The Triangulation WIthin a STudy (TWIST) framework for causal inference within pharmacogenetic research.
In this paper we review the methodological underpinnings of the general pharmacogenetic approach for uncovering genetically-driven treatment effect heterogeneity. This typically utilises only individuals who are treated and relies on fairly strong baseline assumptions to estimate what we term the ...
Saved in:
| Main Authors: | Jack Bowden, Luke C Pilling, Deniz Türkmen, Chia-Ling Kuo, David Melzer |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2021-09-01
|
| Series: | PLoS Genetics |
| Online Access: | https://journals.plos.org/plosgenetics/article/file?id=10.1371/journal.pgen.1009783&type=printable |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Estimating and visualising multivariable Mendelian randomization analyses within a radial framework.
by: Wes Spiller, et al.
Published: (2024-12-01) -
Understanding the causes and consequences of low statin adherence: evidence from UK Biobank primary care data
by: Deniz Türkmen, et al.
Published: (2025-07-01) -
Causal inference for heritable phenotypic risk factors using heterogeneous genetic instruments.
by: Jingshu Wang, et al.
Published: (2021-06-01) -
The Development and Application of the Qualitative Triangulation Framework (QTF) for Exploring Tension Within and Across Qualitative Data Sets: Case Studies of Trans and Gender Diverse Youth’s Healthcare Experiences
by: Chase O. Staras, et al.
Published: (2025-08-01) -
Nonlinear mixed‐effects modeling as a method for causal inference to predict exposures under desired within‐subject dose titration schemes
by: Christian Bartels, et al.
Published: (2025-01-01)