Grant: Discovery Grants Program - Individual
Memorial University of Newfoundland
$18,000.00
Statistical Modelling for Adaptive Design of Clinical Trials: Optimality and Efficiency
EF 2021-22
Résumé
Clinical trial; Dependent data; estimation efficiency; Information gathering process; Markov process; Optimal randomization; Population heterogeneity; Q-learning; Response adaptive design; Statistical inference
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Newfoundland and Labrador, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2016-05221
Name nom
Yi, Yanqing
Department département
Faculty of Medicine
Organization id
89
Institution établissement
Memorial University of Newfoundland
Province en
Newfoundland and Labrador
Province fr
Terre-Neuve-et-Labrador
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2021
Competition year année de concours
2016
Award amount
18000
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
1508
Committee name en
Mathematics and Statistics
Committee name fr
Mathématiques et statistique
Area of application code
1211
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Medical and health sciences
Area of application fr
Sciences médicales et de la santé
Research subject code
3005
Research subject group en
Statistics and probability
Research subject group fr
Statistique et probabilité
Research subject en
Biostatistics
Research subject fr
Biostatistiques
Installment
inst:4
Partie
1
Nb partie
5
Application title
Statistical Modelling for Adaptive Design of Clinical Trials: Optimality and Efficiency
Keyword
NSERC
Application summary
Clinical trial; Dependent data; estimation efficiency; Information gathering process; Markov process; Optimal randomization; Population heterogeneity; Q-learning; Response adaptive design; Statistical inference
