Home “Show me the DAG!”
Article
Licensed
Unlicensed Requires Authentication

“Show me the DAG!”

  • Elizabeth F. Krakow EMAIL logo
Published/Copyright: October 28, 2022
Become an author with De Gruyter Brill
Submit Manuscript Author Information
The International Journal of Biostatistics
From the journal The International Journal of Biostatistics Volume 19 Issue 2

Published Online: 2022-10-28

© 2022 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Part-1: SMAC 2021 Webconference
  3. Statistics, philosophy, and health: the SMAC 2021 webconference
  4. Part-2: Regular Articles
  5. “Show me the DAG!”
  6. Causal inference for oncology: past developments and current challenges
  7. The EBM+ movement
  8. Bayesianism from a philosophical perspective and its application to medicine
  9. Bayesian inference for optimal dynamic treatment regimes in practice
  10. Agent-based modeling in medical research, virtual baseline generator and change in patients’ profile issue
  11. Agent based modeling in health care economics: examples in the field of thyroid cancer
  12. A copula-based set-variant association test for bivariate continuous, binary or mixed phenotypes
  13. Detection of atypical response trajectories in biomedical longitudinal databases
  14. Potential application of elastic nets for shared polygenicity detection with adapted threshold selection
  15. Error analysis of the PacBio sequencing CCS reads
  16. A SIMEX approach for meta-analysis of diagnostic accuracy studies with attention to ROC curves
  17. Statistical modelling of COVID-19 and drug data via an INAR(1) process with a recent thinning operator and cosine Poisson innovations
  18. The balanced discrete triplet Lindley model and its INAR(1) extension: properties and COVID-19 applications
https://doi.org/10.1515/ijb-2022-0090
Keywords for this article
Cancer treatment; Causal inference; Clinical trial design; Precision medicine

Articles in the same Issue

  1. Frontmatter
  2. Part-1: SMAC 2021 Webconference
  3. Statistics, philosophy, and health: the SMAC 2021 webconference
  4. Part-2: Regular Articles
  5. “Show me the DAG!”
  6. Causal inference for oncology: past developments and current challenges
  7. The EBM+ movement
  8. Bayesianism from a philosophical perspective and its application to medicine
  9. Bayesian inference for optimal dynamic treatment regimes in practice
  10. Agent-based modeling in medical research, virtual baseline generator and change in patients’ profile issue
  11. Agent based modeling in health care economics: examples in the field of thyroid cancer
  12. A copula-based set-variant association test for bivariate continuous, binary or mixed phenotypes
  13. Detection of atypical response trajectories in biomedical longitudinal databases
  14. Potential application of elastic nets for shared polygenicity detection with adapted threshold selection
  15. Error analysis of the PacBio sequencing CCS reads
  16. A SIMEX approach for meta-analysis of diagnostic accuracy studies with attention to ROC curves
  17. Statistical modelling of COVID-19 and drug data via an INAR(1) process with a recent thinning operator and cosine Poisson innovations
  18. The balanced discrete triplet Lindley model and its INAR(1) extension: properties and COVID-19 applications
Sign up now to receive a 20% welcome discount
Institutional Access
How does access work?
Have an idea on how to improve our website?
Please write us.
© 2025 De Gruyter Brill
Downloaded on 2.11.2025 from https://www.degruyterbrill.com/document/doi/10.1515/ijb-2022-0090/html
Scroll to top button