title: [Comparison of three regression methods in the calculation of LA(50)].
abstract: OBJECTIVE
  To search for an optimal regression method for LA(50) in burn management.
  
  
  METHODS
  Three kinds of regression methods, i.e. linear regression, probability type probit regression and logic type probit regression. were employed to calculate the LA(50) and its 95% confidence interval (CI) from different burn data. The results produced by these three methods were compared with one another.
  
  
  RESULTS
  Three methods were used to calculate LA(50) of one sample with the same, different or evidently different LA(50), but the order of LA(50) from high to low values appeared to be the same (P > 0.05). When the 95% CI of LA(50) was calculated by three methods, significantly different results were obtained (P < 0.01), especially the 95% CI by linear regression was evidently different to that produced by two other kinds of probit regression (P < 0.01), while there was no difference in the 95% CI between the two probit regression methods (P > 0.05).
  
  
  CONCLUSIONS
  Different methods for the calculation of LA(50) and 95% CI came to different results. The LA(50) from different samples could only be compared as valid when the same calculation method was employed. Probit regression (logic type) seemed to be the best method in the calculation of LA(50) in terms of its simplicity, practicability and accuracy.
authors.affiliation: Department of Burns and Plastic Surgery, The 205th Hospital of PLA, JinZhou 121001 P.R. China.
authors.forename: Jie
authors.initials: J
authors.lastname: Xiao
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D002056:Burns / Q000401:mortality*; D002648:Child; D002675:Child, Preschool; D002681:China; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008875:Middle Aged; D012044:Regression Analysis; D013223:Statistics as Topic / Q000379:methods*; D015996:Survival Rate