BMC Medical Research Methodology

Papers
(The median citation count of BMC Medical Research Methodology is 2. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions313
Conducting proportional meta-analysis in different types of systematic reviews: a guide for synthesisers of evidence283
IPDfromKM: reconstruct individual patient data from published Kaplan-Meier survival curves266
COSMIN Risk of Bias tool to assess the quality of studies on reliability or measurement error of outcome measurement instruments: a Delphi study254
Major adverse cardiovascular event definitions used in observational analysis of administrative databases: a systematic review170
Real-world data: a brief review of the methods, applications, challenges and opportunities134
Open science saves lives: lessons from the COVID-19 pandemic129
Mediation analysis methods used in observational research: a scoping review and recommendations121
COVID-19-related medical research: a meta-research and critical appraisal111
Sample size calculation for prevalence studies using Scalex and ScalaR calculators92
Managing overlap of primary study results across systematic reviews: practical considerations for authors of overviews of reviews88
Impact of the COVID-19 pandemic on publication dynamics and non-COVID-19 research production80
Most published meta-regression analyses based on aggregate data suffer from methodological pitfalls: a meta-epidemiological study75
Conceptualising natural and quasi experiments in public health68
Machine learning in medicine: a practical introduction to natural language processing68
A narrative review on the validity of electronic health record-based research in epidemiology65
Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review60
Using a distribution-based approach and systematic review methods to derive minimum clinically important differences59
Application of machine learning in predicting hospital readmissions: a scoping review of the literature58
Methodological guidance for the evaluation and updating of clinical prediction models: a systematic review57
Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R57
A scoping review of Q-methodology in healthcare research56
Comparison of six statistical methods for interrupted time series studies: empirical evaluation of 190 published series54
Quality assessment tools used in systematic reviews of in vitro studies: A systematic review53
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review48
Epistemonikos: a comprehensive database of systematic reviews for health decision-making46
A roadmap to using randomization in clinical trials45
Developing a toolkit for increasing the participation of black, Asian and minority ethnic communities in health and social care research45
Estimating age-specific COVID-19 fatality risk and time to death by comparing population diagnosis and death patterns: Australian data41
TIDieR-telehealth: precision in reporting of telehealth interventions used in clinical trials - unique considerations for the Template for the Intervention Description and Replication (TIDieR) checkli39
Re-evaluation of the comparative effectiveness of bootstrap-based optimism correction methods in the development of multivariable clinical prediction models39
A comparative study on deep learning models for text classification of unstructured medical notes with various levels of class imbalance38
Guidance for using artificial intelligence for title and abstract screening while conducting knowledge syntheses38
The unintended consequences of COVID-19 mitigation measures matter: practical guidance for investigating them37
Survival prediction models since liver transplantation - comparisons between Cox models and machine learning techniques37
Standardizing registry data to the OMOP Common Data Model: experience from three pulmonary hypertension databases36
Qualitative longitudinal research in health research: a method study35
Evaluating complex interventions in context: systematic, meta-narrative review of case study approaches35
Evaluation of statistical methods used in the analysis of interrupted time series studies: a simulation study34
Abstract screening using the automated tool Rayyan: results of effectiveness in three diagnostic test accuracy systematic reviews33
Assessing the hospital volume-outcome relationship in surgery: a scoping review33
Meta-DiSc 2.0: a web application for meta-analysis of diagnostic test accuracy data33
Use of machine learning techniques to identify HIV predictors for screening in sub-Saharan Africa32
Health and study dropout: health aspects differentially predict attrition32
Random survival forests for dynamic predictions of a time-to-event outcome using a longitudinal biomarker31
Generative adversarial networks for imputing missing data for big data clinical research31
Statistical analysis of two arm randomized pre-post designs with one post-treatment measurement31
Inverse probability weighting to handle attrition in cohort studies: some guidance and a call for caution30
Using Trial Sequential Analysis for estimating the sample sizes of further trials: example using smoking cessation intervention29
A tutorial on the case time series design for small-area analysis29
Comparative analysis of explainable machine learning prediction models for hospital mortality29
Analysis of COVID-19 data using neutrosophic Kruskal Wallis H test29
Which test for crossing survival curves? A user’s guideline28
The use of experimental vignette studies to identify drivers of variations in the delivery of health care: a scoping review28
Does group-based trajectory modeling estimate spurious trajectories?28
Inferencing superspreading potential using zero-truncated negative binomial model: exemplification with COVID-1927
Using linear and natural cubic splines, SITAR, and latent trajectory models to characterise nonlinear longitudinal growth trajectories in cohort studies27
Need of care in interpreting Google Trends-based COVID-19 infodemiological study results: potential risk of false-positivity26
Response rate of patient reported outcomes: the delivery method matters25
Making implementation science more real25
Instruments to measure fear of COVID-19: a diagnostic systematic review25
Strengthening methods for tracking adaptations and modifications to implementation strategies25
Noncollapsibility and its role in quantifying confounding bias in logistic regression25
Similarities, reliability and gaps in assessing the quality of conduct of systematic reviews using AMSTAR-2 and ROBIS: systematic survey of nutrition reviews24
Ripple effects mapping: capturing the wider impacts of systems change efforts in public health24
Automating risk of bias assessment in systematic reviews: a real-time mixed methods comparison of human researchers to a machine learning system24
Survival prediction models: an introduction to discrete-time modeling23
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 mo23
Strategies for assessing the impact of loss to follow-up on estimates of neurodevelopmental impairment in a very preterm cohort at 2 years of age23
On model-based time trend adjustments in platform trials with non-concurrent controls22
Minimal important difference and patient acceptable symptom state for pain, Constant-Murley score and Simple Shoulder Test in patients with subacromial pain syndrome22
CHARMS and PROBAST at your fingertips: a template for data extraction and risk of bias assessment in systematic reviews of predictive models22
LASSO type penalized spline regression for binary data22
Should samples be weighted to decrease selection bias in online surveys during the COVID-19 pandemic? Data from seven datasets22
Immortal time bias for life-long conditions in retrospective observational studies using electronic health records22
Machine learning in medicine: a practical introduction to techniques for data pre-processing, hyperparameter tuning, and model comparison22
Machine learning computational tools to assist the performance of systematic reviews: A mapping review22
Improving the use of focus group discussions in low income settings21
Use of research electronic data capture (REDCap) in a COVID-19 randomized controlled trial: a practical example21
Missing not at random in end of life care studies: multiple imputation and sensitivity analysis on data from the ACTION study21
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 Tools21
Patient-centered practices for engaging transgender and gender diverse patients in clinical research studies20
Interrater reliability estimators tested against true interrater reliabilities20
Oversampling and replacement strategies in propensity score matching: a critical review focused on small sample size in clinical settings20
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 interpretation19
Predictive P-score for treatment ranking in Bayesian network meta-analysis19
A new infodemiological approach through Google Trends: longitudinal analysis of COVID-19 scientific and infodemic names in Italy19
Statistical methods for the analysis of adverse event data in randomised controlled trials: a scoping review and taxonomy19
A meta-review demonstrates improved reporting quality of qualitative reviews following the publication of COREQ- and ENTREQ-checklists, regardless of modest uptake19
COVID-19 impact on mental health19
Informing the research agenda for optimizing audit and feedback interventions: results of a prioritization exercise19
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 study18
Ensemble bootstrap methodology for forecasting dynamic growth processes using differential equations: application to epidemic outbreaks18
The impact of lookback windows on the prevalence and incidence of chronic diseases among people living with HIV: an exploration in administrative health data in Canada18
Machine learning approach for the prediction of 30-day mortality in patients with sepsis-associated encephalopathy18
Item response theory and differential test functioning analysis of the HBSC-Symptom-Checklist across 46 countries18
The injury severity score: an operations perspective18
A review of the use of controlled multiple imputation in randomised controlled trials with missing outcome data18
Growth mixture models: a case example of the longitudinal analysis of patient‐reported outcomes data captured by a clinical registry18
Short-term real-time prediction of total number of reported COVID-19 cases and deaths in South Africa: a data driven approach17
Spatial data analysis of malnutrition among children under-five years in Ethiopia17
Consequences of ignoring clustering in linear regression17
Fast and optimal algorithm for case-control matching using registry data: application on the antibiotics use of colorectal cancer patients17
Intention-to-treat analysis may be more conservative than per protocol analysis in antibiotic non-inferiority trials: a systematic review17
Comparing multiple statistical software for multiple-indicator, multiple-cause modeling: an application of gender disparity in adult cognitive functioning using MIDUS II dataset17
On Jones et al.’s method for extending Bland-Altman plots to limits of agreement with the mean for multiple observers16
Nothing wrong about change: the adequate choice of the dependent variable and design in prediction of cognitive training success16
Estimating effects of health policy interventions using interrupted time-series analyses: a simulation study16
Design and implementation of a massive open online course on enhancing the recruitment of minorities in clinical trials – Faster Together16
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)16
A scoping review of studies using observational data to optimise dynamic treatment regimens16
Methods for the inclusion of real-world evidence in network meta-analysis16
Impact of vaccine prioritization strategies on mitigating COVID-19: an agent-based simulation study using an urban region in the United States15
Predicting postoperative surgical site infection with administrative data: a random forests algorithm15
A framework to model global, regional, and national estimates of intimate partner violence15
Moving beyond the classic difference-in-differences model: a simulation study comparing statistical methods for estimating effectiveness of state-level policies15
Simple Excel and ICD-10 based dataset calculator for the Charlson and Elixhauser comorbidity indices15
Dementia risk prediction in individuals with mild cognitive impairment: a comparison of Cox regression and machine learning models15
Virtual controls as an alternative to randomized controlled trials for assessing efficacy of interventions15
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 Classifi15
Estimating restricted mean survival time and expected life-years lost in the presence of competing risks within flexible parametric survival models15
A framework for exploring non-response patterns over time in health surveys14
Variance constraints strongly influenced model performance in growth mixture modeling: a simulation and empirical study14
Comparing regression modeling strategies for predicting hometime14
Characteristics and patient-reported outcomes associated with dropout in severely affected oncological patients: an exploratory study14
Machine learning is an effective method to predict the 90-day prognosis of patients with transient ischemic attack and minor stroke14
Characteristics and practices of school-based cluster randomised controlled trials for improving health outcomes in pupils in the United Kingdom: a methodological systematic review14
Forecasting COVID-19 cases using time series modeling and association rule mining14
To tune or not to tune, a case study of ridge logistic regression in small or sparse datasets14
Estimating the natural indirect effect and the mediation proportion via the product method14
Bayesian Hodges-Lehmann tests for statistical equivalence in the two-sample setting: Power analysis, type I error rates and equivalence boundary selection in biomedical research14
Poor reporting quality of observational clinical studies comparing treatments of COVID-19 – a retrospective cross-sectional study13
Symptom clusters among cancer survivors: what can machine learning techniques tell us?13
Chi-square test under indeterminacy: an application using pulse count data13
A comparison of statistical methods for modeling count data with an application to hospital length of stay13
The hunt for efficient, incomplete designs for stepped wedge trials with continuous recruitment and continuous outcome measures13
Recruiting general practitioners and patients with dementia into a cluster randomised controlled trial: strategies, barriers and facilitators13
Incorporating and addressing testing bias within estimates of epidemic dynamics for SARS-CoV-213
Hospital mortality prediction in traumatic injuries patients: comparing different SMOTE-based machine learning algorithms13
Using random forests to model 90-day hometime in people with stroke13
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 13
Population segmentation of type 2 diabetes mellitus patients and its clinical applications - a scoping review12
A method for generating synthetic longitudinal health data12
Are there non-linear relationships between alcohol consumption and long-term health?: a systematic review of observational studies employing approaches to improve causal inference12
Database selection and data gathering methods in systematic reviews of qualitative research regarding diabetes mellitus - an explorative study12
Selecting implementation models, theories, and frameworks in which to integrate intersectional approaches12
Restrictions and their reporting in systematic reviews of effectiveness: an observational study12
KMSubtraction: reconstruction of unreported subgroup survival data utilizing published Kaplan-Meier survival curves12
Deep generative models in DataSHIELD12
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 validation12
Low methodological quality of systematic reviews on acupuncture: a cross-sectional study12
Applied comparison of large‐scale propensity score matching and cardinality matching for causal inference in observational research12
Inspection plan for COVID-19 patients for Weibull distribution using repetitive sampling under indeterminacy12
Methodological assessment of systematic reviews of in-vitro dental studies12
Combining the theory of change and realist evaluation approaches to elicit an initial program theory of the MomConnect program in South Africa12
Differences between experimental and placebo arms in manual therapy trials: a methodological review12
Recruitment and retention into longitudinal health research from an adolescent perspective: a qualitative study12
Alternative adjustment for seasonality and long-term time-trend in time-series analysis for long-term environmental exposures and disease counts12
Instrumental variable estimation for a time-varying treatment and a time-to-event outcome via structural nested cumulative failure time models12
Comparing current and emerging practice models for the extrapolation of survival data: a simulation study and case-study12
Multi-dimensional vulnerability analysis on catastrophic health expenditure among middle-aged and older adults with chronic diseases in China11
Delays in reporting and publishing trial results during pandemics: cross sectional analysis of 2009 H1N1, 2014 Ebola, and 2016 Zika clinical trials11
Development and pilot implementation of guidelines for culturally tailored research recruitment materials for African Americans and Latinos11
Use and misuse of random forest variable importance metrics in medicine: demonstrations through incident stroke prediction11
Neutral theory: applicability and neutrality of using generic health-related quality of life tools in diseases or conditions where specific tools are available11
Detecting accelerometer non-wear periods using change in acceleration combined with rate-of-change in temperature11
When does the use of individual patient data in network meta-analysis make a difference? A simulation study11
Identifying Potential Factors Associated with High HIV viral load in KwaZulu-Natal, South Africa using Multiple Correspondence Analysis and Random Forest Analysis11
Investigator initiated trials versus industry sponsored trials - translation of randomized controlled trials into clinical practice (IMPACT)11
Methodological aspects for accelerometer-based assessment of physical activity in heart failure and health11
The reporting and handling of missing data in longitudinal studies of older adults is suboptimal: a methodological survey of geriatric journals11
Creating efficiencies in the extraction of data from randomized trials: a prospective evaluation of a machine learning and text mining tool11
The effect of disease co-occurrence measurement on multimorbidity networks: a population-based study11
Comparative diagnostic accuracy studies with an imperfect reference standard – a comparison of correction methods11
External validation of existing dementia prediction models on observational health data11
Recruitment and retention of participants from socioeconomically deprived communities: lessons from the Awareness and Beliefs About Cancer (ABACus3) Randomised Controlled Trial11
Minimal important difference and patient acceptable symptom state for the Numerical Rating Scale (NRS) for pain and the Patient-Rated Wrist/Hand Evaluation (PRWHE) for patients with osteoarthritis at 11
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 reliability10
Transformation of Rasch model logits for enhanced interpretability10
Prediction of acute appendicitis among patients with undifferentiated abdominal pain at emergency department10
The effect of high prevalence of missing data on estimation of the coefficients of a logistic regression model when using multiple imputation10
Advancing data science in drug development through an innovative computational framework for data sharing and statistical analysis10
Methodological approaches to imputing early-pregnancy weight based on weight measures collected during pregnancy10
Using a cohort study of diabetes and peripheral artery disease to compare logistic regression and machine learning via random forest modeling10
Rescaling pain intensity measures for meta-analyses of analgesic medicines for low back pain appears justified: an empirical examination from randomised trials10
The Mann-Kendall-Sneyers test to identify the change points of COVID-19 time series in the United States10
Incorporating single-arm studies in meta-analysis of randomised controlled trials: a simulation study10
How can clinicians choose between conflicting and discordant systematic reviews? A replication study of the Jadad algorithm10
Shifting research culture to address the mismatch between where trials recruit and where populations with the most disease live: a qualitative study10
Informed Bayesian survival analysis10
International representation of authors, editors and research in neurology journals10
Seek COVER: using a disease proxy to rapidly develop and validate a personalized risk calculator for COVID-19 outcomes in an international network10
Validation of Oura ring energy expenditure and steps in laboratory and free-living10
A methodologic survey on use of the GRADE approach in evidence syntheses published in high-impact factor urology and nephrology journals10
Application of machine learning in predicting survival outcomes involving real-world data: a scoping review10
Predicting COVID-19 mortality risk in Toronto, Canada: a comparison of tree-based and regression-based machine learning methods10
Interdisciplinary development of a standardized introduction to gene drives for lay audiences10
Estimating causal effects in the presence of competing events using regression standardisation with the Stata command standsurv10
A bayesian approach to model the underlying predictors of early recurrence and postoperative death in patients with colorectal Cancer10
Big data ordination towards intensive care event count cases using fast computing GLLVMS9
Comparing g-computation, propensity score-based weighting, and targeted maximum likelihood estimation for analyzing externally controlled trials with both measured and unmeasured confounders: a simula9
Flexible modelling of risk factors on the incidence of pneumonia in young children in South Africa using piece-wise exponential additive mixed modelling9
Reporting of methods to prepare, pilot and perform data extraction in systematic reviews: analysis of a sample of 152 Cochrane and non-Cochrane reviews9
Meta-analysis using Python: a hands-on tutorial9
Satisfaction and experience with colorectal cancer screening: a systematic review of validated patient reported outcome measures9
Design and analysis of outcomes following SARS-CoV-2 infection in veterans9
Statistical model building: Background “knowledge” based on inappropriate preselection causes misspecification9
Registration and primary outcome reporting in behavioral health trials9
A descriptive study of samples sizes used in agreement studies published in the PubMed repository9
A systematic review and psychometric evaluation of resilience measurement scales for people living with dementia and their carers9
Inference following multiple imputation for generalized additive models: an investigation of the median p-value rule with applications to the Pulmonary Hypertension Association Registry and Colorado C9
Ordinal outcome analysis improves the detection of between-hospital differences in outcome9
Clinical research activities during COVID-19: the point of view of a promoter of academic clinical trials9
Development and validation of a risk index to predict kidney graft survival: the kidney transplant risk index9
Increase in power by obtaining 10 or more controls per case when type-1 error is small in large-scale association studies9
Synthesis of evidence on the use of ecological momentary assessments to monitor health outcomes after traumatic injury: rapid systematic review9
On clinical trial fragility due to patients lost to follow up9
Psychometric properties of an English short version of the Trier Inventory for chronic Stress9
Modular literature review: a novel systematic search and review method to support priority setting in health policy and practice9
Use of out-of-hospital cardiac arrest registries to assess COVID-19 home mortality9
A simple pooling method for variable selection in multiply imputed datasets outperformed complex methods8
Statistical methods for exploring spontaneous adverse event reporting databases for drug-host factor interactions8
Intra-database validation of case-identifying algorithms using reconstituted electronic health records from healthcare claims data8
Evaluation of data imputation strategies in complex, deeply-phenotyped data sets: the case of the EU-AIMS Longitudinal European Autism Project8
Generating high-fidelity synthetic time-to-event datasets to improve data transparency and accessibility8
Estimation and inference for the mediation effect in a time-varying mediation model8
Phase I dose-escalation oncology trials with sequential multiple schedules8
Using web conferencing to engage Aboriginal and Torres Strait Islander young people in research: a feasibility study8
Analysis of clinical and methodological characteristics of early COVID-19 treatment clinical trials: so much work, so many lost opportunities8
Sample size requirements are not being considered in studies developing prediction models for binary outcomes: a systematic review8
Assessing transferability in systematic reviews of health economic evaluations – a review of methodological guidance8
A risk assessment tool for resumption of research activities during the COVID-19 pandemic for field trials in low resource settings8
GoodReports: developing a website to help health researchers find and use reporting guidelines8
Evaluating the performance of propensity score matching based approaches in individual patient data meta-analysis8
Development of the global inflammatory bowel disease visualization of epidemiology studies in the 21st century (GIVES-21)8
Adopting AMSTAR 2 critical appraisal tool for systematic reviews: speed of the tool uptake and barriers for its adoption8
Recruitment principles and strategies for supportive care research in pediatric oncology8
Methodology of the DCCSS later fatigue study: a model to investigate chronic fatigue in long-term survivors of childhood cancer8
Outbreaks of publications about emerging infectious diseases: the case of SARS-CoV-2 and Zika virus8
A multi-country comparison of stochastic models of breast cancer mortality with P-splines smoothing approach8
User experience of applying AMSTAR 2 to appraise systematic reviews of healthcare interventions: a commentary8
Utilizing machine learning dimensionality reduction for risk stratification of chest pain patients in the emergency department8
Methodological approaches to study context in intervention implementation studies: an evidence gap map8
Spontaneously generated online patient experience data - how and why is it being used in health research: an umbrella scoping review8
ELaPro, a LOINC-mapped core dataset for top laboratory procedures of eligibility screening for clinical trials8
Overlapping-sample Mendelian randomisation with multiple exposures: a Bayesian approach8
Crowdsourcing citation-screening in a mixed-studies systematic review: a feasibility study8
Classification of PR-positive and PR-negative subtypes in ER-positive and HER2-negative breast cancers based on pathway scores7
Clinical systematic reviews – a brief overview7
The INSPIRE Population Survey: development, dissemination and respondent characteristics7
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