The phrase "a generalized linear model for" is correct and usable in written English.
It can be used in contexts related to statistics, data analysis, or research when discussing a specific application or purpose of a generalized linear model.
Example: "We developed a generalized linear model for predicting the outcome of the clinical trial based on the collected data."
Alternatives: "a generalized linear model aimed at" or "a generalized linear model designed for".
In addition, once a clustering of SNPs is obtained, we design an individualized genetic score quantifying the SNP composition in each cluster for every subject, so that we can set up a generalized linear model for association analysis able to incorporate the information from a large-scale SNP dataset, and yet with a much smaller number of explanatory variables.
Firstly, a generalized linear model for the system is fitted using the measurement data.
A generalized linear model for binomially distributed data was fit to model the frequency of positive LC-MS/MS and Delvotest SP-NT results using the logit link.
Moreover, computer game experience was entered into a generalized linear model for human and avatar faces separately.
Results from a generalized linear model for non-normal data indicated that the presence/absence of Wolbachia, the day post-infection, MOI and the interaction between the three factors had a significant effect on viral titer (results not shown).
*Estimated by a generalized linear model for the binomial family with a log link.
A state-of-the-art method uses a negative binomial distribution in a generalized linear model framework for paired sample testing.
The logistic regression, a generalized linear model used for binomial regression, is used for prediction of the probability of occurrence of an event by fitting data to a logistic curve.
The effects of the variable of primary interest, physical therapy (pdPT), will be analysed in a generalized linear model (GLM) for group (intervention vs. control) analysis of covariance with adapted regression for count data distribution.
We modeled the functional relationship between sound stimuli and neuronal responses with a generalized linear model (GLM) for each neuron (see Figure 1A).
To compare serum 25OHD concentrations by case-control status or by tumor prognostic characteristics, we used a generalized linear model controlling for age, body mass index (BMI) and season of blood collection, which had independent effects on serum 25OHD concentrations (p<0.05).
