University of Warwick

Understanding funding-related bias in gambling research: insights from unhealthy commodities industries and medical/pharmaceutical research – a scoping review

Despite the risk of funding-related bias (RoFRB) introduced by industry funding in gambling research, empirical investigations remain limited. To inform understanding of RoFRB in gambling research, this scoping review synthesized 52 peer-reviewed studies (2019–2024) spanning gamb...

Designing diary studies for academics and other ‘busy’ professionals: Challenging assumptions via the work-related diary design framework (WDDF)

The justification for decisions taken when designing diary studies receives limited commentary in the existing literature. However, where design decisions are recounted, often concerns are expressed relating to potential failure of diary studies, especially in studies with ‘busy’...

The progenitors and circumstellar environments of stripped-envelope interacting supernovae from BPASS

Abstract Understanding the progenitors of stripped-envelope interacting supernovae (SEISNe) is crucial for probing the final stages of massive star evolution. Despite this, their rarity means the nature of their progenitors remains poorly constrained. We investigate the progenito...

Community metabolism in dynamic redox landscapes

Microbial communities are fundamentally shaped by the diverse metabolic processes through which microbes extract energy from the chemical and light-driven potential gradients in their environment. Thus, predicting microbial community dynamics requires a quantitative framework gro...

Review of Particle Physics *

The Review summarizes much of particle physics and cosmology. Using data from previous editions, plus 3,200 new measurements from 903 papers, we list, evaluate, and average measured properties of gauge bosons and the recently discovered Higgs boson, leptons, quarks, mesons, and b...

Computable Bayesian Epistemology

Abstract Bayesian epistemology is broadly concerned with providing norms for rational belief and learning using the mathematics of probability theory. Many authors have worried that the theory is too idealized to accurately describe real agents. In this paper I argue that an emer...

Stability of Medicinal Nanoemulsions to Spaceflight: Insights From the StarMed Experiment

Space missions require liquid drug formulations that remain physically stable and exhibit predictable release under launch, microgravity, and handling stresses. This study examined melatonin‑loaded nanoemulsions flown on the MAPHEUS‑15 sounding rocket, comparing an uncoated nanoe...

Analysing the Evolution of Kenya’s Road Network since the 1950s using Historical andContemporary Road Datasets

Abstract. Kenya’s road network has undergone substantial but uneven transformation since the 1950s. This study compares historical road data derived from topographic maps using a deep learning-based extraction method with contemporary datasets from the Kenya Roads Board, in order...

Meta-analysis and network meta-analysis of time-to-event outcomes with non-proportional hazards: a Bayesian time-varying hazard ratio approach

Abstract Background Meta-analyses of time-to-event (TTE) outcomes, particularly in Health Technology Assessment (HTA), commonly use a hazard ratio (HR) scale. However, non-proportional hazards in included trials create difficulties. Existing methods are either too complex or not...