Sentence examples for best fitting model suggested from inspiring English sources

To explain having Wikipedia as a favorite source, the estimated coefficients from the best fitting model suggested that being male will increase the odds by 57 %, and having self-rated expert search skills will increase the odds by 58%%.

To explain if patients are concerned about privacy, the estimated coefficients from the best fitting model suggested that a one unit increase in the country PDI will increase the odds by 3%%, and going online to learn anonymously will increase the odds by 71%%.

To explain if the patients discuss online information with their doctor, the estimated coefficients from the best fitting model suggested that feeling very confident when to see the doctor will increase the odds by 94%%, feeling the Internet helps to cope will increase the odds by 162 %, and attempting to verify the information found online will increase the odds by 215%%.

To explain if patients always find what they are looking for, the estimated coefficients from the best fitting model suggested that consulting another medical professional (e.g., primary care, psychologist or counselor) in addition to a psychiatrist will decrease the odds by 41%%.

The best fitting model suggested that, throughout the course of behavior therapy (BT), enthusiasm to complete the homework was negatively correlated with the K6 scores for the subsequent session, while the K6 score measured at the beginning of the session did not influence the enthusiasm to complete the homeworks assigned for that session.

The best fitting model suggested that distress severity at the beginning of a session did not influence the enthusiasm for completing the homework from that session (estimated r = 0.0), which then, however, was negatively associated with the distress severity of the following session (r = −0.21 to −0.24).

The minimal difference between the best fitting models suggests that each provides relevant information on the heterogeneity of GPs' preferences.

In cases where the Stable Sets models are not selected as the best models, their AICC values tend to be very close to those of the best-fitting model, suggesting that they consistently provide a good fit to the data even if they are not the absolute best model.

In summary, the comparison of 27 models suggests that the best fitting model is one where reading modulates connections from aOT to PrC via the putamen without the thalamus.

As a consequence, Brownian motion is suggested as the best fitting model because it requires estimation of the smallest number of parameters.

Confirmatory factorial analyses suggest that the best fitting model includes four specific relational factors at the first level and two factors at the second level, these last two factors representing parental and peer attachments.