Multivariate statistical analysis for pathologist. Part I, The logistic model.
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.
Vollmer
R T
RT
Department of Laboratory Medicine, VA Medical Center, Durham, NC 27705, USA.
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
D017430:Prostate-Specific Antigen