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Yi Li

University Of Michigan At Ann Arbor

$6,749,731
Attributed
$7,624,902
Total exposure
7
Grants
6
Lead (contact PI)

Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.

Funding over time

peak $1M · FY200525
$2M$1.5M$1M$500K$0
'05
'06
'07
'08
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25

Funding mix

By agency

NIH$7,624,902 · 7

By mechanism

R01$4,858,199 · 3
T32$1,291,039 · 1
R21$763,356 · 2
P01$712,308 · 1

Top collaborators

Most similar at University Of Michigan At Ann Arbor

Same institution · by research overlap

Others in their field

Top investigators on “Methodology

Research focus

MethodologyMalignant NeoplasmsComputer SoftwareBasePlayDatabasesResearch PersonnelInterestObservational StudyProceduresTheoriesFlexibilityStructureRisk FactorsCohortStatistical MethodsComplexSurvival AnalysisData AnalysesGeneticDesignLinkOpen SourceDana-Farber Cancer Institute

Grant awards (31)

New Statistical Methods for Modelling Cancer Outcomes$418,516
R01 · FY2025 · CA · contact PI
Causal Machine Learning in Cancer Survival by Integrating Multiple High-Dimensional Observational Studies$329,855
R01 · FY2025 · CA · contact PI
New Statistical Methods for Modelling Cancer Outcomes$325,366
R01 · FY2024 · CA · contact PI
Detecting racial disparities in cancer survival by integrating multiple high-dimensional observational studies$314,275
R01 · FY2024 · CA · contact PI
New Statistical Methods for Modelling Cancer Outcomes$336,060
R01 · FY2023 · CA · contact PI
Detecting racial disparities in cancer survival by integrating multiple high-dimensional observational studies$325,483
R01 · FY2023 · CA · contact PI
Detecting racial disparities in cancer survival by integrating multiple high-dimensional observational studies$358,967
R01 · FY2022 · CA · contact PI
New Statistical Methods for Modelling Cancer Outcomes$340,341
R01 · FY2022 · CA · contact PI
New Statistical Methods for Modelling Cancer Outcomes$365,410
R01 · FY2021 · CA · contact PI
Functional Regression and Subgroup Analysis for Asynchronous Longitudinal Data.$184,129
R21 · FY2019 · AG
Functional Regression and Subgroup Analysis for Asynchronous Longitudinal Data.$237,633
R21 · FY2018 · AG
NEW STATISTICAL METHODS FOR CANCER SURVEILLANCE$147,401
P01 · FY2012 · CA · contact PI
Integrated Analysis of High Throughput Cancer Genomic Data$116,267
R21 · FY2012 · CA · contact PI
Biometry/Epidemiology Training Grant in Biostatistics$463,588
T32 · FY2011 · CA · contact PI
Integrated Analysis of High Throughput Cancer Genomic Data$202,038
R21 · FY2011 · CA · contact PI
NEW STATISTICAL METHODS FOR CANCER SURVEILLANCE$149,248
P01 · FY2011 · CA · contact PI
Community-Based Studies in Cancer and Environment$131,361
R01 · FY2011 · CA · contact PI
Community-Based Studies in Cancer and Environment$67,543
R01 · FY2011 · CA · contact PI
Integrated Analysis of High Throughput Cancer Genomic Data$23,289
R21 · FY2011 · CA · contact PI
Biostatistics/Epidemiology Training Grant in Biostatistics$394,672
T32 · FY2010 · CA · contact PI
Community-Based Studies in Cancer and Environment$205,147
R01 · FY2010 · CA · contact PI
NEW STATISTICAL METHODS FOR CANCER SURVEILLANCE$155,580
P01 · FY2010 · CA · contact PI
Biostatistics/Epidemiology Training Grant in Biostatistics$432,779
T32 · FY2009 · CA · contact PI
Community-Based Studies in Cancer and Environment$205,237
R01 · FY2009 · CA · contact PI
NEW STATISTICAL METHODS FOR CANCER SURVEILLANCE$154,477
P01 · FY2009 · CA · contact PI
Community-Based Studies in Cancer and Environment$205,323
R01 · FY2008 · CA · contact PI
NEW STATISTICAL METHODS FOR CANCER SURVEILLANCE$105,602
P01 · FY2008 · CA · contact PI
Community-Based Studies in Cancer and Environment$198,290
R01 · FY2006 · CA · contact PI
Community-Based Studies in Cancer and Environment$243,675
R01 · FY2005 · CA
Community-Based Studies in Cancer and Environment$243,675
R01 · FY2004 · CA
Community-Based Studies in Cancer and Environment$243,675
R01 · FY2003 · CA