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The PROBIT Procedure

Chapter 54 The PROBIT ProcedureChapter Table of the Natural Response Threshold Parameter ..2843 OUTPUTS tatement ..2846 WEIGHTS tatement ..2847 Response Level Ordering ..2847 ComputationalMethod ..2851 Tolerance Distribution ..2852 InverseConfidenceLimits ..2852 OUTEST= Data ..2854 ODST ableNames .. Multilevel Response ..2865 Example Logistic Regression .. Chapter 54. The PROBIT ProcedureSAS OnlineDoc : Version 8 Chapter 54 The PROBIT ProcedureOverviewThe PROBIT Procedure calculates maximum likelihood estimates of regression pa-rameters and the natural (or threshold) response rate for quantal response data frombiological assays or other discrete event data. This includes PROBIT , logit, ordinallogistic, and extreme value (or gompit) regression analysis developed from the need to analyze qualitative (dichotomous or poly-tomous) dependent variables within the regression framework.

Notice that PROC PROBIT, by default, models the probability of the lower response levels. The choice of the distribution function F (normal for the probit model, logistic for the logit model, and extreme value or Gompertz for the gompit model) determines the type of analysis. For most problems, there is relatively little difference between

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