Sentence examples for use of the stepwise from inspiring English sources

A limitation arising from the analysis strategy and procedures include the use of the stepwise variable selection procedure, which in performing a large number of tests increases the probability of 'false positive' findings and models based on chance findings [ 28].

Hereby variables with a moderate relationship (p ≤ 0.2) with the dependent variable were included in the model, whereas a threshold of p > 0.05 was used for the stepwise elimination of potential risk factors.

An alpha level of 0.1 was used for the stepwise selection approach.

The third National Survey of Risk Factors of Non-Communicable Diseases (SURFNCD 2007) was a population-based nationwide health survey conducted in Iran using guidelines of the STEPwise approach to noncommunicable disease risk factor surveillance of the World Health Organization (WHO) (5) with some modifications (6).

Model-based optimization reveals the beneficial effect of the use of a stepwise temperature program, as confirmed experimentally via a lowering of the dispersity from a conversion of 0.3 on due to a suppression of thermal initiation and chain transfer to dimer.

The study sample was derived from the first national survey of risk factors of non-communicable disease (SURFNCD) in Iran [ 12, 16], which was performed in January and February 2005 using the guidelines of the stepwise approach to non-communicable disease risk factor surveillance of the world health organization [ 17].

For the PIAC project, the occurrence of missed links was reduced through the use of methodical stepwise linkage using additional data items in combination with the SLK.

This problem is avoided in GEMOT by the use of a stepwise heuristic approach that drastically reduces the search space and allows scalability to large networks.

The fifth method involved the use of multiple stepwise regression to eliminate non-significant items in each domain (αentry = 0.10, αexit = 0.15) [ 9].

To search the space of models, we use the stepwise model search algorithm of Broman and Speed (2002): we use forward selection up to a model of fixed size (e.g., ten QTL), followed by backward elimination to the null model.

Moreover, the use of forward stepwise regression in this context may be compromised by the part-whole correlation effect (10) since it often results in the wrong variables being selected.