title: [Comparison among various software for LMS growth curve fitting methods].
abstract: OBJECTIVE
  To explore the methods to realize the growth curve fitting of coefficients of skewness-median-coefficient of variation (LMS) using different software, and to optimize growth curve statistical method for grass-root child and adolescent staffs.
  
  
  METHODS
  Regular physical examination data of head circumference for normal infants aging 3, 6, 9 and 12 months in Baotou City were analyzed. Statistical software such as SAS, R, STATA and SPSS were used to fit the LMS growth curve and the results were evaluated upon the user 's convenience, study circle, user interface, results display forms, software update and maintenance and so on.
  
  
  RESULTS
  Growth curve fitting results showed the same calculation outcome and each of statistical software had its own advantages and disadvantages. With all the evaluation aspects in consideration, R software excelled others in LMS growth curve fitting.
  
  
  CONCLUSIONS
  R software have the advantage over other software in grass roots child and adolescent staff.
authors.forename: Lin
authors.initials: L
authors.lastname: Han
authors.forename: Wenhong
authors.initials: W
authors.lastname: Wu
authors.forename: Qiuxia
authors.initials: Q
authors.lastname: Wei
mesh_terms: D000293:Adolescent; D000886:Anthropometry / Q000295:instrumentation / Q000379:methods*; D002648:Child; D002657:Child Development / Q000502:physiology*; D005260:Female; D006801:Humans; D007223:Infant; D008297:Male; D010829:Physiological Phenomena; D012016:Reference Values; D015203:Reproducibility of Results; D012984:Software