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Tokyo Big Sight

Nov 13, 2016 9:30 AM - Nov 15, 2016 5:30 PM

3-11-1 Ariake, Koto-ku, Tokyo, 135-0063 Japan

13th DIA Japan Annual Meeting 2016

[V7-S6] Mighty Epidemiology!

Session Chair(s)

Hisashi  Urushihara, DrPH

Hisashi Urushihara, DrPH

Professor, Faculty of Pharmacy, Department of Pharmacy

Keio University, Japan

Postmarket observational epidemiological approaches have evolved into a powerful influence on the life cycle of medicinal products through use of various data sources, advanced statistical methodologies, and by globalization of pharmacovigilance activities. The missing data framework using propensity score introduced by Rubin, coupled with emerging “big health care data” from observational studies, has the potential to enable causal inference previously thought impossible to achieve except through randomized clinical trials. This session explores the possibilities and perspectives in the field of real-world medicines assessment introduced by these mighty epidemiological methods.

Speaker(s)

Takahiro  Hoshino, PhD

Causal Effect Estimation in Observational Studies: Application of Missing Data Framework and Propensity Score Methods

Takahiro Hoshino, PhD

Keio University, Japan

Professor, Graduate School of Economics

Hiraku  Kumamaru, DrSc, MD

Use of High Dimensional Propensity Score Approach in Claims-Based Pharmacoepidemiology Studies

Hiraku Kumamaru, DrSc, MD

The University of Tokyo Hosptial, Japan

Department of Healthcare Quality Assessment

Kunihiko  Takahashi, PhD

Spatial Epidemiology: Risk Assessment of Spatio-Temporal Events

Kunihiko Takahashi, PhD

Nagoya University, Japan

Associate Professor, Department of Biostatistics, Graduate School of Medicine

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