Prognosis Research, Research Institute for Primary Care and Health Sciences, Keele University, Keele, UK Richard D. Riley AuthorsGerta Rücker View author publications You can also search for this author ... can also search for this author in PubMed Google Scholar Georgia Salanti View author publications You can also search for this author in PubMed Google Scholar Richard D. Riley View author
Researchers and funders should consider the statistical power of planned Individual Participant Data (IPD) meta-analysis projects, as they are often time-consuming and costly. We propose simulation-based power calculations utilising a two-stage framework, and illustrate the approach for a planned IPD meta-analysis of randomised trials with continuous outcomes where the aim is to...
Richard D. Riley†4 †Contributed equally BMC Medical Research MethodologyBMC series – open, inclusive and trusted201717:109 https://doi.org/10.1186/s12874-017-0376-7 © The Author(s) 2017 Received
Risk prediction models estimate the risk of developing future outcomes for individuals based on one or more underlying characteristics (predictors). We review how researchers develop and validate risk prediction models within an individual participant data (IPD) meta-analysis, in order to assess the feasibility and conduct of the approach. A qualitative review of the aims...
Background Risk prediction models estimate the risk of developing future outcomes for individuals based on one or more underlying characteristics (predictors). We review how researchers develop and validate risk prediction models within an individual participant data (IPD) meta-analysis, in order to assess the feasibility and conduct of the approach. Methods A qualitative review...
An Individual Patient Data (IPD) meta-analysis is often considered the gold-standard for synthesising survival data from clinical trials. An IPD meta-analysis can be achieved by either a two-stage or a one-stage approach, depending on whether the trials are analysed separately or simultaneously. A range of one-stage hierarchical Cox models have been previously proposed, but these...
Background An Individual Patient Data (IPD) meta-analysis is often considered the gold-standard for synthesising survival data from clinical trials. An IPD meta-analysis can be achieved by either a two-stage or a one-stage approach, depending on whether the trials are analysed separately or simultaneously. A range of one-stage hierarchical Cox models have been previously proposed...
BackgroundPrognostic factors are associated with the risk of a subsequent outcome in people with a given disease or health condition. Meta-analysis using individual participant data (IPD), where the raw data are synthesised from multiple studies, has been championed as the gold-standard for synthesising prognostic factor studies. We assessed the feasibility and conduct of this...
When multiple endpoints are of interest in evidence synthesis, a multivariate meta-analysis can jointly synthesise those endpoints and utilise their correlation. A multivariate random-effects meta-analysis must incorporate and estimate the between-study correlation (ρ B ). In this paper we assess maximum likelihood estimation of a general normal model and a generalised model for...
Background When multiple endpoints are of interest in evidence synthesis, a multivariate meta-analysis can jointly synthesise those endpoints and utilise their correlation. A multivariate random-effects meta-analysis must incorporate and estimate the between-study correlation (ρB). Methods In this paper we assess maximum likelihood estimation of a general normal model and a...
, UK Kym I. E. Snell & Richard D. Riley Barts Research Centre for Women’s Health (BARC), Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK John Allotey ... Google Scholar Karel G. M. Moons View author publications You can also search for this author in PubMed Google Scholar Richard D. Riley View author publications You can also search for this
Unexpected clinical deterioration before 34 weeks gestation is an undesired course in early-onset pre-eclampsia. To safely prolong preterm gestation, accurate and timely prediction of complications is required. Women with confirmed early onset pre-eclampsia were recruited from 53 maternity units in the UK to a large prospective cohort study (PREP-946) for development of...
Diagnosis is the traditional basis for decision-making in clinical practice. Evidence is often lacking about future benefits and harms of these decisions for patients diagnosed with and without disease. We propose that a model of clinical practice focused on patient prognosis and predicting the likelihood of future outcomes may be more useful. Disease diagnosis can provide...
Altman Jonathan J Deeks Kate M Dunn 0 Alastair D Hay Harry Hemingway Linda LeResche George Peat 0 Pablo Perel Steffen E Petersen Richard D Riley 0 Ian Roberts Michael Sharpe Richard J Stevens Danielle A
Background Many people with clinically significant chronic obstructive pulmonary disease (COPD) remain undiagnosed worldwide. There are a number of small studies which have examined possible methods of case finding through primary care, but no large RCTs that have adequately assessed the most cost-effective approach. Methods/Design In this study, using a cluster randomised...
Population Sciences, University of Birmingham , Edgbaston, Birmingham, B152TT , UK RICHARD D. RILEY GEORGIA SALANTI∗ c The Author 2014. Published by Oxford University Press. This is an Open Access article ... Orestis Efthimiou, Dimitris Mavridis, and Georgia Salanti) and the MRC Methodology Research Programme (MR/J013595/1 to Richard D. Riley). REFERENCES BUJKIEWICZ , S. AND OTHERS ( 2013 ). Multivariate meta
Multivariate meta-analysis models can be used to synthesize multiple, correlated endpoints such as overall and disease-free survival. A hierarchical framework for multivariate random-effects meta-analysis includes both within-study and between-study correlation. The within-study correlations are assumed known, but they are usually unavailable, which limits the multivariate...
6 7 Lillian Sung 8 9 Roland A Amman 10 Richard D Riley 11 Elio Castagnola 12 Gabrielle M Haeusler 13 14 Robert Klaassen 15 Wim J E Tissing 0 Thomas Lehrnbecher 1 Julia Chisholm 2 Hana Hakim 3 Neil
