       Document 0707
 DOCN  M9610707
 TI    Dose-response and trend analysis in epidemiology: alternatives to
       categorical analysis [see comments]
 DT    9601
 AU    Greenland S; Department of Epidemiology, UCLA School of Public Health;
       90095-1772, USA.
 SO    Epidemiology. 1995 Jul;6(4):356-65. Unique Identifier : AIDSLINE
       MED/96039979
 CM    Comment in: Epidemiology 1995 Jul;6(4):345-7
 AB    Standard categorical analysis is based on an unrealistic model for
       dose-response and trends and does not make efficient use of
       within-category information. This paper describes two classes of simple
       alternatives that can be implemented with any regression software:
       fractional polynomial regression and spline regression. These methods
       are illustrated in a problem of estimating historical trends in human
       immunodeficiency virus incidence. Fractional polynomial and spline
       regression are especially valuable when important nonlinearities are
       anticipated and software for more general nonparametric regression
       approaches is not available.
 DE    Biometry/*METHODS  Confidence Intervals  *Epidemiologic Methods  Human
       HIV Infections/EPIDEMIOLOGY  Incidence  Logistic Models  Los
       Angeles/EPIDEMIOLOGY  *Models, Statistical  *Risk Assessment  Support,
       Non-U.S. Gov't  JOURNAL ARTICLE

       SOURCE: National Library of Medicine.  NOTICE: This material may be
       protected by Copyright Law (Title 17, U.S.Code).

