An Approach to Perform Expert Elicitation for Engineering Design Risk Analysis: Methodology and Experimental ResultsJournal of the Royal Statistical Society. Series A: Statistics in Society - Tập 177 Số 2 - Trang 475-497 - 2014
Alessandra Babuscia, Kar‐Ming Cheung
SummaryExpert elicitation is increasingly applied to different research areas.
Multiple approaches have been implemented, but the development of methods to
quantify experts' biases and calibration represents a challenge. As a result,
the integration of multiple and often conflicting opinions can be demanding,
owing to the complexity of properly weighting experts' contributions. We propose
an appro... hiện toàn bộ
On Square Ordinal Contingency Tables: A Comparison of Social Class and Income Mobility for the Same IndividualsJournal of the Royal Statistical Society. Series A: Statistics in Society - Tập 172 Số 2 - Trang 483-493 - 2009
D. R. Cox, Michelle Jackson, Shiwei Lu
SummarySquare contingency tables with matching ordinal rows and columns arise in
particular as empirical transition matrices and the paper considers these in the
context of social class and income mobility tables. Such tables relate the
socio-economic position of parents to the socio-economic position of their child
in adulthood. The level of association between parental and child socio-economic
p... hiện toàn bộ
A Comparison of Joint Models for Longitudinal and Competing Risks Data, with Application to an Epilepsy Drug Randomized Controlled TrialJournal of the Royal Statistical Society. Series A: Statistics in Society - Tập 181 Số 4 - Trang 1105-1123 - 2018
Graeme L. Hickey, Pete Philipson, Andrea Jorgensen, Paula Williamson
SummaryJoint modelling of longitudinal data and competing risks has grown over
the past decade. Despite the recent methodological developments, there are still
limited options for fitting these models in standard statistical software
programs, which prohibits their adoption by applied biostatisticians. We
summarize four published models, each of which has software available for model
estimation. E... hiện toàn bộ
A Hazard Model of the Probability of Medical School Drop-Out in the UKJournal of the Royal Statistical Society. Series A: Statistics in Society - Tập 167 Số 1 - Trang 157-178 - 2004
Wiji Arulampalam, Robin Naylor, Jeremy Smith
SummaryFrom individual level longitudinal data for two entire cohorts of medical
students in UK universities, we use multilevel models to analyse the probability
that an individual student will drop out of medical school. We find that
academic preparedness—both in terms of previous subjects studied and levels of
attainment therein—is the major influence on withdrawal by medical students.
Additiona... hiện toàn bộ
A Re-Evaluation of Random-Effects Meta-AnalysisJournal of the Royal Statistical Society. Series A: Statistics in Society - Tập 172 Số 1 - Trang 137-159 - 2009
Julian P. T. Higgins, Simon G. Thompson, David J. Spiegelhalter
SummaryMeta-analysis in the presence of unexplained heterogeneity is frequently
undertaken by using a random-effects model, in which the effects underlying
different studies are assumed to be drawn from a normal distribution. Here we
discuss the justification and interpretation of such models, by addressing in
turn the aims of estimation, prediction and hypothesis testing. A particular
issue that ... hiện toàn bộ
Prediction in Multilevel Generalized Linear ModelsJournal of the Royal Statistical Society. Series A: Statistics in Society - Tập 172 Số 3 - Trang 659-687 - 2009
Anders Skrondal, Sophia Rabe‐Hesketh
SummaryWe discuss prediction of random effects and of expected responses in
multilevel generalized linear models. Prediction of random effects is useful for
instance in small area estimation and disease mapping, effectiveness studies and
model diagnostics. Prediction of expected responses is useful for planning,
model interpretation and diagnostics. For prediction of random effects, we
concentrate... hiện toàn bộ