title: Multivariate statistical analysis for pathologist. Part I, The logistic model.
abstract: This paper reviews concepts of multivariate statistical modeling via the logistic regression model, which has become very popular for modeling the relationship between a positive clinical outcome and a variety of predictor variables. The process is illustrated using a composite of data from three large prostate specific antigen based screening studies of prostate cancer.
authors.affiliation: Department of Laboratory Medicine, VA Medical Center, Durham, NC 27705, USA.
authors.forename: R T
authors.initials: RT
authors.lastname: Vollmer
mesh_terms: D016002:Discriminant Analysis; D006801:Humans; D016015:Logistic Models; D008297:Male; D008403:Mass Screening; D015999:Multivariate Analysis; D017063:Outcome Assessment, Health Care / Q000706:statistics & numerical data*; D017430:Prostate-Specific Antigen / Q000032:analysis; D011471:Prostatic Neoplasms / Q000175:diagnosis
chemical_list: D017430:Prostate-Specific Antigen