A5087946847- Long-Term Effects of COVID-19
- Statistics Education and Methodologies
- Statistical Methods and Bayesian Inference
- Phytochemicals and Antioxidant Activities
- COVID-19 Clinical Research Studies
- Intensive Care Unit Cognitive Disorders
- Nutrition, Genetics, and Disease
- Dye analysis and toxicity
- Soil Geostatistics and Mapping
- Obstructive Sleep Apnea Research
- Language and cultural evolution
- Food Quality and Safety Studies
- Statistical Distribution Estimation and Applications
- Archaeology and Rock Art Studies
- COVID-19 and Mental Health
- Pleistocene-Era Hominins and Archaeology
- Mobile Health and mHealth Applications
- Data Analysis with R
- Horticultural and Viticultural Research
- Medicinal plant effects and applications
- Advanced Statistical Methods and Models
- Online and Blended Learning
- Online Learning and Analytics
- Emergency and Acute Care Studies
- Religion, Spirituality, and Psychology
University College London
2021-2025
Institute of Child Health
2022
University of Nigeria
2016
Abstract Background Long-COVID research to date focuses on outcomes in non-hospitalised vs. hospitalised survivors. However Emergency Department attendees (post-ED) presenting with acute COVID-19 may experience less supported recovery compared people admitted and discharged from hospital (post-hospitalised group, PH). Objective We evaluated predictors of specialty care referrals (SCR) those ongoing symptomatic Long-COVID, comparing post-ED PH adults. Methods This prospective observational...
Objectives COVID-19 studies report on hospital admission outcomes across SARS-CoV-2 waves of infection but knowledge the impact variants development Long COVID in survivors is limited. We sought to investigate outcomes, aiming compare adult hospitalised with known concern during our first and second UK waves, prior widespread vaccination. Design Prospective observational cross-sectional study. Setting Secondary care tertiary UK. Participants This study investigated 673 adults...
Ethnicity can influence susceptibility to SARS-CoV-2 infection, hospitalisation and death. Its association with ongoing symptomatic COVID-19 is unclear. We assessed if, among a population followed up after discharge from hospital COVID-19, adults Asian, black, mixed other backgrounds are at increased risk of physical mental health symptoms.
A method is proposed for the estimation of missing data in analysis covariance models. This based on obtaining an estimate observation that minimizes error sum squares. Specific derivation this carried out one-factor covariance, and numerical examples are given to show nature estimates produced. Parameter imputed then compared with those incomplete data.
Minority ethnic identification between physician and patient can reduce communication access barriers, improve physician-patient relationship, trust, health outcomes. Religion influences beliefs, behaviours, treatment decisions, Ethically contentious dilemmas in decisions are often entangled with religious beliefs. They feature more medical specialties such as Anaesthesia & Intensive Care, issues including informed consent for surgery, organ donation, transplant, transfusion, end-of-life...
We propose a two-parameter bounded probability distribution called the extended power distribution. This on $(0, 1)$ is similar to beta distribution, however there are some advantages which we explore. define moments and quantiles of this show that it possible give an $r$-parameter extension ($r>2$). also consider its complementary has flexibility over Kumaraswamy distributions. can be used as alternative since closed form for cumulative function. However, fitted data where samples...
Several factors may affect the quality of education (QoE). The challenges have intensified over past 20 months COVID-19. Our goal is to understand effect transitioning online-learning on QoE amongst those undertaking statistical courses. A total 714 evaluation forms were collected from students a period 12 years. Students asked rate overall research methods course. More than 90% agreed that was very good/excellent Despite online delivery course since 2020, more reported QoE. synergy...
Teaching statistics with software is a practical approach for introducing students to real world problems and how analyse data. There are different choices of teaching statistics, however R SPSS have been the most common choices. This has often caused dilemma researchers who an engineering background may prefer do their analysis within MATLAB instead learning new programming language they not use often. paper explores lesson learned from creating short course some useful tools using MATLAB.