5. Assume the below life table was constructed from following individuals who were diagnosed with a slow-progressing form of prostate cancer and decided not to receive treatment of any form. Calculate the survival probability at year 2 using the Kaplan-Meir approach and interpret the results. Time in Years 0 1 2 3 Number at Risk, Nt 20 20 17 16 Number of Deaths, Dt 3 2 Number Censored, Ct 1 1 Survival Probability 1 a. The probability of surviving 2 years after being diagnosed with a slow-progressing form of prostate cancer is .85. b. The probability of surviving 2 years after being diagnosed with a slow-progressing form of prostate cancer is .85 for the individuals being followed in this study. c. The probability of surviving 2 years after being diagnosed with a slow-progressing form of prostate cancer is .85 for individuals who decided against all forms of treatment. d. The probability of surviving 2 years after being diagnosed with a slow-progressing form of prostate cancer is .85 for the individuals being followed in this study and for individuals who decided against all forms of treatment.

A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
icon
Related questions
Question

This question is in the library, but has multiple answers making it confusing. I understand that the probability of surviving 2 years after being diagnosed with a slow-growing form of prostate cancer is 0.85, but where I'm confused is who does this apply to - only the study participants or study participants and everyone else who decide not to seek treatment. This tail-end is where there are multiple answers in the library. Can you explain? 

**Instruction:**

Assume the below life table was constructed from individuals diagnosed with a slow-progressing form of prostate cancer who decided not to receive treatment of any form. Calculate the survival probability at year 2 using the Kaplan-Meier approach and interpret the results.

**Life Table:**

| Time in Years | Number at Risk, \( N_t \) | Number of Deaths, \( D_t \) | Number Censored, \( C_t \) | Survival Probability |
|---------------|-----------------|--------------|-----------------|----------------------|
| 0             | 20              |              |                 | 1                    |
| 1             | 20              | 3            |                 |                      |
| 2             | 17              | 2            | 1               |                      |
| 3             | 16              | 2            | 1               |                      |

**Calculations:**

- At year 0, survival probability is 1 (100%).
- At year 1, survival probability = (number at risk - number of deaths)/number at risk = (20-3)/20 = 0.85.
- For year 2, adjust for censored data and calculate the survival probability.

**Interpretation Options:**

a. The probability of surviving 2 years after being diagnosed with a slow-progressing form of prostate cancer is 0.85.

b. The probability of surviving 2 years after diagnosis is 0.85 for individuals being followed in this study.

c. The probability of surviving 2 years after diagnosis is 0.85 for individuals who decided against all forms of treatment.

d. The probability of surviving 2 years is 0.85 for individuals in the study and who decided against all forms of treatment.

**Answer Questions:**

- True/False section to follow.

This explanation provides an overview and calculation method using a hypothetical life table for prostate cancer patients.
Transcribed Image Text:**Instruction:** Assume the below life table was constructed from individuals diagnosed with a slow-progressing form of prostate cancer who decided not to receive treatment of any form. Calculate the survival probability at year 2 using the Kaplan-Meier approach and interpret the results. **Life Table:** | Time in Years | Number at Risk, \( N_t \) | Number of Deaths, \( D_t \) | Number Censored, \( C_t \) | Survival Probability | |---------------|-----------------|--------------|-----------------|----------------------| | 0 | 20 | | | 1 | | 1 | 20 | 3 | | | | 2 | 17 | 2 | 1 | | | 3 | 16 | 2 | 1 | | **Calculations:** - At year 0, survival probability is 1 (100%). - At year 1, survival probability = (number at risk - number of deaths)/number at risk = (20-3)/20 = 0.85. - For year 2, adjust for censored data and calculate the survival probability. **Interpretation Options:** a. The probability of surviving 2 years after being diagnosed with a slow-progressing form of prostate cancer is 0.85. b. The probability of surviving 2 years after diagnosis is 0.85 for individuals being followed in this study. c. The probability of surviving 2 years after diagnosis is 0.85 for individuals who decided against all forms of treatment. d. The probability of surviving 2 years is 0.85 for individuals in the study and who decided against all forms of treatment. **Answer Questions:** - True/False section to follow. This explanation provides an overview and calculation method using a hypothetical life table for prostate cancer patients.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

Blurred answer
Similar questions
Recommended textbooks for you
A First Course in Probability (10th Edition)
A First Course in Probability (10th Edition)
Probability
ISBN:
9780134753119
Author:
Sheldon Ross
Publisher:
PEARSON
A First Course in Probability
A First Course in Probability
Probability
ISBN:
9780321794772
Author:
Sheldon Ross
Publisher:
PEARSON