logit

(redirected from Logit function)

lo·git

(lō'git),
The logarithm of the ratio of frequencies of two different categoric and mutually exclusive outcomes such as healthy and sick.
Mentioned in ?
References in periodicals archive ?
Therefore, four combinations are selected to perform the multivariate analysis with logit function.
To estimate odds ratios (ORs) for failure of each individual test condition, we conducted multinomial logit regression analyses using the generalized logit function (GLOGIT) of PROC SURVEYLOGISTIC (SAS Institute Inc.
Specifically, for each year Y in the sample, the impact of each explanatory variable i is calculated as the difference between the logit function [PHI] where, for one variable i, the overall mean is substituted by its mean value in year Y (the values of all other variables remain at their overall mean values) and the logit function where all variables are at their overall mean values.
The available data were analyzed and a logit function extracted with a good fit to the survey data.
To determine differences in failure probabilities between sites and tree type in which nests were located, we analyzed the data with a linear generalized model (GENMOD), assuming a binominal distribution and a logit function (SAS Institute, Inc.
For interspeciftc comparisons, data from each species and sperm density treatment were grouped by contact time and the proportion of eggs fertilized (P) transformed using the logit function (Finney 1978, Hewlett & Plackett 1979) where logit (P) = ln(P/1 - P).
The dose response data were analysed using a model based on the logit function (Hosmer and Lemeshow 1989) in SigmaPlot, SPSS Inc.
First, one can test whether ethnicity and language simply shifts the logit function up or down by an intercept shifter (e.
where i indexes individuals, j indexes industries, t indexes time, and f is the logit function.
choice of insurance product, has no inherent ordering, the authors estimate Equation (1) as a generalized logit function (Greene, 1990; Kennedy, 1992; Long, 1997; Stokes, Davis, and Koch, 1998).