TMLE

Causal Effect Estimation with TMLE: Handling Missing Data and Near-Violations of Positivity

Personalized strategies for high-risk acute pulmonary embolism: addressing the 'catastrophic' subgroup

Guidelines and Best Practices for the Use of Targeted Maximum Likelihood and Machine Learning When Estimating Causal Effects of Exposures on Time-To-Event Outcomes

Management of high-risk acute pulmonary embolism: an emulated target trial analysis

Post-traumatic stress disorder as a risk factor for major adverse cardiovascular events: a cohort study of a South African medical insurance scheme

Estimating the Effect of Central Bank Independence on Inflation Using Longitudinal Targeted Maximum Likelihood Estimation

Recently, there has been a lot of interest and discussion about the use of causal inference in economics. Whether it is feasible and whether there are benefits of working with a directed acyclic graph (DAG) and a non-parametric structural equation framework, is one aspect of the debate.

The impact of same-day antiretroviral therapy initiation under the WHO Treat-All policy

The impact of delayed switch to second-line antiretroviral therapy on mortality, depending on failure time definition and CD4 count at failure

Using Longitudinal Targeted Maximum Likelihood Estimation in Complex Settings with Dynamic Interventions

The Effect of Electrical Load Shedding on Pediatric Hospital Admissions in South Africa

The Republic of South Africa (SA) faced repeated episodes of temporary power shutdowns in 2014/2015, but also in the years thereafter. Based on my co-author’s experience at the burns unit at Red Cross children’s hospital, we had the hypothesis that this may have caused an increase in pediatric hospital admissions.