Shaun R Seaman
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Explore the profile of Shaun R Seaman including associated specialties, affiliations and a list of published articles.
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49
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3030
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Recent Articles
1.
Gkatzionis A, Seaman S, Hughes R, Tilling K
Stat Methods Med Res
. 2025 Mar;
:9622802241306860.
PMID: 40025692
Collider bias occurs when conditioning on a common effect (collider) of two variables . In this article, we quantify the collider bias in the estimated association between exposure and outcome...
2.
Seaman S, Keogh R
Biom J
. 2024 Nov;
66(8):e70010.
PMID: 39579051
Marginal structural models (MSMs) are often used to estimate causal effects of treatments on survival time outcomes from observational data when time-dependent confounding may be present. They can be fitted...
3.
Nosyk B, Min J, Homayra F, Kurz M, Guerra-Alejos B, Yan R, et al.
JAMA
. 2024 Oct;
332(21):1822-1831.
PMID: 39418046
Importance: Previous studies on the comparative effectiveness between buprenorphine and methadone provided limited evidence on differences in treatment effects across key subgroups and were drawn from populations who use primarily...
4.
An evaluation of sample size requirements for developing risk prediction models with binary outcomes
Pavlou M, Ambler G, Qu C, Seaman S, White I, Omar R
BMC Med Res Methodol
. 2024 Jul;
24(1):146.
PMID: 38987715
Background: Risk prediction models are routinely used to assist in clinical decision making. A small sample size for model development can compromise model performance when the model is applied to...
5.
Samartsidis P, Seaman S, Harrison A, Alexopoulos A, Hughes G, Rawlinson C, et al.
Biostatistics
. 2023 Dec;
25(3):867-884.
PMID: 38058013
Assessing the impact of an intervention by using time-series observational data on multiple units and outcomes is a frequent problem in many fields of scientific research. Here, we propose a...
6.
Deakin C, De Stavola B, Littlejohn G, Griffiths H, Ciciriello S, Youssef P, et al.
JAMA Netw Open
. 2023 Jun;
6(6):e2320851.
PMID: 37382956
Importance: There is a need for observational studies to supplement evidence from clinical trials, and the target trial emulation (TTE) framework can help avoid biases that can be introduced when...
7.
Pascall D, Vink E, Blacow R, Bulteel N, Campbell A, Campbell R, et al.
J Infect
. 2023 Jun;
87(2):128-135.
PMID: 37270070
Objectives: To determine how the intrinsic severity of successively dominant SARS-CoV-2 variants changed over the course of the pandemic. Methods: A retrospective cohort analysis in the NHS Greater Glasgow and...
8.
Keogh R, Gran J, Seaman S, Davies G, Vansteelandt S
Stat Med
. 2023 Apr;
42(13):2191-2225.
PMID: 37086186
Longitudinal observational data on patients can be used to investigate causal effects of time-varying treatments on time-to-event outcomes. Several methods have been developed for estimating such effects by controlling for...
9.
Seaman S, Samartsidis P, Kall M, De Angelis D
J R Stat Soc Ser C Appl Stat
. 2022 Aug;
PMID: 35942006
Understanding the trajectory of the daily number of COVID-19 deaths is essential to decisions on how to respond to the pandemic, but estimating this trajectory is complicated by the delay...
10.
Jackson C, Tom B, Kirwan P, Mandal S, Seaman S, Kunzmann K, et al.
Stat Methods Med Res
. 2022 Jul;
31(9):1656-1674.
PMID: 35837731
We compare two multi-state modelling frameworks that can be used to represent dates of events following hospital admission for people infected during an epidemic. The methods are applied to data...