In ht example you used, there was only 1 repeating value so with addition of 0, all teh cells were filled. What to do if you have multiple repeating values? should we just leave the cells blank?
The unite time is not relevant. I have the first patient on 15 months of treatment. Secont is 13 months, third is 33 months. What is the logic of the time collum? How do i set it up to show real worls treatment survival? The first patient died but the formula returns 0 deaths while using the example in the video.
Unique times on a Kaplan-Meier curve are critical for determining when events occur, recalculating survival probabilities, and appropriately expressing these changes in survival estimates. They ensure that the stepwise nature of the Kaplan-Meier curve appropriately depicts the survival experience of the group under study. Time zero, often known as the time origin, is the point at which individuals are deemed at risk for the result of their interest. Many studies quantify time at risk from the beginning of the trial (i.e., enrollment). So it is considered that the patient is alive at this time and zero is used.
Hello, is the question about the unique time? This column would consists of all the years that are unique in number. For instance amongst 4, 6, 6, and 7 years the unique time or years would be 4, 6 and 7 years. Let me know if I got your query answered.
@@gustavoortizmorales642 In Kaplan-Meier survival analysis, it is essential to include a time point (unique) of 0 since it denotes the beginning of the observation. Including time point 0 makes sense because it takes into consideration those who could experience an event (death, disease progression, etc.) as soon as they start the study or observation period. The Kaplan-Meier estimator correctly takes into account the beginning point for each individual in the study by including time point 0.
Thank you for sharing your experience. You are right that SPSS does offer a straightforward way to plot Kaplan-Meier graphs, and for many users, it might indeed be easier. However, it is important to note that SPSS typically comes with a cost, while Microsoft Excel is often more readily available, especially for those already using Office suites. Ultimately, the choice between SPSS and Excel often depends on individual preferences, resources, and specific needs. Both tools have their strengths and can be valuable in different contexts. Thanks again for sharing your perspective!
In ht example you used, there was only 1 repeating value so with addition of 0, all teh cells were filled. What to do if you have multiple repeating values? should we just leave the cells blank?
Hello, yes simply leave the cells blank
The unite time is not relevant. I have the first patient on 15 months of treatment. Secont is 13 months, third is 33 months. What is the logic of the time collum? How do i set it up to show real worls treatment survival?
The first patient died but the formula returns 0 deaths while using the example in the video.
Unique times on a Kaplan-Meier curve are critical for determining when events occur, recalculating survival probabilities, and appropriately expressing these changes in survival estimates. They ensure that the stepwise nature of the Kaplan-Meier curve appropriately depicts the survival experience of the group under study. Time zero, often known as the time origin, is the point at which individuals are deemed at risk for the result of their interest. Many studies quantify time at risk from the beginning of the trial (i.e., enrollment). So it is considered that the patient is alive at this time and zero is used.
i dont understand how you got that unit time
Hello, is the question about the unique time? This column would consists of all the years that are unique in number. For instance amongst 4, 6, 6, and 7 years the unique time or years would be 4, 6 and 7 years. Let me know if I got your query answered.
Hello@@nrttaye4033 , How important it is to add 0 as a unique time ? What is the logic behind?
@@gustavoortizmorales642 In Kaplan-Meier survival analysis, it is essential to include a time point (unique) of 0 since it denotes the beginning of the observation.
Including time point 0 makes sense because it takes into consideration those who could experience an event (death, disease progression, etc.) as soon as they start the study or observation period. The Kaplan-Meier estimator correctly takes into account the beginning point for each individual in the study by including time point 0.
@@nrttaye4033 How would you add more series to the survival plot?
That's too complicated, it is much easier with SPSS
Thank you for sharing your experience. You are right that SPSS does offer a straightforward way to plot Kaplan-Meier graphs, and for many users, it might indeed be easier. However, it is important to note that SPSS typically comes with a cost, while Microsoft Excel is often more readily available, especially for those already using Office suites.
Ultimately, the choice between SPSS and Excel often depends on individual preferences, resources, and specific needs. Both tools have their strengths and can be valuable in different contexts. Thanks again for sharing your perspective!