Author's Meeting - 2023-09-29

[adibender]

• notation
• new table of contents
• categories accessible and transparent
• software: references/detailed comments in the main part

[RaphaelS1]

1. categories accessible and transparent

[RaphaelS1]

These are outdated, should definitely be removed everywhere. They only apply to implementation anyway

[RaphaelS1]

In top intro start with general points and methods, without specific commentary. Then can drill down into individual papers as needed for specific methods. Most important contribution is concepts of the method and general overview to synthesise info. Lean toward opinionated (uncontroversial), don't just want a list of methods.

[RaphaelS1]

Don't make false claims!

[RaphaelS1]

2. software: references/detailed comments in the main part

[RaphaelS1]

Add short appendix/extra section at end of book to list implementations at the time of writing

[RaphaelS1]

Create online crowdsourced table for MLSA packages, can include a snapshot at time of submission

[RaphaelS1]

Exercises

[RaphaelS1]

• Will include
• We'll write them at the end
• Possible a chapter called 'Exercises' divided into different sections

[RaphaelS1]

January open source deadline

[RaphaelS1]

• Preface - RS
• Symbols - RS
• Introduction - RS
• MLSA start to finish - AB
• Statistical learning - RS
• Survival analysis -AB
• Part II - Comment out commentary and just list measures - RS
• Classical models - Aim to have something very short but not essential - RS
• What are survival models? - AB
• Tree-based - AB
• Boosting - RS
• Reductions - AB
• Competing risks - AB
• (Poisson) - AB