ReviewThe international journal of biostatistics2011
Principal stratification--a goal or a tool?
Review in The international journal of biostatistics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed.
- Hazards Constitute Key Quantities for Analyzing, Interpreting and Understanding Time-to-Event Data.Biometrical journal. Biometrische Zeitschrift · 2025Review
- A Pseudo-Value Approach to Causal Deep Learning of Semi-Competing Risks.Arabian journal of mathematics · 2025Article
- Computational tools and data integration to accelerate vaccine development: challenges, opportunities, and future directions.Frontiers in immunology · 2025Review
- Translating questions to estimands in randomized clinical trials with intercurrent events.Statistics in medicine · 2022Article
- Physical Activity and the Risk of Hemorrhagic Stroke: A Population-Based Longitudinal Follow-Up Study in Taiwan.Frontiers in medicine · 2021Article
- A model-based approach for simulating adaptive clinical studies with surrogate endpoints used for interim decision-making.Contemporary clinical trials communications · 2020Article
- A causal framework for classical statistical estimands in failure-time settings with competing events.Statistics in medicine · 2020Article
- The challenging interpretation of instrumental variable estimates under monotonicity.International journal of epidemiology · 2018Article
- Bounded, efficient and multiply robust estimation of average treatment effects using instrumental variables.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2018Article
- Links between causal effects and causal association for surrogacy evaluation in a gaussian setting.Statistics in medicine · 2017Article
- Causal analysis of ordinal treatments and binary outcomes under truncation by death.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2017Article
- Instrumental Variable Analyses in Pharmacoepidemiology: What Target Trials Do We Emulate?Current epidemiology reports · 2017Review
- Identification and Estimation of Causal Mechanisms in Clustered Encouragement Designs: Disentangling Bed Nets using Bayesian Principal Stratification.Journal of the American Statistical Association · 2016Article
- Causal inference methods to assess safety upper bounds in randomized trials with noncompliance.Clinical trials (London, England) · 2015Article
- Definition and evaluation of the monotonicity condition for preference-based instruments.Epidemiology (Cambridge, Mass.) · 2015Article
- Estimating the health benefit of reducing indoor air pollution in a randomized environmental intervention.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2015Article
- Doubly robust estimation and causal inference in longitudinal studies with dropout and truncation by death.Biostatistics (Oxford, England) · 2015Article
- Nonparametric Bounds and Sensitivity Analysis of Treatment Effects.Statistical science : a review journal of the Institute of Mathematical Statistics · 2014Article
- Rank-based principal stratum sensitivity analyses.Statistics in medicine · 2013Article
- Deep determinism and the assessment of mechanistic interaction.Biostatistics (Oxford, England) · 2013Article
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Authors and funding
1 author.
Funding
Abstract
Principal stratification has recently become a popular tool to address certain causal inference questions, particularly in dealing with post-randomization factors in randomized trials. Here, we analyze the conceptual basis for this framework and invite response to clarify the value of principal stratification in estimating causal effects of interest.
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What OpenQuestion holds
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.