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 2020-04-01 to 2024-04-01.)
ArticleCitations
Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions248
Conducting proportional meta-analysis in different types of systematic reviews: a guide for synthesisers of evidence206
COSMIN Risk of Bias tool to assess the quality of studies on reliability or measurement error of outcome measurement instruments: a Delphi study190
IPDfromKM: reconstruct individual patient data from published Kaplan-Meier survival curves187
How are systematic reviews of prevalence conducted? A methodological study142
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 analysis141
Generation and evaluation of synthetic patient data138
Assessing the quality of health research from an Indigenous perspective: the Aboriginal and Torres Strait Islander quality appraisal tool132
Major adverse cardiovascular event definitions used in observational analysis of administrative databases: a systematic review117
Open science saves lives: lessons from the COVID-19 pandemic116
Semantic and cognitive tools to aid statistical science: replace confidence and significance by compatibility and surprise109
COVID-19-related medical research: a meta-research and critical appraisal96
Accuracy of random-forest-based imputation of missing data in the presence of non-normality, non-linearity, and interaction85
Real-world data: a brief review of the methods, applications, challenges and opportunities84
Joint analysis of duration of ventilation, length of intensive care, and mortality of COVID-19 patients: a multistate approach81
Bayesian alternatives to null hypothesis significance testing in biomedical research: a non-technical introduction to Bayesian inference with JASP80
Mediation analysis methods used in observational research: a scoping review and recommendations79
A conceptual framework for prognostic research74
Managing overlap of primary study results across systematic reviews: practical considerations for authors of overviews of reviews70
Improving design choices in Delphi studies in medicine: the case of an exemplary physician multi-round panel study with 100% response64
Protocol registration issues of systematic review and meta-analysis studies: a survey of global researchers64
Coronavirus disease 2019 (COVID-19): an evidence map of medical literature63
Conceptualising natural and quasi experiments in public health60
Impact of the COVID-19 pandemic on publication dynamics and non-COVID-19 research production59
Sample size calculation for prevalence studies using Scalex and ScalaR calculators56
Most published meta-regression analyses based on aggregate data suffer from methodological pitfalls: a meta-epidemiological study56
Methodological challenges of analysing COVID-19 data during the pandemic55
A tutorial on methodological studies: the what, when, how and why54
Going web or staying paper? The use of web-surveys among older people49
A narrative review on the validity of electronic health record-based research in epidemiology48
An evaluation of DistillerSR’s machine learning-based prioritization tool for title/abstract screening – impact on reviewer-relevant outcomes48
Application of machine learning in predicting hospital readmissions: a scoping review of the literature47
Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review46
Ensuring protocol compliance and data transparency in clinical trials using Blockchain smart contracts46
Machine learning in medicine: a practical introduction to natural language processing45
A scoping review of Q-methodology in healthcare research45
Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R45
Analysis of Bayesian posterior significance and effect size indices for the two-sample t-test to support reproducible medical research44
Directed acyclic graphs and causal thinking in clinical risk prediction modeling43
Using a distribution-based approach and systematic review methods to derive minimum clinically important differences42
Research methodology and characteristics of journal articles with original data, preprint articles and registered clinical trial protocols about COVID-1941
Comparison of six statistical methods for interrupted time series studies: empirical evaluation of 190 published series41
Epistemonikos: a comprehensive database of systematic reviews for health decision-making40
An R package for an integrated evaluation of statistical approaches to cancer incidence projection40
Quality assessment tools used in systematic reviews of in vitro studies: A systematic review40
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review39
Estimating age-specific COVID-19 fatality risk and time to death by comparing population diagnosis and death patterns: Australian data39
Re-evaluation of the comparative effectiveness of bootstrap-based optimism correction methods in the development of multivariable clinical prediction models38
How methodological frameworks are being developed: evidence from a scoping review38
Applying an intersectionality lens to the theoretical domains framework: a tool for thinking about how intersecting social identities and structures of power influence behaviour38
Don’t dismiss logistic regression: the case for sensible extraction of interactions in the era of machine learning37
Translation method is validity evidence for construct equivalence: analysis of secondary data routinely collected during translations of the Health Literacy Questionnaire (HLQ)37
Obtaining and managing data sets for individual participant data meta-analysis: scoping review and practical guide36
A comparison of residual diagnosis tools for diagnosing regression models for count data35
A roadmap to using randomization in clinical trials35
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 33
Predictive approaches to heterogeneous treatment effects: a scoping review32
Measuring psychological safety in healthcare teams: developing an observational measure to complement survey methods32
Validity and reliability of State-Trait Anxiety Inventory in Danish women aged 45 years and older with abnormal cervical screening results31
The unintended consequences of COVID-19 mitigation measures matter: practical guidance for investigating them31
Methodological guidance for the evaluation and updating of clinical prediction models: a systematic review31
Development, testing and use of data extraction forms in systematic reviews: a review of methodological guidance31
Survival prediction models since liver transplantation - comparisons between Cox models and machine learning techniques31
Social network analysis methods for exploring SARS-CoV-2 contact tracing data31
Guidance for using artificial intelligence for title and abstract screening while conducting knowledge syntheses30
Methodological tools and sensitivity analysis for assessing quality or risk of bias used in systematic reviews published in the high-impact anesthesiology journals29
Developing a toolkit for increasing the participation of black, Asian and minority ethnic communities in health and social care research29
International severe asthma registry (ISAR): protocol for a global registry29
Laplace approximation, penalized quasi-likelihood, and adaptive Gauss–Hermite quadrature for generalized linear mixed models: towards meta-analysis of binary outcome with sparse data29
Database combinations to retrieve systematic reviews in overviews of reviews: a methodological study29
Using online technologies to improve diversity and inclusion in cognitive interviews with young people28
Evaluating complex interventions in context: systematic, meta-narrative review of case study approaches28
Statistical analysis of two arm randomized pre-post designs with one post-treatment measurement28
A specific method for qualitative medical research: the IPSE (Inductive Process to analyze the Structure of lived Experience) approach28
TIDieR-telehealth: precision in reporting of telehealth interventions used in clinical trials - unique considerations for the Template for the Intervention Description and Replication (TIDieR) checkli27
The semi-automation of title and abstract screening: a retrospective exploration of ways to leverage Abstrackr’s relevance predictions in systematic and rapid reviews27
Evaluation of statistical methods used in the analysis of interrupted time series studies: a simulation study27
A four-step strategy for handling missing outcome data in randomised trials affected by a pandemic27
A comparative study on deep learning models for text classification of unstructured medical notes with various levels of class imbalance27
Using multiple agreement methods for continuous repeated measures data: a tutorial for practitioners27
Using Trial Sequential Analysis for estimating the sample sizes of further trials: example using smoking cessation intervention26
How are missing data in covariates handled in observational time-to-event studies in oncology? A systematic review25
Health and study dropout: health aspects differentially predict attrition25
Which test for crossing survival curves? A user’s guideline24
Instruments to measure fear of COVID-19: a diagnostic systematic review24
Inverse probability weighting to handle attrition in cohort studies: some guidance and a call for caution24
A review of the use of propensity score diagnostics in papers published in high-ranking medical journals24
Comparison of methods for handling covariate missingness in propensity score estimation with a binary exposure24
Generative adversarial networks for imputing missing data for big data clinical research23
Analysis of COVID-19 data using neutrosophic Kruskal Wallis H test23
Compbdt: an R program to compare two binary diagnostic tests subject to a paired design23
Use of machine learning techniques to identify HIV predictors for screening in sub-Saharan Africa23
Need of care in interpreting Google Trends-based COVID-19 infodemiological study results: potential risk of false-positivity23
Bayesian joint modelling of longitudinal and time to event data: a methodological review23
Standardizing registry data to the OMOP Common Data Model: experience from three pulmonary hypertension databases23
Establishment of a pediatric COVID-19 biorepository: unique considerations and opportunities for studying the impact of the COVID-19 pandemic on children22
Making implementation science more real22
Comparative analysis of explainable machine learning prediction models for hospital mortality22
Inferencing superspreading potential using zero-truncated negative binomial model: exemplification with COVID-1922
Assessing the hospital volume-outcome relationship in surgery: a scoping review22
Including non-concurrent control patients in the analysis of platform trials: is it worth it?22
Response rate of patient reported outcomes: the delivery method matters21
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 21
Using linear and natural cubic splines, SITAR, and latent trajectory models to characterise nonlinear longitudinal growth trajectories in cohort studies21
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 Philade21
Strengthening methods for tracking adaptations and modifications to implementation strategies21
Random survival forests for dynamic predictions of a time-to-event outcome using a longitudinal biomarker21
Fuzzy cognitive mapping and soft models of indigenous knowledge on maternal health in Guerrero, Mexico20
A tutorial on the case time series design for small-area analysis20
Improving the use of focus group discussions in low income settings20
Noncollapsibility and its role in quantifying confounding bias in logistic regression20
Does group-based trajectory modeling estimate spurious trajectories?20
Immortal time bias for life-long conditions in retrospective observational studies using electronic health records20
LASSO type penalized spline regression for binary data19
COVID-19 impact on mental health19
COVID19-world: a shiny application to perform comprehensive country-specific data visualization for SARS-CoV-2 epidemic19
Strategies for assessing the impact of loss to follow-up on estimates of neurodevelopmental impairment in a very preterm cohort at 2 years of age19
Patient-centered practices for engaging transgender and gender diverse patients in clinical research studies19
Primary outcome reporting in adolescent depression clinical trials needs standardization19
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 mo19
The use of experimental vignette studies to identify drivers of variations in the delivery of health care: a scoping review18
Do we need to adjust for interim analyses in a Bayesian adaptive trial design?18
Machine learning techniques for mortality prediction in critical traumatic patients: anatomic and physiologic variables from the RETRAUCI study18
P-values – a chronic conundrum18
Development of an integrative coding framework for evaluating context within implementation science18
Contrasting cumulative risk and multiple individual risk models of the relationship between Adverse Childhood Experiences (ACEs) and adult health outcomes18
Meta-DiSc 2.0: a web application for meta-analysis of diagnostic test accuracy data18
Assessing repeatability and reproducibility of Anterior Active Rhinomanometry (AAR) in children18
Should samples be weighted to decrease selection bias in online surveys during the COVID-19 pandemic? Data from seven datasets18
Similarities, reliability and gaps in assessing the quality of conduct of systematic reviews using AMSTAR-2 and ROBIS: systematic survey of nutrition reviews17
Missing not at random in end of life care studies: multiple imputation and sensitivity analysis on data from the ACTION study17
Abstract screening using the automated tool Rayyan: results of effectiveness in three diagnostic test accuracy systematic reviews17
Informing the research agenda for optimizing audit and feedback interventions: results of a prioritization exercise17
Multiple imputation with missing indicators as proxies for unmeasured variables: simulation study17
Statistical methods for the analysis of adverse event data in randomised controlled trials: a scoping review and taxonomy17
Qualitative longitudinal research in health research: a method study17
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 interpretation17
On model-based time trend adjustments in platform trials with non-concurrent controls17
SARFIMA model prediction for infectious diseases: application to hemorrhagic fever with renal syndrome and comparing with SARIMA16
What feedback do reviewers give when reviewing qualitative manuscripts? A focused mapping review and synthesis16
Automating risk of bias assessment in systematic reviews: a real-time mixed methods comparison of human researchers to a machine learning system16
A new infodemiological approach through Google Trends: longitudinal analysis of COVID-19 scientific and infodemic names in Italy16
A review of the use of controlled multiple imputation in randomised controlled trials with missing outcome data16
Ensemble bootstrap methodology for forecasting dynamic growth processes using differential equations: application to epidemic outbreaks16
Survival prediction models: an introduction to discrete-time modeling16
Including ‘seldom heard’ views in research: opportunities, challenges and recommendations from focus groups with British South Asian people with type 2 diabetes16
Machine learning in medicine: a practical introduction to techniques for data pre-processing, hyperparameter tuning, and model comparison16
Minimal important difference and patient acceptable symptom state for pain, Constant-Murley score and Simple Shoulder Test in patients with subacromial pain syndrome16
Short-term real-time prediction of total number of reported COVID-19 cases and deaths in South Africa: a data driven approach16
A randomized trial of mail and email recruitment strategies for a physician survey on clinical trial accrual16
Recruiting a representative sample of urban South Australian Aboriginal adults for a survey on alcohol consumption15
A meta-review demonstrates improved reporting quality of qualitative reviews following the publication of COREQ- and ENTREQ-checklists, regardless of modest uptake15
Spatial data analysis of malnutrition among children under-five years in Ethiopia15
Oversampling and replacement strategies in propensity score matching: a critical review focused on small sample size in clinical settings15
COVID-19 prevalence estimation by random sampling in population - optimal sample pooling under varying assumptions about true prevalence15
Ripple effects mapping: capturing the wider impacts of systems change efforts in public health15
The injury severity score: an operations perspective15
Predictive P-score for treatment ranking in Bayesian network meta-analysis15
Growth mixture models: a case example of the longitudinal analysis of patient‐reported outcomes data captured by a clinical registry15
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
Use of research electronic data capture (REDCap) in a COVID-19 randomized controlled trial: a practical example14
Comparison of four algorithms on establishing continuous reference intervals for pediatric analytes with age-dependent trend14
Intention-to-treat analysis may be more conservative than per protocol analysis in antibiotic non-inferiority trials: a systematic review14
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 Canada14
Design and implementation of a massive open online course on enhancing the recruitment of minorities in clinical trials – Faster Together14
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 Tools14
Evaluation of approaches for multiple imputation of three-level data14
Estimating effects of health policy interventions using interrupted time-series analyses: a simulation study13
Application of the matched nested case-control design to the secondary analysis of trial data13
Comparing multiple statistical software for multiple-indicator, multiple-cause modeling: an application of gender disparity in adult cognitive functioning using MIDUS II dataset13
An assessment of the quality of current clinical meta-analyses13
Virtual controls as an alternative to randomized controlled trials for assessing efficacy of interventions13
Methods for the inclusion of real-world evidence in network meta-analysis13
Variance constraints strongly influenced model performance in growth mixture modeling: a simulation and empirical study13
Identifying the fundamental structures and processes of care contributing to emergency general surgery quality using a mixed-methods Donabedian approach13
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
Impact of vaccine prioritization strategies on mitigating COVID-19: an agent-based simulation study using an urban region in the United States13
Publication and related biases in health services research: a systematic review of empirical evidence13
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
Measuring clinical uncertainty and equipoise by applying the agreement study methodology to patient management decisions13
On Jones et al.’s method for extending Bland-Altman plots to limits of agreement with the mean for multiple observers12
A scoping review of studies using observational data to optimise dynamic treatment regimens12
Using random forests to model 90-day hometime in people with stroke12
Nothing wrong about change: the adequate choice of the dependent variable and design in prediction of cognitive training success12
Comparing current and emerging practice models for the extrapolation of survival data: a simulation study and case-study12
Population segmentation of type 2 diabetes mellitus patients and its clinical applications - a scoping review12
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
Characteristics and practices of school-based cluster randomised controlled trials for improving health outcomes in pupils in the United Kingdom: a methodological systematic review12
Bayesian Hodges-Lehmann tests for statistical equivalence in the two-sample setting: Power analysis, type I error rates and equivalence boundary selection in biomedical research12
Fast and optimal algorithm for case-control matching using registry data: application on the antibiotics use of colorectal cancer patients12
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
Machine learning approach for the prediction of 30-day mortality in patients with sepsis-associated encephalopathy12
Instrumental variable estimation for a time-varying treatment and a time-to-event outcome via structural nested cumulative failure time models12
Machine learning computational tools to assist the performance of systematic reviews: A mapping review12
Comparing regression modeling strategies for predicting hometime12
Methodological assessment of systematic reviews of in-vitro dental studies11
Poor reporting quality of observational clinical studies comparing treatments of COVID-19 – a retrospective cross-sectional study11
Integrating trials into a whole-population cohort of children and parents: statement of intent (trials) for the Generation Victoria (GenV) cohort11
Developing strategies to improve fidelity of delivery of, and engagement with, a complex intervention to improve independence in dementia: a mixed methods study11
Recruiting general practitioners and patients with dementia into a cluster randomised controlled trial: strategies, barriers and facilitators11
Inspection plan for COVID-19 patients for Weibull distribution using repetitive sampling under indeterminacy11
Machine learning is an effective method to predict the 90-day prognosis of patients with transient ischemic attack and minor stroke11
Alternative adjustment for seasonality and long-term time-trend in time-series analysis for long-term environmental exposures and disease counts11
Advancing methodology for scoping reviews: recommendations arising from a scoping literature review (SLR) to inform transformation of Children and Adolescent Mental Health Services11
Item response theory and differential test functioning analysis of the HBSC-Symptom-Checklist across 46 countries11
Evaluation of survival extrapolation in immuno-oncology using multiple pre-planned data cuts: learnings to aid in model selection11
Consequences of ignoring clustering in linear regression11
A framework for exploring non-response patterns over time in health surveys11
Are there non-linear relationships between alcohol consumption and long-term health?: a systematic review of observational studies employing approaches to improve causal inference11
Estimating the natural indirect effect and the mediation proportion via the product method11
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 co11
Current methods for development of rapid reviews about diagnostic tests: an international survey10
Factors affecting adolescents’ participation in randomized controlled trials evaluating the effectiveness of healthcare interventions: the case of the STEPSTONES project10
WHO Trial Registration Data Set (TRDS) extension for traditional Chinese medicine 2020: recommendations, explanation, and elaboration10
Low methodological quality of systematic reviews on acupuncture: a cross-sectional study10
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
Identifying Potential Factors Associated with High HIV viral load in KwaZulu-Natal, South Africa using Multiple Correspondence Analysis and Random Forest Analysis10
Dynamic RMST curves for survival analysis in clinical trials10
Sources of potential bias when combining routine data linkage and a national survey of secondary school-aged children: a record linkage study10
Methodological approaches to imputing early-pregnancy weight based on weight measures collected during pregnancy10
Confirmatory factor analysis of the Evidence-Based Practice Attitude Scale (EBPAS) in a large and representative Swedish sample: is the use of the total scale and subscale scores justified?10
A methodologic survey on use of the GRADE approach in evidence syntheses published in high-impact factor urology and nephrology journals10
Predicting postoperative surgical site infection with administrative data: a random forests algorithm10
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
Differences between experimental and placebo arms in manual therapy trials: a methodological review10
Symptom clusters among cancer survivors: what can machine learning techniques tell us?10
Moving beyond the classic difference-in-differences model: a simulation study comparing statistical methods for estimating effectiveness of state-level policies10
Incorporating and addressing testing bias within estimates of epidemic dynamics for SARS-CoV-210
Database selection and data gathering methods in systematic reviews of qualitative research regarding diabetes mellitus - an explorative study9
Rapid establishment of a COVID-19 perinatal biorepository: early lessons from the first 100 women enrolled9
Investigator initiated trials versus industry sponsored trials - translation of randomized controlled trials into clinical practice (IMPACT)9
Ordinal logistic regression model describing factors associated with extent of nodal involvement in oral cancer patients and its prospective validation9
Forecasting COVID-19 cases using time series modeling and association rule mining9
Use of out-of-hospital cardiac arrest registries to assess COVID-19 home mortality9
Ordinal outcome analysis improves the detection of between-hospital differences in outcome9
Performance of unanchored matching-adjusted indirect comparison (MAIC) for the evidence synthesis of single-arm trials with time-to-event outcomes9
The effect of disease co-occurrence measurement on multimorbidity networks: a population-based study9
Predicting COVID-19 mortality risk in Toronto, Canada: a comparison of tree-based and regression-based machine learning methods9
Chi-square test under indeterminacy: an application using pulse count data9
No one accelerometer-based physical activity data collection protocol can fit all research questions9
Neutral theory: applicability and neutrality of using generic health-related quality of life tools in diseases or conditions where specific tools are available9
Comparative diagnostic accuracy studies with an imperfect reference standard – a comparison of correction methods9
The challenges in data integration – heterogeneity and complexity in clinical trials and patient registries of Systemic Lupus Erythematosus9
The influence of social media on recruitment to surgical trials9
Simple Excel and ICD-10 based dataset calculator for the Charlson and Elixhauser comorbidity indices9
Interdisciplinary development of a standardized introduction to gene drives for lay audiences9
Methodological aspects for accelerometer-based assessment of physical activity in heart failure and health9
Practicalities in running early-phase trials using the time-to-event continual reassessment method (TiTE-CRM) for interventions with long toxicity periods using two radiotherapy oncology trials as exa9
Advancing data science in drug development through an innovative computational framework for data sharing and statistical analysis9
0.055981874465942