The phrase "a probit link" is correct and usable in written English.
It is typically used in statistical contexts, particularly in reference to a type of regression model that uses a probit link function to model binary outcome variables.
Example: "In our analysis, we employed a probit link to estimate the probability of success based on the independent variables."
Alternatives: "a probit function" or "a probit model".
Curves were estimated using a generalised linear model (glm) with a binomial distribution and a "probit" link function.
A probit link was then fitted to the data where the probit knockdown was a function of the logarithm of times for each strain.
Estimates of heritabilities for laminitis, dermatitis digitalis, dermatitis interdigitalis, white line disease, and sole ulcer were 0.09, 0.14, 0.10, 0.11, and 0.06 when applying a threshold model with a probit link function.
The relationship between the rate of attack of a flower (or a leaf) and the treatment was modeled with a GLM using a probit link [49].
The analytical framework we used was a general linear model (package "glm" in R 2.7.1) with a probit link because the regressions we run here involve binary outcomes.
To do this we use a general linear model framework with a probit link (details of the model can be found in Materials and Methods).
We modeled the rate at which the petals of flowers were attacked by defoliating insects with a generalized linear model (GLM) using an ordinal probit link function of the treatment.
In addition, the parameter estimates in non-linear mixed models using a logit or probit link are inherently scaled to the predictors (and mediators) included in the model.
When individual patient data are modelled, then depending on the outcome variable it may be appropriate to use the linear predictor in a generalized linear (mixed) model [GL(M M], e.g., when the response is binomial so that a logit or probit link is required.
The survival rate was compared by a logistic regression, which is a Generalized Linear Model using probit link and a binomial error function.
Stem form was modelled as an ordinal trait with a generalized model with probit link and residual variance (V R ) fixed to one by convention (e.g. Reid et al. 2011).
