Interpretable machine learning in predicting drug-induced liver injury among tuberculosis patients: model development and validation study
The objective of this research was to create and validate an interpretable prediction model for drug-induced liver injury (DILI) during tuberculosis (TB) treatment. (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - April 20, 2024 Category: Research Authors: Yue Xiao, Yanfei Chen, Ruijian Huang, Feng Jiang, Jifang Zhou and Tianchi Yang Tags: Research Source Type: research

Application of causal inference methods in individual-participant data meta-analyses in medicine: addressing data handling and reporting gaps with new proposed reporting guidelines
Observational data provide invaluable real-world information in medicine, but certain methodological considerations are required to derive causal estimates. In this systematic review, we evaluated the methodol... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - April 19, 2024 Category: Research Authors: Heather Hufstedler, Nicole Mauer, Edmund Yeboah, Sinclair Carr, Sabahat Rahman, Alexander M. Danzer, Thomas P. A. Debray, Valentijn M.T. de Jong, Harlan Campbell, Paul Gustafson, Lauren Maxwell, Thomas Jaenisch, Ellicott C. Matthay and Till B ärnighausen Tags: Research Source Type: research

Log odds of positive lymph nodes (LODDS)-based novel nomogram for survival estimation in patients with invasive micropapillary carcinoma of the breast
This study... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - April 18, 2024 Category: Research Authors: Xiangdi Meng, Furong Hao, Nan Wang, Peiyan Qin, Zhuojun Ju and Daqing Sun Tags: Research Source Type: research

Outlier detection in spatial error models using modified thresholding-based iterative procedure for outlier detection approach
Outliers, data points that significantly deviate from the norm, can have a substantial impact on statistical inference and provide valuable insights in data analysis. Multiple methods have been developed for o... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - April 15, 2024 Category: Research Authors: Jiaxin Cai, Weiwei Hu, Yuhui Yang, Hong Yan and Fangyao Chen Tags: Research Source Type: research

Bayesian modeling of spatially differentiated multivariate enamel defects of the children ’s primary maxillary central incisor teeth
The analysis of dental caries has been a major focus of recent work on modeling dental defect data. While a dental caries focus is of major importance in dental research, the examination of developmental defec... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - April 15, 2024 Category: Research Authors: Everette P. Keller, Andrew B. Lawson, Carol L. Wagner and Susan G. Reed Tags: Research Source Type: research

The potential impact fraction of population weight reduction scenarios on non-communicable diseases in Belgium: application of the g-computation approach
Overweight is a major risk factor for non-communicable diseases (NCDs) in Europe, affecting almost 60% of all adults. Tackling obesity is therefore a key long-term health challenge and is vital to reduce prema... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - April 14, 2024 Category: Research Authors: Ingrid Pelgrims, Brecht Devleesschauwer, Stefanie Vandevijvere, Eva M. De Clercq, Johan Van der Heyden and Stijn Vansteelandt Tags: Research Source Type: research

Segmentation of patients with small cell lung cancer into responders and non-responders using the optimal cross-validation technique
The timing of treating cancer patients is an essential factor in the efficacy of treatment. So, patients who will not respond to current therapy should receive a different treatment as early as possible. Machi... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - April 8, 2024 Category: Research Authors: Elham Majd, Li Xing and Xuekui Zhang Tags: Research Source Type: research

Methods of determining optimal cut-point of diagnostic biomarkers with application of clinical data in ROC analysis: an update review
An important application of ROC analysis is the determination of the optimal cut-point for biomarkers in diagnostic studies. This comprehensive review provides a framework of cut-point election for biomarkers ... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - April 8, 2024 Category: Research Authors: Mojtaba Hassanzad and Karimollah Hajian-Tilaki Tags: Research Source Type: research

Describing the content of trial recruitment interventions using the TIDieR reporting checklist: a systematic methodology review
Recruiting participants to clinical trials is an ongoing challenge, and relatively little is known about what recruitment strategies lead to better recruitment. Recruitment interventions can be considered comp... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - April 8, 2024 Category: Research Authors: Natasha Hudek, Kelly Carroll, Seana Semchishen, Shelley Vanderhout, Justin Presseau, Jeremy Grimshaw, Dean A. Fergusson, Katie Gillies, Ian D. Graham, Monica Taljaard and Jamie C. Brehaut Tags: Research Source Type: research

Spatial-temporal Bayesian accelerated failure time models for survival endpoints with applications to prostate cancer registry data
Prostate cancer is the most common cancer after non-melanoma skin cancer and the second leading cause of cancer deaths in US men. Its incidence and mortality rates vary substantially across geographical region... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - April 8, 2024 Category: Research Authors: Ming Wang, Zheng Li, Jun Lu, Lijun Zhang, Yimei Li and Liangliang Zhang Tags: Research Source Type: research

Bioequivalence trials for the approval of generic drugs in Saudi Arabia: a descriptive analysis of design aspects
This retrospective analysis aimed to comprehensively review the design and regulatory aspects of bioequivalence trials submitted to the Saudi Food and Drug Authority (SFDA) since 2017. (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - April 5, 2024 Category: Research Authors: Turki A. Althunian, Bader R. Alzenaidy, Raseel A. Alroba, Ohoud A. Almadani, Fahad A. Alqahtani, Albatool A. Binajlan, Amal I. Almousa, Deema K. Alamr, Malak S. Al-Mofada, Nora Y. Alsaqer, Hessa A. Alarfaj, Abdulmohsen A. Bahlewa, Mohammed A. Alharbi, Ali Tags: Research Source Type: research

Overcoming denominator problems in refugee settings with fragmented electronic records for health and immigration data: a prediction-based approach
Epidemiological studies in refugee settings are often challenged by the denominator problem, i.e. lack of population at risk data. We develop an empirical approach to address this problem by assessing relation... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - April 1, 2024 Category: Research Authors: Stella Erdmann, Rosa Jahn, Sven Rohleder and Kayvan Bozorgmehr Tags: Research Source Type: research

Assessment of the E-value in the presence of bias amplification: a simulation study
The E-value, a measure that has received recent attention in the comparative effectiveness literature, reports the minimum strength of association between an unmeasured confounder and the treatment and outcome... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - March 28, 2024 Category: Research Authors: Eric Barrette, Lucas Higuera and Kael Wherry Tags: Research Source Type: research

Optimal futility stopping boundaries for binary endpoints
Group sequential designs incorporating the option to stop for futility at the time point of an interim analysis can save time and resources. Thereby, the choice of the futility boundary importantly impacts the... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - March 28, 2024 Category: Research Authors: Michaela  Maria Freitag, Xieran Li and Geraldine Rauch Tags: Research Source Type: research

A database for oncological research and quality assurance: implementation and first experiences with the University Clinical Cancer Registry Regensburg
Legal requirements, certification specifications, as well as the demand for real world data on cancer research and treatment led to the decision to establish the University Clinical Cancer Registry Regensburg.... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - March 27, 2024 Category: Research Authors: Anna Saibold, Michael Koller, Karolina Mueller, Oliver Koelbl, Veronika Vielsmeier, Tobias Pukrop, Oliver Spies, Vivian Eilers, Cathleen Brese, Denise Amann and Julia Maurer Tags: Research Source Type: research