To Explain, to Predict, or to Describe: Figuring out the Study Goal [Commentary on “On the Uses and Abuses of Regression Models” by Carlin and Moreno‐Betancur]
Fuente:
Wiley Open Access
Saved in:
| Main Author: | |
|---|---|
| Format: | Artículo Open Access |
| Published: |
Wiley
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1867008688384901120 |
|---|---|
| author | Galit Shmueli |
| author_facet | Galit Shmueli Galit Shmueli |
| collection | Wiley Open Access |
| contents | To Explain, to Predict, or to Describe: Figuring out the Study Goal [Commentary on “On the Uses and Abuses of Regression Models” by Carlin and Moreno‐Betancur] Galit Shmueli Statistics in Medicine ABSTRACTI strongly support Carlin and Moreno‐Betancur's assertion that regression modeling (and in fact, any modeling) should be driven by the type of research question: descriptive, predictive, or causal. I share six points to highlight and clarify further confusions and suggest additional tricks to identify the right type. These include a focus on actions, individual vs. collective, additional causal typologies, the significance of variable names, software‐related issues, and the role of data. 10.1002/sim.10307 http://onlinelibrary.wiley.com/termsAndConditions#vor |
| doi_str_mv | 10.1002/sim.10307 |
| format | Artículo Open Access |
| id | wiley_oa_10_1002_sim_10307 |
| institution | Wiley Open Access |
| license_str_mv | http://onlinelibrary.wiley.com/termsAndConditions#vor |
| publishDate | 2025 |
| publisher | Wiley |
| record_format | wiley_oa |
| spellingShingle | To Explain, to Predict, or to Describe: Figuring out the Study Goal [Commentary on “On the Uses and Abuses of Regression Models” by Carlin and Moreno‐Betancur] Galit Shmueli Statistics in Medicine To Explain, to Predict, or to Describe: Figuring out the Study Goal [Commentary on “On the Uses and Abuses of Regression Models” by Carlin and Moreno‐Betancur] Galit Shmueli Statistics in Medicine ABSTRACTI strongly support Carlin and Moreno‐Betancur's assertion that regression modeling (and in fact, any modeling) should be driven by the type of research question: descriptive, predictive, or causal. I share six points to highlight and clarify further confusions and suggest additional tricks to identify the right type. These include a focus on actions, individual vs. collective, additional causal typologies, the significance of variable names, software‐related issues, and the role of data. 10.1002/sim.10307 http://onlinelibrary.wiley.com/termsAndConditions#vor |
| title | To Explain, to Predict, or to Describe: Figuring out the Study Goal [Commentary on “On the Uses and Abuses of Regression Models” by Carlin and Moreno‐Betancur] |
| topic | Statistics in Medicine |
| url | https://onlinelibrary.wiley.com/doi/10.1002/sim.10307 |