Articles
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Citation: BMC Medical Research Methodology 2023 23:59
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Estimating sensitivity and specificity of diagnostic tests using latent class models that account for conditional dependence between tests: a simulation study
Latent class models are increasingly used to estimate the sensitivity and specificity of diagnostic tests in the absence of a gold standard, and are commonly fitted using Bayesian methods. These models allow u...
Citation: BMC Medical Research Methodology 2023 23:58 -
A clinical phase I dose-finding design with adaptive shrinking boundaries for drug combination trials
Combinations of drugs are becoming increasingly common in oncology treatment. In some cases, patients can benefit from the interaction between two drugs, although there is usually a higher risk of developing t...
Citation: BMC Medical Research Methodology 2023 23:57 -
Exploring data reduction strategies in the analysis of continuous pressure imaging technology
Science is becoming increasingly data intensive as digital innovations bring new capacity for continuous data generation and storage. This progress also brings challenges, as many scientific initiatives are ch...
Citation: BMC Medical Research Methodology 2023 23:56 -
Addressing misclassification bias in vaccine effectiveness studies with an application to Covid-19
Safe and effective vaccines are crucial for the control of Covid-19 and to protect individuals at higher risk of severe disease. The test-negative design is a popular option for evaluating the effectiveness of...
Citation: BMC Medical Research Methodology 2023 23:55 -
Recruiting and retaining community-based participants in a COVID-19 longitudinal cohort and social networks study: lessons from Victoria, Australia
Longitudinal studies are critical to informing evolving responses to COVID-19 but can be hampered by attrition bias, which undermines their reliability for guiding policy and practice. We describe recruitment ...
Citation: BMC Medical Research Methodology 2023 23:54 -
Reporting quality of scoping reviews in dental public health
The study aimed to explore reporting characteristics of scoping reviews in dental public health and the impact of some factors on the reporting quality.
Citation: BMC Medical Research Methodology 2023 23:53 -
Practical basket design for binary outcomes with control of family-wise error rate
A basket trial is a type of clinical trial in which eligibility is based on the presence of specific molecular characteristics across subpopulations with different cancer types. The existing basket designs wit...
Citation: BMC Medical Research Methodology 2023 23:52 -
Statistical models versus machine learning for competing risks: development and validation of prognostic models
In health research, several chronic diseases are susceptible to competing risks (CRs). Initially, statistical models (SM) were developed to estimate the cumulative incidence of an event in the presence of CRs....
Citation: BMC Medical Research Methodology 2023 23:51 -
Validation of Oura ring energy expenditure and steps in laboratory and free-living
Commercial activity trackers are increasingly used in research and compared with research-based accelerometers are often less intrusive, cheaper, with improved storage and battery capacity, although typically ...
Citation: BMC Medical Research Methodology 2023 23:50 -
Power and sample sizes estimation in clinical trials with treatment switching in intention-to-treat analysis: a simulation study
Treatment switching, also called crossover, is common in clinical trials because of ethical concerns or other reasons. When it occurs and the primary objective is to identify treatment effects, the most widely...
Citation: BMC Medical Research Methodology 2023 23:49 -
Correction: Differences between experimental and placebo arms in manual therapy trials: a methodological review
Citation: BMC Medical Research Methodology 2023 23:48 -
Concordance of neonatal critical condition data between secondary databases: Florida and Texas birth certificate Linkage with medicaid analytic extract
Limited information is available about neonates’ critical conditions data quality. The study aim was to measure the agreement regarding presence of neonatal critical conditions between Medicaid Analytic eXtrac...
Citation: BMC Medical Research Methodology 2023 23:47 -
Data quality considerations for evaluating COVID-19 treatments using real world data: learnings from the National COVID Cohort Collaborative (N3C)
Multi-institution electronic health records (EHR) are a rich source of real world data (RWD) for generating real world evidence (RWE) regarding the utilization, benefits and harms of medical interventions. The...
Citation: BMC Medical Research Methodology 2023 23:46 -
The iterative bisection procedure: a useful tool for determining parameter values in data-generating processes in Monte Carlo simulations
Data-generating processes are key to the design of Monte Carlo simulations. It is important for investigators to be able to simulate data with specific characteristics.
Citation: BMC Medical Research Methodology 2023 23:45 -
CHARMS and PROBAST at your fingertips: a template for data extraction and risk of bias assessment in systematic reviews of predictive models
Systematic reviews of studies of clinical prediction models are becoming increasingly abundant in the literature. Data extraction and risk of bias assessment are critical steps in any systematic review. CHARMS...
Citation: BMC Medical Research Methodology 2023 23:44 -
Agreement test of P value versus Bayes factor for sample means comparison: analysis of articles from the Angle Orthodontist journal
Researchers are cautioned against misinterpreting the conventional P value, especially while implementing the popular t test. Therefore, this study evaluated the agreement between the P value and Bayes factor (BF
Citation: BMC Medical Research Methodology 2023 23:43 -
Should multiple imputation be stratified by exposure group when estimating causal effects via outcome regression in observational studies?
Despite recent advances in causal inference methods, outcome regression remains the most widely used approach for estimating causal effects in epidemiological studies with a single-point exposure and outcome. ...
Citation: BMC Medical Research Methodology 2023 23:42 -
Propensity score analysis with missing data using a multi-task neural network
Propensity score analysis is increasingly used to control for confounding factors in observational studies. Unfortunately, unavoidable missing values make estimating propensity scores extremely challenging. We...
Citation: BMC Medical Research Methodology 2023 23:41 -
Estimating disease incidence rates and transition probabilities in elderly patients using multi-state models: a case study in fragility fracture using a Bayesian approach
Multi-state models are complex stochastic models which focus on pathways defined by the temporal and sequential occurrence of numerous events of interest. In particular, the so-called illness-death models are ...
Citation: BMC Medical Research Methodology 2023 23:40 -
Estimating incidence of type 1 and type 2 diabetes using prevalence data: the SEARCH for Diabetes in Youth study
Incidence is one of the most important epidemiologic indices in surveillance. However, determining incidence is complex and requires time-consuming cohort studies or registries with date of diagnosis. Estimati...
Citation: BMC Medical Research Methodology 2023 23:39 -
Correction: A hybrid machine learning framework to improve prediction of all-cause rehospitalization among eldely patients in Hong Kong
Citation: BMC Medical Research Methodology 2023 23:38 -
Adjusting for outcome risk factors in immigrant datasets: total or direct effects?
When quantifying differences in health outcomes between immigrants and non-immigrants, it is common practice to adjust for observed differences in outcome risk factors between the groups being compared. Howeve...
Citation: BMC Medical Research Methodology 2023 23:37 -
When a joint model should be preferred over a linear mixed model for analysis of longitudinal health-related quality of life data in cancer clinical trials
Patient-reported outcomes such as health-related quality of life (HRQoL) are increasingly used as endpoints in randomized cancer clinical trials. However, the patients often drop out so that observation of the...
Citation: BMC Medical Research Methodology 2023 23:36 -
The empirical estimate of the survival and variance using a weighted composite endpoint
Composite endpoints for estimating treatment efficacy are routinely used in several therapeutic areas and have become complex in the number and types of component outcomes included. It is assumed that its comp...
Citation: BMC Medical Research Methodology 2023 23:35 -
Primary and secondary data in emergency medicine health services research – a comparative analysis in a regional research network on multimorbid patients
This analysis addresses the characteristics of two emergency department (ED) patient populations defined by three model diseases (hip fractures, respiratory, and cardiac symptoms) making use of survey (primary...
Citation: BMC Medical Research Methodology 2023 23:34 -
Empirical evaluation of internal validation methods for prediction in large-scale clinical data with rare-event outcomes: a case study in suicide risk prediction
There is increasing interest in clinical prediction models for rare outcomes such as suicide, psychiatric hospitalizations, and opioid overdose. Accurate model validation is needed to guide model selection and...
Citation: BMC Medical Research Methodology 2023 23:33 -
Correction: Machine learning for predicting neurodegenerative diseases in the general older population: a cohort study
Citation: BMC Medical Research Methodology 2023 23:32 -
Minimizing population health loss due to scarcity in OR capacity: validation of quality of life input
A previously developed decision model to prioritize surgical procedures in times of scarce surgical capacity used quality of life (QoL) primarily derived from experts in one center. These estimates are key inp...
Citation: BMC Medical Research Methodology 2023 23:31 -
No need for a gold-standard test: on the mining of diagnostic test performance indices merely based on the distribution of the test value
Diagnostic tests are important in clinical medicine. To determine the test performance indices — test sensitivity, specificity, likelihood ratio, predictive values, etc. — the test results should be compared a...
Citation: BMC Medical Research Methodology 2023 23:30 -
Construction of the Armenian Surname List (ASL) for public health research
There are an estimated 460,000 Armenians in the United States, and more than half live in California. Armenian-Americans are generally represented within the ‘White’ or ‘Some Other Race’ race categories in pop...
Citation: BMC Medical Research Methodology 2023 23:29 -
Correction: Impact of sampling and data collection methods on maternity survey response: a randomised controlled trial of paper and push-to-web surveys and a concurrent social media survey
Citation: BMC Medical Research Methodology 2023 23:28 -
Towards full clinical trial registration and results publication: longitudinal meta-research study in Northwestern and Central Switzerland
The registration of clinical trials is required by law in Switzerland. We investigated (1) the proportion of registered and prospectively registered clinical trials, (2) the availability of results for ethical...
Citation: BMC Medical Research Methodology 2023 23:27 -
Correction: Individual patient data to allow a more elaborated comparison of trial results with real-world outcomes from second-line immunotherapy in NSCLC
Citation: BMC Medical Research Methodology 2023 23:26 -
Developing a Bayesian hierarchical model for a prospective individual patient data meta-analysis with continuous monitoring
Numerous clinical trials have been initiated to find effective treatments for COVID-19. These trials have often been initiated in regions where the pandemic has already peaked. Consequently, achieving full enr...
Citation: BMC Medical Research Methodology 2023 23:25 -
Unraveling the COVID-19 hospitalization dynamics in Spain using Bayesian inference
One of the main challenges of the COVID-19 pandemic is to make sense of available, but often heterogeneous and noisy data. This contribution presents a data-driven methodology that allows exploring the hospita...
Citation: BMC Medical Research Methodology 2023 23:24 -
Multivariate longitudinal data for survival analysis of cardiovascular event prediction in young adults: insights from a comparative explainable study
Multivariate longitudinal data are under-utilized for survival analysis compared to cross-sectional data (CS - data collected once across cohort). Particularly in cardiovascular risk prediction, despite availa...
Citation: BMC Medical Research Methodology 2023 23:23 -
Comparison of State-of-the-Art Neural Network Survival Models with the Pooled Cohort Equations for Cardiovascular Disease Risk Prediction
The Pooled Cohort Equations (PCEs) are race- and sex-specific Cox proportional hazards (PH)-based models used for 10-year atherosclerotic cardiovascular disease (ASCVD) risk prediction with acceptable discrimi...
Citation: BMC Medical Research Methodology 2023 23:22 -
Patient-reported outcome measures for physical function in cancer patients: content comparison of the EORTC CAT Core, EORTC QLQ-C30, SF-36, FACT-G, and PROMIS measures using the International Classification of Functioning, Disability and Health
Patient-reported physical function (PF) is a key endpoint in cancer clinical trials. Using complex statistical methods, common metrics have been developed to compare scores from different patient-reported outc...
Citation: BMC Medical Research Methodology 2023 23:21 -
A cross-sectional study of the endorsement proportion of reporting guidelines in 1039 Chinese medical journals
Reporting quality is a critical issue in health sciences. Adopting the reporting guidelines has been approved to be an effective way of enhancing the reporting quality and transparency of clinical research. In...
Citation: BMC Medical Research Methodology 2023 23:20 -
Heterogeneity estimation in meta-analysis of standardized mean differences when the distribution of random effects departs from normal: A Monte Carlo simulation study
Advantages of meta-analysis depend on the assumptions underlying the statistical procedures used being met. One of the main assumptions that is usually taken for granted is the normality underlying the populat...
Citation: BMC Medical Research Methodology 2023 23:19 -
Comparing g-computation, propensity score-based weighting, and targeted maximum likelihood estimation for analyzing externally controlled trials with both measured and unmeasured confounders: a simulation study
To have confidence in one's interpretation of treatment effects assessed by comparing trial results to external controls, minimizing bias is a critical step. We sought to investigate different methods for caus...
Citation: BMC Medical Research Methodology 2023 23:18 -
Intentional and actional components of engaged participation in public health research studies: qualitative synthesis of a recruitment and retention process into the theory-informed INTACT-RS framework
Ensuring motivated and successful study participation is a key challenge in the design and conduct of health research studies. Previously, recruitment barriers and facilitators have been identified mainly from...
Citation: BMC Medical Research Methodology 2023 23:17 -
Recruitment and retention into longitudinal health research from an adolescent perspective: a qualitative study
High quality longitudinal studies investigating changes in health behaviours over the transition into early adulthood are critical. However, recruiting and retaining adolescents is challenging. This study expl...
Citation: BMC Medical Research Methodology 2023 23:16 -
Grouped data with survey revision
Surveys are common research tools, and questionnaires revisions are a common occurrence in longitudinal studies. Revisions can, at times, introduce systematic shifts in measures of interest. We formulate that ...
Citation: BMC Medical Research Methodology 2023 23:15 -
A hybrid machine learning framework to improve prediction of all-cause rehospitalization among elderly patients in Hong Kong
Accurately estimating elderly patients’ rehospitalisation risk benefits clinical decisions and service planning. However, research in rehospitalisation and repeated hospitalisation yielded only models with mod...
Citation: BMC Medical Research Methodology 2023 23:14 -
In search of a ‘pan-European value set’; application for EQ-5D-3L
Country-specific value sets for the EQ-5D are available which reflect preferences for health states elicited from the general population. This allows the transformation of responses on EQ-5D to health state ut...
Citation: BMC Medical Research Methodology 2023 23:13 -
Power and sample size analysis for longitudinal mixed models of health in populations exposed to environmental contaminants: a tutorial
When evaluating the impact of environmental exposures on human health, study designs often include a series of repeated measurements. The goal is to determine whether populations have different trajectories of...
Citation: BMC Medical Research Methodology 2023 23:12 -
Impact of sampling and data collection methods on maternity survey response: a randomised controlled trial of paper and push-to-web surveys and a concurrent social media survey
Novel survey methods are needed to tackle declining response rates. The 2020 National Maternity Survey included a randomised controlled trial (RCT) and social media survey to compare different combinations of ...
Citation: BMC Medical Research Methodology 2023 23:10 -
The reporting of prognostic prediction models for obstetric care was poor: a cross-sectional survey of 10-year publications
To investigate the reporting of prognostic prediction model studies in obstetric care through a cross-sectional survey design.
Citation: BMC Medical Research Methodology 2023 23:9
Annual Journal Metrics
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2022 Citation Impact
4.0 - 2-year Impact Factor
7.0 - 5-year Impact Factor
2.055 - SNIP (Source Normalized Impact per Paper)
1.778 - SJR (SCImago Journal Rank)2023 Speed
40 days submission to first editorial decision for all manuscripts (Median)
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Peer-review Terminology
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The following summary describes the peer review process for this journal:
Identity transparency: Single anonymized
Reviewer interacts with: Editor
Review information published: Review reports. Reviewer Identities reviewer opt in. Author/reviewer communication