ArticleStatistics in biosciences2013
An analytic framework for aligning observational and randomized trial data: Application to postmenopausal hormone therapy and coronary heart disease.
Article in Statistics in biosciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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
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Who cites it
9 citing papers in PubMed.
- Emulating a Randomized Controlled Trial of Long-Acting Insulins and Cardiovascular Events Using Real-World Data for Patients With Type 2 Diabetes.Pharmacoepidemiology and drug safety · 2026Article
- Association of Timing and Duration of Prenatal Analgesic Opioid Exposure With Attention-Deficit/Hyperactivity Disorder in Children.JAMA network open · 2021Article
- Hypertension Control and Retention in Care Among HIV-Infected Patients: The Effects of Co-located HIV and Chronic Noncommunicable Disease Care.Journal of acquired immune deficiency syndromes (1999) · 2019Article
- Learning the effects of psychotropic drugs during pregnancy using real-world safety data: a paradigm shift toward modern pharmacovigilance.International journal of clinical pharmacy · 2018Article
- Effect of Time-Dependent Selective Serotonin Reuptake Inhibitor Antidepressants During Pregnancy on Behavioral, Emotional, and Social Development in Preschool-Aged Children.Journal of the American Academy of Child and Adolescent Psychiatry · 2018Article
- Effect of initiating drug treatment on the risk of drug-related poisoning death and acquisitive crime among offending heroin users.The International journal on drug policy · 2018Observational
- Using patient self-reports to study heterogeneity of treatment effects in major depressive disorder.Epidemiology and psychiatric sciences · 2017Review
- Network meta-analysis incorporating randomized controlled trials and non-randomized comparative cohort studies for assessing the safety and effectiveness of medical treatments: challenges and opportunities.Systematic reviews · 2015Article
- Antidepressant treatment and suicide attempts and self-inflicted injury in children and adolescents.Pharmacoepidemiology and drug safety · 2015Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
We describe a conceptual analytic framework for aligning observational and randomized controlled trial (RCT) data. The framework allows one to 1) use observational data to estimate treatment effects comparable to their RCT counterparts, 2) properly include early events that occur soon after treatment initiation in the analysis of observational data, 3) estimate various treatment effects that are of clinical and scientific relevance while appropriately adjusting for time-varying confounders in both the RCT and observational analyses, 4) assess the generalizability of RCT findings in the more diverse populations generally found in the observational data, and 5) combine both types of data to study associations that cannot be addressed by one study or a single dataset. We describe the theoretical application of this framework to the Women's Health Initiative data to examine the relation between postmenopausal hormone therapy and coronary heart disease. The analytic framework can be tailored to specific exposure-outcome associations and data sources, and may be refined as more is learned about its strengths and limitations.
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Registered trials
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