Sentence examples for a generalized logit model for from inspiring English sources

Odds ratios were calculated using a generalized logit model for probabilities of the three ACR categories (9).

Therefore, participation was analyzed as a nominal variable, and a generalized logit model for nominal outcomes was fit [ 16].

We derive a generalized logit model of the mother' planned and actual family formation outcomes, allowing for her to choose no father involvement, father involvement, co-habitation, and marriage.

If the proportional odds assumption was violated, a generalized logit model (which generates an odds ratio for the comparison between each level and the reference category) was used.

The data were analyzed using a multinomial logit model, sometimes referred to as a generalized logit model (Allison, 1999; Hosmer & Lemeshow, 2000; McFadden, 1973).

In order to distinguish among the clusters we constructed a generalized logit model using cluster as values of the multinomial dependent variable and other behavioral, demographic, program, and attitudinal variables as candidate variables for the construction of the generalized logit model (Hosmer and Lemeshow 2000; McFadden 1974).

We used multinomial logistic regression analyses with a generalized logit model to calculate the age-and gender-adjusted odds ratios (ORs) and 95%confidence intervals (CI) for 3-level physical functional limitations by education level [ 19].

A generalized logit model was constructed comparing ever having used both amphetamine and Viagra together and separately, as compared to never having used either (referent).

Non-parametric χ statistics, generalized logit model for multinomial data, and one-way analysis of variance was used for statistical analyses.

The relationship between type of lumbosacral junction and relative length of L6/L7 was investigated with generalized logit model for multinomial data.

To explore gender-specific differences in socio-demographic factors associated with weight misperception, the generalized logit model (PROC SURVEYLOGISTIC in SAS) was used, after accounting for primary sample units, stratification, and sample weights from the KNHANES.