Food Choices and Hypertension Among Rural Thais: Evidence From a Discrete Choice Experiment.

The rural northern region of Thailand exhibits the highest rate of hypertension. This study explored hypertensive-related food choices between normotensive and hypertensive people residing in rural northern Thailand to determine which food attributes influence their choices. The study conducted a discrete choice experiment (DCE) survey among Thai adults residing in rural northern Thailand ( = 403) to estimate the relative importance of four food attributes, including food preparation, price, taste, and amount of salt.

Orthogonal array composite designs for drug combination experiments with applications for tuberculosis.

The aim of this article is to provide an overview of the orthogonal array composite design (OACD) methodology, illustrate the various advantages, and provide a real-world application. An OACD combines a two-level factorial design with a three-level orthogonal array and it can be used as an alternative to existing composite designs for building response surface models. We compare the -efficiencies of OACDs relative to the commonly used central composite design (CCD) when there are a few missing observations and demonstrate that OACDs are more robust to missing observations for two scenarios.

Which snack factors and nutritional ingredients influence college students' snack choices? Evidence from discrete choice experiments.

The study examined which snack factors and nutritional ingredients influence college students' snack choices using a discrete choice experiment (DCE). In November 2016, a total of 1,624 undergraduate students participated in the study. Two DCEs were constructed using a unique approach of block fractional factorial designs.

Using blocked fractional factorial designs to construct discrete choice experiments for healthcare studies.

Discrete choice experiments (DCEs) are increasingly used for studying and quantifying subjects preferences in a wide variety of healthcare applications. They provide a rich source of data to assess real-life decision-making processes, which involve trade-offs between desirable characteristics pertaining to health and healthcare and identification of key attributes affecting healthcare. The choice of the design for a DCE is critical because it determines which attributes' effects and their interactions are identifiable.

Application of fractional factorial designs to study drug combinations.

Herpes simplex virus type 1 (HSV-1) is known to cause diseases of various severities. There is increasing interest to find drug combinations to treat HSV-1 by reducing drug resistance and cytotoxicity. Drug combinations offer potentially higher efficacy and lower individual drug dosage.