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st: 2013 Japanese Stata Users Group Meeting - announcement

From   "Megumi Obuchi" <>
To   <>
Subject   st: 2013 Japanese Stata Users Group Meeting - announcement
Date   Fri, 7 Jun 2013 17:19:17 +0900

Dear Stata-Users,

The first Japanese Users Group Meeting will be held at the Graduate School
of Finance, Accounting, and Law of Waseda University on Friday, September 20
2013. Anyone who is interested are welcome to attend.
There will be presentations from Stata Users/researchers in Japan and a
presentation will be conducted by StataCorp representative.

Preregistration is required. Eary registeration discount will be provided
until June 30.

The meeting will be held mainly in Japanese, except for the presentation
(and wishes and grumbles) by StataCorp representative.

Also, there will be an optional social gathering with additional cost.
Details for the social will be announced when decided.

See Also: (StataCorp Webpage) (LightStone


Date: September 20, 2013 (Fri)

Venue: Graduate School of Finance, Accounting, and Law, Waseda University
(Nihonbashi, Tokyo)
Map page(

Preregistration required (Webpage written in Japanese)

Cost: 4,000 JPY by June 30
      5,000 JPY after June 30

Organizer: LightStone Corporation



10:00-10:30  Registration  
10:30-10:45  Opening statement  

10:45-11:45  TBA*
	     Bill Rising (StataCorp)
11:45-12:00  Q&A  

12:00-1:00  Lunch 

1:00-1:30  Statistical analysis of human growth pattern
	   Yukinobu Kitamura (Hitotsubashi University)

In this paper, I investigate the statistical pattern of human growth. As is
well known, the human body growth has two stages. The first stage is
realized by its ability to stand and walk and the development of various
senses, including seeing, hearing, and smelling. Extending neural networks
enable human beings to think and communicate with language. The second stage
is concentrated mainly in reproductive function. In this paper, I use panel
data covering individuals from infancy to 10 years of age. This covers the
period of the first growth pattern, and I try to identify a turning point of
how the growth pattern changes from the first to the second stages. 

1:30-2:00  Estimating the term structure of default probabilities
considering macroeconomic factors
	   Soichiro Moridaira (Waseda University)

We estimate the term structure of the probability of default (PD) of
Japanese public companies. In addition to accounting variables for each
company, we use macroeconomic factors such as stock price index, general
economic indicators, and oil price as explanatory variables. We also compute
the expected loss and unexpected loss of a hypothetical loan portfolio based
on the estimated term structure of PD, with and without such macroeconomic
factors. We find that considering macroeconomic factors affects the expected
loss more than the unexpected loss.

2:00-2:30  Quantile regression of personal network size
	   Itaru Ishiguro (Japan Women's University)

In the present study, the author predicts that the effect of extraversion on
personal network size is different among the right (upper) and left (lower)
part of the distribution and tests the prediction with quantile regression.
The result shows that extraversion positively correlates with the 70th to
90th percentile of personal network size to a greater extent than that of
the 30th to 10th percentile. 

2:30-3:00  Data management using Stata --Quality of care measurement based
on hospital-based cancer registry and insurance claims data
	   Takahiro Higashi (National Cancer Center)

Providing evidence-based standard care is an important aspect of the quality
of medical care. Although medical record abstraction is desirable when
examining the care provided, it is sometimes prohibitively labor intensive.
An alternative way is to use existing data collected for other purposes,
such as cancer registry and insurance claims data. To capture detailed
clinical situations from these electronic data, one must construct elaborate
algorithms that define target patients and recommended care for such
patients. We found that Stata was useful in this process. 

3:00-3:30  Break

3:30-4:00  Propensity-score analysis using Stata
	   Osamu Takahashi (Center for Clinical Epidemiology)

Propensity-score analysis is a relatively new statistical methodology to
estimate an intervention effect (for example, treatment) in observational
data when randomized controlled trials, the gold standard of clinical
effectiveness research, are not feasible or ethical. Propensity-score
analysis uses a two-step process. I will show multiple Stata commands for
creating propensity scores and estimating the effect of the intervention
within groups of patients. 

4:00-5:00  Report to users and Wishes and grumbles*
	   Bill Rising (StataCorp)

5:00 Closing statement

*Presentation will be conducted in English.

If you have any questions, please feel free to contact me.

Megumi Obuchi
LightStone Corp.

*   For searches and help try:

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