You are here:
Vanderbilt Biostatistics Wiki
>
Main Web
>
Seminars
>
WednesdaySeminarSeries
>
TuoLin01202023
(04 Jan 2023,
CierraStreeter
)
(raw view)
E
dit
A
ttach
%HEAD{ NAME="Tuo Lin, !PhD candidate" AFFILIATION="Division of Biostatistics and Bioinformatics<br>University of California, San Diego" TITLE="Novel Nonparametric Random-Forests-based and Semiparametric Models for Between-subject Attributes: Applications to Survey and Observational Studies and Beyond " IMAGELINK="https://ph.ucsd.edu/_images/biostat-images/biostat-currentstudents%20images/Student-profiles/Lin,%20Tuo%20F18.jpg" }% In modern statistical analysis, how to effectively analyze and interpret data with outliers is a challenging problem. Classical mean-based methods such as t-test and generalized linear model (GLM) generally yield uninterpretable results when applied to such data. Rank-based methods such as the Mann-Whitney-Wilcoxon Rank Sum Test (MWWRST) are effective alternatives. We have been developing a new regression paradigm of modeling “between-subject attributes” to allow the MWWRST for broader applications such as in survey data and causal inference as well as to model high-dimensional data such as microbiome beta diversity. These newly developed methods have wide applications in survey, observational and longitudinal studies. In this talk, I will first introduce the distinction between sampling weights in survey studies and “probability weights” in observational and longitudinal studies with missing data. Next, I will elucidate semiparametric methods of modeling between-subject attributes in survey studies along with a study of their efficiency. As machine learning methods have become unprecedently popular in the Big Data Era and motivated by a recent seminal work of Wager and Athey (2018) on asymptotic properties of random forests, I will end my talk by presenting our latest extension of random forests to between-subject attributes for non-parametric regression analysis, with an illustrative example for causal inference using the MWWRST. %TAIL{DATE="20 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
: r3
<
r2
<
r1
|
B
acklinks
|
V
iew topic
|
Edit
w
iki text
|
M
ore topic actions
Topic revision: r3 - 04 Jan 2023,
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