Ongoing Project

Simplified Isoniazid Preventive Therapy Strategy to Reduce TB Burden (SPIRIT) SEARCH-IPT

Project Description/Goals:

CTML Faculty Involved: Dr. Laura Balzer

Targeted Learning using Adaptive Designs for HIV Epidemic Control in East Africa

Description: In the current HIV epidemic response, high variability in implementing contexts and epidemic settings demands epidemiological designs and analytic methods that are able to detect and respond to heterogeneity effectively and efficiently. This project leverages the rich data increasingly generated in the course of the HIV epidemic response and applies targeted machine learning to advance adaptive design and analytic approaches.

CTML Faculty Involved: Mark Van Der Laan Ph.D. | Maya Petersen M.D. Ph.D.

Causal Effects of Endogenous and Exogenous Risk Factors for Wasting

Scalable online super-learner for predicting health outcome phenotypes and an online scalable super learner of an optimal individualized treatment rule for improving these health outcomes. CTML members involved: Mark van der Laan Ph.D., Alan Hubbard Ph.D., Andrew Mertens Ph.D.

The overall goal of this grant would be to develop a scalable online super-learner for predicting health outcome phenotypes and an online scalable super learner of an optimal individualized treatment rule for improving these health outcomes. These will represent tools for the Gates Foundation...

Community Violence and Disparities in Maternal and Infant Health: Effects and Mechanisms

[description needed]

ICLIC-MS for Enhancing Outcomes Research and Clinical Care in Multiple Sclerosis

[description needed]

Enhancing Causal Inference in the Sentinel system: An Evaluation of Targeted Learning and Propensity Scores for Confounding Control in Drug Safety

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Joint Initiative for Causal Inference

International powerhouse for causal inference aimed at answering pressing statistical questions using both randomized control and observational studies. CTML members involved: Maya Petersen M.D. Ph.D. and Mark van der Laan Ph.D.

In collaboration with Novo Nordisk and Copenhagen University, we aim to create an international powerhouse for causal inference aimed at answering pressing statistical questions using both Randomized Control and Observational Studies.

The Causal...

Local Epidemic Modeling for the San Francisco Department of Public Health

New initiative to offer universal testing to students, staff, and faculty as they return to the UC Berkeley campus and to develop rapid response protocols and effective infection control. Local Epidemic Modeling for the San Francisco Department of Public Health CTML members involved: Maya Petersen M.D. Ph.D.

The project goal is to develop, test and validate a local epidemic modeling tool for evaluation of current epidemic status, short term projections of hospital resource use, and simulation-based evaluation of future...

Multi-sectorial Approach to Address Persistent Drivers of the HIV Epidemic in East Africa

The Sustainable East Africa Research in Community Health (SEARCH) consortium designs and tests evidence based treatment and prevention interventions that will guide a global effort to end AIDS using a multi-disease, multi-sector approach. What is SEARCH?

The SEARCH (Sustainable East Africa Research in Community Health) consortium is excited to announce a new 5 year, 23 million dollar NIH-funded...