Model Development for Quality of Life (QOL) Planner

Everybody wants to have a high Quality of Life (QOL). Planner apps are welcomed for scheduling healthy lifestyles and directing users to better QOL. We aim to develop a statistical regression model to serve as the base of such a planner. This project is the first attempt to achieve the goal. It includes the following four stages.

         Stage 1. (Preparation) We will conduct a literature review to (i) find a well-received QOL index, a list of all the aspects of wellness that potentially affect one's QOL, and a list of the characteristics and demographics of the people in the population of interest, and (ii) select a class of candidate regression models.

         Stage 2. (Data Collection) If resources permit, we will firstly design a questionnaire for collecting information according to the variables identified in Stage 1, and then conduct a sampling survey using the questionnaire. Otherwise, we will search for an available data set that meets the needs of the project.

         Stage 3. (Regression Analysis) We will utilize the data to select an appropriate regression model, fit the model, and provide both prediction and calibration procedures with the fitted model.

         Stage 4. (Knowledge Transition) As the project's final product, an R function will be written based on the fitted regression model. The users of the R function can choose one of the two outcomes: (i) to predict for their QOL with the inputs of their characteristics and current life styles, and (ii) to calibrate for the corresponding healthy life styles with the inputs of their targeted QOL and their characteristics.