Project info 1
Experiment Date2018-02-23
Experiment ID
Notebook ID
Project
Experimenter
Protocol
*Project info 1
Experiment Date2017-10-10
Experiment ID
Notebook ID
Project
Experimenter
Protocol
*Project info 1
Experiment Date2018-02-26
Experiment ID
Notebook ID
Project
Experimenter
Protocol
*Project info 1
Experiment Date2018-02-25
Experiment ID
Notebook ID
Project
Experimenter
Protocol
*survival values
The Y columns of survival tables hold simple code values. Usually, 1

means death (or some other event happened) and 0 means the data were

censored. You can change the code, but Prism can only accept integers

into the Y columns of survival tables. Negative numbers and fractions

cannot be entered.
Step by step instructions for analyzing survival data
8.153

8.32

10.081

10.327

10.687

11.784

11.976

12.138

12.67

13.95

15.967

6.153

7.707

10.99

27.096

34.768

53.883

5.087

8.076

11.956

12.213

13.315

23.078

6.08

14.939

16.081

20.924

26.159

26.898

31.327

45.633

45.949

50.066

How the data are organized

Each row represents one subject. The X values are time. The Y values are entered into two columns that define the treatment groups The Y value is "1" when the subject died at the specified time, and "0" when the subject's data was
*censored *
at that time (either because we don't know what happened after that time, or we do know but can't use the data because the protocol was not being followed). Note that unlike some programs, you don't enter group ID into a column in Prism, but rather define the treatment groups by the Y columns. (E
xample from: Table 3.3 of D Machim, YB Cheung, and MK Parmar,
*Survival Analysis: A Practical Approach*
. Second edition, John Wiley, 2006.)

The goals

- To create a Kaplan-Meier survival curve.

- To determine whether the difference between survival curves

is more than expected by chance.

Viewing the results

Survival analysis is unique. You don't need to click the Analyze button because Prism automatically analyzes survival data. Simply view the linked results sheet and graph. Click below to learn more about survival analysis.
weeks elapsed
5,087
8,076
8,076
11,956
12,213
13,315
13,315
23,078
6,08
14,939
16,081
20,924
26,159
26,898
31,327
45,633
45,949
50,066
8,153
8,32
10,081
10,327
10,687
11,784
11,976
12,138
12,67
13,95
15,967
6,153
7,707
10,99
10,99
27,096
34,768
53,883
weeks elapsed
5,087
8,076
8,076
11,956
12,213
13,315
13,315
23,078
6,08
14,939
16,081
20,924
26,159
26,898
31,327
45,633
45,949
50,066
8,153
8,32
10,081
10,327
10,687
11,784
11,976
12,138
12,67
13,95
15,967
6,153
7,707
10,99
10,99
27,096
34,768
53,883
TCZ
1
1
1
1
1
1
1
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0
0
0
0
0
0
0
0
0
0
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1
1
1
1
1
1
1
1
1
1
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0
0
0
0
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