A scoping review of statistical methods in studies of biomarker-related treatment heterogeneity for breast cancer
Many scientific papers are published each year and substantial resources are spent to develop biomarker-based tests for precision oncology. However, only a handful of tests is currently used in daily clinical ... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - June 29, 2023 Category: Research Authors: L Sollfrank, SC Linn, M Hauptmann and K J óźwiak Tags: Research Source Type: research

Interpretation of active-control randomised trials: the case for a new analytical perspective involving averted events
Active-control trials, where an experimental treatment is compared with an established treatment, are performed when the inclusion of a placebo control group is deemed to be unethical. For time-to-event outcom... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - June 26, 2023 Category: Research Authors: David T. Dunn, Oliver T. Stirrup, Sheena McCormack and David V. Glidden Tags: Review Source Type: research

Calibrated meta-analysis to estimate the efficacy of mental health treatments in target populations: an application to paliperidone trials for treatment of schizophrenia
Meta-analyses can be a powerful tool but need to calibrate potential unrepresentativeness of the included trials to a target population. Estimating target population average treatment effects (TATE) in meta-an... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - June 26, 2023 Category: Research Authors: Hwanhee Hong, Lu Liu, Ramin Mojtabai and Elizabeth A. Stuart Tags: Research Source Type: research

Data quality in an HIV vaccine efficacy clinical trial in South Africa: through natural disasters and with discipline
To produce quality data that informs valid clinical trial results and withstands regulatory inspection, trial sites should adhere to many complex and dynamic requirements. Understanding non-conformance to requ... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - June 24, 2023 Category: Research Authors: Fatima Laher, Mookho Malahleha, Shelly Ramirez, William Brumskine, Kennedy Otwombe, Zoe Moodie and Mary Allen Tags: Research Source Type: research

Analysis of the characteristics and the degree of pragmatism exhibited by pragmatic-labelled trials of antineoplastic treatments
Pragmatic clinical trials (PCTs) are designed to reflect how an investigational treatment would be applied in clinical practice. As such, unlike their explanatory counterparts, they measure therapeutic effecti... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - June 24, 2023 Category: Research Authors: Robbe Saesen, Kevin Depreytere, Karyna Krupianskaya, Jo ël Langeweg, Julie Verheecke, Denis Lacombe and Isabelle Huys Tags: Research Source Type: research

On the Q statistic with constant weights in meta-analysis of binary outcomes
Cochran ’s Q statistic is routinely used for testing heterogeneity in meta-analysis. Its expected value (under an incorrect null distribution) is part of several popular estimators of the between-study variance, (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - June 21, 2023 Category: Research Authors: Elena Kulinskaya and David C. Hoaglin Tags: Research Source Type: research

Development and validation of a screening tool for SPondyloArthritis Screening in Sub-Saharan Africa: SpASSS questionnaire
To develop and validate a screening tool to identify patients with a high likelihood for Spondyloarthritis (SpA) in the Democratic Republic of the Congo (DR Congo). (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - June 21, 2023 Category: Research Authors: P Lebughe Litite, R. Westhovens, A. Nkodila, J. J. Malemba and K. de Vlam Tags: Research Source Type: research

Use and misuse of random forest variable importance metrics in medicine: demonstrations through incident stroke prediction
Machine learning tools such as random forests provide important opportunities for modeling large, complex modern data generated in medicine. Unfortunately, when it comes to understanding why machine learning mode... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - June 19, 2023 Category: Research Authors: Meredith L. Wallace, Lucas Mentch, Bradley J. Wheeler, Amanda L. Tapia, Marc Richards, Siyu Zhou, Lixia Yi, Susan Redline and Daniel J. Buysse Tags: Research Source Type: research

Frequency-based rare diagnoses as a novel and accessible approach for studying rare diseases in large datasets: a cross-sectional study
Up to 8% of the general population have a rare disease, however, for lack of ICD-10 codes for many rare diseases, this population cannot be generically identified in large medical datasets. We aimed to explore fr... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - June 17, 2023 Category: Research Authors: Thomas S. Tr öster, Viktor von Wyl, Patrick E. Beeler and Holger Dressel Tags: Research Source Type: research

Laboratory-based versus non-laboratory-based World Health Organization risk equations for assessment of cardiovascular disease risk
The WHO model has laboratory-based and non-laboratory-based versions for 10-year risk prediction of cardiovascular diseases. Due to the fact that in some settings, there may not be the necessary facilities for... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - June 15, 2023 Category: Research Authors: Azizallah Dehghan, Ali Rayatinejad, Rozhan Khezri, Dagfinn Aune and Fatemeh Rezaei Tags: Research Source Type: research

Conducting school-based health surveys with secondary schools in England: advice and recommendations from school staff, local authority professionals, and wider key stakeholders, a qualitative study
Improving the health and well-being of young people is a public health priority. Schools present an ideal setting to implement strategies to improve young people ’s health and well-being. A key strategy involve... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - June 15, 2023 Category: Research Authors: Lorna M. Hatch, Emily C. Widnall, Patricia N. Albers, Georgina L. Hopkins, Judi Kidger, Frank de Vocht, Eileen Kaner, Esther M. F. van Sluijs, Hannah Fairbrother, Russell Jago and Rona M. Campbell Tags: Research Source Type: research

Use of days alive without life support and similar count outcomes in randomised clinical trials – an overview and comparison of methodological choices and analysis methods
Days alive without life support (DAWOLS) and similar outcomes that seek to summarise mortality and non-mortality experiences are increasingly used in critical care research. The use of these outcomes is challe... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - June 14, 2023 Category: Research Authors: Anders Granholm, Benjamin Skov Kaas-Hansen, Theis Lange, Marie Warrer Munch, Michael O. Harhay, Fernando G. Zampieri, Anders Perner, Morten Hylander M øller and Aksel Karl Georg Jensen Tags: Research Source Type: research

Model selection for component network meta-analysis in connected and disconnected networks: a simulation study
Network meta-analysis (NMA) allows estimating and ranking the effects of several interventions for a clinical condition. Component network meta-analysis (CNMA) is an extension of NMA which considers the indivi... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - June 14, 2023 Category: Research Authors: Maria Petropoulou, Gerta R ücker, Stephanie Weibel, Peter Kranke and Guido Schwarzer Tags: Research Source Type: research

Measuring bereavement prevalence in a complex sampling survey: the 2019 Georgia Behavioral Risk Factor Surveillance System (BRFSS)
The Behavioral Risk Factor Surveillance System (BRFSS) is an annual survey designed to identify trends in the public ’s health. In its 2019 field survey, the U.S. state of GA tested a new 3 – item module to mea... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - June 13, 2023 Category: Research Authors: Changle Li, Toni P. Miles, Ye Shen, Rana Bayakly, Moses Ido and M. Mahmud Khan Tags: Research Source Type: research

Correction of vaccine effectiveness derived from test-negative case –control studies
Determining the vaccine effectiveness (VE) is an important part of studying every new vaccine. Test-negative case –control (TNCC) studies have recently been used to determine the VE. However, the estimated VE deri... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - June 10, 2023 Category: Research Authors: Farrokh Habibzadeh Tags: Research Source Type: research