Text analysis framework for identifying mutations among non-small cell lung cancer patients from laboratory data
Laboratory data can provide great value to support research aimed at reducing the incidence, prolonging survival and enhancing outcomes of cancer. Data is characterized by the information it carries and the fo... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - March 11, 2024 Category: Research Authors: Amman Yusuf, Devon J. Boyne, Dylan E. O ’Sullivan, Darren R. Brenner, Winson Y. Cheung, Imran Mirza and Tamer N. Jarada Tags: Research Source Type: research
Distributive randomization: a pragmatic fractional factorial design to screen or evaluate multiple simultaneous interventions in a clinical trial
This study eva... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - March 11, 2024 Category: Research Authors: Skerdi Haviari and France Mentr é Tags: Research Source Type: research
The methodological quality of systematic reviews regarding the Core Outcome Set (COS) development
The Core Outcome Measures in Effectiveness Trials (COMET) working group proposed core outcome sets (COS) to address the heterogeneity in outcome measures in clinical studies. According to the recommendations o... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - March 11, 2024 Category: Research Authors: Hong Cao, Yan Chen, Zhihao Yang, Junjie Lan, Joey Sum-wing Kwong, Rui Zhang, Huaye Zhao, Linfang Hu, Jiaxue Wang, Shuimei Sun, Songsong Tan, Jinyong Cao, Rui He, Wenyi Zheng and Jiaxing Zhang Tags: Research Source Type: research
An assessment of the informative value of data sharing statements in clinical trial registries
The provision of data sharing statements (DSS) for clinical trials has been made mandatory by different stakeholders. DSS are a device to clarify whether there is intention to share individual participant data... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - March 9, 2024 Category: Research Authors: Christian Ohmann, Maria Panagiotopoulou, Steve Canham, Gerd Felder and Pablo Emilio Verde Tags: Research Source Type: research
Design and statistical analysis reporting among interrupted time series studies in drug utilization research: a cross-sectional survey
Interrupted time series (ITS) design is a commonly used method for evaluating large-scale interventions in clinical practice or public health. However, improperly using this method can lead to biased results. (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - March 9, 2024 Category: Research Authors: Yuanjin Zhang, Yan Ren, Yunxiang Huang, Minghong Yao, Yulong Jia, Yuning Wang, Fan Mei, Kang Zou, Jing Tan and Xin Sun Tags: Research Source Type: research
Using the Super Learner algorithm to predict risk of major adverse cardiovascular events after percutaneous coronary intervention in patients with myocardial infarction
The primary treatment for patients with myocardial infarction (MI) is percutaneous coronary intervention (PCI). Despite this, the incidence of major adverse cardiovascular events (MACEs) remains a significant ... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - March 8, 2024 Category: Research Authors: Xiang Zhu, Pin Zhang, Han Jiang, Jie Kuang and Lei Wu Tags: Research Source Type: research
The minimal important difference of patient-reported outcome measures related to female urinary incontinence: a systematic review
The minimal important difference is a valuable metric in ascertaining the clinical relevance of a treatment, offering valuable guidance in patient management. There is a lack of available evidence concerning t... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - March 8, 2024 Category: Research Authors: Jordana Barbosa-Silva, Let ícia Bojikian Calixtre, Daniela Von Piekartz, Patricia Driusso and Susan Armijo-Olivo Tags: Research Source Type: research
Clarifying the biological and statistical assumptions of cross-sectional biological age predictors: an elaborate illustration using synthetic and real data
There is divergence in the rate at which people age. The concept of biological age is postulated to capture this variability, and hence to better represent an individual ’s true global physiological state than ... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - March 8, 2024 Category: Research Authors: Marije H. Sluiskes, Jelle J. Goeman, Marian Beekman, P. Eline Slagboom, Hein Putter and Mar Rodr íguez-Girondo Tags: Research Source Type: research
Power calculation for detecting interaction effect in cross-sectional stepped-wedge cluster randomized trials: an important tool for disparity research
The stepped-wedge cluster randomized trial (SW-CRT) design has become popular in healthcare research. It is an appealing alternative to traditional cluster randomized trials (CRTs) since the burden of logistic... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - March 2, 2024 Category: Research Authors: Chen Yang, Asem Berkalieva, Madhu Mazumdar and Deukwoo Kwon Tags: Research Source Type: research
A Bayesian Bernoulli-Exponential joint model for binary longitudinal outcomes and informative time with applications to bladder cancer recurrence data
A variety of methods exist for the analysis of longitudinal data, many of which are characterized with the assumption of fixed visit time points for study individuals. This, however is not always a tenable ass... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - March 1, 2024 Category: Research Authors: Michael Safo Oduro Tags: Research Source Type: research
REDCapDM: An R package with a set of data management tools for a REDCap project
Research Electronic Data CAPture (REDCap) is a web application for creating and managing online surveys and databases. Clinical data management is an essential process before performing any statistical analysi... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - March 1, 2024 Category: Research Authors: Jo ão Carmezim, Pau Satorra, Judith Peñafiel, Esther García-Lerma, Natàlia Pallarès, Naiara Santos and Cristian Tebé Tags: Software Source Type: research
Flexible Bayesian semiparametric mixed-effects model for skewed longitudinal data
In clinical trials and epidemiological research, mixed-effects models are commonly used to examine population-level and subject-specific trajectories of biomarkers over time. Despite their increasing popularit... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - March 1, 2024 Category: Research Authors: Melkamu M. Ferede, Getachew A. Dagne, Samuel M. Mwalili, Workagegnehu H. Bilchut, Habtamu A. Engida and Simon M. Karanja Tags: Research Source Type: research
Revising model for end-stage liver disease from calendar-time cross-sections with correction for selection bias
Eurotransplant liver transplant candidates are prioritized by Model for End-stage Liver Disease (MELD), a 90-day waitlist survival risk score based on the INR, creatinine and bilirubin. Several studies revised... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - February 28, 2024 Category: Research Authors: H. C. de Ferrante, M. van Rosmalen, B. M. L. Smeulders, S. Vogelaar and F. C. R. Spieksma Tags: Research Source Type: research
Selecting a randomization method for a multi-center clinical trial with stochastic recruitment considerations
The design of a multi-center randomized controlled trial (RCT) involves multiple considerations, such as the choice of the sample size, the number of centers and their geographic location, the strategy for rec... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - February 28, 2024 Category: Research Authors: Oleksandr Sverdlov, Yevgen Ryeznik, Volodymyr Anisimov, Olga M. Kuznetsova, Ruth Knight, Kerstine Carter, Sonja Drescher and Wenle Zhao Tags: Research Source Type: research
Human biomonitoring without in-person interaction: public health engagements during the COVID-19 pandemic and future implications
Public health initiatives, including human biomonitoring, have been impacted by unique challenges since the onset of the COVID-19 pandemic, compounding a decades-long trend of declining public participation. T... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - February 28, 2024 Category: Research Authors: Alyssa J. Mattson, Jiali Yu, Elizabeth M. Miller, Michael Schueller, Michael Pentella and Susie Y. Dai Tags: Research Source Type: research
