You are here:
Vanderbilt Biostatistics Wiki
>
Main Web
>
Seminars
>
WednesdaySeminarSeries
>
LarryHan01132023
(20 Dec 2022,
CierraStreeter
)
(raw view)
E
dit
A
ttach
%HEAD{ NAME="Larry Han, !PhD Candidate" AFFILIATION="Harvard University, Department of Biostatistics" TITLE="The Blessings of Federation for Causal Inference" IMAGELINK="https://cdn1.sph.harvard.edu/wp-content/uploads/sites/59/2021/03/Larry-Han.jpeg" }% Federated learning of causal estimands may greatly improve estimation efficiency by leveraging data from multiple study sites, but robustness to heterogeneity and model misspecifications is vital for ensuring validity. In this talk, I will discuss a novel Federated Adaptive Causal Estimation (FACE) framework to incorporate heterogeneous data from multiple sites to provide treatment effect estimation and inference for a flexibly specified target population of interest. FACE accounts for site-level heterogeneity in the distribution of covariates through density ratio weighting. To safely incorporate source site information and avoid negative transfer, I will introduce an adaptive weighting procedure via a penalized regression, which achieves both consistency and optimal efficiency. FACE is communication-efficient and privacy-preserving, allowing participating sites to only share summary statistics once with other sites. I will show both theoretical and numerical evaluations of FACE and apply it to conduct a comparative effectiveness study of BNT162b2 (Pfizer) and mRNA-1273 (Moderna) vaccines on COVID-19 outcomes in U.S. veterans using electronic health records from five VA regional sites. I will also discuss a few extensions of FACE, namely 1) identifying subgroups and providing inference for heterogeneous treatment effects using federated trees, and 2) making robust inference for a prevailing model when no target outcome data exists, and 3) incorporating transfer learning to estimate treatment effects for underrepresented populations %TAIL{DATE="13 January 2023"}% <!-- * Set HEAD = <div class="w3-card-2" id="task" style="max-width:750px; margin-left: 0px;"> <header class="w3-container w3-blue" style="padding:40px"><h1>Biostatistics Weekly Seminar</h1><br><h2 style="color:white;">%TITLE%<br><br>%NAME%<br>%AFFILIATION%</h2></header><div class="w3-container" style="padding:40px"><IMG SRC=%IMAGELINK% align="left" id="mug"/> * Set TAIL = <br><h3>Hybrid: Meeting Room and Zoom Link to Follow<br>%DATE%<br>1:30pm</h3></div></div><br>[[%TOPIC%Itinerary][Speaker Itinerary]] --> <style> .w3-card-2,.w3-example{box-shadow:0 2px 4px 0 rgba(0,0,0,0.16),0 2px 10px 0 rgba(0,0,0,0.12)!important} .w3-blue,.w3-hover-blue:hover{color:#fff!important;background-color:#2196F3!important} .w3-container{padding:0.01em 16px} .foswikiTopic {font-family: 'Open Sans', sans-serif;} /* Removes location hierarchy (usually written in grey text) */ .patternHomePath {display:none;} /* Removes bar with edit and attach buttons and location hierarchy */ .patternTop{display:none;} h1, h2, h3, h4, h5, h6{font-family: 'Montserrat','Open Sans', sans-serif;font-weight:700;} h1, h2, h3, h4, h5, h6{color:#bf1735;} h1:first-of-type{color:#2a3e6e;margin-bottom:25px;margin-top:5px;} .foswikiImage{margin-left:-9px;} img#mug{padding-right: 40px; padding-bottom:25px; height:250px;} </style>
E
dit
|
A
ttach
|
P
rint version
|
H
istory
: r1
|
B
acklinks
|
V
iew topic
|
Edit
w
iki text
|
M
ore topic actions
Topic revision: r1 - 20 Dec 2022,
CierraStreeter
Main
Department Home Page
Biostatistics Graduate Program
Vanderbilt University Medical Center
Main Web
Main Web Home
Search
Recent Changes
Changes
Topic list
Biostatistics Webs
Archive
Main
Sandbox
System
Register
|
Log In
Copyright © 2013-2022 by the contributing authors. All material on this collaboration platform is the property of the contributing authors.
Ideas, requests, problems regarding Vanderbilt Biostatistics Wiki?
Send feedback