Sentence examples for many potential predictors from inspiring English sources

Exact(6)

The Lasso serves as a variable selection methodology by selecting few predictors thus alleviating problems attendant to having many potential predictors compared to the number of observations.

Many potential predictors of progression were explored in our analysis.

This method aims to include as many potential predictors as possible, even if their contribution is small.

Time was found to be a significant predictor of short-term functional recovery, but many potential predictors of post-operative walking speed were not mentioned often enough in the studies analyzed.

Approaching a predictive problem without a specific causal hypothesis can be quite effective when many potential predictors are available (increasingly common with electronic health records) and when there are interactions between predictors, which are common in biological and social causative processes.

The many potential predictors and the resulting curse of dimensionality present in the treatment of HIV infection are challenging in terms of both the range of potential predictors and the choice of methodology for finding the best model that includes predictors of clinical success.

Similar(54)

The calculation of Akaike weights across all models allows the researcher to evaluate the relative importance of many potential predictor variables within these models (Burnham and Anderson 2002).

The strengths lie in the richness of the data with many potential predictor variables tested and the uniqueness of the findings for this population.

However, like most studies involving microarray data, we have many more potential predictor variables than independent samples.

Due to its natural branching process, CART is able to handle many dozens of potential predictor variables as well as potential interactions between predictors and non-linear effects of individual predictors, and missing data.

Consequently, many studies end up evaluating multiple potential predictors using data sets with relatively small numbers of cases.

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