nlive: an R package to facilitate the application of the sigmoidal and random changepoint mixed models
The use of mixed effect models with a specific functional form such as the Sigmoidal Mixed Model and the Piecewise Mixed Model (or Changepoint Mixed Model) with abrupt or smooth random change allows the interp... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - November 3, 2023 Category: Research Authors: Ana W. Capuano and Maude Wagner Tags: Software Source Type: research
How to perform prespecified subgroup analyses when using propensity score methods in the case of imbalanced subgroups
Looking for treatment-by-subset interaction on a right-censored outcome based on observational data using propensity-score (PS) modeling is of interest. However, there are still issues regarding its implementa... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - October 31, 2023 Category: Research Authors: Florian Chatelet, Benjamin Verillaud and Sylvie Chevret Tags: Research Source Type: research
Can peer effects explain prescribing appropriateness? a social network analysis
Optimizing prescribing practices is important due to the substantial clinical and financial costs of polypharmacy and an increasingly aging population. Prior research shows the importance of social relationshi... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - October 28, 2023 Category: Research Authors: Sophie Y. Wang, Nicolas Larrain and Oliver Groene Tags: Research article Source Type: research
Constructing within and between hospital physician social networks for modeling physician research participation
Physician participation in clinical trials is essential for the progress of modern medicine. However, the demand for physician research partners is outpacing physicians ’ interest in participating in scientific... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - October 28, 2023 Category: Research Authors: Carly A. Bobak, Deepika Mohan, Megan A. Murphy, Amber E. Barnato and A. James O ’Malley Tags: Research Source Type: research
Functional principal component analysis and sparse-group LASSO to identify associations between biomarker trajectories and mortality among hospitalized SARS-CoV-2 infected individuals
A substantial body of clinical research involving individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has evaluated the association between in-hospital biomarkers and severe ... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - October 28, 2023 Category: Research Authors: Tingyi Cao, Harrison T. Reeder and Andrea S. Foulkes Tags: Research Source Type: research
Bayesian parametric models for survival prediction in medical applications
Evidence-based treatment decisions in medicine are made founded on population-level evidence obtained during randomized clinical trials. In an era of personalized medicine, these decisions should be based on t... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - October 26, 2023 Category: Research Authors: Iwan Paolucci, Yuan-Mao Lin, Jessica Albuquerque Marques Silva, Kristy K. Brock and Bruno C. Odisio Tags: Research Source Type: research
Functional data analysis to characterize disease patterns in frequent longitudinal data: application to bacterial vaginal microbiota patterns using weekly Nugent scores and identification of pattern-specific risk factors
Technology advancement has allowed more frequent monitoring of biomarkers. The resulting data structure entails more frequent follow-ups compared to traditional longitudinal studies where the number of follow-... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - October 26, 2023 Category: Research Authors: Rahul Biswas, Marie Thoma and Xiangrong Kong Tags: Research Source Type: research
A Bayesian network perspective on neonatal pneumonia in pregnant women with diabetes mellitus
To predict the influencing factors of neonatal pneumonia in pregnant women with diabetes mellitus using a Bayesian network model. By examining the intricate network connections between the numerous variables g... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - October 25, 2023 Category: Research Authors: Yue Lin, Jia Shen Chen, Ni Zhong, Ao Zhang and Haiyan Pan Tags: Research Source Type: research
Federated causal inference based on real-world observational data sources: application to a SARS-CoV-2 vaccine effectiveness assessment
Causal inference helps researchers and policy-makers to evaluate public health interventions. When comparing interventions or public health programs by leveraging observational sensitive individual-level data ... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - October 23, 2023 Category: Research Authors: Marjan Meurisse, Francisco Estupi ñán-Romero, Javier González-Galindo, Natalia Martínez-Lizaga, Santiago Royo-Sierra, Simon Saldner, Lorenz Dolanski-Aghamanoukjan, Alexander Degelsegger-Marquez, Stian Soiland-Reyes, Nina Van Goethem and Enrique Bernal Tags: Research Source Type: research
Multiply robust estimator for the difference in survival functions using pseudo-observations
When estimating the causal effect on survival outcomes in observational studies, it is necessary to adjust confounding factors due to unbalanced covariates between treatment and control groups. There is no stu... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - October 23, 2023 Category: Research Authors: Ce Wang, Kecheng Wei, Chen Huang, Yongfu Yu and Guoyou Qin Tags: Research Source Type: research
Reasons for missing evidence in rehabilitation meta-analyses: a cross-sectional meta-research study
Systematic reviews of randomized controlled trials are the best evidence for informing on intervention effectiveness. Their results, however, can be biased due to omitted evidence in the quantitative analyses.... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - October 21, 2023 Category: Research Authors: Stefano Giuseppe Lazzarini, Marzia Stella Yousif, Silvia Bargeri, Greta Castellini and Silvia Gianola Tags: Research Source Type: research
Development and evaluation of an algorithm to link mothers and infants in two US commercial healthcare claims databases for pharmacoepidemiology research
Administrative healthcare claims databases are used in drug safety research but are limited for investigating the impacts of prenatal exposures on neonatal and pediatric outcomes without mother-infant pair ide... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - October 21, 2023 Category: Research Authors: James Weaver, Jill H. Hardin, Clair Blacketer, Alexis A. Krumme, Melanie H. Jacobson and Patrick B. Ryan Tags: Research Source Type: research
Adaptations for remote research work: a modified web-push strategy compared to a mail-only strategy for administering a survey of healthcare experiences
The COVID-19 pandemic required that our research team change our mail-only (MO) strategy for a research survey to a strategy more manageable by staff working remotely. We used a modified web-push approach (MWP... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - October 19, 2023 Category: Research Authors: Varsha G. Vimalananda, Jolie B. Wormwood, Kailyn E. Sitter, B. Graeme Fincke, Shirley Qian, Maya N. Tait and Mark Meterko Tags: Research Source Type: research
Comparative age-period-cohort analysis
Cancer surveillance researchers analyze incidence or mortality rates jointly indexed by age group and calendar period using age-period-cohort models. Many studies consider age- and period-specific rates in two... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - October 18, 2023 Category: Research Authors: Philip S. Rosenberg, Adalberto Miranda-Filho and David C. Whiteman Tags: Research Source Type: research
Comparing methods to predict baseline mortality for excess mortality calculations
The World Health Organization (WHO) ’s excess mortality estimates presented in May 2022 stirred controversy, due in part to the high estimate provided for Germany, which was later attributed to the spline model... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - October 18, 2023 Category: Research Authors: Tam ás Ferenci Tags: Research Source Type: research
