sperger, J.-F. Colombel, Michael D. Kappelman, Kushal S. Shah, Xiang Zhang, Minxin Lu, Michael R. Kosorok, Erica J. Brenner, Manasi Agrawal, Ryan C. Ungaro
Structured AbstractImportanceRisk calculators can facilitate shared medical decision-making1. Demographics, comorbidities, medication use, geographic region, and other factors may increase the risk for COVID-19-related complications among patients wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a8ca3eaabe6cd6875258cc1f62c1697
https://doi.org/10.1101/2021.01.15.21249889
https://doi.org/10.1101/2021.01.15.21249889
In recent years, the field of precision medicine has seen many advancements. Significant focus has been placed on creating algorithms to estimate individualized treatment rules (ITRs), which map from patient covariates to the space of available treat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fc33c3d9fc34d913be723e7ec299c0c
Autor:
Michael R. Kosorok, Joshua P. Zitovsky, Kushal S. Shah, Matthew C. B. Tsilimigras, John Sperger, Xinyi Li, Minxin Lu, Hunyong Cho
Publikováno v:
Statist. Sci. 35, no. 3 (2020), 396-399
We discuss “Linear mixed models with endogenous covariates: modeling sequential treatment effects with application to a mobile health study” by Qian, Klasnja and Murphy. In this discussion, we study when the linear mixed effects models with endog
Autor:
Michael R. Kosorok, Minxin Lu, Xian Zhang, John Sperger, Jean-Frederic Colombel, Michael D. Kappelman, Erica J. Brenner, Manasi Agrawal, Kushal S. Shah, Ryan C. Ungaro
Publikováno v:
Gastroenterology