- 2022-03-19 - trialML: Preparing a machine learning model for a statistical trial
- 2022-03-08 - SurvSet: An open-source time-to-event dataset respository
- 2022-02-01 - Statistically validating a model for a point on the ROC curve
- 2022-01-09 - Computational tools to support enciphered poetry
- 2021-11-12 - Understanding the fragility index
- 2021-09-30 - Using a modified Hausman likelihood to adjust for binary label error
- 2021-06-27 - Shorting the Canadian housing market with REITs
- 2021-05-24 - The sum of a normal and a truncated normal
- 2021-04-11 - A case of matching methods being poorly suited to analysing harm reduction policies
- 2021-03-06 - Vectorizing t-tests and F-tests for unequal variances
- 2021-02-08 - An analysis of neighbourhood level population changes in Toronto and Vancouver
- 2021-01-27 - Confidence interval approximations for the AUROC
- 2020-11-25 - Canadian cancer statistics - a mixed story
- 2020-11-21 - Running a statistical trial for a machine learning regression model
- 2020-09-12 - Implementing the bias-corrected and accelerated bootstrap in Python
- 2020-07-11 - A winner's curse adjustment for a single test statistic
- 2020-06-27 - Preparing a binary classifier for a statistical trial
- 2020-04-07 - Pediatric incubation time for COVID-19 using CORD-19 data
- 2020-03-24 - AI Deployment Symposium
- 2020-02-04 - Direct AUROC optimization with PyTorch
- 2019-10-19 - Ordinal regression using the threshold approach from scratch
- 2019-06-15 - Elastic Net Exponential model for censored data
- 2019-04-23 - The HRT for mixed data types (Python implementation)
- 2019-03-09 - Parameter inference through black box predictions: the Holdout Randomization Test (HRT)
- 2019-01-11 - Linear time AUC optimization
- 2018-08-22 - A convex approximation of the concordance index (C-index)
- 2018-06-08 - Building an Elastic-Net Cox Model with Time-Dependent covariates
- 2018-04-02 - Building a survival-neuralnet from scratch in base R
- 2018-03-14 - Stratified survival analysis as a form of multitask/transfer learning
- 2018-03-03 - Gradient descent for the elastic net Cox-PH model
- 2018-02-07 - OLS under covariate shift
- 2018-01-23 - Trade-offs in apportioning training, validation, and test sets
- 2018-01-03 - Selective Inference: A useful technique for high-throughput biology
- 2017-12-09 - Theoretical properties of the Lasso: avoiding CV in high-dimensional datasets
- 2017-11-02 - Hyperparameter learning via bi-level optimization
- 2017-04-15 - Logistic regression from A to Z
- 2017-04-13 - Adjusting survival curves with inverse probability weights
- 2017-02-28 - Using quadratic programming to solve L1-norm regularization
- 2017-02-26 - Cancer classification using plasma cirDNA: A small N and large p environment
- 2017-02-13 - Machine learning and causal inference
- 2017-01-24 - Delta method
- 2017-01-23 - Introduction to R and Bioconductor
- 2017-01-16 - Cure models, genomic data, and the TCGA dataset
- 2017-01-12 - Introduction to survival analysis
- 2017-01-03 - miRNA data for species classification
- 2016-12-28 - Batch effects
- 2016-12-23 - Ridge regression
- 2016-12-22 - RMarkdown+Jekyll