Bootstrap som hjälpmedel att öka noggrannheten och bedöma precisionen vid probitregression, med tillämpning på hörselmätningar
In many biomedical contexts, e. g. when evaluating hearing disorders, the data obtained can be described as pairs (x1, y1), …, (xn, yn) where x is a quantitative variable and y a 0/1 variable whose probability of taking the value 1 is a monotonic function of x. One way of analysing such data is to perform probit regression; thereby two parameters, b0 (= the constant) and b1 (= the slope) are estim
