Mathematical Sciences: Presidential Young Investigator Award
{'Code': '03040107', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}
{'SignBlockName': 'Alan Izenman', 'PO_EMAI': None, 'PO_PHON': None}
The research interests of the investigator deal with various               aspects of sequential analysis.  Sequential survival analysis                   makes it possible to construct sequential tests of known size and               power under the frequently used Cox proportional hazards model                  for the data.  As a special case of sequential experimental                     design, one can find the drug dose which will produce a certain                 response with a specified probability and find the stress level                 which will cause a specified percentage of components to fail.                  Observed significance levels for tests of hypothesis are commonly               used as judging criteria by the frequentists.  Bayesian analysis                for lower bounds on the evidence against the null hypothesis                    shows that the observed significance levels typically give a very               misleading impression as to the actual evidence in the data.                    Professor Sellke has already published several results in all of                the above areas.  He will continue his work in them.
{'FirstName': 'Thomas', 'LastName': 'Sellke', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Thomas M Sellke', 'EmailAddress': 'tsellke@stat.purdue.edu', 'NSF_ID': '000291189', 'StartDate': '02/08/1994', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Purdue Research Foundation', 'CityName': 'WEST LAFAYETTE', 'ZipCode': '479064353', 'PhoneNumber': '3174946200', 'StreetAddress': '1281 WIN HENTSCHEL BLVD STE 2500', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Indiana', 'StateCode': 'IN', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'IN04', 'ORG_UEI_NUM': 'C1G1LGYJF5G5', 'ORG_LGL_BUS_NAME': 'PURDUE RESEARCH FOUNDATION', 'ORG_PRNT_UEI_NUM': 'YRXVL4JYCEF5'}
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{'Code': '1269', 'Text': 'STATISTICS'}
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