Semi-automated assessment of the risk of bias due to missing evidence in network meta-analysis: a guidance paper for the ROB-MEN web-application
Network meta-analysis compares multiple interventions and estimates the relative treatment effects between all interventions, combining both direct and indirect evidence. Recently, a framework was developed to... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - October 7, 2023 Category: Research Authors: Virginia Chiocchia, Alexander Holloway and Georgia Salanti Tags: Software Source Type: research
A hybrid of regularization method and generalized path analysis: modeling single-vehicle run-off-road crashes in a cross-sectional study
Determining risk factors of single-vehicle run-off-road (SV-ROR) crashes, as a significant number of all the single-vehicle crashes and all the fatalities, may provide infrastructure for quicker and more effec... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - October 6, 2023 Category: Research Authors: Fatemeh Jahanjoo, Mohammad Asghari-Jafarabadi and Homayoun Sadeghi-Bazargani Tags: Research Source Type: research
Asynchronous online focus groups for research with people living with amyotrophic lateral sclerosis and family caregivers: usefulness, acceptability and lessons learned
People with amyotrophic lateral sclerosis (ALS) face disability- and travel-related barriers to research participation. We investigate the usefulness and acceptability of asynchronous, online focus groups (AOF... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - October 6, 2023 Category: Research Authors: Shelagh K. Genuis, Westerly Luth, Garnette Weber, Tania Bubela and Wendy S. Johnston Tags: Research Source Type: research
Bayesian multilevel multivariate logistic regression for superiority decision-making under observable treatment heterogeneity
In medical, social, and behavioral research we often encounter datasets with a multilevel structure and multiple correlated dependent variables. These data are frequently collected from a study population that... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - October 5, 2023 Category: Research Authors: Xynthia Kavelaars, Joris Mulder and Maurits Kaptein Tags: Research Source Type: research
Negative log-binomial model with optimal robust variance to estimate the prevalence ratio, in cross-sectional population studies
Cross-sectional studies are useful for the estimation of prevalence of a particular event with concerns in specific populations, as in the case of diseases or other public health interests. Most of these studi... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - October 4, 2023 Category: Research Authors: Milc íades Ibáñez-Pinilla, Sara Villalba-Niño and Nury N. Olaya-Galán Tags: Research Source Type: research
Sequential regression and simulation: a method for estimating causal effects from heterogeneous clinical trials without a common control group
The advent of clinical trial data sharing platforms has created opportunities for making new discoveries and answering important questions using already collected data. However, existing methods for meta-analy... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - October 3, 2023 Category: Research Authors: Vivek A. Rudrapatna, Vignesh G. Ravindranath, Douglas V. Arneson, Arman Mosenia, Atul J. Butte and Shan Wang Tags: Research Source Type: research
Comparison of different statistical models for the analysis of fracture events: findings from the Prevention of Falls Injury Trial (PreFIT)
Fractures are rare events and can occur because of a fall. Fracture counts are distinct from other count data in that these data are positively skewed, inflated by excess zero counts, and events can recur over... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - October 2, 2023 Category: Research Authors: Anower Hossain, Ranjit Lall, Chen Ji, Julie Bruce, Martin Underwood and Sarah E. Lamb Tags: Research Source Type: research
Implementation of web-based respondent driven sampling in epidemiological studies
Respondent-driven sampling (RDS) is a peer chain-recruitment method for populations without a sampling frame or that are hard-to-reach. Although RDS is usually done face-to-face, the online version (WebRDS) ha... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - October 2, 2023 Category: Research Authors: Pedro Ferrer-Rosende, Mar ía Feijoo-Cid, María Isabel Fernández-Cano, Sergio Salas-Nicás, Valeria Stuardo-Ávila and Albert Navarro-Giné Tags: Research Source Type: research
Simulation analysis of an adjusted gravity model for hospital admissions robust to incomplete data
Gravity models are often hard to apply in practice due to their data-hungry nature. Standard implementations of gravity models require that data on each variable is available for each supply node. Since these ... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - September 29, 2023 Category: Research Authors: Timo Latruwe, Marlies Van der Wee, Pieter Vanleenhove, Kwinten Michielsen, Sofie Verbrugge and Didier Colle Tags: Research Source Type: research
Ensuring cross-cultural data comparability by means of anchoring vignettes in heterogeneous refugee samples
Configural, metric, and scalar measurement invariance have been indicators of bias-free statistical cross-group comparisons, although they are difficult to verify in the data. Low comparability of translated q... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - September 28, 2023 Category: Research Authors: Natalja Menold, Louise Biddle, Hagen von Hermanni, Jasmin Kadel and Kayvan Bozorgmehr Tags: Research Source Type: research
Introducing the participant-generated experience and satisfaction (PaGES) index: a novel, longitudinal mixed-methods evaluation tool
Patient-Reported Outcomes or Experience Measures (PROMS / PREMS) are routinely used in clinical studies to assess participants ’ views and experiences of trial interventions and related quality of life. Purely ... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - September 28, 2023 Category: Research Authors: Andrew Symon, Kate Lightly, Rachel Howard, Shuchita Mundle, Brian Faragher, Molly Hanley, Jill Durocher, Beverly Winikoff and Andrew Weeks Tags: Research Source Type: research
Analytical methods for identifying sequences of utilization in health data: a scoping review
Healthcare, as with other sectors, has undergone progressive digitalization, generating an ever-increasing wealth of data that enables research and the analysis of patient movement. This can help to evaluate t... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - September 27, 2023 Category: Research Authors: Amelie Flothow, Anna Novelli and Leonie Sundmacher Tags: Research article Source Type: research
Assessing the self-reported honesty threshold in adolescent epidemiological research: comparing supervised machine learning and inferential statistical techniques
Epidemiological surveys offer essential data on adolescent substance use. Nevertheless, the precision of these self-report-based surveys often faces mistrust from researchers and the public. We evaluate the ef... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - September 21, 2023 Category: Research Authors: Janaka V. Kosgolla, Douglas C. Smith, Shahana Begum and Crystal A. Reinhart Tags: Research Source Type: research
Widening participation – recruitment methods in mental health randomised controlled trials: a qualitative study
Barriers to mental health research participation are well documented including distrust of services and research; and stigma surrounding mental health. They can contribute to a lack of diversity amongst partic... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - September 21, 2023 Category: Research Authors: Mais Iflaifel, Charlotte L Hall, Heidi R Green, Andrew Willis, Stefan Rennick-Egglestone, Edmund Juszczak, Mark Townsend, Jennifer Martin and Kirsty Sprange Tags: Research Source Type: research
Exploring the variable importance in random forests under correlations: a general concept applied to donor organ quality in post-transplant survival
Random Forests are a powerful and frequently applied Machine Learning tool. The permutation variable importance (VIMP) has been proposed to improve the explainability of such a pure prediction model. It descri... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - September 19, 2023 Category: Research Authors: Christoph Wies, Robert Miltenberger, Gunter Grieser and Antje Jahn-Eimermacher Tags: Research Source Type: research
