BMC Medical Research Methodology

Papers
(The H4-Index of BMC Medical Research Methodology is 39. 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 2020-01-01 to 2024-01-01.)
ArticleCitations
Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions214
COSMIN Risk of Bias tool to assess the quality of studies on reliability or measurement error of outcome measurement instruments: a Delphi study163
IPDfromKM: reconstruct individual patient data from published Kaplan-Meier survival curves162
Conducting proportional meta-analysis in different types of systematic reviews: a guide for synthesisers of evidence159
How are systematic reviews of prevalence conducted? A methodological study130
Social media as a recruitment platform for a nationwide online survey of COVID-19 knowledge, beliefs, and practices in the United States: methodology and feasibility analysis128
Software tools to support title and abstract screening for systematic reviews in healthcare: an evaluation125
Generation and evaluation of synthetic patient data123
Assessing the quality of health research from an Indigenous perspective: the Aboriginal and Torres Strait Islander quality appraisal tool119
Open science saves lives: lessons from the COVID-19 pandemic105
Semantic and cognitive tools to aid statistical science: replace confidence and significance by compatibility and surprise98
Major adverse cardiovascular event definitions used in observational analysis of administrative databases: a systematic review91
COVID-19-related medical research: a meta-research and critical appraisal88
Accuracy of random-forest-based imputation of missing data in the presence of non-normality, non-linearity, and interaction75
Joint analysis of duration of ventilation, length of intensive care, and mortality of COVID-19 patients: a multistate approach75
Bayesian alternatives to null hypothesis significance testing in biomedical research: a non-technical introduction to Bayesian inference with JASP72
A conceptual framework for prognostic research64
Coronavirus disease 2019 (COVID-19): an evidence map of medical literature62
Mediation analysis methods used in observational research: a scoping review and recommendations62
Managing overlap of primary study results across systematic reviews: practical considerations for authors of overviews of reviews59
Improving design choices in Delphi studies in medicine: the case of an exemplary physician multi-round panel study with 100% response59
Protocol registration issues of systematic review and meta-analysis studies: a survey of global researchers56
Conceptualising natural and quasi experiments in public health54
Real-world data: a brief review of the methods, applications, challenges and opportunities54
Methodological challenges of analysing COVID-19 data during the pandemic53
A tutorial on methodological studies: the what, when, how and why51
Comparison of different rating scales for the use in Delphi studies: different scales lead to different consensus and show different test-retest reliability51
Impact of the COVID-19 pandemic on publication dynamics and non-COVID-19 research production50
Most published meta-regression analyses based on aggregate data suffer from methodological pitfalls: a meta-epidemiological study48
LEVEL (Logical Explanations & Visualizations of Estimates in Linear mixed models): recommendations for reporting multilevel data and analyses46
Ensuring protocol compliance and data transparency in clinical trials using Blockchain smart contracts44
Analysis of Bayesian posterior significance and effect size indices for the two-sample t-test to support reproducible medical research43
Going web or staying paper? The use of web-surveys among older people42
Application of machine learning in predicting hospital readmissions: a scoping review of the literature42
Research methodology and characteristics of journal articles with original data, preprint articles and registered clinical trial protocols about COVID-1941
Directed acyclic graphs and causal thinking in clinical risk prediction modeling39
A narrative review on the validity of electronic health record-based research in epidemiology39
An evaluation of DistillerSR’s machine learning-based prioritization tool for title/abstract screening – impact on reviewer-relevant outcomes39
Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review39
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