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pro vyhledávání: '"Daniel Farewell"'
Autor:
Daniel Farewell, Mark D. Chatfield
In clinical trials and observational studies of clustered binary data, understanding between-cluster variation is essential: in sample size and power calculations of cluster randomised trials, for example, the intra-cluster correlation coefficient is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f77723ecd2cc978a6a8738e44c23b60
https://orca.cardiff.ac.uk/id/eprint/134043/1/icc_paper.pdf
https://orca.cardiff.ac.uk/id/eprint/134043/1/icc_paper.pdf
Publikováno v:
Scandinavian Journal of Statistics, Theory and Applications
Linear increments (LI) are used to analyse repeated outcome data with missing values. Previously, two LI methods have been proposed, one allowing non‐monotone missingness but not independent measurement error and one allowing independent measuremen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2207b81489af44a97cae9a845bfb391
Autor:
Vernon T. Farewell, Daniel Farewell
Publikováno v:
Biostatistics (Oxford, England)
A generic random effects formulation for the Dirichlet negative multinomial distribution is developed together with a convenient regression parameterization. A simulation study indicates that, even when somewhat misspecified, regression models based
Publikováno v:
Statistical Methods in Medical Research. 23:60-73
We discuss inference for longitudinal clinical trials subject to possibly informative dropout. A selection of available methods is reviewed for the simple case of trials with two timepoints. Using data from two such clinical trials, each with two tre
Autor:
Daniel Farewell
Publikováno v:
Biometrika. 97:65-78
We consider solutions to generalized estimating equations with singular working correlation matrices, of which the estimator of Diggle et al. (2007) is a special case. We give explicit conditions for consistent estimation when the pattern of observat
Publikováno v:
Lifetime Data Analysis. 16:118-135
One method of assessing the fit of an event history model is to plot the empirical standard deviation of standardised martingale residuals. We develop an alternative procedure which is valid also in the presence of measurement error and applicable to
Publikováno v:
Statistics in Medicine. 28:605-624
The study of longitudinal data is usually concerned with one or several response variables measured, possibly along with some covariates, at different points in time. In real-life situations this is often complicated by missing observations due to wh
Autor:
Chris Nicholas Hurt, Rachel Stenson, Daniel Farewell, David Gillespie, Anthony Barney Hawthorne, Kerenza Hood, Angela C. Casbard, Chris Probert, Nick Murray, Peter Barrett-Lee
Publikováno v:
Trials
TRIALS
TRIALS
Background In a non-inferiority (NI) trial, analysis based on the intention-to-treat (ITT) principle is anti-conservative, so current guidelines recommend analysing on a per-protocol (PP) population in addition. However, PP analysis relies on the oft
Publikováno v:
Statistics in medicine. 31(16)
Missing data arise in crossover trials, as they do in any form of clinical trial. Several papers have addressed the problems that missing data create, although almost all of these assume that the probability that a planned observation is missing does
Publikováno v:
Population Health Metrics, Vol 4, Iss 1, p 17 (2006)
Population Health Metrics
Population Health Metrics
Background It is widely believed that the social environment has an important influence on health, but there is less certainty about how to measure specific factors within the social environment that could link the neighbourhood of residence to a hea