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20072025
most citedMultiple imputation of covariates by fully conditional specification: accommodating the substantive model

500 citations

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21 papers · 1 filter

stat.AP2024★ 2 cited

Implementing Response-Adaptive Randomisation in Stratified Rare-disease Trials: Design Challenges and Practical Solutions

Rajenki Das, Nina Deliu, Mark Toshner +1

Although response-adaptive randomisation (RAR) has gained substantial attention in the literature, it still has limited use in clinical trials. Amongst other reasons, the implement…

stat.AP2024

Normative brain mapping of 3-dimensional morphometry imaging data using skewed functional data analysis

Marco Palma, Shahin Tavakoli, Julia Brettschneider +2

Tensor-based morphometry (TBM) aims at showing local differences in brain volumes with respect to a common template. TBM images are smooth but they exhibit (especially in diseased…

stat.AP2024

The NOSTRA model: coherent estimation of infection sources in the case of possible nosocomial transmission

David J Pascall, Chris Jackson, Stephanie Evans +8

Nosocomial infections have important consequences for patients and hospital staff: they worsen patient outcomes and their management stresses already overburdened health systems. A…

stat.AP2023★ 2 cited

Dynamic Factor Analysis with Dependent Gaussian Processes for High-Dimensional Gene Expression Trajectories

Jiachen Cai, Robert J. B. Goudie, Colin Starr +1

The increasing availability of high-dimensional, longitudinal measures of gene expression can facilitate understanding of biological mechanisms, as required for precision medicine.…

stat.AP2021★ 39 cited

Trends in COVID-19 hospital outcomes in England before and after vaccine introduction, a cohort study

Peter Kirwan, Andre Charlett, Paul Birrell +5

Widespread vaccination campaigns have changed the landscape for COVID-19, vastly altering symptoms and reducing morbidity and mortality. We estimate trends in mortality by month of…

stat.AP2021★ 11 cited

Bayesian multistate modelling of incomplete chronic disease burden data

Christopher Jackson, Belen Zapata-Diomedi, James Woodcock

A widely-used model for determining the long-term health impacts of public health interventions, often called a "multistate lifetable", requires estimates of incidence, case fatali…

stat.AP2021★ 107 cited

Hospitalisation risk for COVID-19 patients infected with SARS-CoV-2 variant B.1.1.7: cohort analysis

Tommy Nyberg, Katherine A. Twohig, Ross J. Harris +7

Objective: To evaluate the relationship between coronavirus disease 2019 (COVID-19) diagnosis with SARS-CoV-2 variant B.1.1.7 (also known as Variant of Concern 202012/01) and the r…

stat.AP2020★ 1 cited

Adding experimental treatment arms to Multi-Arm Multi-Stage platform trials in progress

Thomas Burnett, Franz König, Thomas Jaki

Multi-Arm Multi-Stage (MAMS) platform trials are an efficient tool for the comparison of several treatments. Suppose we wish to add a treatment to a trial already in progress, to a…

stat.AP2020★ 13 cited

A review of Bayesian perspectives on sample size derivation for confirmatory trials

Kevin Kunzmann, Michael J. Grayling, Kim May Lee +3

Sample size derivation is a crucial element of the planning phase of any confirmatory trial. A sample size is typically derived based on constraints on the maximal acceptable type…

stat.AP2019★ 46 cited

Calculating the Expected Value of Sample Information in Practice: Considerations from Three Case Studies

Anna Heath, Natalia R. Kunst, Christopher Jackson +6

Investing efficiently in future research to improve policy decisions is an important goal. Expected Value of Sample Information (EVSI) can be used to select the specific design and…

stat.AP2018★ 51 cited

Estimating the association between blood pressure variability and cardiovascular disease: An application using the ARIC Study

Jessica K. Barrett, Raphael Huille, Richard Parker +2

The association between visit-to-visit systolic blood pressure variability and cardiovascular events has recently received a lot of attention in the cardiovascular literature. But…

stat.AP2017

Exploiting routinely collected severe case data to monitor and predict influenza outbreaks

Alice Corbella, Xu-Sheng Zhang, Paul J. Birrell +4

Influenza remains a significant burden on health systems. Effective responses rely on the timely understanding of the magnitude and the evolution of an outbreak. For monitoring pur…

stat.AP2017★ 34 cited

Value of Information: Sensitivity Analysis and Research Design in Bayesian Evidence Synthesis

Christopher Jackson, Anne Presanis, Stefano Conti +1

Suppose we have a Bayesian model which combines evidence from several different sources. We want to know which model parameters most affect the estimate or decision from the model,…

stat.AP2016★ 68 cited

The coordinate-based meta-analysis of neuroimaging data

Pantelis Samartsidis, Silvia Montagna, Thomas E. Nichols +1

Neuroimaging meta-analysis is an area of growing interest in statistics. The special characteristics of neuroimaging data render classical meta-analysis methods inapplicable and th…

stat.AP2016

Using Ecological Propensity Score to Adjust for Missing Confounders in Small Area Studies

Yingbo Wang, Sylvia Richardson, Anna Hansell +1

Small area ecological studies are commonly used in epidemiology to assess the impact of area level risk factors on health outcomes when data are only available in an aggregated for…

stat.AP2016★ 1 cited

Modelling collinear and spatially correlated data

Silvia Liverani, Aurore Lavigne, Marta Blangiardo

In this work we present a statistical approach to distinguish and interpret the complex relationship between several predictors and a response variable at the small area level, in…

stat.AP2014★ 2 cited

Maximum likelihood and pseudo score approaches for parametric time-to-event analysis with informative entry times

Brian D. M. Tom, Vernon T. Farewell, Sheila M. Bird

We develop a maximum likelihood estimating approach for time-to-event Weibull regression models with outcome-dependent sampling, where sampling of subjects is dependent on the resi…

stat.AP2014★ 62 cited

Reconstructing transmission trees for communicable diseases using densely sampled genetic data

Colin J. Worby, Philip D. O'Neill, Theodore Kypraios +5

Whole genome sequencing of pathogens from multiple hosts in an epidemic offers the potential to investigate who infected whom with unparalleled resolution, potentially yielding imp…

stat.AP2011★ 5 cited

HIV dynamics and natural history studies: Joint modeling with doubly interval-censored event time and infrequent longitudinal data

Li Su, Joseph W. Hogan

Hepatitis C virus (HCV) coinfection has become one of the most challenging clinical situations to manage in HIV-infected patients. Recently the effect of HCV coinfection on HIV dyn…

stat.AP2008

Discussion of: Statistical analysis of an archeological find--skeptical counting challenges to an archaeological find

Sheila M. Bird

Discussion of ``Statistical analysis of an archeological find'' by Andrey Feuerverger [arXiv:0804.0079]

stat.AP2008★ 17 cited

Accounting for self-protective responses in randomized response data from a social security survey using the zero-inflated Poisson model

Maarten J. L. F. Cruyff, Ulf Böckenholt, Ardo van den Hout +1

In 2004 the Dutch Department of Social Affairs conducted a survey to assess the extent of noncompliance with social security regulations. The survey was conducted among 870 recipie…