BMC Medical Research Methodology

Papers
(The H4-Index of BMC Medical Research Methodology is 38. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-08-01 to 2024-08-01.)
ArticleCitations
Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions292
Conducting proportional meta-analysis in different types of systematic reviews: a guide for synthesisers of evidence259
IPDfromKM: reconstruct individual patient data from published Kaplan-Meier survival curves251
COSMIN Risk of Bias tool to assess the quality of studies on reliability or measurement error of outcome measurement instruments: a Delphi study235
Major adverse cardiovascular event definitions used in observational analysis of administrative databases: a systematic review151
Semantic and cognitive tools to aid statistical science: replace confidence and significance by compatibility and surprise128
Open science saves lives: lessons from the COVID-19 pandemic124
Real-world data: a brief review of the methods, applications, challenges and opportunities121
Mediation analysis methods used in observational research: a scoping review and recommendations111
COVID-19-related medical research: a meta-research and critical appraisal106
Joint analysis of duration of ventilation, length of intensive care, and mortality of COVID-19 patients: a multistate approach85
Managing overlap of primary study results across systematic reviews: practical considerations for authors of overviews of reviews85
Sample size calculation for prevalence studies using Scalex and ScalaR calculators77
Impact of the COVID-19 pandemic on publication dynamics and non-COVID-19 research production74
Protocol registration issues of systematic review and meta-analysis studies: a survey of global researchers69
Most published meta-regression analyses based on aggregate data suffer from methodological pitfalls: a meta-epidemiological study68
Conceptualising natural and quasi experiments in public health66
Machine learning in medicine: a practical introduction to natural language processing65
A tutorial on methodological studies: the what, when, how and why59
A narrative review on the validity of electronic health record-based research in epidemiology59
Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review57
Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R56
An evaluation of DistillerSR’s machine learning-based prioritization tool for title/abstract screening – impact on reviewer-relevant outcomes56
A scoping review of Q-methodology in healthcare research56
Going web or staying paper? The use of web-surveys among older people55
Ensuring protocol compliance and data transparency in clinical trials using Blockchain smart contracts54
Application of machine learning in predicting hospital readmissions: a scoping review of the literature53
Using a distribution-based approach and systematic review methods to derive minimum clinically important differences51
An R package for an integrated evaluation of statistical approaches to cancer incidence projection51
Comparison of six statistical methods for interrupted time series studies: empirical evaluation of 190 published series48
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review48
Quality assessment tools used in systematic reviews of in vitro studies: A systematic review48
Methodological guidance for the evaluation and updating of clinical prediction models: a systematic review47
Epistemonikos: a comprehensive database of systematic reviews for health decision-making45
Developing a toolkit for increasing the participation of black, Asian and minority ethnic communities in health and social care research41
A roadmap to using randomization in clinical trials41
Estimating age-specific COVID-19 fatality risk and time to death by comparing population diagnosis and death patterns: Australian data40
Re-evaluation of the comparative effectiveness of bootstrap-based optimism correction methods in the development of multivariable clinical prediction models39
Development, testing and use of data extraction forms in systematic reviews: a review of methodological guidance38
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