A parametric additive hazard model for time-to-event analysis
In recent years, the use of non- and semi-parametric models which estimate hazard ratios for analysing time-to-event outcomes is continuously criticized in terms of interpretation, technical implementation, an... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - February 24, 2024 Category: Research Authors: Dina Voeltz, Annika Hoyer, Amelie Forkel, Anke Schwandt and Oliver Ku ß Tags: Research Source Type: research
A scoping review on the methodological and reporting quality of scoping reviews in China
The objective of this stud... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - February 22, 2024 Category: Research Authors: Xinyu Xue, Xintong Tang, Shanshan Liu, Ting Yu, Zhonglan Chen, Ningsu Chen and Jiajie Yu Tags: Research Source Type: research
Barriers and facilitators for recruiting and retaining male participants into longitudinal health research: a systematic review
Successfully recruiting male participants to complete a healthcare related study is important for healthcare study completion and to advance our clinical knowledgebase. To date, most research studies have exam... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - February 22, 2024 Category: Research Authors: Danielle J. Borg, Melina Haritopoulou-Sinanidou, Pam Gabrovska, Hsu-Wen Tseng, David Honeyman, Daniel Schweitzer and Kym M. Rae Tags: Research Source Type: research
Treatment effect estimation using the propensity score in clinical trials with historical control
Clinical trials assessing new treatment effects require a control group to compare the pure treatment effects. However, in clinical trials on regenerative medicine, rare diseases, and intractable diseases, it ... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - February 22, 2024 Category: Research Authors: Saki Kanamori and Masahiro Takeuchi Tags: Research Source Type: research
Smoothed quantile residual life regression analysis with application to the Korea HIV/AIDS cohort study
The residual life of a patient with human immunodeficiency virus (HIV) is of major interest to patients and their physicians. While existing analyses of HIV patient survival focus mostly on data collected at b... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - February 17, 2024 Category: Research Authors: Soo Min Kim, Yunsu Choi, Sangwook Kang and Korea HIV/AIDS cohort study Tags: Research Source Type: research
Comparing Bayesian hierarchical meta-regression methods and evaluating the influence of priors for evaluations of surrogate endpoints on heterogeneous collections of clinical trials
Surrogate endpoints, such as those of interest in chronic kidney disease (CKD), are often evaluated using Bayesian meta-regression. Trials used for the analysis can evaluate a variety of interventions for diff... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - February 16, 2024 Category: Research Authors: Willem Collier, Benjamin Haaland, Lesley A. Inker, Hiddo J.L. Heerspink and Tom Greene Tags: Research Source Type: research
Extraction frequent patterns in trauma dataset based on automatic generation of minimum support and feature weighting
Data mining has been used to help discover Frequent patterns in health data. it is widely used to diagnose and prevent various diseases and to obtain the causes and factors affecting diseases. Therefore, the a... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - February 16, 2024 Category: Research Authors: Zahra Kohzadi, Ali Mohammad Nickfarjam, Leila Shokrizadeh Arani, Zeinab Kohzadi and Mehrdad Mahdian Tags: Research Source Type: research
Comparison of the effects of imputation methods for missing data in predictive modelling of cohort study datasets
Missing data is frequently an inevitable issue in cohort studies and it can adversely affect the study's findings. We assess the effectiveness of eight frequently utilized statistical and machine learning (ML)... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - February 16, 2024 Category: Research Authors: JiaHang Li, ShuXia Guo, RuLin Ma, Jia He, XiangHui Zhang, DongSheng Rui, YuSong Ding, Yu Li, LeYao Jian, Jing Cheng and Heng Guo Tags: Research Source Type: research
Group sequential designs for pragmatic clinical trials with early outcomes: methods and guidance for planning and implementation
Group sequential designs are one of the most widely used methodologies for adaptive design in randomized clinical trials. In settings where early outcomes are available, they offer large gains in efficiency co... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - February 16, 2024 Category: Research Authors: Nick R. Parsons, Joydeep Basu and Nigel Stallard Tags: Research Source Type: research
How do quantitative studies involving people with dementia report experiences of standardised data collection? A narrative synthesis of NIHR published studies
People with dementia are routinely included as research participants in trials and other quantitative studies in which they are invited to respond to standardised measures. This paper reviews the reporting of ... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - February 16, 2024 Category: Research Authors: Kate Gridley, Kate Baxter and Yvonne Birks Tags: Research Source Type: research
Calibration and XGBoost reweighting to reduce coverage and non-response biases in overlapping panel surveys: application to the Healthcare and Social Survey
Surveys have been used worldwide to provide information on the COVID-19 pandemic impact so as to prepare and deliver an effective Public Health response. Overlapping panel surveys allow longitudinal estimates ... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - February 15, 2024 Category: Research Authors: Luis Castro, Mar ía del Mar Rueda, Carmen Sánchez-Cantalejo, Ramón Ferri and Andrés Cabrera-León Tags: Research Source Type: research
Modeling heart rate of individual and team manual handling with one hand using generalized additive mixed models
Despite the fact that team manual handling is common in different working environments, the previous studies in this regard, particularly those with a physiological approach are quite limited. The present stud... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - February 15, 2024 Category: Research Authors: Mohammad Hamed Hosseini, Rashid Heidarimoghaddam, Mehrdad Anbarian, Saeed Ilbeigi and Leili Tapak Tags: Research Source Type: research
Identifying biologically implausible values in big longitudinal data: an example applied to child growth data from the Brazilian food and nutrition surveillance system
Several strategies for identifying biologically implausible values in longitudinal anthropometric data have recently been proposed, but the suitability of these strategies for large population datasets needs t... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - February 15, 2024 Category: Research Authors: Juliana Freitas de Mello e Silva, Natanael de Jesus Silva, Tha ís Rangel Bousquet Carrilho, Elizabete de Jesus Pinto, Aline Santos Rocha, Jéssica Pedroso, Sara Araújo Silva, Ana Maria Spaniol, Rafaella da Costa Santin de Andrade, Gisele Ane Bortolini, Tags: Research Source Type: research
Contextual effects: how to, and how not to, quantify them
The importance of contextual effects and their roles in clinical care controversial. A Cochrane review published in 2010 concluded that placebo interventions lack important clinical effects overall, but that p... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - February 13, 2024 Category: Research Authors: Tobias Saueressig, Hugo Pedder, Patrick J Owen and Daniel L Belavy Tags: Review Source Type: research
Comparison of statistical methods used to meta-analyse results from interrupted time series studies: an empirical study
The Interrupted Time Series (ITS) is a robust design for evaluating public health and policy interventions or exposures when randomisation may be infeasible. Several statistical methods are available for the a... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - February 10, 2024 Category: Research Authors: Elizabeth Korevaar, Simon L. Turner, Andrew B. Forbes, Amalia Karahalios, Monica Taljaard and Joanne E. McKenzie Tags: Research Source Type: research
