Research Posters

Application of machine learning methods for the analysis of randomised controlled trials: A systematic review

Xiao Xuan Tan

ISCB

Causal inference methods to account for compliance in trials of device interventions

Consuelo Nohpal de la Rosa

ICTMC

Forest-based causal machine learning methods identify drivers of treatment effect heterogeneity in trials well

Ellie Van Vogt

ISCB

How is engagement reported in digital mental health interventions?

Jack Elkes

ICTMC

Improving the Analysis and Interpretation of Studies Within A Trial using Bayesian Methods and ACCEPT Analyses

Suzie Cro

ICTMC

Introducing retrieved dropout reference-based centred multiple imputation for estimation of treatment policy strategies with missing data

Suzie Cro

ICTMC

Are randomised trials addressing clear and useful questions?

Suzie Cro

ICTMC

Combining engagement measures to identify
groups from usage patterns in digital mental
health interventions (DMHIs)

Jack Elkes

ICTMC

How inclusive were UK
based randomised controlled trials of COVID 19 vaccines? A systematic review investigating enrolment of Black adults
and adult ethnic minorities

Hibba Herieka

ICTMC

How to improve the efficiency of group sequential designs by optimising the timing of interim analyses?

Zhangyi He

ICTMC

Incorporating clinicians elicited informative prior distributions into planned Bayesian analysis

Leila Janani

ICTMC

Leveraging the natural structure of adverse events for signal detection in randomised controlled trials: a review of statistical methods

Laetita de Abreu Nunes

ICTMC