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Haptics technology allows chemists to explore the shapes of new molecular models hundreds or thousands of miles away.
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In Appendix B: Table 6 we explore the shape of the relation between technical change and early retirement.
Quintiles of exposure for the controls were defined for each exposure index and used for classifying cases and controls to explore the shape of the relationships.
We also categorized all PCB measures into tertiles, based on the rank order, to explore the shape of the dose response relationships.
Nonparametric smoothing [locally weighted scatterplot smoothing (LOWESS), bandwidth 0.75] was used to explore the shape of the associations between the different lead biomarkers.
The results from these two analytic approaches were consistent, indicating that semi-parametric models are valuable and powerful to explore the shape of an exposure-response relationship.
Generalized additive models (GAMs) were applied to explore the shape of the relationships between dioxin-like activity and AGDs and test departures from linearity.
We applied generalized additive models (GAMs) to explore the shape of the relationships between PCB, DDE, and DDT concentrations and overweight.
Generalized additive models (GAMs) were applied to explore the shape of the relationships between POPs in maternal serum and outcomes under study.
To further explore the shape of the relationship among serum selenium and plasma glucose, glycosylated hemoglobin, and diabetes, we used restricted quadratic splines with knots at the 5th, 50th, and 95th percentiles of the serum selenium distribution.
To explore the shape of the dose response curves, we modeled the interactions with five indicator variables, representing the three tertiles of serum TEQs, stratified into two genetic subgroups (i.e., 0 minor alleles vs. 1 or 2 minor alleles).
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