Quality and Reliability Methods - SAS

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352 Reliability and Survival Analysis Chapter 19 Univariate Survival Analysis Selecting Variables for Univariate Survival Analysis The Survival platform requires only a time (Y) variable, which must be duration or survival times. The censor, grouping, and frequency variables are optional. The sort-order of the data does not matter. Y, Time to Event is the only required variable, which contains the time to event or time to censoring. If you have interval censoring, then you specify two Y variables, the lower and upper limits. Grouping is for a column to classify the data into groups, which are fit separately. Censor is the column that identifies censored values. The value that identifies censoring should be entered in the Censor Code box. This column can contain more than two distinct values under the following conditions: – all censored rows have the value entered in the Censor Code box – non-censored rows have a value other than what is in the Censor Code box. Freq is for a column whose values are the frequencies of observations for each row when there are multiple units recorded. By is used to perform a separate analysis for each level of a classification or grouping variable. Example: Fan Reliability The failure of diesel generator fans was studied by Nelson (1982, p. 133) and Meeker and Escobar (1998, appendix C1). A partial listing of the data is shown in Figure 19.2. Open the Fan.jmp sample data table in the Samples/Reliability folder. Figure 19.2 Fan Data After launching Analyze > Reliability and Survival > Survival, specify Time as Y, Time to Event and Censor as Censor. Also, check the check box for Plot Failure instead of Survival, since it is more conventional to show a failure probability plot instead of its reverse (a survival probability plot). The completed dialog is shown in Figure 19.3.
Chapter 19 Reliability and Survival Analysis 353 Univariate Survival Analysis Figure 19.3 Fan Launch Dialog Figure 19.4 shows the Failure plot. Notice the increasing failure probability as a function of time. Figure 19.4 Fan Initial Output Usually, the next step is to explore distributional fits, such as a Weibull model, using the Plot and Fit options for that distribution.
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Chapter 20 Reliability and Survival
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References Abernethy, Robert B. (19
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References 407 Carroll, R.J., Ruppe
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References 409 Haaland, P.D. (1989)
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References 411 Lawless, J.F. (1982)
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References 413 Nelson, W.B. (2003),
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References 415 Snee, R.D. and Marqu
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Index JMP Quality and Reliability M
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Index 419 Fit SEV 242 Fit Weibull 2
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Index 421 Q Quantiles table 356 R R
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Index 423 Weibull Plot 360 Westgard
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Quality and Reliability Methods - SAS

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