Featured
Conformal Statistical Inference
Marginal coverage guarantees, split conformal prediction (SCP), conformal quantile regression (CQR), full conformal, and Jackknife+. Available as a comprehensive interactive notebook and a slide tutorial in Spanish.
New Book
Computational Causal Inference for Applied Researchers
An introduction to causal inference that starts from potential outcomes and DAGs and builds up to TMLE, longitudinal data, mediation, and sensitivity analysis. Nine chapters with reproducible R and Stata examples (~65 in total).
Causal Inference & TMLE 8 works
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Computational Causal Inference for Applied Researchers (Book)
The full book online. Nine chapters, 71 references. From potential outcomes and DAGs through to TMLE, with R and Stata code throughout.
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Metalearners vs ELTMLE for Heterogeneous Treatment Effect Estimation
Comparing S-, T-, and X-learners (h2o with GBM) against ELTMLE in Stata. CATE estimation with theoretical background and reproducible Quarto analysis.
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Targeted Maximum Likelihood Estimation (TMLE) in R
A practical walk-through of TMLE: influence functions, the fluctuation step, and variance estimation, all with worked examples in R.
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Applied Computational Causal Inference using Stata
Doubly robust methods, AIPW, and TMLE in Stata using the
eltmlecommand. Real-data examples and hands-on workflow. -
Las matemáticas detrás de TMLE (en español)
Derivación matemática completa: funciones de influencia, teoría semiparamétrica, y estimadores doblemente robustos.
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Delta Method Tutorial
Variance estimation via the delta method for common epidemiological estimands. Derivations and examples in an R notebook.
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ELTMLE: One Simulation (2017 SUGM)
Simulation study presented at the 2017 Stata User Group Meeting, comparing
eltmleto competitors under dual misspecification. -
ELTMLE — GitHub Repository
Open-source Stata module for TMLE estimation of the average treatment effect, with SuperLearner integration.
Survival Analysis 4 works
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Introduction to Time-to-Event Analysis
Kaplan-Meier curves, log-rank tests, and Cox proportional hazards models. Workshop tutorial from ULB.
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Net Survival: Cohort Analysis (Relative Survival Framework)
Standardizing net survival estimates in a cohort design. For Stata users working with population-based cancer registry data.
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Net Survival: STRS & Poisson Regression
Fitting STRS models and Poisson regression for net survival estimation under the relative survival framework.
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Net Survival: Flexible Parametric Modeling
Royston-Parmar flexible parametric survival models applied to net survival. Extended tutorial with full Stata code.
Machine Learning 3 works
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SuperLearner Tutorial for Epidemiologists & Biostatisticians
Cross-validated ensemble ML with clinical application: binary & continuous outcomes, hyperparameter tuning, feature screening, parallel computing, custom wrappers, and TMLE bridge. R + Quarto.
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Cross-Validation in Practice with R
K-fold CV, leave-one-out, and bootstrap resampling for model selection and evaluation. Interactive R notebook.
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cvAUROC — Cross-validated AUC for Stata
Stata module that computes cross-validated area under the ROC curve with bootstrap confidence intervals.
Interactive Shiny Apps 7 apps
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Desigualdades Sociales en Andalucía (RENTA)
Mapa interactivo de renta mediana y variables sociodemográficas por sección censal en Andalucía (2015–2022). Incluye asistente inteligente con IA local (Ollama) para consultas en lenguaje natural, garantizando la privacidad de los datos.
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Expected Date of Delivery
Calculate an expected delivery date from gestational age, with uncertainty intervals.
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Pattern of Comorbidities in Cancer
Interactive network visualisation of comorbidity patterns among cancer patients.
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Parametric Distributions: Time-to-Event
Explore Weibull, log-normal, and Gompertz survival distributions and their hazard functions interactively.
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Colliders in Epidemiology
A visual demonstration of collider bias and selection bias in causal inference.
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Central Limit Theorem Explorer
Draw samples from normal, uniform, exponential, and bimodal distributions to see the CLT emerge step by step.
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Confidence Intervals Explorer
How do sample size, variability, and confidence level affect interval width? Uses simulated repeated sampling to show what coverage probability actually means.
Stata Packages 3 packages
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eltmle
Targeted Maximum Likelihood Estimation for the average treatment effect in Stata, using SuperLearner ensemble learning.
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cvAUROC
Cross-validated area under the ROC curve for binary classifiers, with bootstrap CIs and k-fold CV.
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cmatch
Quick tabulation of matched pairs in 1:1 case-control studies by exposure status. Simple, small, well tested.
R Packages 1 package
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BioEstatR
Classical biostatistics routines for the health sciences — companion package to Matemática Estadística Médica con R. Probability, inference, regression, epidemiology.
Books 3 books
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Computational Causal Inference for Applied Researchers
Nine chapters covering potential outcomes, DAGs, G-formula, propensity scores, AIPW, TMLE, longitudinal data, mediation, and sensitivity analysis. About 65 examples in R and Stata.
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Mathematical Statistics with R (Matemática Estadística con R)
Open-access textbook on mathematical statistics for medicine and the health sciences. R and Quarto throughout. In Spanish.
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Advanced Methods for Biostatistics (Bioestadística Aplicada)
Applied biostatistics: survival analysis, longitudinal models, causal inference, and diagnostic test evaluation. R implementations throughout.
Tools & Guides 1 guide
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Claude Code en Windows
Guía paso a paso para instalar y usar Claude Code en Windows, orientada a estadísticos y científicos de datos.