A5036780526- Statistical Methods in Clinical Trials
- Health Systems, Economic Evaluations, Quality of Life
- Advanced Causal Inference Techniques
- Meta-analysis and systematic reviews
- Birth, Development, and Health
- Health disparities and outcomes
- Blood Pressure and Hypertension Studies
- Airway Management and Intubation Techniques
- Sepsis Diagnosis and Treatment
- Mental Health Research Topics
- Diet and metabolism studies
- Simulation-Based Education in Healthcare
- Innovations in Medical Education
- Cardiac Arrest and Resuscitation
- Delphi Technique in Research
- Reliability and Agreement in Measurement
- Biomedical and Engineering Education
- Primary Care and Health Outcomes
- Statistical Methods and Inference
- Cardiac Imaging and Diagnostics
- Nutritional Studies and Diet
- Health and Medical Research Impacts
- Health Policy Implementation Science
- Statistical Methods and Bayesian Inference
- Data Analysis with R
University of Sheffield
2016-2019
Farr Institute
2016-2017
University of Manchester
2016-2017
Manchester Academic Health Science Centre
2016-2017
Medical Research Council
2016
Riyadh Elm University
1974
"Obesity paradox" refers to an association between obesity and reduced mortality (contrary expected increased mortality). A common explanation is collider stratification bias: unmeasured confounding induced by selection bias. Here, we test this supposition through a realistic generative model.We quantify the bias in selected population using counterfactual causal analysis. We illustrate for range of scenarios, describing associations exposure (obesity), outcome (mortality), mediator (in...
Patient-reported outcome measures (PROMs) are now frequently used in randomised controlled trials (RCTs) as primary endpoints. RCTs longitudinal, and many have a baseline (PRE) assessment of the one or more post-randomisation assessments (POST). With such pre-test post-test RCT designs there several ways estimating sample size analysing data: analysis treatment means (POST); mean changes from pre- to (CHANGE); covariance (ANCOVA). Sample estimation using CHANGE ANCOVA methods requires...
In individually randomised trials we might expect interventions delivered in groups or by care providers to result clustering of outcomes for participants treated the same group provider. partially nested controlled (pnRCTs) this only occurs one trial arm, commonly intervention arm. It is important measure and account between-cluster variability design analysis. We compare analysis approaches pnRCTs with continuous outcomes, investigating impact on statistical inference cluster sizes, coding...
The Cohort Multiple Randomised Controlled Trial (cmRCT) is a newly proposed pragmatic trial design; recently several cmRCT have been initiated. This study tests the unresolved question of whether differential refusal in intervention arm leads to bias or loss statistical power and how deal with this.