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pro vyhledávání: '"Crowther, A J"'
Target selection is crucial in pharmaceutical drug discovery, directly influencing clinical trial success. Despite its importance, drug development remains resource-intensive, often taking over a decade with significant financial costs. High failure
Externí odkaz:
http://arxiv.org/abs/2409.16327
Autor:
Gasparini, Alessandro, Crowther, Michael J., Hoogendijk, Emiel O., Li, Fan, Harhay, Michael O.
Stepped wedge cluster-randomized trial (CRTs) designs randomize clusters of individuals to intervention sequences, ensuring that every cluster eventually transitions from a control period to receive the intervention under study by the end of the stud
Externí odkaz:
http://arxiv.org/abs/2404.14840
Autor:
Chikwati, Raylton P. a, b, ⁎, Jaff, Nicole G. a, Mahyoodeen, Nasrin Goolam c, Micklesfield, Lisa K. d, Ramsay, Michéle b, Gómez-Olivé, F. Xavier e, Mohamed, Shukri F. f, Choma, Solomon S.R. g, George, Jaya A. a, h, i, Crowther, Nigel J. a, i
Publikováno v:
In Maturitas September 2024 187
Autor:
Crowther, Michael J.
In this paper I describe some substantial extensions to the survsim command for simulating survival data. survsim can now simulate survival data from a parametric distribution, a custom/user-defined distribution, from a fitted merlin model, from a sp
Externí odkaz:
http://arxiv.org/abs/2110.10414
Multi-state survival analysis considers several potential events of interest along a disease pathway. Such analyses are crucial to model complex patient trajectories and are increasingly being used in epidemiological and health economic settings. Mul
Externí odkaz:
http://arxiv.org/abs/2104.14483
Autor:
Weibull, Caroline E., Lambert, Paul C., Eloranta, Sandra, Andersson, Therese M. L., Dickman, Paul W., Crowther, Michael J.
As cancer patient survival improves, late effects from treatment are becoming the next clinical challenge. Chemotherapy and radiotherapy, for example, potentially increase the risk of both morbidity and mortality from second malignancies and cardiova
Externí odkaz:
http://arxiv.org/abs/2012.13926
The R package merlin performs flexible joint modelling of hierarchical multi-outcome data. Increasingly, multiple longitudinal biomarker measurements, possibly censored time-to-event outcomes and baseline characteristics are available. However, there
Externí odkaz:
http://arxiv.org/abs/2007.14109
Accelerated failure time (AFT) models are used widely in medical research, though to a much lesser extent than proportional hazards models. In an AFT model, the effect of covariates act to accelerate or decelerate the time to event of interest, i.e.
Externí odkaz:
http://arxiv.org/abs/2006.06807
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