Four link functions are available in the LOGISTIC procedure. The logit function is the default. To specify a different link function, use the LINK= option in the MODEL statement. The link functions and the corresponding distributions are as follows:
The logit function

is the inverse of the cumulative logistic distribution function, which is

The probit (or normit) function

is the inverse of the cumulative standard normal distribution function, which is

Traditionally, the probit function contains the additive constant 5, but throughout PROC LOGISTIC, the terms probit and normit are used interchangeably.
The complementary loglog function

is the inverse of the cumulative extremevalue function (also called the Gompertz distribution), which is

The generalized logit function extends the binary logit link to a vector of levels by contrasting each level with a fixed level

The variances of the normal, logistic, and extremevalue distributions are not the same. Their respective means and variances are shown in the following table:
Distribution 
Mean 
Variance 

Normal 
0 
1 
Logistic 
0 

Extremevalue 


Here is the Euler constant. In comparing parameter estimates from different link functions, you need to take into account the different scalings of the corresponding distributions and, for the complementary loglog function, a possible shift in location. For example, if the fitted probabilities are in the neighborhood of 0.1 to 0.9, then the parameter estimates from the logit link function should be about larger than the estimates from the probit link function.