Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Samuel L. Brilleman"'
Publikováno v:
Journal of Statistical Software, Vol 97, Iss 1 (2021)
The simsurv R package allows users to simulate survival (i.e., time-to-event) data from standard parametric distributions (exponential, Weibull, and Gompertz), two-component mixture distributions, or a user-defined hazard function. Baseline covariate
Externí odkaz:
https://doaj.org/article/dc68154771a1452f9e884841c1e6326c
Autor:
Deborah Loxton, Stephen Gibson, Melissa L. Harris, Janice Yvonne Coles, John B. Dixon, Samuel L. Brilleman, Alison Flehr
Publikováno v:
Pain Medicine. 22:1916-1929
Objective To assess whether body pain was associated with different trauma histories (physical injury vs. interpersonal injury [IPI]) within Australian women, along with body pain and trauma history associations with biological and psychological (bio
Publikováno v:
Journal of Statistical Software, Vol 97, Iss 1, Pp 1-27 (2021)
Journal of Statistical Software; Vol 97 (2021); 1-27
Journal of Statistical Software; Vol 97 (2021); 1-27
The simsurv R package allows users to simulate survival (i.e., time-to-event) data from standard parametric distributions (exponential, Weibull, and Gompertz), two-component mixture distributions, or a user-defined hazard function. Baseline covariate
Autor:
Fay H. Johnston, Jonathan C. Broder, Tim Campbell, Emily Berger, Catherine L. Smith, Matthew Carroll, Caroline X. Gao, Rory Wolfe, Yuming Guo, Jillian Ikin, Samuel L. Brilleman
BackgroundClimate disasters such as wildfires, floods and droughts can introduce significant interruptions and trauma to impacted communities. Children and young people can be disproportionately affected with additional educational disruptions. Howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::937b2dbd03d2194a447ce40c8b37950d
https://doi.org/10.1101/2021.03.28.21254516
https://doi.org/10.1101/2021.03.28.21254516
Autor:
Rory Wolfe, Beverly J Eldridge, Jonathan C. Broder, Samuel L. Brilleman, Anne L Kissane, Gavin Williams, Mary P. Galea
Publikováno v:
Physical therapy. 100(2)
Background Physical therapists need to be able to evaluate high-level gross motor skills of children to determine their capacity to engage in activities such as running, jumping, hopping, and stair climbing. The High-Level Mobility Assessment Tool (H
Autor:
Lavinia Tran, Baki Billah, Samuel L. Brilleman, Christopher M. Reid, Molla Huq, Andrew D. Cochrane, Nazmul Karim
Publikováno v:
Interactive CardioVascular and Thoracic Surgery. 26:257-263
Objectives To develop a model for predicting long-term survival following coronary artery bypass graft surgery. Methods This study included 46 573 patients from the Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZCTS) registry
Autor:
Emma S. McBryde, Yayehirad Alemu Melsew, Romain Ragonnet, Samuel L. Brilleman, Edine W Tiemersma, James M. Trauer, Jennifer A. Flegg
BackgroundTuberculosis (TB) natural history remains poorly characterised and new investigations are impossible as it would be unethical to follow up TB patients without treating them. Estimates of TB burden and mortality rely heavily on TB self-recov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe9c496aaacb4e74fdf881a187f910a1
Publikováno v:
Transplant infectious disease : an official journal of the Transplantation SocietyREFERENCES. 21(6)
Background Cytomegalovirus (CMV) remains a significant contributor to morbidity and mortality following solid organ transplantation (SOT). While recurrent infection occurs in up to 30% of patients, its impact on mortality is unclear. The aim of this
Autor:
Margarita Moreno-Betancur, Michael J. Crowther, Rory Wolfe, Kevan R. Polkinghorne, Stephen P. McDonald, James Robertson Thomson, Samuel L. Brilleman
Publikováno v:
Epidemiology (Cambridge, Mass.). 30(1)
The relationship between body mass index (BMI) and patient survival in end-stage kidney disease is not well understood and has been the subject of much debate over recent years.This study used a latent class joint modeling approach to identify latent
Publikováno v:
Statistics in Medicine. 35:3583-3594
Shared parameter joint models provide a framework under which a longitudinal response and a time to event can be modelled simultaneously. A common assumption in shared parameter joint models has been to assume that the longitudinal response is normal