【理工研セミナー】Use of Propensity Score Matching for a Paired Comparison Study Based on Observational Data(傾向スコアマッチングを用いた対比較の研究とその応用にに関して)
講演者:Prof. J.C.Lee(韓国,高麗大学)
Prof. J.C.Lee(韓国,高麗大学)が来日される機会に,傾向スコアマッチングを用いた対比較の研究とその応用にに関してご講演をお願いしました.是非ご参集ください.
講演の概要:
There have been many studies to improve data quality using data combining methods and data matching techniques. In medical or social researches to find out an effect of a certain treatment it is not usually possible to actually design an experiment with randomization. But we often have a data set of observations for a special group under a particular study. In this case, comparing this with a control group is almost impossible. Due to the development in ICT, huge data sets of observations are available for use as byproducts of other administrative activities such as the national insurance or social security system. The propensity score method makes it possible to create an artificial control group formed by matching units in these large data sets by regression and other statistical methods. The method of propensity score matching will be explained by real data sets of blood pressure observed for two groups, air force pilots and other similar job groups.
講演終了後,懇親会を予定しております.
連絡先:中央大学理工学部数学学科
杉山 髙一
03-3817-1762(直 通)
03-3817-1745(数学科)