271 citations
- University of CambridgeGB7 papers
- MRC Biostatistics UnitGB4 papers
- Bambino Gesù Children's HospitalIT1 paper
- Centre de Physique ThéoriqueFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Communicating Diet and Activity Research1 paper
- Finnish Environment InstituteFI1 paper
- Gran Sasso Science InstituteIT1 paper
- Imperial College LondonGB1 paper
- Institute for Scientific InterchangeIT1 paper
- Istituto Superiore di SanitàIT1 paper
- London School of Hygiene & Tropical MedicineGB1 paper
10 papers
Longitudinal cardio-respiratory fitness prediction through wearables in free-living environments
Dimitris Spathis, Ignacio Perez-Pozuelo, Tomas I. Gonzales +4
Cardiorespiratory fitness is an established predictor of metabolic disease and mortality. Fitness is directly measured as maximal oxygen consumption (VO), or indirectly as…
A pseudospectral method for investigating the stability of linear population models with two physiological structures
Alessia Andò, Simone De Reggi, Davide Liessi +1
The asymptotic stability of the null equilibrium of a linear population model with two physiological structures formulated as a first-order hyperbolic PDE is determined by the spec…
Bayesian multistate modelling of incomplete chronic disease burden data
Christopher Jackson, Belen Zapata-Diomedi, James Woodcock
A widely-used model for determining the long-term health impacts of public health interventions, often called a "multistate lifetable", requires estimates of incidence, case fatali…
SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data
Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis +3
Machine learning and deep learning have shown great promise in mobile sensing applications, including Human Activity Recognition. However, the performance of such models in real-wo…
Pleiotropy robust methods for multivariable Mendelian randomization
Andrew J. Grant, Stephen Burgess
Mendelian randomization is a powerful tool for inferring the presence, or otherwise, of causal effects from observational data. However, the nature of genetic variants is such that…
A Bayesian framework for case-cohort Cox regression: application to dietary epidemiology
Andrew Yiu, Robert J. B. Goudie, Stephen J. Sharp +2
The case-cohort study design bypasses resource constraints by collecting certain expensive covariates for only a small subset of the full cohort. Weighted Cox regression is the mos…