BMC Medical Research Methodology

Papers
(The TQCC of BMC Medical Research Methodology is 7. 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
Joint analysis of duration of ventilation, length of intensive care, and mortality of COVID-19 patients: a multistate approach75
Accuracy of random-forest-based imputation of missing data in the presence of non-normality, non-linearity, and interaction75
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
Improving design choices in Delphi studies in medicine: the case of an exemplary physician multi-round panel study with 100% response59
Managing overlap of primary study results across systematic reviews: practical considerations for authors of overviews of reviews59
Protocol registration issues of systematic review and meta-analysis studies: a survey of global researchers56
Real-world data: a brief review of the methods, applications, challenges and opportunities54
Conceptualising natural and quasi experiments in public health54
Methodological challenges of analysing COVID-19 data during the pandemic53
Comparison of different rating scales for the use in Delphi studies: different scales lead to different consensus and show different test-retest reliability51
A tutorial on methodological studies: the what, when, how and why51
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
Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R38
A scoping review of Q-methodology in healthcare research38
Epistemonikos: a comprehensive database of systematic reviews for health decision-making38
Sample size calculation for prevalence studies using Scalex and ScalaR calculators37
Estimating age-specific COVID-19 fatality risk and time to death by comparing population diagnosis and death patterns: Australian data36
Quality assessment tools used in systematic reviews of in vitro studies: A systematic review36
Applying an intersectionality lens to the theoretical domains framework: a tool for thinking about how intersecting social identities and structures of power influence behaviour36
Re-evaluation of the comparative effectiveness of bootstrap-based optimism correction methods in the development of multivariable clinical prediction models36
An R package for an integrated evaluation of statistical approaches to cancer incidence projection36
How methodological frameworks are being developed: evidence from a scoping review35
Translation method is validity evidence for construct equivalence: analysis of secondary data routinely collected during translations of the Health Literacy Questionnaire (HLQ)35
Using a distribution-based approach and systematic review methods to derive minimum clinically important differences34
Machine learning in medicine: a practical introduction to natural language processing34
Don’t dismiss logistic regression: the case for sensible extraction of interactions in the era of machine learning34
Missing-data analysis: socio- demographic, clinical and lifestyle determinants of low response rate on self- reported psychological and nutrition related multi- item instruments in the context of the 32
Novel citation-based search method for scientific literature: a validation study32
Obtaining and managing data sets for individual participant data meta-analysis: scoping review and practical guide32
The TRANSFER Approach for assessing the transferability of systematic review findings29
Comparison of six statistical methods for interrupted time series studies: empirical evaluation of 190 published series29
Laplace approximation, penalized quasi-likelihood, and adaptive Gauss–Hermite quadrature for generalized linear mixed models: towards meta-analysis of binary outcome with sparse data29
An evaluation of inverse probability weighting using the propensity score for baseline covariate adjustment in smaller population randomised controlled trials with a continuous outcome29
Social network analysis methods for exploring SARS-CoV-2 contact tracing data28
A comparison of residual diagnosis tools for diagnosing regression models for count data28
Measuring psychological safety in healthcare teams: developing an observational measure to complement survey methods28
Predictive approaches to heterogeneous treatment effects: a scoping review28
Validity and reliability of State-Trait Anxiety Inventory in Danish women aged 45 years and older with abnormal cervical screening results27
The unintended consequences of COVID-19 mitigation measures matter: practical guidance for investigating them27
Database combinations to retrieve systematic reviews in overviews of reviews: a methodological study27
A roadmap to using randomization in clinical trials27
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review27
Methodological tools and sensitivity analysis for assessing quality or risk of bias used in systematic reviews published in the high-impact anesthesiology journals26
Comparison of Bayesian and frequentist group-sequential clinical trial designs26
A modified Delphi study to identify the features of high quality measurement plans for healthcare improvement projects26
Development, testing and use of data extraction forms in systematic reviews: a review of methodological guidance26
International severe asthma registry (ISAR): protocol for a global registry26
Survival prediction models since liver transplantation - comparisons between Cox models and machine learning techniques26
Evaluating complex interventions in context: systematic, meta-narrative review of case study approaches26
Using Trial Sequential Analysis for estimating the sample sizes of further trials: example using smoking cessation intervention25
A specific method for qualitative medical research: the IPSE (Inductive Process to analyze the Structure of lived Experience) approach25
Charting the landscape of graphical displays for meta-analysis and systematic reviews: a comprehensive review, taxonomy, and feature analysis24
Using online technologies to improve diversity and inclusion in cognitive interviews with young people24
Protocol registration improves reporting quality of systematic reviews in dentistry24
Evaluation of statistical methods used in the analysis of interrupted time series studies: a simulation study23
The semi-automation of title and abstract screening: a retrospective exploration of ways to leverage Abstrackr’s relevance predictions in systematic and rapid reviews23
Developing a toolkit for increasing the participation of black, Asian and minority ethnic communities in health and social care research23
Evaluation of confounding in epidemiologic studies assessing alcohol consumption on the risk of ischemic heart disease23
Instruments to measure fear of COVID-19: a diagnostic systematic review23
Using multiple agreement methods for continuous repeated measures data: a tutorial for practitioners23
Contamination in complex healthcare trials: the falls in care homes (FinCH) study experience23
Statistical analysis of two arm randomized pre-post designs with one post-treatment measurement22
Bayesian joint modelling of longitudinal and time to event data: a methodological review22
Flexible age-period-cohort modelling illustrated using obesity prevalence data22
Methodological guidance for the evaluation and updating of clinical prediction models: a systematic review22
A review of the use of propensity score diagnostics in papers published in high-ranking medical journals22
Need of care in interpreting Google Trends-based COVID-19 infodemiological study results: potential risk of false-positivity22
Establishment of a pediatric COVID-19 biorepository: unique considerations and opportunities for studying the impact of the COVID-19 pandemic on children22
TIDieR-telehealth: precision in reporting of telehealth interventions used in clinical trials - unique considerations for the Template for the Intervention Description and Replication (TIDieR) checkli21
Including non-concurrent control patients in the analysis of platform trials: is it worth it?21
Comparison of methods for handling covariate missingness in propensity score estimation with a binary exposure21
Inferencing superspreading potential using zero-truncated negative binomial model: exemplification with COVID-1921
Guidance for using artificial intelligence for title and abstract screening while conducting knowledge syntheses21
How are missing data in covariates handled in observational time-to-event studies in oncology? A systematic review21
Strengthening methods for tracking adaptations and modifications to implementation strategies20
A four-step strategy for handling missing outcome data in randomised trials affected by a pandemic20
A systematic survey of randomised trials that stopped early for reasons of futility20
A comparative study on deep learning models for text classification of unstructured medical notes with various levels of class imbalance20
Towards reduction in bias in epidemic curves due to outcome misclassification through Bayesian analysis of time-series of laboratory test results: case study of COVID-19 in Alberta, Canada and Philade20
Compbdt: an R program to compare two binary diagnostic tests subject to a paired design19
Use of machine learning techniques to identify HIV predictors for screening in sub-Saharan Africa19
Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly 19
Which test for crossing survival curves? A user’s guideline19
Assessing the hospital volume-outcome relationship in surgery: a scoping review19
Improving the use of focus group discussions in low income settings19
Comparative analysis of explainable machine learning prediction models for hospital mortality18
Generative adversarial networks for imputing missing data for big data clinical research18
Analysis of COVID-19 data using neutrosophic Kruskal Wallis H test18
Time series prediction of under-five mortality rates for Nigeria: comparative analysis of artificial neural networks, Holt-Winters exponential smoothing and autoregressive integrated moving average mo18
Fuzzy cognitive mapping and soft models of indigenous knowledge on maternal health in Guerrero, Mexico18
COVID19-world: a shiny application to perform comprehensive country-specific data visualization for SARS-CoV-2 epidemic18
Strategies for assessing the impact of loss to follow-up on estimates of neurodevelopmental impairment in a very preterm cohort at 2 years of age18
Making implementation science more real18
LASSO type penalized spline regression for binary data18
Standardizing registry data to the OMOP Common Data Model: experience from three pulmonary hypertension databases18
Machine learning techniques for mortality prediction in critical traumatic patients: anatomic and physiologic variables from the RETRAUCI study18
Assessing repeatability and reproducibility of Anterior Active Rhinomanometry (AAR) in children17
Primary outcome reporting in adolescent depression clinical trials needs standardization17
The ability of different imputation methods for missing values in mental measurement questionnaires17
Immortal time bias for life-long conditions in retrospective observational studies using electronic health records17
Framework for personalized prediction of treatment response in relapsing remitting multiple sclerosis17
Validity and bias on the online active Australia survey: activity level and participant factors associated with self-report bias17
Similarities, reliability and gaps in assessing the quality of conduct of systematic reviews using AMSTAR-2 and ROBIS: systematic survey of nutrition reviews17
Inverse probability weighting to handle attrition in cohort studies: some guidance and a call for caution17
Do we need to adjust for interim analyses in a Bayesian adaptive trial design?17
Outcome choice and definition in systematic reviews leads to few eligible studies included in meta-analyses: a case study17
Noncollapsibility and its role in quantifying confounding bias in logistic regression17
Informing the research agenda for optimizing audit and feedback interventions: results of a prioritization exercise17
Response rate of patient reported outcomes: the delivery method matters16
A novel approach to conducting clinical trials in the community setting: utilizing patient-driven platforms and social media to drive web-based patient recruitment16
COVID-19 impact on mental health16
Contrasting cumulative risk and multiple individual risk models of the relationship between Adverse Childhood Experiences (ACEs) and adult health outcomes16
Multiple imputation with missing indicators as proxies for unmeasured variables: simulation study16
Health and study dropout: health aspects differentially predict attrition16
Questionnaire development for the Lolland-Falster Health Study, Denmark: an iterative and incremental process16
A new infodemiological approach through Google Trends: longitudinal analysis of COVID-19 scientific and infodemic names in Italy16
Patient-centered practices for engaging transgender and gender diverse patients in clinical research studies16
P-values – a chronic conundrum16
Development of an integrative coding framework for evaluating context within implementation science16
Short-term real-time prediction of total number of reported COVID-19 cases and deaths in South Africa: a data driven approach16
On model-based time trend adjustments in platform trials with non-concurrent controls15
The use of experimental vignette studies to identify drivers of variations in the delivery of health care: a scoping review15
Random survival forests for dynamic predictions of a time-to-event outcome using a longitudinal biomarker15
Missing not at random in end of life care studies: multiple imputation and sensitivity analysis on data from the ACTION study15
Why do you need a biostatistician?15
Growth mixture models: a case example of the longitudinal analysis of patient‐reported outcomes data captured by a clinical registry15
Statistical methods for the analysis of adverse event data in randomised controlled trials: a scoping review and taxonomy15
Including ‘seldom heard’ views in research: opportunities, challenges and recommendations from focus groups with British South Asian people with type 2 diabetes15
Comparison of four algorithms on establishing continuous reference intervals for pediatric analytes with age-dependent trend14
Design and implementation of a massive open online course on enhancing the recruitment of minorities in clinical trials – Faster Together14
Recruiting a representative sample of urban South Australian Aboriginal adults for a survey on alcohol consumption14
Minimal important difference and patient acceptable symptom state for pain, Constant-Murley score and Simple Shoulder Test in patients with subacromial pain syndrome14
The application of unsupervised deep learning in predictive models using electronic health records14
Using research networks to generate trustworthy qualitative public health research findings from multiple contexts14
Hospital workers mental health during the COVID-19 pandemic: methods of data collection and characteristics of study sample in a university hospital in Milan (Italy)14
Evaluation of approaches for multiple imputation of three-level data14
Ensemble bootstrap methodology for forecasting dynamic growth processes using differential equations: application to epidemic outbreaks14
What feedback do reviewers give when reviewing qualitative manuscripts? A focused mapping review and synthesis14
COVID-19 prevalence estimation by random sampling in population - optimal sample pooling under varying assumptions about true prevalence14
Predictive P-score for treatment ranking in Bayesian network meta-analysis14
Using linear and natural cubic splines, SITAR, and latent trajectory models to characterise nonlinear longitudinal growth trajectories in cohort studies14
Sample size issues in time series regressions of counts on environmental exposures14
SARFIMA model prediction for infectious diseases: application to hemorrhagic fever with renal syndrome and comparing with SARIMA14
A tutorial on the case time series design for small-area analysis14
Use of research electronic data capture (REDCap) in a COVID-19 randomized controlled trial: a practical example14
A randomized trial of mail and email recruitment strategies for a physician survey on clinical trial accrual14
An assessment of the quality of current clinical meta-analyses13
Methodology in core outcome set (COS) development: the impact of patient interviews and using a 5-point versus a 9-point Delphi rating scale on core outcome selection in a COS development study13
A systematic review of methodology used in the development of prediction models for future asthma exacerbation13
Oversampling and replacement strategies in propensity score matching: a critical review focused on small sample size in clinical settings13
A meta-review demonstrates improved reporting quality of qualitative reviews following the publication of COREQ- and ENTREQ-checklists, regardless of modest uptake13
A review of the use of controlled multiple imputation in randomised controlled trials with missing outcome data13
Variance constraints strongly influenced model performance in growth mixture modeling: a simulation and empirical study13
Survival prediction models: an introduction to discrete-time modeling13
The minimal perceived change: a formal model of the responder definition according to the patient’s meaning of change for patient-reported outcome data analysis and interpretation13
Machine learning in medicine: a practical introduction to techniques for data pre-processing, hyperparameter tuning, and model comparison13
Should samples be weighted to decrease selection bias in online surveys during the COVID-19 pandemic? Data from seven datasets13
The hunt for efficient, incomplete designs for stepped wedge trials with continuous recruitment and continuous outcome measures12
Group testing performance evaluation for SARS-CoV-2 massive scale screening and testing12
Comparing regression modeling strategies for predicting hometime12
Ripple effects mapping: capturing the wider impacts of systems change efforts in public health12
Methods for the inclusion of real-world evidence in network meta-analysis12
Publication and related biases in health services research: a systematic review of empirical evidence12
A scoping review of core outcome sets and their ‘mapping’ onto real-world data using prostate cancer as a case study12
Automating risk of bias assessment in systematic reviews: a real-time mixed methods comparison of human researchers to a machine learning system12
On Jones et al.’s method for extending Bland-Altman plots to limits of agreement with the mean for multiple observers12
Application of the matched nested case-control design to the secondary analysis of trial data12
Does group-based trajectory modeling estimate spurious trajectories?12
Spatial data analysis of malnutrition among children under-five years in Ethiopia12
Comparing multiple statistical software for multiple-indicator, multiple-cause modeling: an application of gender disparity in adult cognitive functioning using MIDUS II dataset11
A scoping review of studies using observational data to optimise dynamic treatment regimens11
Development of A Guideline for Reporting Mediation Analyses (AGReMA)11
Nothing wrong about change: the adequate choice of the dependent variable and design in prediction of cognitive training success11
Development and validation of algorithms to classify type 1 and 2 diabetes according to age at diagnosis using electronic health records11
Comparing current and emerging practice models for the extrapolation of survival data: a simulation study and case-study11
Estimating effects of health policy interventions using interrupted time-series analyses: a simulation study11
Intention-to-treat analysis may be more conservative than per protocol analysis in antibiotic non-inferiority trials: a systematic review11
Assembling and validating a heart failure-free cohort from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study11
Inspection plan for COVID-19 patients for Weibull distribution using repetitive sampling under indeterminacy11
Study retention and attrition in a longitudinal cohort study including patient-reported outcomes, fieldwork and biobank samples: results of the Netherlands quality of life and Biomedical cohort study 11
Identifying the fundamental structures and processes of care contributing to emergency general surgery quality using a mixed-methods Donabedian approach11
Virtual controls as an alternative to randomized controlled trials for assessing efficacy of interventions11
Advancing methodology for scoping reviews: recommendations arising from a scoping literature review (SLR) to inform transformation of Children and Adolescent Mental Health Services11
Characteristics and practices of school-based cluster randomised controlled trials for improving health outcomes in pupils in the United Kingdom: a methodological systematic review11
Bayesian Hodges-Lehmann tests for statistical equivalence in the two-sample setting: Power analysis, type I error rates and equivalence boundary selection in biomedical research11
On estimating the time to statistical cure11
A framework for exploring non-response patterns over time in health surveys10
Alternative adjustment for seasonality and long-term time-trend in time-series analysis for long-term environmental exposures and disease counts10
Instrumental variable estimation for a time-varying treatment and a time-to-event outcome via structural nested cumulative failure time models10
Moving beyond the classic difference-in-differences model: a simulation study comparing statistical methods for estimating effectiveness of state-level policies10
Fast and optimal algorithm for case-control matching using registry data: application on the antibiotics use of colorectal cancer patients10
Evaluation of survival extrapolation in immuno-oncology using multiple pre-planned data cuts: learnings to aid in model selection10
Poor reporting quality of observational clinical studies comparing treatments of COVID-19 – a retrospective cross-sectional study10
A factorial cluster-randomised controlled trial combining home-environmental and early child development interventions to improve child health and development: rationale, trial design and baseline fin10
Integrating trials into a whole-population cohort of children and parents: statement of intent (trials) for the Generation Victoria (GenV) cohort10
Impact of vaccine prioritization strategies on mitigating COVID-19: an agent-based simulation study using an urban region in the United States10
Using random forests to model 90-day hometime in people with stroke10
A methodologic survey on use of the GRADE approach in evidence syntheses published in high-impact factor urology and nephrology journals10
Methodological assessment of systematic reviews of in-vitro dental studies10
Population segmentation of type 2 diabetes mellitus patients and its clinical applications - a scoping review10
Abstract screening using the automated tool Rayyan: results of effectiveness in three diagnostic test accuracy systematic reviews10
Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation10
Developing strategies to improve fidelity of delivery of, and engagement with, a complex intervention to improve independence in dementia: a mixed methods study10
Identifying long-term psychological distress from single measures: evidence from a nationally representative longitudinal survey of the Australian population10
Patient information, communication and competence empowerment in oncology (PIKKO) – evaluation of a supportive care intervention for overall oncological patients. Study protocol of a non-randomized co10
Measuring clinical uncertainty and equipoise by applying the agreement study methodology to patient management decisions10
Consequences of ignoring clustering in linear regression10
The injury severity score: an operations perspective9
Dynamic RMST curves for survival analysis in clinical trials9
Machine learning is an effective method to predict the 90-day prognosis of patients with transient ischemic attack and minor stroke9
The challenges in data integration – heterogeneity and complexity in clinical trials and patient registries of Systemic Lupus Erythematosus9
Development of a clinical tool for rating the body function categories of the ICF generic-30/rehabilitation set in Japanese rehabilitation practice and examination of its interrater reliability9
Chi-square test under indeterminacy: an application using pulse count data9
Interdisciplinary development of a standardized introduction to gene drives for lay audiences9
Use of out-of-hospital cardiac arrest registries to assess COVID-19 home mortality9
Meta-DiSc 2.0: a web application for meta-analysis of diagnostic test accuracy data9
Sources of potential bias when combining routine data linkage and a national survey of secondary school-aged children: a record linkage study9
WHO Trial Registration Data Set (TRDS) extension for traditional Chinese medicine 2020: recommendations, explanation, and elaboration9
Are there non-linear relationships between alcohol consumption and long-term health?: a systematic review of observational studies employing approaches to improve causal inference9
Rapid establishment of a COVID-19 perinatal biorepository: early lessons from the first 100 women enrolled9
Incorporating and addressing testing bias within estimates of epidemic dynamics for SARS-CoV-29
Methods to support evidence-informed decision-making in the midst of COVID-19: creation and evolution of a rapid review service from the National Collaborating Centre for Methods and Tools9
Neutral theory: applicability and neutrality of using generic health-related quality of life tools in diseases or conditions where specific tools are available9
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