August 2015
Intermediate to advanced
272 pages
5h 46m
Japanese
Content preview from Think Stats 第2版 ―プログラマのための統計入門
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
204
13 章 生存分析
図
13-3
初婚時年齢の生存曲線と加重リサンプリングに基づいた
90 %
信頼区間
13.8
コホート効果
生存分析における課題の
1
つは、生存曲線の異なる部分が回答者の異なるグループ
によるということです。時間
t
の曲線部分は、インタビューを受けたときにその年齢
が少なくとも
t
だった回答者グループに基づいています。したがって、曲線の左端の
部分は、全回答者のデータを含みますが、右端の部分は最年長者のデータしか含みま
せん。
回答者の関連特性が時間変化しないなら、それでよいのですが、この場合は、女性
の世代が異なると結婚のパターンが異なるようです。この効果は、回答者の生年を
10
年ごとにグループ化して調べることができます。このような、生年月日や同様の
出来事で定義されたグループはコホート（
cohort
）と呼ばれ、グループ間の差異は、
コホート効果（
cohort effect
）と呼ばれます。
NSFG
婚姻データにおけるコホート効果を見るために、本書で使われている
2002
年のデータからサイクル
6
データ、「
9.11
再現」で使われている
2006
〜
2010
年デー
タからサイクル
7
データ、
1995
年からサイクル
5
データを取りました。全体で、こ
のデータセットは
30,769
人の回答者になります。
年齢（歳）
生存曲線
信頼区間
205
205
13.8 コホート効果
resp5 = ReadFemResp1995()
resp6 = ReadFemResp2002()
resp7 = ReadFemResp2010() ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.