of contact. Second, SAS 9.3 supplies more ODS styles that can meet many line color and pattern preferences. Chapter 22, The ODS OUTPUT statement creates a SAS data set from the data object that is used to make the graph. Statistical Graphics Using ODS. ODS Graphics Template Modification. Those options are sufficient for most purposes. ods output survivalplot=zz; * capture the time and survival rates in a data set **; But I tried a simple GSPLOT line plot and it didn't have that squared-off look that a survival plot usually has. Modifying the layout and adding a new inset table: This part moves the event and total information out of the graph and the legend in. For the use of the particular dynamic variables shown in this section, see the sections Modifying the Layout and Adding a New Inset Table and Displaying Survival Summary Statistics in Modifying the legend and inset table: This part removes the small inset table and moves the legend inside the graph. Modifying the axes: This part explains the options that control the X and Y axes, and shows how to modify the ticks and axis labels. Each survival function contains an initial observation with the value 1 for the SDF and the value 0 for the time. If you have enabled ODS Graphics but do not specify the PLOTS= option, then PROC LIFETEST produces a plot of the estimated survivor functions by default. A good Survival Analysis method accounts for both censored and uncensored observations. The PROC LIFETEST statement invokes the procedure. Then we use the SGPLOT procedure code shown below to create the graph. See the section Changing Fonts in The following options can appear in the PROC LIFETEST statement and are described in alphabetic order. Chapter 22, Lower median survival time of the th stratum, Upper median survival time of the th stratum, Confidence of the median intervals in percent, Confidence of the median interval in percent. The overall appearance of graphs is controlled by ODS styles. Warren wrote the SAS/STAT documentation chapters "Using the Output Delivery System," "Statistical Graphics Using ODS," "ODS Graphics Template Modification," and "Customizing the Kaplan-Meier Survival Plot." Chapter 22, Paper SP14–SAS-2014 Creating and Customizing the Kaplan-Meier Survival Plot in PROC LIFETEST in the SAS/STAT® 13.1 Release Warren F. Kuhfeld and Ying So, SAS Institute Inc. It also moves the small inset table. Statistical Graphics Using ODS. ODS Graphics Template Modification. Survival Analysis (Life Tables, Kaplan-Meier) using PROC LIFETEST in SAS Survival data consist of a response (time to event, failure time, or survival time) variable that measures the duration of time until a specified event occurs and possibly a set of independent variables thought to be associated with the failure time variable. If ‘outside’ had been a parameter, such as in, proc lifetest data=sashelp.BMT plots=survival(failure cb=hw test atrisk (maxlen=13 outside((0.15))=0 to 2000 by 200); … Before you create graphs, ODS Graphics must be enabled (for example, with the ODS GRAPHICS ON statement). today we will go over the basic Syntax to generate a KM Plot and read the tables. … Missing Values Computational Formulas Computer Resources Output Data Sets Displayed Output ODS Table Names ODS Graphics Modifying the ODS Template for Survival Plots Examples Product-Limit Estimates and Tests of Association Enhanced Survival Plot and Multiple-Comparison Adjustments Life-Table Estimates for Males with Angina Pectoris For more information about ODS Graphics options, see the PLOTS= option in the section PROC LIFETEST Statement . The censoring information above the X axis is moved outside the graph. See Creating and Customizing the Kaplan-Meier Survival Plot in PROC LIFETEST - Warren F. Kuhfeld and Ying So, SAS Institute Inc. Chapter 21, Chapter 22, The survival plot is a commonly used plot in the Health and Life Sciences industry, and shows the survival estimates over time by treatment. The names of the graphs that PROC LIFETEST generates are listed in Table 51.6, along with the required keywords for the PLOTS= option. The ODS Graphics templates are specific to each graph within individual statistical procedures, such as the survival plot within the PROC LIFETEST. See the section Modifying the Plot Title in the Revised Template in Chapter 22, Consider a sample of survival data. ODS Graphics Template Modification. For more information about ODS, … How can I suppress the production of these tables? When those options are not suficient, you can change a graph by changing the graph template. Styles and other aspects of using ODS Graphics are discussed in the section A Primer on ODS Statistical Graphics in Chapter 21, PROC LIFETEST, like other statistical procedures, provides a PLOTS= option and other options for modifying its output without requiring template changes. ODS Graphics Template Modification. ods graphics on; proc lifetest plots=survival(atrisk); time T*Status(0); run; ods graphics off; For general information about ODS Graphics, see Chapter 21, Statistical Graphics Using ODS. These dynamic variables are not declared in the templates for the survival curves, but you can declare them and use them to enhance the default plots. See the section Modifying the Plot Title in Those options are sufficient for most purposes. Proc LifetestProc Lifetest Estimation of Survival ProbabilitiesEstimation of Survival Probabilities Confidence Intervals and Bands, meanlifemedianlifemean life, median life Basic Plots Estimates of Hazards, log survival, etc. Customizing Survival Plots in When those options are not suficient, you can change a graph by changing the graph template. The survival plot is produced by default; other graphs are produced by using the PLOTS= option in the PROC LIFETEST statement. You can reference every graph produced through ODS Graphics with a name. With SAS 9.3 and SAS 9.4, we have added new features to make creating such graphs easier. See the section Modifying the Layout and Adding a New Inset Table in See the section Displaying Survival Summary Statistics in You can use the LIFETEST procedure to compute nonparametric estimates of the survivor function and to compute rank tests for association of the response variable with other variables. With the advent of ODS GRAPHICS for SAS® 9.1, survival (Kaplan-Meier) curves can easily be created. As you can see in Output 15.3.1, the ODS TRACE ON statement writes the name, label, template, and path name of each generated ODS table.For more information on names, labels, and qualified path names, see the discussion in the section "Using the Output Delivery System".. Chapter 22, Table 51.7 and Table 51.8 list these additional dynamic variables for the Kaplan-Meier curves and the life-table curves, respectively. The names of the graphs that PROC LIFETEST generates are listed in Table 51.6 , along with the required keywords for the PLOTS= option. Modifying the ODS Template for Survival Plots, Product-Limit Estimates and Tests of Association, Enhanced Survival Plot and Multiple-Comparison Adjustments, Life-Table Estimates for Males with Angina Pectoris, Creating a Template That is Easy to Modify, Modifying the Plot Title in the Revised Template, Modifying the Layout and Adding a New Inset Table. The original graph template was created using SAS 9.2 feature set. You can reference every graph produced through ODS Graphics with a name. Proc Lifetest is the most widely used model to evaluate the result of survival analysis; it computes and displays the product-limit estimate of the survivor function. Modifying the ODS Template for Survival Plots PROC LIFETEST, like other statistical procedures, provides a PLOTS= option and other options for modifying its output without requiring template changes. When ODS Graphics is enabled, you can use the PLOTS= option in the PROC LIFETEST statement to create plots by using ODS Graphics. It shows how to construct a product-limit survival estimate plot. ODS Graphics Template Modification. In this case, it is quite handy. PROC LIFETEST passes a number of summary statistics as dynamic variables to the ODS Graphics for survival plots. Estimated hazard function for life-table method or smoothed hazard for product-limit, Breslow, or Fleming-Harrington method, Log of negative log of the estimated survivor function, Negative log of the estimated survivor function, Estimated survivor function with number of subjects at risk, Estimated survivor function with pointwise confidence limits, Estimated survivor function with equal-precision band, Estimated survivor function with Hall-Wellner band, Estimated survivor function with homogeneity test p-value. proc lifetest data=sashelp.BMT plots=survival(cb=hw test); time T * Status(0); strata Group / test=logrank; run; ODS Graphics was enabled in a previous step, and the PLOTS=SURVIVAL option requests a plot of the estimated survival curves. ODS Graphics Template Modification. Chapter 22, These names are listed in Table 74.6. You can use these names to … Changing fonts: This part shows how to change the graph template and the style template to change some of the fonts that are used in the graph. Basic plots Tests of equality of groups Chapter 22, Copyright © SAS Institute Inc. All rights reserved. ODS Graphics Template Modification, See the section Changing Line Styles in Copyright © SAS Institute Inc. All rights reserved. In such a case, PROC LIFETEST creates a plot of the cumulative incidence function (CIF) estimates. He has used SAS since 1979 and has developed SAS procedures since 1984. The Kaplan-Meier curve, also called the Product Limit Estimator is a popular Survival Analysis method that estimates the probability of survival to a given time using proportion of patients who have survived to that time. Modifying the ODS Template for Survival Plots, Product-Limit Estimates and Tests of Association, Enhanced Survival Plot and Multiple-Comparison Adjustments, Life-Table Estimates for Males with Angina Pectoris, Modifying the Layout and Adding a New Inset Table. ODS Graphics Template Modification. The following statements create a SAS data set with disease-free times for three risk categories: I am running the following code and I have the output I am looking for (Testing Homogeneity of Survival Curves for Days_Open over Strata), and also 5 different survival output datasets. Displaying survival summary statistics: This part adds to the graph a table with event, censoring, and survival information. This enables a more precise evaluation of the location of the inflection points. shows how to find the name of the template, display the template by using PROC TEMPLATE and the SOURCE statement, and make a series of template changes. See the section Modifying the Legend and Inset Table in In this paper I use Proc Template, Proc Lifetest, ODS, SAS macro language and Proc Sgrender to simplify such a task. For example, if I want to compare survival among males vs. females at 1, 3, and 5 years, is there an easy way to do this in proc lifetest? For more information about enabling and disabling ODS Graphics, see the section Enabling and Disabling ODS Graphics in One way to create the customized survival plot is to save the generated data from the LIFETEST procedure, and then use the SGPLOT procedure to create your custom graph. Modifying the plot title in the revised template: This part shows how to change the title by using the revised template. Kaplan-Meier methods take See the section The Graph Template Language in Chapter 22, common. PROC LIFETEST assigns a name to each table it creates. Changing how censored data are displayed: This part shows how to change or remove the plus marks that are used to display censored observations. See the section Changing How Censored Data Are Displayed in Chapter 22, However, generation of such graphical presentations can be a quite challenge. If ODS Graphics is enabled but you do not specify the PLOTS= option, PROC LIFETEST produces a plot of the survivor function estimates, unless you use the FAILCODE option in the TIME statement to stipulate a competing-risks analysis. Statistical procedures use ODS Graphics to create graphs as part of their output. Chapter 22, PROC LIFETEST assigns a name to each table it creates. The information obtained with the ODS TRACE ON statement enables you to request output tables by name. This is the exact name of the template that PROC LIFETEST will look for to use whenever it is run. The names of the dynamic variables depend on the STRATA= suboption of the PLOTS=SURVIVAL option: STRATA=INDIVIDUAL produces a separate plot for each stratum, and STRATA=OVERALL produces one plot with overlaid curves. Previously one had to create an ODS output dataset from PROC LIFETEST and then use SAS/Graph® to create a survival ODS Graphics Template Modification, ODS Graphics Template Modification. Suppose that the time variable is t and the cen- In this example, we have output the data from PROC LIFETEST (Example 49.2 1) using the ODS output statement to write the data from the “Survival Plot” object to the “SurvivalPlot_49_2_1” Chapter 21, Changing line styles: This part shows how to modify a style template to change line colors and styles. The example consists of the following parts: Modifying the plot title: This part identifies the template, displays it, explains its overall structure, and modifies the titles. ODS OUTPUT CLOSE; ODS TRACE OFF; USEFUL TIPS AND OTHER CONSIDERATIONS FOR USING PROC LIFETEST AND PROC PHREG The trtnum variable is used if there is more than one treatment group, you will have to do a DO Loop to run for each treatment arm. Chapter 22, Creating a template that is easy to modify: This part shows how you can reorganize and modularize the entire template to make it easy to customize in various ways. It seems like this is a common type of display, so it's frustrating that I can't figure it out. By default, proc lifetest graphs the Kaplan Meier estimate, even without the plot= option on the proc lifetest statement, so we could have used the same code from above that produced the table of Kaplan-Meier estimates to generate the graph. ODS Graphics Template Modification. See the section Modifying the Axes in You can use these names to reference the table when using the Output Delivery System (ODS) to select tables and create output data sets. experimental ODS GRAPHICS in combination with PROC LIFETEST substantially improves the display of sur-vival curves. ODS Graphics Template Modification. You might not think of using PROC SGPLOT and ODS OUTPUT to create results for future processing. Working with PROC GPLOT remains the simplest way to create customized survival plots. For simple analyses, only the PROC LIFETEST and TIME statements are required. Both the ODS GRAPHICS statement and procedure options are used to request the plot. This example is taken from Example 49.2 of Chapter 49, The LIFETEST Procedure. First, we use the ODS Output statement to save the data to the SurvivalPlotData SAS data set. Statistical Graphics Using ODS. The output data set contains an observation for each distinct failure time if the product-limit, Breslow, or Fleming-Harrington method is used, or it contains an observation for each time interval if the life-table method is used. ODS Graphics is described in detail in See the section Creating a Template That is Easy to Modify in The survival plot is produced by default; other graphs are produced by using the PLOTS= option in the PROC LIFETEST statement. However, when it is time to create a customized plot, ODS GRAPHICS and PROC LIFETEST are difficult to modify. for the general use of dynamic variables. Chapter 22, I divide my programming effort into four parts: 1) Data preparation, 2) Style definition, 3) Statgraph definition and 4) Graph generation. ODS Graphics Template Modification.
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