Iván Díaz

Origin of Antibiotics and Antibiotic Resistance, and Their Impacts on Drug Development: A Narrative Review

Causal Inference for a Population of Causally Connected Units

Marginal Structural Models with Counterfactual Effect Modifiers

The role of artificial intelligence in healthcare: a structured literature review

Comparison of massive blood transfusion predictive models in the rural setting

The Prospective, Observational, Multicenter, Major Trauma Transfusion (PROMMTT) Study

A Bibliometric Analysis of Heart Disease Detection using Artificial Intelligence Techniques: Trends, Influential Works, and Research Gaps

Artificial Intelligence for Antimicrobial Resistance Prediction: Challenges and Opportunities towards Practical Implementation

2021 Guideline for the Prevention of Stroke in Patients With Stroke and Transient Ischemic Attack: A Guideline From the American Heart Association/American Stroke Association

Double/debiased machine learning for treatment and structural parameters

Tailoring the Approach to Embolic Stroke of Undetermined Source

Data mining and machine learning techniques applied to public health problems: A bibliometric analysis from 2009 to 2018

Exactp-Values for Network Interference

Sensitivity Analysis for Causal Inference under Unmeasured Confounding and Measurement Error Problems

Variable Importance and Prediction Methods for Longitudinal Problems with Missing Variables

Machine learning in the estimation of causal effects: targeted minimum loss-based estimation and double/debiased machine learning

Estimating the Causal Impact of Proximity to Gold and Copper Mines on Respiratory Diseases in Chilean Children: An Application of Targeted Maximum Likelihood Estimation

Doubly robust inference for targeted minimum loss–based estimation in randomized trials with missing outcome data

Duration of Heightened Ischemic Stroke Risk After Acute Myocardial Infarction