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Updated: Jun 11, 2026

High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes

High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes

Published on: March 3, 2015

Screening Experiments for Developing Dynamic Treatment Regimes.

S A Murphy¹, D Bingham

¹Department of Statistics, University of Michigan, Ann Arbor, MI 48109, samurphy@umich.edu.

Journal of the American Statistical Association

|July 1, 2010

Summary

This summary is machine-generated.

This study introduces a new method for dynamic treatment regimes, identifying effective treatment components for personalized medicine. The approach uses causal factorial effects and modified experimental designs for efficient screening.

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Area of Science:

Biostatistics
Clinical Trial Design
Personalized Medicine

Background:

Dynamic treatment regimes personalize patient care over time.
Constructing these regimes is complex due to sequential treatment eligibility and numerous component combinations.

Purpose of the Study:

To propose novel methodology for identifying effective treatment components and screening out ineffective ones within dynamic treatment regimes.
To define causal factorial effects for sequentially applied treatment components.

Main Methods:

Defining causal factorial effects for sequential treatment components.
Adapting fractional factorial designs from engineering statistics for treatment component screening.
Developing an analysis model to screen these factorial effects.

Main Results:

Demonstrated the proposed methodology with literature-motivated examples.
Validated the approach through a simulation study.
Showcased the adaptability of factorial designs for clinical settings.

Conclusions:

The proposed methodology offers a robust framework for identifying optimal treatment components in dynamic treatment regimes.
Modified factorial designs and causal effect definitions are effective for screening in personalized medicine.
This work advances the statistical methods for constructing individualized, time-varying treatment strategies.