---------------------------------------------------------------------------- help for predcalc (JMGarrett 12/06/99) ----------------------------------------------------------------------------Predicted Values ----------------
predcalc yvar [if exp], xvar(xlist) [model linear level(#)]
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.