Who can generate survival plots in STATA?
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Survival plot is a standard graphical tool for analyzing a logistic regression model with Cox proportional hazard model. However, Survival plots in Stata are just different names to the same graph. Survival plot is used to make a quick check on the distribution of outcomes. Survival Plot is used to study the censoring, the outcome, the dropouts, etc. The basic idea is that, if there are less than 100 dropouts, then the Cox model is used to calculate a standard Cox survival probability,
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Who can generate survival plots in STATA? The STATA® function STATPOPP allows you to generate standardized contingency tables that may be used for survival plots, such as a survival analysis of binary response data. The function provides a fast and efficient approach to generating tables that can be transformed into a bar chart, histogram, or scatter plot, while preserving the correct ordering of response variables. STATA’s Survival Programming and Plotting (SPP) package also provides convenient and efficient routines to generate survival plots and perform related tasks
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Certainly! My colleagues and I have developed a feature in STATA called ‘Survival plots’, which allows you to visually and easily see whether the variables you’re examining will survive to keep producing data for a long period of time. So what is this feature, and how does it work? In STATA, you might say: “`stata gen X = 10 survival plot X “` If you do this, you will get a plot of the survival of the variables X