C
Christopher J. O'Donnell
Researcher at VA Boston Healthcare System
Publications - 914
Citations - 140860
Christopher J. O'Donnell is an academic researcher from VA Boston Healthcare System. The author has contributed to research in topics: Framingham Heart Study & Genome-wide association study. The author has an hindex of 159, co-authored 869 publications receiving 126278 citations. Previous affiliations of Christopher J. O'Donnell include Brown University & Veterans Health Administration.
Papers
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Book ChapterDOI
Measures of Efficiency
TL;DR: This chapter discusses various output-oriented technical efficiency and productivity-oriented measures of efficiency, which can be viewed as ex post measures of how well firm managers have solved different optimisation problems.
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Estimating State-Contingent Production Frontiers
TL;DR: In this article, the authors show that fixed and random effects state-contingent production frontiers can be conveniently estimated in a finite mixtures framework, which produces significantly different estimates of elasticities, firm technical efficiencies and other quantities of economic interest.
Journal ArticleDOI
Whole exome sequencing of 14 389 individuals from the ESP and CHARGE consortia identifies novel rare variation associated with hemostatic factors.
Nathan Pankratz,Peng Wei,Jennifer A. Brody,Ming-Huei Chen,Paul S. de Vries,Jennifer E. Huffman,Mary Rachel Stimson,Paul L. Auer,Eric Boerwinkle,Mary Cushman,Moniek P.M. de Maat,Aaron R. Folsom,Oscar H. Franco,Richard A. Gibbs,Kelly K. Haagenson,Albert Hofman,Jill M. Johnsen,Christie Kovar,Robert Kraaij,Barbara McKnight,Ginger A. Metcalf,Donna M. Muzny,Bruce M. Psaty,Weihong Tan,André G. Uitterlinden,J. G. J. Rooij,Abbas Dehghan,Christopher J. O'Donnell,Alexander P. Reiner,Alanna C. Morrison,Nicholas L. Smith +30 more
TL;DR: These efforts represent the largest integration of whole exome sequence data from two national projects to identify genetic variation associated with plasma hemostatic factors.
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Testing for Market Power in the Australian Grains and Oilseeds Industries: Further Results
TL;DR: In this article, the authors specify a general duality model of profit maximisation that allows for imperfect competition in the input and output markets of the grains and oilseeds industries, which can be regarded as a generalisation of several models appearing in the agricultural economics and industrial organisation literatures.