Sentence examples for models for responses from inspiring English sources

The theory now consists of a large collection of probabilistic models for responses of persons to different types of test items, well-developed procedures for the statistical treatment of the models, and powerful principles of application.

Other possible methodological development lines for further studies include the implementation of risk adjustment and volume association models as one model, relaxation of the Poisson assumption, incorporation of a more detailed variance structure, and models for responses other than binary ones.

Score differences were assessed using logistic regression models for responses to EQ-5D items and linear regression models for EQ-5D utility and EQ-VAS scores, with or without adjustment for influence of other variables which might influence HRQoL (e.g. age, gender, socio-economic status).

Predictive models for response variables were developed as a function of process variables.

Then, estimated disease components and known or conjectured models for response, including models of societal learning, could be integrated in a single modeling framework for projections.

In contrast, IGFBP3 has been identified as a negative factor in prediction models for response to r-hGH in children who are small for gestational age (23).

Therefore, MRP8/14 could play a supporting role in response prediction models for response to treatment including clinical as well as laboratory measures, which are under investigation for both JIA and RA [ 4, 25– 29].

The prediction capability of the developed network model for responses of experimental data is not forming part of the training data-set.

For instance, the effort-moderated IRT model proposed by Wise and DeMars (2006) applies a 3-parameter logistic (PL) IRT model for responses given in the solution behavior mode, while a constant probability model is applied for rapid-guessing behavior.

Multivariate analyses were performed using a logistic regression model for responses and a Cox regression model for OS to identify independent factors and adjust for baseline characteristics.

Another study (Schwartz et al., 2012) developed a model for responses of ON alpha-like mouse RGCs by combining detailed morphological measurements with direct physiological measurements from bipolars and RGCs.