title: Multivariable regression analysis and other findings from the 1999 joint ASLAP/ACLAM economic survey of laboratory animal veterinarians.
abstract: Results from a 1999 economic survey of laboratory animal veterinarians were used to develop a multivariable linear regression model capable of predicting income in light of a large set of characteristics of veterinarians and their employers. When considered simultaneously, the variables of experience, supervisory responsibility, ACLAM board certification, geographic region, type of employer, size of animal facility, and job title provided the best model fit, in agreement with an earlier statistical model of income for persons in this profession. Aspects of the demographics of faculty appointments and secondary sources of professional income available to some laboratory animal veterinarians also were evaluated.
authors.affiliation: Fred Hutchinson Cancer Research Center, 1100 Fairview Ave North, Mailstop BE-114, Seattle, Washington, 98109, USA.
authors.forename: B J
authors.initials: BJ
authors.lastname: Weigler
authors.forename: M M
authors.initials: MM
authors.lastname: Slattum
mesh_terms: D000818:Animals; D000830:Animals, Laboratory; D003625:Data Collection; D004651:Employment; D007182:Income; D016014:Linear Models; D018634:Veterinarians; D014730:Veterinary Medicine / Q000191:economics; D000078329:Workforce