Name Notebooks Description
6906a39eb2ed300a27d5bdfea869f2d6 AGE Rates.ipynb AGE Rates.ipynb
3a4c1bd16f138d5823e1b36d794733cc Kawasaki Non-responder Model.ipynb
0bf560ff612bc43f561d9dad58c1f2a0 Section8_1b-Advanced-Data-Visualization (Bokeh).ipynb
398284746d12f1dd9d6a76803b5f9e67 BEST.ipynb
442cb9ec7a518b6cb442acf788d7ca6d Dataset Statistics.ipynb
034b4fdafaa9a0177e711157a525e475 Dual Endpoints.ipynb
a8da89ba6833c2e982814fdba38b90ec ARMA.ipynb
1859dc732797d9e6922cd50e79529068 Non-Spatial Measles Model-theirs.ipynb
8d740688557398d66463d381f2613fd4 Prior Traceplot.ipynb
a025f78ad1bdff0835232523273a56b3 Survival.ipynb
08e436ae52f7e577ceec026db13f1557 Key Question 4 Meta-analysis.ipynb
671eb5d8f4854021639faff3cc859dd2 Pediatrics Paper (v3).ipynb
3306f84b89aaf82cffad0e5822f9118a Dataset Statistics.ipynb
880c4ea34fbd965b2c3dc34d17ad5446 Introduction to Jupyter Notebooks.ipynb
4d13b2379dd2d390aaa3c7d2d1429a94 Articulation.ipynb
2a5007e1725f7efb0d9faf317dc205de Key Question 3 Meta-analysis.ipynb
e74620c7ff15232e2ca7a726ed082053 Bleeding MA.ipynb
09d12cd7df09eae63175 Untitled.ipynb
47fb5f99767ce728e7da pymc3_uniform.ipynb
cd6bb375f1ef3e7fec34 AGE Rates.ipynb
3919968669ecd852f87f Simple GP.ipynb