Teaching
Medical microbiological diagnosis
An interactive Microbiology I course material, from specimen to result, with simulators, cases and self-assessment.
Tools / Methods
Statistical, epidemiological, and predictive methods developed by the research group in R and Python to support clinical decision-making and population-level analysis.
Methods and applications
Teaching
An interactive Microbiology I course material, from specimen to result, with simulators, cases and self-assessment.
Statistical
A finder for physical examination signs with their measured diagnostic performance.
Teaching
An active-learning tool for medical virology.
Statistical
Weighted-incidence syndromic combination antibiograms (WISCA) with Bayesian modeling — the right antibiotic from the first dose.
Predictive
Probabilistic dengue forecasting and early warning for all 32 states of Mexico.
Pipeline
Assembly, typing, and genotypic resistance from sequencing data.
Statistical
Disease trends, seasonality, and the reproduction number.
Statistical
Spatial autocorrelation and determinants at the municipal scale.
Stack R · Python · Stan / brms · sf · spdep · EpiEstim · Nextflow · tidyverse
Section · Clinical laboratory
“Del tubo al diagnóstico” (From the tube to the diagnosis) series: a biomarker reference, reference intervals and result verification for clinical chemists, quality managers and physicians. They run in the browser and the data you enter never leave your device. Content is in Spanish.
Open the section index →Reference
What each marker is, which tube it is drawn in, how it is stored and measured, why it rises or falls and how it is interpreted.
Statistical
Does the package-insert interval fit my population and my method? How do I build my own?
Statistical
Is this change between two results from the same patient real, an error or noise? Which limit and which window to use.
Section · Open Biostatistics
Explained calculators for clinical research: each one shows the classic equation, a plain explanation, a plain-language interpretation, the equivalent R code and the original sources. Compute, understand, cite. Your data never leave the browser.
Open the section index →Statistical
Sensitivity, specificity, predictive values and likelihood ratios from a 2×2 table; post-test probability with Fagan's nomogram.
Statistical
Relative risk, odds ratio, absolute risk reduction and NNT; chi-squared, Fisher's exact test and McNemar.
Statistical
Estimate a proportion or a mean, compare two proportions or two means, diagnostic precision (Buderer) and correlation, with power curves.
Statistical
Cohen's kappa, CI for a proportion (six methods) and for a mean, mean and SD from the median, descriptive statistics with a chart.
Statistical
Logistic regression, Cox, Kaplan-Meier with log-rank and linear regression, with real R running in the browser (webR).