Sentence examples for model with years from inspiring English sources

MSQoL domains were analyzed using a mixed-effects repeated-measures model (with years since onset of migraine and baseline MSQoL domain score as covariates).

We then performed one degree of freedom likelihood ratio tests comparing a fully adjusted multivariable model with years of multivitamin use considered as a continuous variable with a second model with the same variables as previously mentioned and the interaction term.

Open image in new window Fig. 5 Effects of the explanatory variables distance from the equator (de) and minimum distance from areas above sea level (( d_{{ ( {text{min)}}}} )) over the proportions sailfish/(sailfish + spearfish) in the fleets of Venezuela, United States and Brazil in the model with year.

There was also marginal support for a model with year and location effects among both wolf pups (Δ AICc = 2.04, weight = 0.24) and adults (Δ AICc = 2.11, weight = 0.26) which exhibited a much better fit, particularly to the pup data.

The trend over years was analyzed using a logistic regression model with year as a covariate; p<0.05 was considered significant.

Firstly, a cosinor poisson regression model with year effects was fitted to both the monthly and daily time series at each site.

While this caused convergence problems for the GAM model a cosinor poisson regression model with year effects fitted the data reasonably well and so zero inflated possion models were not necessary.

For the model with year 4 change in HbA1c as the outcome, covariates included baseline HbA1c and fitness, weight change from baseline to year 4, and prescribed diabetes medication use.

Analyses were conducted for each sex separately and sexes were combined when appropriate Hazard ratios (HR) of mortality were calculated from Cox proportional hazard models with years since the examination in 1999 02 as time axis, so that individuals were considered at risk from 1999 02 until time at death, emigration/disappearance or April 27 2008, whichever came first.

Using four categories (no exposure, < 10 years, 10 20 years, and > 20 years), further models with years in these industries were used to investigate whether or not there is a dose-response relationship between the long held occupation as a farmer and a machinist and NHL (Table 3).

A machine learning model trained with years' worth of forecast and weather data predicts the accuracy of the weather forecast – the basis of a system that can reduce buildings' energy usage by up to 10percentt.