Market Information Data Analysis Of Commercial Genetic Test

Urbanization has brought chance for rapid economic development,which has also brought challenges to residents'health problems.According to the 2016 global report of 56.9 million deaths,cancer,heart disease and diabetes accounted for 71%.We focuse on the commercial genetic testing market.which play an important role in disease prevention,and so on.According to the data,as of 2017,the penetration rate of commercialized genetic testing products in the U.S.market was about 3.75%,an increase of nearly 40 times compared with 2012.In China,the market penetration rate is only 0.3%.So there is huge room for future development.Due to technical barriers,consumers cannot directly verify the quality of goods,and can only judge the quality through the information disclosed by companies.Using the"quality signal"theory,we selected the indicators of commercial genetic testing commodity quality metrics and constructed a matrix of quality metrics.By analyzing the market information data,we verified three assumptions.In ad-dition,we find key indicators of concern for merchandise display information when consumers purchase goods.These results have reference significance for the develop-ment of new products.Finally,we construct three regression models:a fixed effect model(FEM),a ran-dom effect model(REM),and a mixed effect model(MEM),respectively.By model selecting and comparing,the random effect model was selected and the results were analyzed.