File:Kaplan-Meier-sample-plot.svg
呢個「SVG」檔案嘅呢個「PNG」預覽嘅大細：521 × 419 像素。 第啲解像度：299 × 240 像素｜597 × 480 像素｜955 × 768 像素｜1,273 × 1,024 像素｜2,547 × 2,048 像素。
原本檔案 （SVG檔案，表面大細： 521 × 419 像素，檔案大細：31 KB）
摘要
| 描述 |
English: Example for a survival curve estimated by Kaplan-Meier method including 95% confidence limits. Data is below |
| 日期 | |
| 來源 | 自己作品 |
| 作者 | Accountalive |
| Other versions | Bsp kaplan meier.jpg |
| SVG genesis |  This diagram was created with R.  This diagram is translated using SVG switch elements: all translations are stored in the same file. |
| 原始碼 | DataTime of events: (1, 12, 22, 29, 31, 36, 38, 50, 60, 61, 70, 88, 99, 110, 140)
Type of event. 1=Event (e.g. patient died), 0=Censored (e.g. last time patient was seen (i.e. alive), don't know if he died later): (0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0)
On image one can see :
* red curve = survival curve
* 2 black curves = 95 % confidence interval
* black croses = censored observations, no event at the time of follow-up ( event = 0 )
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Image was manually translated using switch ( multiulanguage ).
協議
我，呢份作品嘅作者，決定用以下許可發佈呢件作品：
 
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This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication. |
| The person who associated a work with this deed has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.
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檔案歷史
撳個日期／時間去睇響嗰個時間出現過嘅檔案。
| 日期／時間 | 縮圖 | 尺寸 | 用戶 | 註解 | |
|---|---|---|---|---|---|
| 現時 | 2015年7月12號 (日) 12:06 | | 521 × 419（31 KB） | Soul windsurfer | also default = en |
| 2015年7月12號 (日) 11:41 |  | 521 × 419（31 KB） | Soul windsurfer | multilanguage | |
| 2011年5月1號 (日) 15:52 |  | 521 × 419（30 KB） | Accountalive | Made background white instead of transparent | |
| 2011年5月1號 (日) 15:32 |  | 521 × 419（15 KB） | Accountalive | {{Information |Description ={{en|1=Example for a w:Kaplan-Meier estimator. Data: Time of events: (1, 12, 22, 29, 31, 36, 38, 50, 60, 61, 70, 88, 99, 110, 140) Type of event. 1=Event (e.g. patient died), 0=Censored (e.g. last time patient was seen |
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