ArticleStatistics in medicine2019
Using simulation studies to evaluate statistical methods.
Article in Statistics in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07016282 (Simulated and Synthetic Health Data), which is not on this map. Cited by 575 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Simulated and Synthetic Health Data: Improving Clinical Research on Rare Diseases. A Real-World Data Simulation of Autosomal Dominant Polycystic Kidney Disease (ADPKD) Trials. A Retrospective, Observational Study
Who cites it
575 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Meta-analysis models relaxing the random-effects normality assumption: methodological systematic review and simulation study.BMC medical research methodology · 2025Pooled it
- Natural history of progressive vision loss in Bietti crystalline dystrophy: a model-based meta-analysis.BMJ open ophthalmology · 2025Pooled it
- Variable Selection via Fused Sparse-Group Lasso Penalized Multi-state Models Incorporating Molecular Data.Biometrical journal. Biometrische Zeitschrift · 2025Trial
- Why probiotics fail: gut niche tension as the missing variable?Gut microbes · 2026Review
- A Framework for the Estimation of Quality-Adjusted Life-Years Using Joint Models of Longitudinal and Survival Data.Medical decision making : an international journal of the Society for Medical Decision Making · 2026Article
- Robust Bayesian hierarchical models for basket trials enabling joint evaluation of toxicity and efficacy.Statistical methods in medical research · 2026Article
- Article
- Comparison of the Cox Proportional Hazards Model and Random Survival Forest Algorithm for Predicting Patient-Specific Survival Probabilities in Clinical Trial Data.Biometrical journal. Biometrische Zeitschrift · 2026Article
- Design, simulate, refine: simulation-guided clinical trials for accelerated drug development.Nature reviews. Drug discovery · 2026Review
- Comparison of Methods for Incorporating Related Data When Developing Clinical Prediction Models: A Simulation Study.Biometrical journal. Biometrische Zeitschrift · 2026Article
- Article
- Advancing multilevel Bayesian networks with efficient Bayesian inference.Statistical methods in medical research · 2026Article
- What is estimated in cluster randomized crossover trials with informative sizes? A survey of estimands and common estimators.Statistical methods in medical research · 2026Article
- Combining Observational Studies to Reduce Multiple Biases.Epidemiology (Cambridge, Mass.) · 2026Article
- Constructing an Evidence-Based Validity Rationale for a Multi-component Endpoint in Heterogeneous Populations.Therapeutic innovation & regulatory science · 2026Article
- Validating methods for inferring co-occurring diseases: a flexible framework for simulating synthetic data.BMC medical research methodology · 2026Article
- Sexual Victimization Experiences and Binge Drinking Frequency Among Bisexual+ and Heterosexual Women.Journal of child sexual abuse · 2026Article
- Article
- Evaluating the efficiency of platform trials relative to stand-alone trials: a simulation study for the evaluation of new antibacterials.The Journal of antimicrobial chemotherapy · 2026Article
- A joint model for a longitudinal outcome and a progressive multistate model under a mixed observation scheme.Statistical methods in medical research · 2026Article
515 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Simulation studies are computer experiments that involve creating data by pseudo-random sampling. A key strength of simulation studies is the ability to understand the behavior of statistical methods because some "truth" (usually some parameter/s of interest) is known from the process of generating the data. This allows us to consider properties of methods, such as bias. While widely used, simulation studies are often poorly designed, analyzed, and reported. This tutorial outlines the rationale for using simulation studies and offers guidance for design, execution, analysis, reporting, and presentation. In particular, this tutorial provides a structured approach for planning and reporting simulation studies, which involves defining aims, data-generating mechanisms, estimands, methods, and performance measures ("ADEMP"); coherent terminology for simulation studies; guidance on coding simulation studies; a critical discussion of key performance measures and their estimation; guidance on structuring tabular and graphical presentation of results; and new graphical presentations. With a view to describing recent practice, we review 100 articles taken from Volume 34 of Statistics in Medicine, which included at least one simulation study and identify areas for improvement.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.