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Subgroup analysis with concave pairwise fusion penalty for ordinal response
The growing popularity of data heterogeneity motivates people to identify homogeneous subgroups with identical parameters. Meanwhile, in many fields...
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Simultaneous subgroup identification and variable selection for high dimensional data
The high dimensionality of genetic data poses many challenges for subgroup identification, both computationally and theoretically. This paper...
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Subgroup identification in individual participant data meta-analysis using model-based recursive partitioning
Model-based recursive partitioning (MOB) can be used to identify subgroups with differing treatment effects. The detection rate of...
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A robust threshold t linear mixed model for subgroup identification using multivariate T distributions
Subgroup identification has emerged as a popular statistical tool to access the heterogeneity in treatment effects based on specific characteristics...
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Subgroup Analysis: A View from Industry
Subgroup analysis in clinical trials for regulatory and reimbursement purposes can be confirmatory or exploratory in nature. Confirmatory subgroup...
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Subgroup Analysis from Bayesian Perspectives
Identifying the sub-population structures along with the tailored treatments for all groups plays a critical rule for assigning the best available...
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Statistical inference for Cox model under case-cohort design with subgroup survival information
With the explosive growth of data, it is a challenge to infer the quantity of interest by combining the existing different research data about the...
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Power of Statistical Tests for Subgroup Analysis in Meta-Analysis
Meta-analysis is used extensively in health and medicine to examine the average effect of a treatment and the variation among studies estimating this...
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Data-Driven and Confirmatory Subgroup Analysis in Clinical Trials
In this chapter we provide an overview of the principles and practice of subgroup analysis in late-stage clinical trials. For convenience, we...
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Considerations on Subgroup Analysis in Design and Analysis of Multi-Regional Clinical Trials
The application of multi-regional clinical trials (MRCTs) is a preferred strategy for rapid global new drug development. In a MRCT, besides the other...
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Exploratory Subgroup Identification for Biopharmaceutical Development
A major challenge in develo** precision medicines is the identification and confirmation of patient subgroups where an investigational regimen has...
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Heterogeneity and Subgroup Analysis in Network Meta-Analysis
Comprehensive healthcare decision-making requires a comparisons of the relevant competing treatment options for a particular disease state....
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Overview of Recent Advances on the Analysis of Interval-Censored Failure Time Data
As discussed by Dr. Finkelstein in Chap. 1, interval-censored failure time data are a general type of failure time or time-to-event data that often...
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The GUIDE Approach to Subgroup Identification
GUIDE is a multi-purpose algorithm for classification and regression tree construction with special capabilities for identifying subgroups with...
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Issues Related to Subgroup Analyses and Use of Intensive Stratification
After the completion of a clinical study for the drug efficacy and safety, subgroup analyses are typically conducted. The analyses may yield...
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Subgroup Analysis with Partial Linear Regression Model
In clinical trials it is common that the treatment has different effects on different subjects. This motivates the precision medicine, the goal is to...
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Quantile-Based Subgroup Identification for Randomized Clinical Trials
In many clinical trials, treatment effects may be heterogeneous across subgroups so that individuals in such groups receive different benefits....
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Introduction to Meta-Analysis
Studies within a systematic review are often combined statistically in a meta-analysis, which quantitatively synthesizes all available evidence about...
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Practical Subgroup Identification Strategies in Late-Stage Clinical Trials
The chapter discusses practical considerations arising in subgroup exploration exercises in late-stage clinical trials. Subgroup identification...
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Regression and subgroup detection for heterogeneous samples
Regression analysis of heterogeneous samples with subgroup structure is essential to the development of precision medicine. In practice, this task is...
