Methods and applications

Tools of the Research Group

Teaching

Medical microbiological diagnosis

An interactive Microbiology I course material, from specimen to result, with simulators, cases and self-assessment.

HTMLSVGJavaScript
Infectious Disease Epidemiology Active

Statistical

Evidence-based physical diagnosis

A finder for physical examination signs with their measured diagnostic performance.

PythonJavaScriptPubMedCrossref
Clinical, Epidemiological, and Translational Active

Teaching

VIROLOGY

An active-learning tool for medical virology.

HTMLSVGJavaScript
Infectious Disease Epidemiology Active

Statistical

Bayesian WISCA

Weighted-incidence syndromic combination antibiograms (WISCA) with Bayesian modeling — the right antibiotic from the first dose.

RbrmsStanHTMLJavaScript
Infectious Disease Epidemiology Active

Predictive

Dengue Forecast

Probabilistic dengue forecasting and early warning for all 32 states of Mexico.

RGradient boostingBayesianConformal prediction
Infectious Disease Epidemiology Beta

Pipeline

Microbial genomics pipeline (WGS)

Assembly, typing, and genotypic resistance from sequencing data.

NextflowSPAdesABRicatePython
Molecular Biology and Biomarkers Active

Statistical

Epidemiological time series

Disease trends, seasonality, and the reproduction number.

REpiEstimforecast
Population Data Science Active

Statistical

Spatial analysis and population-level determinants

Spatial autocorrelation and determinants at the municipal scale.

Rsfspdep
Population Data Science In development

Stack R · Python · Stan / brms · sf · spdep · EpiEstim · Nextflow · tidyverse

Section · Clinical laboratory

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.

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Reference

From the tube to the diagnosis: a 60-biomarker 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.

HTMLJavaScriptCLSIEFLM
Clinical, Epidemiological, and Translational Active

Statistical

Reference intervals: verify, establish and transfer

Does the package-insert interval fit my population and my method? How do I build my own?

JavaScriptCLSI EP28Harris–BoydrefineR
Population Data Science Active

Statistical

Delta check: comparing the patient with themself

Is this change between two results from the same patient real, an error or noise? Which limit and which window to use.

JavaScriptCLSI EP33EFLMRCV
Clinical, Epidemiological, and Translational Active

Section · Open Biostatistics

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.

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Statistical

Open Biostatistics: diagnostic tests

Sensitivity, specificity, predictive values and likelihood ratios from a 2×2 table; post-test probability with Fagan's nomogram.

TypeScriptRwebR
Clinical, Epidemiological, and Translational Beta

Statistical

Open Biostatistics: association and effect in 2×2 tables

Relative risk, odds ratio, absolute risk reduction and NNT; chi-squared, Fisher's exact test and McNemar.

TypeScriptRwebR
Clinical, Epidemiological, and Translational Beta

Statistical

Open Biostatistics: sample size and power

Estimate a proportion or a mean, compare two proportions or two means, diagnostic precision (Buderer) and correlation, with power curves.

TypeScriptRwebR
Clinical, Epidemiological, and Translational Beta

Statistical

Open Biostatistics: agreement and descriptive statistics

Cohen's kappa, CI for a proportion (six methods) and for a mean, mean and SD from the median, descriptive statistics with a chart.

TypeScriptRwebR
Clinical, Epidemiological, and Translational Beta

Statistical

Open Biostatistics: regression and survival models

Logistic regression, Cox, Kaplan-Meier with log-rank and linear regression, with real R running in the browser (webR).

TypeScriptRwebR
Clinical, Epidemiological, and Translational Beta