Learning & Exploring Survival Analysis Part 1 - A Note To Myself
A note to myself on survival analysis — KM curves, log-rank tests & Cox models 🧮 If I wrote it the way I understood it, maybe I’ll actually remember it 🤞
A note to myself on survival analysis — KM curves, log-rank tests & Cox models 🧮 If I wrote it the way I understood it, maybe I’ll actually remember it 🤞
Dipping my toes into quantum computing 🌊 — circuits, gates, superposition. Still very much a beginner, but hands-on experiments with qiskit + R’s reticulate made it click a little more. Baby steps!
🦠Made up my own memory tricks — Amp(G)atekeeper, Amp(D)umpster, Amp(R)epressor — to understand AmpC mechanics. Learnt Serratia has 2 recyclers (AmpD + AmiD2) making derepression harder, and E. coli lacks AmpR so AmpC stays silent! 🙌
📊 Dipping my toes into financial statements — income, balance sheet & cash flow. Still don’t fully get it, but slowly piecing together the story these numbers tell. Warren Buffett makes it look easy 😅 Baby steps! 🌱
Exploring pip/tazo PTA for Pseudomonas using popPK simulation. Key finds: 30-min infusions fall short of 90% PTA at MIC 16; prolonged infusion helps, but neutropenic fever population sees the biggest drop in PTA. ~46% of susceptible PsA isolates carry blaOXA-2 — tazobactam matters more than I thought