68 citations · 118 across the 5 of their papers we have counts for
5 papers
A Bayesian factor analysis model for non-randomised staggered designs
Constantin Schmidt, Shaun R. Seaman, Beatrice Emmanouil +4
The employment of peer supporter workers starting in 2018 was one of the interventions deployed by National Health Service England as part of its Hepatitis C virus (HCV) eliminatio…
Evaluating the impact of local tracing partnerships on the performance of contact tracing for COVID-19 in England
Pantelis Samartsidis, Shaun R. Seaman, Abbie Harrison +7
Assessing the impact of an intervention using time-series observational data on multiple units and outcomes is a frequent problem in many fields of scientific research. In this pap…
Assessing the causal effect of binary interventions from observational panel data with few treated units
Pantelis Samartsidis, Shaun R. Seaman, Anne M. Presanis +2
Researchers are often challenged with assessing the impact of an intervention on an outcome of interest in situations where the intervention is non-randomised, the intervention is…
Bayesian log-Gaussian Cox process regression: applications to meta-analysis of neuroimaging working memory studies
Pantelis Samartsidis, Claudia R. Eickhoff, Simon B. Eickhoff +5
Working memory (WM) was one of the first cognitive processes studied with functional magnetic resonance imaging. With now over 20 years of studies on WM, each study with tiny sampl…
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…