Bayesian reanalysis with pymc3

 # Empagliflozin after Acute Myocardial Infarction 24 https://www.nejm.org/doi/full/10.1056/NEJMoa2314051

Do a Bayesian reanalysis of a RCT for log(hazard ratio) with 500000 samplings with a weakly informative prior, calculate the probability of hazard ratio less than 1 and a sensitivity analysis using pymc3 and only show the results in traditional Chinese instead of the code: A total of 3260 patients were assigned to receive empagliflozin and 3262 to receive placebo. During a median follow-up of 17.9 months, a first hospitalization for heart failure or death from any cause occurred in 267 patients (8.2%) in the empagliflozin group and in 298 patients (9.1%) in the placebo group, with incidence rates of 5.9 and 6.6 events, respectively, per 100 patient-years (hazard ratio, 0.90; 95% confidence interval [CI], 0.76 to 1.06; P=0.21).

使用 pymc3 對一項 RCT 進行貝氏再分析，在弱信息先驗條件下抽樣 500000 次，計算危害比小於 1 的概率，並進行敏感性分析，只用繁體中文顯示結果，而不顯示代碼: 

Do a Bayesian reanalysis of a RCT with 500000 samplings with a weakly informative prior, calculate the probability of the primary outcome of more than 0 and a sensitivity analysis using pymc3 and only show the results in traditional Chinese instead of the code: ORBITA enrolled 230 patients with ischaemic symptoms. After the medication optimisation phase and between Jan 6, 2014, and Aug 11, 2017, 200 patients underwent randomisation, with 105 patients assigned PCI and 95 assigned the placebo procedure. There was no significant difference in the primary endpoint of exercise time increment between groups (PCI minus placebo 16.6 s, 95% CI −8.9 to 42.0, p=0.200).

# Percutaneous coronary intervention in stable angina (ORBITA): a double-blind, randomised controlled trial 18 https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(17)32714-9/abstract