Tutorial in biostatistics: data-driven subgroup identification and analysis in clinical trials.
Sign Up to like & getrecommendations! Published in 2017 at "Statistics in medicine"
DOI: 10.1002/sim.7064
Abstract: It is well known that both the direction and magnitude of the treatment effect in clinical trials are often affected by baseline patient characteristics (generally referred to as biomarkers). Characterization of treatment effect heterogeneity plays… read more here.
Keywords: analysis; driven subgroup; data driven; subgroup identification ... See more keywords
Subgroup identification in dose-finding trials via model-based recursive partitioning.
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DOI: 10.1002/sim.7594
Abstract: An important task in early-phase drug development is to identify patients, which respond better or worse to an experimental treatment. While a variety of different subgroup identification methods have been developed for the situation of… read more here.
Keywords: model based; dose finding; recursive partitioning; subgroup identification ... See more keywords
Multi‐threshold proportional hazards model and subgroup identification
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DOI: 10.1002/sim.9589
Abstract: We propose a novel two‐stage procedure for change point detection and parameter estimation in a multi‐threshold proportional hazards model. In the first stage, we estimate the number of thresholds by formulating the threshold detection problem… read more here.
Keywords: hazards model; proportional hazards; multi threshold; subgroup identification ... See more keywords
Bayesian additive decision trees of biomarker by treatment interactions for predictive biomarker detection and subgroup identification
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Biopharmaceutical Statistics"
DOI: 10.1080/10543406.2017.1372770
Abstract: ABSTRACT Personalized medicine, or tailored therapy, has been an active and important topic in recent medical research. Many methods have been proposed in the literature for predictive biomarker detection and subgroup identification. In this article,… read more here.
Keywords: decision; detection subgroup; predictive biomarker; treatment ... See more keywords
A promising subgroup identification method based on a genetic algorithm for censored survival data.
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DOI: 10.1080/10543406.2023.2170397
Abstract: Modern precision medicine requires drug development to account for patients' heterogeneity, as only a subgroup of the patient population is likely to benefit from the targeted therapy. In this paper, we propose a novel method… read more here.
Keywords: subgroup identification; genetic algorithm; based genetic; method ... See more keywords
Robust logistic regression tree for subgroup identification in healthcare outcome modeling
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DOI: 10.1080/24725579.2020.1759161
Abstract: Abstract Outcome data are routinely collected in healthcare practices and used for quality of care assessment and improvement. Logistic regression trees are a popular method for subgroup identification for binary outcome data. Outliers often exist… read more here.
Keywords: subgroup identification; logistic regression; regression tree; regression ... See more keywords
View-Aware Collaborative Learning for Survival Prediction and Subgroup Identification
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DOI: 10.1109/tbme.2022.3190050
Abstract: Advances of high throughput experimental methods have led to the availability of more diverse omic datasets in clinical analysis applications. Different types of omic data reveal different cellular aspects and contribute to the understanding of… read more here.
Keywords: prediction subgroup; subgroup identification; survival prediction;