Grant: Discovery Grants Program - Individual
University of Regina
$12,000.00
Topics in design and regression analysis with imcomplete data
EF 2007-08
Résumé
In health, medicine and science in general, incomplete data, either by design or happenstance, often occurs. The primary objectives of my research program are to investigate efficient statistical methods for the analysis of incomplete data and to develop optimal design strategies to minimize the cost of data collection. Specific areas of focus are semiparametric maximum likelihood models and two-phase sampling design. The research will develop design and regression analysis procedures in areas that involve incomplete data. The expected significance of the work will be in providing new, simple methods that are just as (or more) efficient than relatively complicated approaches.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Saskatchewan, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
327037-2006
Name nom
Zhao, Yang
Department département
Mathematics and Statistics
Organization id
17
Institution établissement
University of Regina
Province en
Saskatchewan
Province fr
Saskatchewan
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2007
Competition year année de concours
2006
Award amount
12000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
14
Committee name en
Statistical Sciences
Committee name fr
Statistique
Area of application code
1101
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Human health (including medically-related psychological research)
Area of application fr
Santé publique (y compris recherche psychologique liée à la médecine)
Research subject code
3004
Research subject group en
Statistics and probability
Research subject group fr
Statistique et probabilité
Research subject en
Applied statistics
Research subject fr
Statistique appliquée
Partie
2
Nb partie
3
Application title
Topics in design and regression analysis with imcomplete data
Keyword
NA
Application summary
In health, medicine and science in general, incomplete data, either by design or happenstance, often occurs. The primary objectives of my research program are to investigate efficient statistical methods for the analysis of incomplete data and to develop optimal design strategies to minimize the cost of data collection. Specific areas of focus are semiparametric maximum likelihood models and two-phase sampling design. The research will develop design and regression analysis procedures in areas that involve incomplete data. The expected significance of the work will be in providing new, simple methods that are just as (or more) efficient than relatively complicated approaches.
