Все публикации

0:09:00

collapsibility example in epidemiological setting

0:01:05

Advantage of backward elimination over forward selection in regression methods

0:04:37

Cross validation vs bootstrap

0:13:02

interaction vs effect measure modification in observational epidemiological studies (w/confounding)

0:02:53

Reference for machine learning topics

0:14:11

Critical Appraisal of Published Articles using Machine Learning methods in clinical research

0:32:46

Model Development Considerations for Machine Learning Implementations in Clinical Applications

0:09:55

Unsupervised Learning: K-means, Optimal number of clusters, choose different initial means (nstart)

0:24:22

Overview of supervised learning in machine learning

0:11:58

Prediction binary outcome, Measuring prediction error: AUC / Brier Score

0:25:51

Prediction continuous outcome, Design Matrix, Measure prediction error: rmse/ r2, Overfit/ Optimism

0:18:50

Supervised Learning: CART vs Ensemble method (bagging/ boosting/ Super Learner); Variable importance

0:06:21

RHC data description

0:10:56

Cross validation in machine learning: k-fold, 1-by-1, automated caret package, performance measure

0:06:22

Data splitting in machine learning; test, train and performance measures

2:25:23

R Guide for TMLE in Medical Research (R/Medicine Conference Short Course)

0:11:10

Lab 4h Supopulation in Complex Survey data (Subsetting)

0:10:23

Lab 4g Analyzing another the analytic dataset from NHANES

0:24:00

Lab 3d definition of collapsibility, and examples in RD, RR and OR: marginal & conditional estimates

0:09:04

Lab3c problem with change-in-estimate method for odds ratios

0:25:59

RStudio + @GitHub: Manuscript Writing Collaboration Tools (Bookdown site + PDF via Rmarkdown)

0:10:41

Scientific writing Discussion Section

0:08:33

Scientific writing Results Section

0:07:20

Scientific writing Methods Section