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
Evaluating methods for risk prediction of Covid-19 mortality in nursing home residents before and after vaccine availability: a retrospective cohort study
SARS-CoV-2 vaccines are effective in reducing hospitalization, COVID-19 symptoms, and COVID-19 mortality for nursing home (NH) residents. We sought to compare the accuracy of various machine learning models, e... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - March 27, 2024 Category: Research Authors: Komal Aryal, Fabrice I. Mowbray, Anna Miroshnychenko, Ryan P. Strum, Darly Dash, Michael P. Hillmer, Kamil Malikov, Andrew P. Costa and Aaron Jones Tags: Research Source Type: research
Methodological insights into ChatGPT ’s screening performance in systematic reviews
The screening process for systematic reviews and meta-analyses in medical research is a labor-intensive and time-consuming task. While machine learning and deep learning have been applied to facilitate this pr... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - March 27, 2024 Category: Research Authors: Mahbod Issaiy, Hossein Ghanaati, Shahriar Kolahi, Madjid Shakiba, Amir Hossein Jalali, Diana Zarei, Sina Kazemian, Mahsa Alborzi Avanaki and Kavous Firouznia Tags: Research Source Type: research
Socio-environmental predictors of diabetes incidence disparities in Tanzania mainland: a comparison of regression models for count data
This study aims to use an efficient count data model to estimate socio-environmental fact... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - March 26, 2024 Category: Research Authors: Sauda Hatibu Mbwambo, Maurice C. Mbago and Gadde Srinivasa Rao Tags: Research Source Type: research
