Miguel HernanStudent tuition waiver applications are now open for @CAUSALab's 2024 courses on #causalinference!
Course registration will open in early February ⏰
Learn more 👉 https://causalab.sph.harvard.edu/courses
Vanda Craveiro
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Daniel LakensA sample size justification for *precision* instead of *statistical power* is, in my view, much more difficult. Most fields are not even close to articulating how precise estimates need to be to have sufficient informational value for a research question.
Have you ever been advised to state your hypothesis in your grant application? Sander Greenland and I argue that stating hypotheses is unnecessary.
https://jamanetwork.com/journals/jama/fullarticle/2813846
Who cares what you guess the qualitative answer is before doing the study? Just do the study.
Your hypothesis is nobody's business.
Why Stating Hypotheses in Grant Applications Is Unnecessary
This Viewpoint argues that a hypothesis-centric approach to writing grant applications is problematic and instead suggests that funding applications should be evaluated by their relevance and methodological quality rather than by qualitative assertions before the study is conducted.
CAUSALabInterested in #causalinference? This summer, learn from top experts in the field.
Four courses will be held both in person at the Harvard T.H. Chan School of Public Health and online.
👉To find out which courses are right for you visit https://causalab.sph.harvard.edu/courses/
Just in time for Xmas:
A revision of the #WhatIfBook is available.
With a brand new chapter on #CausalMediation.
We also made general improvements and corrected typos (Thanks!).
https://hsph.harvard.edu/miguel-hernan/causal-inference-book/
The first edition of "Causal Inference: What If" is expected in bookstores before the Summer of 2023. We'll keep a free version online.
