We fit multiple linear regressions of the log-metal concentrations on the predictor variables.
When we used continuous predictors only, along with the T/S, we fitted multiple linear regression models to the data.
Adjusted growth rate estimates were obtained by fitting a multiple linear regression model that controlled for the effect of sex, HIV status, and concurrent cryptosporidiosis.
The model was successfully fitted by multiple linear regressions.
Data were analysed by calculating correlation coefficients between VFQ-25 domain scores and ETDRS scores and by fitting step-wise multiple linear regression models to determine the predictors of VFQ-25 domain scores.
The use of an empirical equation of the form x= klt+k′pt+klog log(t), fitted by simple multiple linear regression, is capable to describe many versions of corrosion processes, if kl is allowed to become negative or positive (x: scale thickness or specific mass change, t: time).
Equation (2) can be fitted by a multiple linear regression with t, the time spent in the patch and n the number of items found at time t as an independent variable.
We then fitted several multiple linear regression models based on alternative sets of underlying causal relationships represented conceptually by directed acyclic graphs (Greenland et al. 1999).
The expression data were transformed into log2 values and were fit on multiple linear models each probe across available matrix.
Depending on the simulated condition, this was either directly followed by fitting the linear regression model using the CC method, or by first creating multiple imputations and then following with regression analyses.
