title: The second best in statistics.
abstract: When estimating a parameter, it may not be possible to remove all sources of bias. Yet a priori we do not know whether eliminating some sources will improve or worsen the estimate.
authors.affiliation: Department of Health Policy and Management, Harvard School of Public Health, Boston, MA 02115.
authors.forename: D
authors.initials: D
authors.lastname: Hemenway
mesh_terms: D015982:Bias; D004467:Economics; D006801:Humans; D008962:Models, Theoretical; D013223:Statistics as Topic