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Peggy L. Peissig
University Of Wisconsin-Madison
$444,021
Attributed
$2,220,103
Total exposure
1
Grants
0
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 $608.1K · FY2015–18$1M$750K$500K$250K$0
'15
'16
'17
'18
Funding mix
By agency
NIH$2,220,103 · 1
By mechanism
R01$2,220,103 · 1
Top collaborators
- Michael Defoix Caldwell4 shared
- Richard A. Hansen4 shared
- Sriraam Natarajan4 shared
- C. David Page4 shared
Most similar at University Of Wisconsin-Madison
Same institution · by research overlap
- C. David Page$9,399,195
- Michael Santino Pulia$2,764,298
- Colin Noel Dewey$5,213,150
- Michelle Anne Chui$6,050,177
- Christopher J Crnich$1,846,942
Others in their field
Top investigators on “Discipline”
- Leonard Freedman · Leidos Biomedical Research, Inc.$270,520,687
- Steven E Reis · University Of Pittsburgh At Pittsburgh$235,379,739
- Lee Marshall Nadler · Dana-Farber Cancer Inst$192,833,951
- Philip J Disaia · University Of California Irvine$155,333,295
- Garret A Fitzgerald · University Of Pennsylvania$141,741,142
- Elizabeth A Thom · George Washington University$118,013,211
Research focus
DisciplineAdverse Drug EventDiagnosisAttentionAwardBaseBiometryAlgorithmsClinical DataClinical ResearchClinical TrialsCommunitiesComputer ScienceCongressesCostCountryClinicData AnalysesDatabasesData MiningData SetData SourcesDetectionDoctor Of Philosophy
Grant awards (4)
Machine Learning for Identifying Adverse Drug Events$536,041
R01 · FY2018 · GM
Machine Learning for Identifying Adverse Drug Events$536,041
R01 · FY2017 · GM
Machine Learning for Identifying Adverse Drug Events$539,889
R01 · FY2016 · GM
Machine Learning for Identifying Adverse Drug Events$608,132
R01 · FY2015 · GM