Purpose The targeted maximum likelihood estimation (TMLE) statistical data analysis
framework integrates machine learning, statistical theory, and statistical inference to provide …

The COVID-19 pandemic and the expectation of future pandemic threats have generated a
global dialogue on strengthening pandemic preparedness and response (PPR). Thus far …

Precision prevention embraces personalized prevention but includes broader factors such
as social determinants of health to improve cardiovascular health. The quality, quantity …

Introduction Cardiometabolic diseases (CMD) are the leading cause of death in high-income
countries and are largely attributable to modifiable risk factors. Population health …

Background Human immunodeficiency virus (HIV) treatment reduces tuberculosis (TB)
disease and mortality; however, the population-level impact of universal HIV-test-and-treat …

Background Fewer than 10% of people with hypertension in sub-Saharan Africa are
diagnosed, linked to care, and achieve hypertension control. We hypothesized that a one …

Hypertension is a significant global health problem, particularly in Sub-Saharan Africa
(SSA). Despite the effectiveness of medications and lifestyle interventions in reducing blood …

Background Human immunodeficiency virus (HIV) treatment reduces tuberculosis (TB)
disease and mortality; however, the population-level impact of universal HIV-test-and-treat …

Targeted maximum likelihood estimation (TMLE) is increasingly used for doubly robust
causal inference, but how missing data should be handled when using TMLE with data …

Millions of adults in low-and middle-income countries die from treatable conditions every
year. This paper highlights that an understaffed public healthcare system contributes to high …