Articles
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Citation: BMC Medical Research Methodology 2023 23:32
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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 -
Misspecification of confounder-exposure and confounder-outcome associations leads to bias in effect estimates
Confounding is a common issue in epidemiological research. Commonly used confounder-adjustment methods include multivariable regression analysis and propensity score methods. Although it is common practice to ...
Citation: BMC Medical Research Methodology 2023 23:11 -
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 -
Machine learning for predicting neurodegenerative diseases in the general older population: a cohort study
In the older general population, neurodegenerative diseases (NDs) are associated with increased disability, decreased physical and cognitive function. Detecting risk factors can help implement prevention measu...
Citation: BMC Medical Research Methodology 2023 23:8 -
Semiparametric modelling of diabetic retinopathy among people with type II diabetes mellitus
The proportion of patients with diabetic retinopathy (DR) has grown with increasing number of diabetes mellitus patients in the world. It is among the major causes of blindness worldwide. The main objective of...
Citation: BMC Medical Research Methodology 2023 23:7 -
Studies with statistically significant effect estimates are more frequently published compared to non-significant estimates in oral health journals
Studies reporting statistically significant effect estimates tend to be more frequently published compared to studies reporting non-significant or equivalent estimates. Consequently, this may lead to distortio...
Citation: BMC Medical Research Methodology 2023 23:6 -
Predicting the risk of a clinical event using longitudinal data: the generalized landmark analysis
In the development of prediction models for a clinical event, it is common to use the static prediction modeling (SPM), a regression model that relates baseline predictors to the time to event. In many situati...
Citation: BMC Medical Research Methodology 2023 23:5 -
Estimation of marginal structural models under irregular visits and unmeasured confounder: calibrated inverse probability weights
Clinical information collected in electronic health records (EHRs) is becoming an essential source to emulate randomized experiments. Since patients do not interact with the healthcare system at random, the lo...
Citation: BMC Medical Research Methodology 2023 23:4 -
Detection of grey zones in inter-rater agreement studies
In inter-rater agreement studies, the assessment behaviour of raters can be influenced by their experience, training levels, the degree of willingness to take risks, and the availability of clear guidelines fo...
Citation: BMC Medical Research Methodology 2023 23:3 -
A gated group sequential design for seamless Phase II/III trial with subpopulation selection
Due to the high cost and high failure rate of Phase III trials where a classical group sequential design (GSD) is usually used, seamless Phase II/III designs are more and more popular to improve trial efficien...
Citation: BMC Medical Research Methodology 2023 23:2 -
Individual patient data to allow a more elaborated comparison of trial results with real-world outcomes from second-line immunotherapy in NSCLC
Many studies have compared real-world clinical outcomes of immunotherapy in patients with metastatic non-small cell lung cancer (NSCLC) with reported outcomes data from pivotal trials. However, any differences...
Citation: BMC Medical Research Methodology 2023 23:1 -
Interpretable generalized neural additive models for mortality prediction of COVID-19 hospitalized patients in Hamadan, Iran
The high number of COVID-19 deaths is a serious threat to the world. Demographic and clinical biomarkers are significantly associated with the mortality risk of this disease. This study aimed to implement Gene...
Citation: BMC Medical Research Methodology 2022 22:339 -
The factor structure of the cardiac anxiety questionnaire, and validation in a post-MI population
CVD-patients with higher levels of cardiac anxiety suffer psychologically, as well as being at increased risk for cardiac morbidity and mortality. Therefore it is important to be able to assess CA in a clinica...
Citation: BMC Medical Research Methodology 2022 22:338 -
Estimation of average treatment effect based on a multi-index propensity score
Estimating the average effect of a treatment, exposure, or intervention on health outcomes is a primary aim of many medical studies. However, unbalanced covariates between groups can lead to confounding bias w...
Citation: BMC Medical Research Methodology 2022 22:337 -
MetaAnalyst: a user-friendly tool for metagenomic biomarker detection and phenotype classification
Many metagenomic studies have linked the imbalance in microbial abundance profiles to a wide range of diseases. These studies suggest utilizing the microbial abundance profiles as potential markers for metagen...
Citation: BMC Medical Research Methodology 2022 22:336 -
External control arm analysis: an evaluation of propensity score approaches, G-computation, and doubly debiased machine learning
An external control arm is a cohort of control patients that are collected from data external to a single-arm trial. To provide an unbiased estimation of efficacy, the clinical profiles of patients from single...
Citation: BMC Medical Research Methodology 2022 22:335 -
CAT HPPR: a critical appraisal tool to assess the quality of systematic, rapid, and scoping reviews investigating interventions in health promotion and prevention
For over three decades researchers have developed critical appraisal tools (CATs) for assessing the scientific quality of research overviews. Most established CATs for reviews in evidence-based medicine and ev...
Citation: BMC Medical Research Methodology 2022 22:334 -
Combinational Regularity Analysis (CORA) — a new method for uncovering complex causation in medical and health research
Modern configurational comparative methods (CCMs) of causal inference, such as Qualitative Comparative Analysis (QCA) and Coincidence Analysis (CNA), have started to make inroads into medical and health resear...
Citation: BMC Medical Research Methodology 2022 22:333 -
Transformation of Rasch model logits for enhanced interpretability
The Rasch model allows for linear measurement based on ordinal item responses from rating scales commonly used to assess health outcomes. Such linear measures may be inconvenient since they are expressed as lo...
Citation: BMC Medical Research Methodology 2022 22:332 -
Machine learning-based techniques to improve lung transplantation outcomes and complications: a systematic review
Machine learning has been used to develop predictive models to support clinicians in making better and more reliable decisions. The high volume of collected data in the lung transplant process makes it possibl...
Citation: BMC Medical Research Methodology 2022 22:331 -
Going virtual during the COVID-19 pandemic: adaptation of a mixed-methods dietary behavior study within a community-based participatory research study of African-American adults at risk for cardiovascular disease
Identifying mechanisms to maintain CBPR studies during an infectious disease pandemic is vital. The current paper describes the changes in methods and processes conducted within a CBPR mixed-methods study to a...
Citation: BMC Medical Research Methodology 2022 22:330 -
Intervention effect estimates in randomised controlled trials conducted in primary care versus secondary or tertiary care settings: a meta-epidemiological study
Many clinical practice guidelines are based on randomised controlled trials conducted in secondary or tertiary care setting and general practitioners frequently question their relevance for primary care patien...
Citation: BMC Medical Research Methodology 2022 22:329 -
Model selection for survival individualized treatment rules using the jackknife estimator
Precision medicine is an emerging field that involves the selection of treatments based on patients’ individual prognostic data. It is formalized through the identification of individualized treatment rules (I...
Citation: BMC Medical Research Methodology 2022 22:328 -
Evaluation of two-stage designs of Phase 2 single-arm trials in glioblastoma: a systematic review
Due to economical and ethical reasons, the two-stage designs have been widely used for Phase 2 single-arm trials in oncology because the designs allow us to stop the trial early if the proposed treatment is li...
Citation: BMC Medical Research Methodology 2022 22:327 -
Treatment of missing data in Bayesian network structure learning: an application to linked biomedical and social survey data
Availability of linked biomedical and social science data has risen dramatically in past decades, facilitating holistic and systems-based analyses. Among these, Bayesian networks have great potential to tackle...
Citation: BMC Medical Research Methodology 2022 22:326 -
Personalized prediction of incident hospitalization for cardiovascular disease in patients with hypertension using machine learning
Prognostic information for patients with hypertension is largely based on population averages. The purpose of this study was to compare the performance of four machine learning approaches for personalized pred...
Citation: BMC Medical Research Methodology 2022 22:325 -
Using group testing in a two-phase epidemiologic design to identify the effects of a large number of antibody reactions on disease risk
The role of immunological responses to exposed bacteria on disease incidence is increasingly under investigation. With many bacterial species, and many potential antibody reactions to a particular species, the...
Citation: BMC Medical Research Methodology 2022 22:324 -
How do study design features and participant characteristics influence willingness to participate in clinical trials? Results from a choice experiment
Research about the decision to participate in a clinical study has tended to be limited to single indications and has focused on narrow sets of study and participant characteristics. This study applied stated ...
Citation: BMC Medical Research Methodology 2022 22:323 -
Machine learning computational tools to assist the performance of systematic reviews: A mapping review
Within evidence-based practice (EBP), systematic reviews (SR) are considered the highest level of evidence in that they summarize the best available research and describe the progress in a determined field. Du...
Citation: BMC Medical Research Methodology 2022 22:322
Annual Journal Metrics
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Citation Impact
4.622 - 2-year Impact Factor (2021)
6.727 - 5-year Impact Factor (2021)
2.742 - SNIP (Source Normalized Impact per Paper)
1.933 - SJR (SCImago Journal Rank)Speed
48 days to first decision for all manuscripts (Median)
58 days to first decision for reviewed manuscripts only (Median)Usage
4,455,062 Downloads (2021)
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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