Sentence examples for main effects design from inspiring English sources

45 In the first instance we estimated a D-efficient multinomial logit (MNL) fractional factorial main effects design, generating 36 choice sets using Ngene software.

We first constructed two matrices that each represented a main effects design and together represented the full factorial design (2 × 2 × 2 design).

We used the computer package SPEED (software designed to establish choice sets for DCEs [ 20]) for the pilot DCE to generate such an orthogonal main effects design.

Using experimental design software this was reduced to 8 combinations of random pairings of the two clinical scenarios in a fractional main effects design 26 (see table 1 for examples of vignettes).

These remainder clinics were randomized to four conditions within one of the fractional factorial main effects design (a subset of the larger 2 × 2 × 2 design) to maximize power for main effects estimates.

The Hahn and Shapiro catalogue was used to select combinations for an orthogonal main effects design, and to organize the selected profiles into the most D-efficient choice design, given our design parameters.

To explore the projection efficiency of a design, Tsai, et al [2000. Projective three-level main effects designs robust to model uncertainty.

This case study demonstrates different analysis methods suitable for the analysis of BWS data on aggregated and segment level when respondents perform complete or partial main effects designs.

In this paper, we incorporate the parameter model complexity into the supersaturated design analysis process, by assuming generalized linear models for a Bernoulli response, for analyzing main effects designs and discovering simultaneously the effects that are significant.

A criterion which incorporates experimenters' prior beliefs about the importance of each effect is introduced to compare orthogonal, or nearly orthogonal, main effects designs with robustness to interactions as a secondary consideration.

The main effects designs utilised ensured that across all profiles in the best-worst exercise the utility difference in every one of the pairs could be estimated.