Announcement of the "Latent Class Analysis" seminar to learn analytical methods required in the era of big data <Held on 11/27>

【Due to popular demand, this event has ended】
We will hold a seminar on "Latent Class Analysis," one of the data analysis methods that has been gaining attention in recent years.
Latent Class Analysis is an analytical method that seeks hidden commonalities from observed phenomena and classifies them, possessing aspects similar to cluster analysis and factor analysis. It has garnered significant attention as an analytical method needed in the era of healthcare and big data. The seminar program is structured to deepen understanding, covering the history of latent class analysis, explanations of the analytical method, differences from other analytical methods, explanations using case studies, and practical exercises using software for latent class analysis.
【Seminar Program】
1) Why Latent Class Analysis now? The history of Latent Class Analysis
2) Differences from cluster analysis
3) About latent class models: factor analysis meanings, etc.
4) Analysis using latent class analysis software
5) Advanced analysis
Utilization of attribution probabilities, utilization of covariates
6) Q&A session

Date and time | Wednesday, Nov 27, 2019 01:00 PM ~ 05:00 PM |
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Capital | Three One Systems Inc. Seminar Room Address: 3-2 Nihonbashi Odenmachō, Chūō-ku, Tokyo, Daiwa Kodenmachō Building |
Entry fee | Charge 38,500 yen (including tax) |
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