Zobrazeno 1 - 10
of 300
pro vyhledávání: '"Crowther Michael J"'
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:
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
Autor:
Crowther Michael J, Riley Richard D, Staessen Jan A, Wang Jiguang, Gueyffier Francois, Lambert Paul C
Publikováno v:
BMC Medical Research Methodology, Vol 12, Iss 1, p 34 (2012)
Abstract Background An Individual Patient Data (IPD) meta-analysis is often considered the gold-standard for synthesising survival data from clinical trials. An IPD meta-analysis can be achieved by either a two-stage or a one-stage approach, dependin
Externí odkaz:
https://doaj.org/article/37c8bb5ee0fb4fccaab1391345e55db2
Simulation studies allow us to explore the properties of statistical methods. They provide a powerful tool with a multiplicity of aims; among others: evaluating and comparing new or existing statistical methods, assessing violations of modelling assu
Externí odkaz:
http://arxiv.org/abs/1909.03813
Survival models incorporating random effects to account for unmeasured heterogeneity are being increasingly used in biostatistical and applied research. Specifically, unmeasured covariates whose lack of inclusion in the model would lead to biased, in
Externí odkaz:
http://arxiv.org/abs/1810.08140
Autor:
Gasparini, Alessandro, Abrams, Keith R., Barrett, Jessica K., Major, Rupert W., Sweeting, Michael J., Brunskill, Nigel J., Crowther, Michael J.
Electronic health records are being increasingly used in medical research to answer more relevant and detailed clinical questions; however, they pose new and significant methodological challenges. For instance, observation times are likely correlated
Externí odkaz:
http://arxiv.org/abs/1808.00419