Scientific and statistical writing is not something that people know how to do coming out of their undergraduate degree; indeed, I still struggle to make the writing in every paper I write meaningful and essential. That said, there are a few tips and thoughts I have about scientific and methods writing. These tips are based on publishing in statistics, machine learning, and genomics fields, but I hope other fields will find them useful. I also have thoughts on how to review a manuscript at the bottom, which is an important thing for us all to learn to do well and continually improve.
I will continually update these notes, so feedback us useful and will be incorporated.
- Before writing: how to define a project
- General writing advice, and how to finish a paper
- How to write a paper Abstract
- How to write an Introduction
- How to write a Related Work section
- How to write a Results section
- How to write a Methods section
- How to write a Discussion section
- How to cite figures, tables, and other papers
- How to review a manuscript
- How to look at paper proofs