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Statistics in Medicine is a peer-reviewed journal published by Wiley, covering Statistical Methods in Clinical Trials, Statistical Methods and Bayesian Inference, Statistical Methods and Inference.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Statistics in Medicine 12 (3): 45–58.
Formats any DOI in Statistics in Medicine style. No sign-up. |
| Publishes research in | Statistical Methods in Clinical Trials Statistical Methods and Bayesian Inference Statistical Methods and Inference Advanced Causal Inference Techniques Health Systems, Economic Evaluations, Quality of Life |
| ISSN | 0277-6715 |
| Citation impact (2-yr) | 1.73 |
| h-index | 307 |
| i10-index | 6,775 |
| Total citations | 682,607 |
| Article processing charge | $4,940 |
| Top institutions publishing here | Harvard University |
| Journal website | onlinelibrary.wiley.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
The extent of heterogeneity in a meta-analysis partly determines the difficulty in drawing overall conclusions. This extent may be measured by estimating a between-study variance, but interpretation is then specific to a particular treatment effect metric. A test for the existence of heterogeneity exists, but depends on the number of studies in the meta-analysis. We…
Multivariable regression models are powerful tools that are used frequently in studies of clinical outcomes. These models can use a mixture of categorical and continuous variables and can handle partially observed (censored) responses. However, uncritical application of modelling techniques can result in models that poorly fit the dataset at hand, or, even more likely, inaccurately…
Multiple imputation by chained equations is a flexible and practical approach to handling missing data. We describe the principles of the method and show how to impute categorical and quantitative variables, including skewed variables. We give guidance on how to specify the imputation model and how many imputations are needed. We describe the practical analysis…
The propensity score is a subject's probability of treatment, conditional on observed baseline covariates. Conditional on the true propensity score, treated and untreated subjects have similar distributions of observed baseline covariates. Propensity-score matching is a popular method of using the propensity score in the medical literature. Using this approach, matched sets of treated and untreated…
Identification of key factors associated with the risk of developing cardiovascular disease and quantification of this risk using multivariable prediction algorithms are among the major advances made in preventive cardiology and cardiovascular epidemiology in the 20th century. The ongoing discovery of new risk markers by scientists presents opportunities and challenges for statisticians and clinicians to…
