3,725 results
Showing 1–20 · 0.15 seconds · RSS
BMC Medical Research Methodology
Scopus
ISSN 1471-2288 · BMC · 3,725 articles in the index
-
Journal Article
Network meta-analysis with dose-response relationships
Abstract Background Network meta-analysis (NMA) is a widely used method for synthesizing evidence from multiple interventions for a medical condition. However, NMA applications typically ignore the crucial role of drug dosage on intervention effects. Traditional NMAs either consider each…
-
Journal Article
Cluster minimal sufficient balance (CMSB): an efficient covariate balancing randomization method for cluster randomized trials
Abstract Background Cluster randomized trials (CRTs) require balanced baseline covariates to yield unbiased estimates of treatment effects. Existing approaches such as constrained randomization can improve balance but may compromise allocation randomness. We introduce Cluster Minimal Sufficient…
-
Journal Article
Theory in qualitative research: a qualitative study of research experts’ views
Abstract Background There are long-standing debates about the relationship between theory and qualitative research and how the two are connected. While some researchers argue that theory in qualitative research is often superficial and poorly reported, others have highlighted inconsistencies in the…
-
Journal Article
Individual-centric N-of-1 trials: a case study assessing the effect of alcohol abstinence on mood levels
Abstract Background Popularized in the 1980s, N-of-1 trials have emerged as a useful study design to assess the effects of interventions in single individuals. This study design consists of observing outcomes over time for the same individual under periods of exposure to an intervention and a…
-
Journal Article
Sample size estimation for local hypothesis testing of functional data in medical studies: method comparison, recommendations, and a web application
Abstract Background Recent medical studies have shown an increasing interest in inferential methods for analysing functional data, while statistical power analysis for sample size planning for such data is less explored. As a result, researchers often rely on classical scalar approaches to estimate…
-
Journal Article
Multiple linear regression modeling with values below a lower limit of quantification – a statistical method comparison
Abstract Background Missing values occur in almost all real-world medical data. Sometimes, more information is available for the missing values due to technical measurement limits. This was also the case for some sports medical data set where several laboratory measurements below a lower limit of…
-
Journal Article
Discrete-time neural Markov models
Abstract Background Markov models can be used to describe the movement of individuals between states. In medicine, Markov models are used to describe, for example, disease progression and the effects of interventions on such progression. The models can further be used to identify medical risk…
-
Journal Article
Standardized survival probabilities and contrasts between hierarchical units in multilevel survival models
Abstract Background In the medical literature, in which time-to-event (such as time to death or disease recurrence) outcomes are commonly studied, hierarchical data is frequently encountered with patients nested within hospitals or regions. Multilevel hierarchical mixed-effects survival models are…
-
Journal Article
Privacy-preserving federated prediction of health outcomes using multi-center survey data
Abstract Background Patient-reported survey data are used to train prognostic models aimed at improving healthcare. However, such data are typically available multi-centric and, for privacy reasons, cannot easily be centralized in one data repository. Models trained locally are less accurate…
-
Journal Article
Multiple imputation for missing values in ordinal variables from cancer registry data when performing Cox proportional hazards regression
Abstract Background Scientists working with cancer registry data are often confronted with large proportions of missing values in ordinal variables, such as tumor stage, grading or the general health status (ECOG-PS scored 0 to 5). Despite the long-standing issue, research on handling missing…
-
Journal Article
Assessing nonresponse bias in a 30-year study of gulf war and gulf era veterans
Abstract Background Cohort studies of veterans are critical for understanding the long-term health effects of deployment and toxic exposures. However, longitudinal research is susceptible to attrition and potential nonresponse bias. The Gulf War Era Cohort Study (GWECS) is the largest and…
-
Journal Article
Joint modelling on clinical trials in clinical journals: a systematic review
Abstract Background Joint modelling (JM) provides an advanced statistical framework for the simultaneous analysis of longitudinal data and time-to-event outcomes. This review aims to assess clinical findings generated by JM in clinical trials and to identify common applications of JM within these…
-
Journal Article
Innovative statistical method for longitudinal and hierarchical data modeling: the GMEXGBoost method
Abstract Introduction and objectives Over recent decades, the exponential growth of data, especially in healthcare, has necessitated advanced analytical methods. Conventional machine learning algorithms often assume independence among data points, limiting their effectiveness with longitudinal and…
-
Journal Article
Use of a self-completed life history calendar in relation to data completeness and accuracy
Abstract Background A life history calendar allows mapping personal events to improve recall of past events in retrospective data collection. We estimated whether the use of a life history calendar was related to data completeness and accuracy. Methods Participants in a case-control study on…
-
Journal Article
Rapid, effective, and affordable randomisation for emergency neonatal research in a low-resource setting: a feasibility randomised controlled trial
Abstract Background Randomisation is an essential component of any clinical trial to eliminate selection bias and ensure similar distribution of confounders between the treatment groups. For randomisation to be successfully implemented, there must be adequate allocation concealment. Many low-cost…
-
Journal Article
Improving the design of epidemiology studies that use biomonitoring for exposure assessment: a SciPinion panel recommendation
Abstract Background Epidemiological studies that rely on biomarkers of exposure typically estimate each subject’s exposure from measurements on that individual. If repeated measurements of biomarkers of exposure are obtained on an individual, they are typically averaged. This averaging helps to…
-
Journal Article
Assessing data extraction in randomized clinical trials with large language models
Abstract Background Data extraction is an essential step in evidence synthesis but remains time-consuming and prone to human error. Large language models (LLMs) such as ChatGPT-4 and Claude 3 Opus may offer partial automation solutions. This proof-of-concept study evaluated their preliminary…
-
Journal Article
Human-AI collaboration enhances the performance of large language models in risk of bias assessment
Abstract Background Risk of bias (RoB) assessment is essential in systematic reviews and clinical guideline development. Current manual processes are complex, inefficient, and inconsistent. Large language models (LLMs) have potential to assist RoB assessment, but their standalone performance is…
-
Journal Article
Approaches in analyzing predictors of trial failure: a scoping review and meta-epidemiological study
Abstract Background Although there are numerous studies exploring predictors of clinical trial failure, no comprehensive review of their methodological specificities and findings exists. We performed a scoping review with the aim of exploring the methodological approaches and findings of studies…
Showing at most 50 pages. Narrow your search with filters for more specific results.