Sentence examples for a dynamic logistic regression model from inspiring English sources

The data are analyzed using a dynamic logistic regression model.

We model the effect of adherence history on the risk of death at the individual level (odds ratios from a fitted dynamic logistic regression model) and at the population level (population attributable fraction, PAF) using the estimated model parameters.

Although the survival under optimal adherence is unknown in this context, the major advantage of the dynamic logistic regression model is that it can be estimated.

This analysis using dynamic logistic regression model enabled us to assess the full effect of adherence on mortality without confounding from factors on the causal pathway.

We studied the effect of recent adherence history on the risk of death at the individual level (odds ratios from dynamic logistic regression model), and on mortality at the population level (population attributable fraction based on this model).

The result of this dynamic-empirical analysis is a logistic regression model fit relating local surface wetness to subsequent mosquito species abundances.

Similarly, a Logistic regression model was used to analyse the use of a dynamic splint again with adjustment for recruiting hospital and surgery type.

The data were analysed using a mixed logistic regression model.

Risk factors were evaluated by a multivariate logistic regression model.

A multiple logistic regression model was developed in group A for DIC diagnosis.

To find factors affecting route diversion, researchers applied a binary logistic regression model.