Polynomials with asymptotes for longitudinal data

Stat Med. 1996 Jan 15;15(1):61-74. doi: 10.1002/(SICI)1097-0258(19960115)15:1<61::AID-SIM140>3.0.CO;2-R.

Abstract

I use Laguerre polynomials to model growth curves or time--response curves known to approach an asymptote as time approaches infinity. An example is with measurements on a variable or variables from subjects recovering from surgery. These variables can often vary in a non-monotonic fashion for which a functional form of the curve is unknown. Using a longitudinal data mixed model, one can include in the model random subject effects, within-subject serial correlation and fixed or time varying covariates. I present two examples that involve groups of subjects recovering from surgery.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Anterior Cruciate Ligament / surgery
  • Anterior Cruciate Ligament Injuries
  • Bias
  • Data Interpretation, Statistical*
  • Effect Modifier, Epidemiologic
  • Humans
  • Likelihood Functions*
  • Linear Models*
  • Liver Transplantation
  • Longitudinal Studies*
  • Mathematics
  • Software
  • Time Factors
  • Treatment Outcome