.- help for ^predcalc^ (JMGarrett 12/06/99) .- Predicted Values ---------------- ^predcalc^ yvar [^if^ exp], ^x^var^(^xlist^)^ [^m^odel ^lin^ear ^l^evel^(^#^)^] ^predcalc^ calculates predicted values and confidence intervals from linear or logistic regression model estimates for user specified values for the X variables. Variables and options required ------------------------------ yvar -- dependent variable If yvar is continuous, defaults to linear regression If yvar is binary (0,1), defaults to logistic regression ^xvar(^x1=# x2=# ...^)^ -- list of X variables and value each is assigned. For example: xvar(age=50 gender=1 sbp=160) Options allowed --------------- ^model^ -- displays regression table ^linear^ -- requests linear regression when yvar is binary (0,1); if not specified, logistic regression is assumed ^level(^#^)^ -- specifies the confidence level, in percent, for calculation of confidence intervals of predicted values (default=95%) Examples -------- . ^predcalc chol, xvar(gender=1 sys=120 age=35)^ Uses linear regression to calculate the predicted cholesterol value for a 35 year old male with systolic blood pressure of 120 . ^predcalc htn, xvar(smoker=1 gender=0 age=65) model^ Uses a logistic regression model to calculate the predicted probability of being hypertensive for a 65 year old women who smokes; the logistic regression table is printed.