A5040560352- Vasculitis and related conditions
- Bayesian Methods and Mixture Models
- Statistical Methods and Bayesian Inference
- Otitis Media and Relapsing Polychondritis
- Advanced Causal Inference Techniques
- Statistical Methods in Clinical Trials
- Atherosclerosis and Cardiovascular Diseases
- Statistical Methods and Inference
- Health Systems, Economic Evaluations, Quality of Life
- Mycobacterium research and diagnosis
- Coagulation, Bradykinin, Polyphosphates, and Angioedema
- Astro and Planetary Science
- Gaussian Processes and Bayesian Inference
- Renal Diseases and Glomerulopathies
- Advanced Clustering Algorithms Research
- Solar and Space Plasma Dynamics
- Face and Expression Recognition
- Complex Network Analysis Techniques
- Cell Adhesion Molecules Research
- Long-Term Effects of COVID-19
- Bayesian Modeling and Causal Inference
- COVID-19 Clinical Research Studies
- Tuberculosis Research and Epidemiology
- Chronic Disease Management Strategies
- Microbial Natural Products and Biosynthesis
Trinity College Dublin
2016-2025
University College Dublin
2012-2021
National Centre for Pharmacoeconomics
2019
St. James's Hospital
2019
University of Cambridge
1998
Taylor University
1987
University of Auckland
1973
Abstract The analysis of network data is an area that rapidly growing, both within and outside the discipline statistics. This review provides a concise summary methods models used in statistical data, including Erdős–Renyi model, exponential family class models, recently developed latent variable models. Many are illustrated by application to well‐known Zachary karate dataset. Software routines available for implementing emphasized throughout. aim this paper provide with enough detail about...
Nine different strains of mycobacteria grown on media deficient in iron all produced mycobactins. Most one mycobactin great preponderance. Mycobacteria from clearly distinct taxonomic groups gave mycobactins differing the structure their nuclei. One group taxonomically related having same nucleus but with distributions side chains within homologous mixtures. Simple methods are described for identifying a small scale; these may be value classifying mycobacteria. Structures proposed A...
The BayesLCA package for R provides tools performing latent class analysis within a Bayesian setting. Three methods fitting the model are provided, incorporating an expectation-maximization algorithm, Gibbs sampling and variational Bayes approximation. article briefly outlines methodology behind each of these techniques discusses some technical difficulties associated with them. Methods to remedy problems also described. Visualization included, as well criteria aid selection.
SARS-CoV-2 infection causes a wide spectrum of disease severity. Identifying the immunological characteristics severe and risk factors for their development are important in management COVID-19. This study aimed to identify rank clinical features associated with progression COVID-19 order investigate an signature disease. One hundred eight patients positive PCR were recruited. Routine laboratory markers measured, as well myeloid lymphoid whole-blood immunophenotyping measurement...
Mycobactin S has been isolated from Mycobacterium smegmatis and sp. Olitzky & Gershon, strain 2, mycobactin H M. thermoresistible; all three organisms were grown on synthetic media of low iron content. These two mycobactins are mixtures compounds having the same nucleus but differing in their fatty side chains. The a chemical structure identical with that T differs optical configuration at beta-carbon atom hydroxy acid fragment; is whereas R (the previous assignment this was incorrect)....
Abstract Background Identification of those who are most at risk developing specific patterns disease across different populations is required for directing public health policy. Here, we contrast prevalence and cross-national incidence, co-occurrence related factors population samples from the U.S., Canada, England Ireland. Methods Participants ( n = 62,111) were drawn US Health Retirement Study 10,858); Canadian Longitudinal on Ageing 36,647); English 7938) The Irish 6668). Self-reported...
The benefits of on-site analysis environmental pollutants are well known, with such techniques increasing sample throughput and reducing the overall cost pollution level monitoring. This article describes a transportable time-of-flight (TOF) mass spectrometer, based upon converging, annular TOF (CAT) arrangement. instrument, CAT or T-CAT is battery powered self-contained. vacuum chamber never vented kept at very low pressure, even during analysis. Sample gases admitted to spectrometer via...
Colony changes from rough to smooth were observed in a strain of mycobacterium ATCC 607 after exposure phages D29 and B 4 . The colonies surviving these two both lysogenic. Increased nitrate reductase Tween 80 hydrolytic activities accompanied lysogenization. Loss lysogeny was by conversion the colony type decrease activities. rapid loss gain multiple characteristics suggested that genetic control lies plasmid mycobacteria.
A single pure component was isolated from mycobactin P by countercurrent distribution; its side chain is n-cis-octadec-2-enoyl; purity and molecular structure were confirmed mass spectrometry of aluminium complex. The separation ferric complexes mycobactins thin-layer chromatography described. Mycobacterium terrae, M. marinum smegmatis produce that differ among themselves T. nomenclature for the their derivatives suggested.
Social network analysis is the study of how links between a set actors are formed. Typically, it believed that formed in structured manner, which may be due to, for example, political or material incentives, and often not directly observable. The stochastic blockmodel represents this structure using latent groups exhibit different connective properties, so conditional on group membership two actors, probability link being them represented by connectivity matrix. mixed (MMSBM) extends model...
Six pigeons were trained on a variety of concurrent fixed‐interval schedules. Matching between response or time ratios and obtained numbers reinforcements was found for eight 12 schedules studied. Cumulative records showed both typical burst‐and‐break patterns also atypical in which rate constant schedule. occurred only when the same pattern present When different generated by two schedules, consistently emitted fewer responses to shorter than required matching.
The interactions of early stage business students with learning resources over the duration an introductory statistics module were analysed using latent class analysis. Four distinct behavioural groups identified. While differing levels face-to-face attendance and online interaction existed, all four failed to engage material in a timely manner. found demonstrate significantly different attainment outcomes. patterns behaviour give insights as which analytics education use how their relate level
Abstract Data surrounding sex-specific differences in ANCA-associated vasculitis glomerulonephritis (ANCA-GN) outcomes is sparse. We hypothesised that the previously observed increased risk of end-stage kidney disease (ESKD) males driven by variation immunosuppression dosing. Patients were recruited to Irish Rare Kidney Disease Registry or followed Royal Free Hospital team (2012–2020). Inclusion criteria: prior diagnosis ANCA-GN (biopsy proven pauci-immune glomerulonephritis) and positive...
Increasingly, single‐armed evidence is included in health technology assessment submissions when companies are seeking reimbursement for new drugs. While it recognized that randomized controlled trials provide a higher standard of evidence, these not available many agents have been granted licenses recent years. Therefore, important to examine whether alternative strategies assessing this may be used. In work, we approaches incorporating formally the evaluation process. We consider matching...
The statistical examination of solar flares is crucial to revealing their global characteristics and behaviour. Such examinations can tackle large-scale science questions or give context detailed single-event studies. However, they are often performed using standard but basic flare detection algorithms relying on arbitrary thresholds. This arbitrariness may lead important scientific conclusions being drawn from results caused by subjective choices in rather than the true nature Sun. In this...
Discussion boards are a form of social media which allow users to discuss topics and exchange information in complex manner, number different settings. As the popularity such message has increased, communities have emerged, several prominent types role been identified, as Question Answerer, Celebrity, Person Topic Initiator. Recent studies noted structural similarity egocentric network assigned same by qualitative criteria. In this paper methodology is developed with cluster together similar...
Background In decision modeling with time-to-event data, there are a variety of parametric models that can be used to extrapolate the survival function. Each model implies different hazard function, and in situations which is moderate censoring, this result quite projections. External information such as expert opinion on long-term more accurately characterize uncertainty these extrapolations. Objective We present general easily implementable approach incorporate various types opinions into...
Background: Neonatal encephalopathy (NE) is associated with adverse neurodevelopmental outcome and linked systemic inflammation. Pro-inflammatory anti-inflammatory cytokines are known to play a role in the pathology of NE by activating innate immune cells. Methods: Eighty-seven infants were enrolled including 53 whom 52 received therapeutic hypothermia (TH) 34 term infant healthy controls (TC). Whole blood sampling was performed first 4 days life, 14-spot ELISA Multiplex Cytokine Array...
Antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is a rare multisystem autoimmune disease. There need for interoperable national registries to enable reporting of real-world long-term outcomes and their predictors in AAV.