OOIR: Observatory of International Research

Papers

(The H4-Index of BMC Medical Research Methodology is 40. 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 2020-07-01 to 2024-07-01.)

Article	Citations
Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions	277
Conducting proportional meta-analysis in different types of systematic reviews: a guide for synthesisers of evidence	244
IPDfromKM: reconstruct individual patient data from published Kaplan-Meier survival curves	228
COSMIN Risk of Bias tool to assess the quality of studies on reliability or measurement error of outcome measurement instruments: a Delphi study	220
Major adverse cardiovascular event definitions used in observational analysis of administrative databases: a systematic review	144
Semantic and cognitive tools to aid statistical science: replace confidence and significance by compatibility and surprise	125
Open science saves lives: lessons from the COVID-19 pandemic	123
Real-world data: a brief review of the methods, applications, challenges and opportunities	106
Mediation analysis methods used in observational research: a scoping review and recommendations	103
COVID-19-related medical research: a meta-research and critical appraisal	102
Accuracy of random-forest-based imputation of missing data in the presence of non-normality, non-linearity, and interaction	100
Managing overlap of primary study results across systematic reviews: practical considerations for authors of overviews of reviews	83
Joint analysis of duration of ventilation, length of intensive care, and mortality of COVID-19 patients: a multistate approach	83
Sample size calculation for prevalence studies using Scalex and ScalaR calculators	71
Impact of the COVID-19 pandemic on publication dynamics and non-COVID-19 research production	68
Protocol registration issues of systematic review and meta-analysis studies: a survey of global researchers	67
Most published meta-regression analyses based on aggregate data suffer from methodological pitfalls: a meta-epidemiological study	65
Conceptualising natural and quasi experiments in public health	65
Coronavirus disease 2019 (COVID-19): an evidence map of medical literature	64
Machine learning in medicine: a practical introduction to natural language processing	62
A narrative review on the validity of electronic health record-based research in epidemiology	57
A tutorial on methodological studies: the what, when, how and why	56
A scoping review of Q-methodology in healthcare research	56
An evaluation of DistillerSR’s machine learning-based prioritization tool for title/abstract screening – impact on reviewer-relevant outcomes	54
Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review	54

Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R	52
Application of machine learning in predicting hospital readmissions: a scoping review of the literature	52
Going web or staying paper? The use of web-surveys among older people	52
Ensuring protocol compliance and data transparency in clinical trials using Blockchain smart contracts	51
An R package for an integrated evaluation of statistical approaches to cancer incidence projection	50
Quality assessment tools used in systematic reviews of in vitro studies: A systematic review	48
Comparison of six statistical methods for interrupted time series studies: empirical evaluation of 190 published series	48
Using a distribution-based approach and systematic review methods to derive minimum clinically important differences	47
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review	46
Epistemonikos: a comprehensive database of systematic reviews for health decision-making	43
Directed acyclic graphs and causal thinking in clinical risk prediction modeling	43
A comparison of residual diagnosis tools for diagnosing regression models for count data	41
A roadmap to using randomization in clinical trials	41
Estimating age-specific COVID-19 fatality risk and time to death by comparing population diagnosis and death patterns: Australian data	40
Methodological guidance for the evaluation and updating of clinical prediction models: a systematic review	40
Developing a toolkit for increasing the participation of black, Asian and minority ethnic communities in health and social care research	40