Standardization for Subgroup Analysis in Randomized Controlled Trials
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2014/01/02
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Indian UGC (journal)
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Refrences6
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Citations18
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Ravi Varadhan a Center on Aging and Health, Division of Geriatric Medicine and Gerontology , School of Medicine, Johns Hopkins University , Baltimore , Maryland , USAb Department of Biostatistics , Johns Hopkins Bloomberg School of Public Health , Baltimore , Maryland , USA
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Sue-Jane Wang c Office of Biostatistics, Office of Translational Service , Center for Drug Evaluation and Research, US Food and Drug Administration , Washington , DC , USAd Engineering and Applied Science Programs for Professionals , Johns Hopkins University , Baltimore , Maryland , USA
Cite
Varadhan, Ravi, and Sue-Jane Wang. “Standardization for Subgroup Analysis in Randomized Controlled Trials”. Journal of Biopharmaceutical Statistics, vol. 24, no. 1, 2014, pp. 154-67, https://doi.org/10.1080/10543406.2013.856023.
Varadhan, R., & Wang, S.-J. (2014). Standardization for Subgroup Analysis in Randomized Controlled Trials. Journal of Biopharmaceutical Statistics, 24(1), 154-167. https://doi.org/10.1080/10543406.2013.856023
Varadhan R, Wang SJ. Standardization for Subgroup Analysis in Randomized Controlled Trials. Journal of Biopharmaceutical Statistics. 2014;24(1):154-67.
Journal Categories
Medicine
Public aspects of medicine
Toxicology
Poisons
Medicine
Therapeutics
Pharmacology
Science
Mathematics
Probabilities
Mathematical statistics
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Title | 2011 | |||
| Guidance for Industry. Providing clinical evidence of effectiveness of human drug and biological products | 1998 | |||
| 10.1097/01.EDE.0000081989.82616.7d | ||||
| 10.1016/S0140-6736(06)69606-2 | ||||
| Marginal Structural Models and Causal Inference in Epidemiology | Epidemiology |
| 3,485 | 2000 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Overview of Cochrane Systematic Reviews for Rehabilitation Interventions in Persons With Spinal Cord Injury: A Mapping Synthesis | Archives of Physical Medicine and Rehabilitation |
| 2 | 2023 |
Assessing and communicating heterogeneity of treatment effects for patient subpopulations: Keynote and panel discussion on communicating heterogeneous treatment effects across populations | Pharmaceutical Statistics |
| 2021 | |
Propensity score weighting for causal subgroup analysis | Statistics in Medicine |
| 18 | 2021 |
| Tutorial: A nontechnical explanation of the counterfactual definition of effect modification and interaction | Journal of Clinical Epidemiology |
| 20 | 2021 |
| Discovering interactions using covariate informed random partition models | The Annals of Applied Statistics |
| 2021 |
Citations Analysis
The category
Medicine: Medicine (General) 10
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Treatment effect heterogeneity for univariate subgroups in clinical trials: Shrinkage, standardization, or else and was published in 2015. The most recent citation comes from a 2023 study titled Overview of Cochrane Systematic Reviews for Rehabilitation Interventions in Persons With Spinal Cord Injury: A Mapping Synthesis. This article reached its peak citation in 2021, with 5 citations. It has been cited in 15 different journals, 20% of which are open access. Among related journals, the Journal of Clinical Epidemiology cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.