Answer :
It is correct that multiple logistic regression, confounding is assessed by computing the change in parameter
What is logistic regression?
The logistic model in statistics is a statistical model that depicts the likelihood that an event will https://brainly.com/question/22098213 by making the event's log-odds a linear combination of one or more independent variables. In regression analysis, logistic regression is used to estimate a logistic model's parameters.
In logistic regression, the logistic model is used to predict a binary outcome, such as the probability of an event occurring or not occurring. The model estimates the probability of the event occurring as a function of one or more predictor variables, which are also known as independent variables or covariates.
The logistic model is based on the logistic function, which is a sigmoid curve that maps any real-valued number to a value between 0 and 1. In the logistic model, the log-odds of the event occurring (also known as the logit) is modeled as a linear combination of the predictor variables.
In logistic regression, the coefficients of the model are estimated using maximum likelihood estimation, which is a statistical method that finds the set of coefficients that maximizes the likelihood of the observed data given the model.
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