Asked by Quadriyyah Russell on Aug 01, 2024

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What is the most important assumption in this type of analysis? Use the following table to answer the question. Survival of Patients With Metastatic Cancer Z Following Diagnosis
 Interval  since  beginning  treatment  (months)   Alive at  beginning  interval  Died  during  interva 1 Withdre  whterval  Effective  number  exposed  to risk of  dying  Proporti  on who  died  during  interval  Proportion  who did not  die during  interval  Cumulative  proportion  who  survived  from  enrollment  to end of  interval xIxdxWxIx′qxpxPx1−12200104013−24150203025−36100302037−48504010\begin{array}{l|l|l|l|l|l|l|l}\begin{array}{l}\text { Interval } \\\text { since } \\\text { beginning } \\\text { treatment } \\\text { (months) }\end{array} & \begin{array}{l}\text { Alive at } \\\text { beginning } \\\text { interval }\end{array} & \begin{array}{l}\text { Died } \\\text { during } \\\text { interva } \\1\end{array} & \begin{array}{l}\text { Withdre } \\\text { whterval }\end{array} & \begin{array}{l}\text { Effective } \\\text { number } \\\text { exposed } \\\text { to risk of } \\\text { dying }\end{array} & \begin{array}{l}\text { Proporti } \\\text { on who } \\\text { died } \\\text { during } \\\text { interval }\end{array} & \begin{array}{l}\text { Proportion } \\\text { who did not } \\\text { die during } \\\text { interval }\end{array} & \begin{array}{l}\text { Cumulative } \\\text { proportion } \\\text { who } \\\text { survived } \\\text { from } \\\text { enrollment } \\\text { to end of } \\\text { interval }\end{array} \\\hline x & I_{x} & d_{x} & W_{x} & I_{x}^{\prime} & q_{x} & p_{x} & P_{x} \\\hline 1-12 & 200 & 10 & 40 & & & & \\\hline 13-24 & 150 & 20 & 30 & & & & \\\hline 25-36 & 100 & 30 & 20 & & & & \\\hline 37-48 & 50 & 40 & 10 & & & & \\\hline\end{array} Interval  since  beginning  treatment  (months)  x112132425363748 Alive at  beginning  interval Ix20015010050 Died  during  interva 1dx10203040 Withdre  whterval Wx40302010 Effective  number  exposed  to risk of  dying Ix Proporti  on who  died  during  interval qx Proportion  who did not  die during  interval px Cumulative  proportion  who  survived  from  enrollment  to end of  interval Px


A) There has been no secular (temporal) change in the effectiveness of treatment or in survivorship over calendar time.
B) The effect of treatment has improved during the period of the study.
C) The survival experience of people who are lost to follow-up is better than the experience of those who are followed up.
D) The survival experience of people who are lost to follow-up is worse than the experience of those who are followed up.
E) An equal number of men and women enrolled each year.

Temporal Change

Variations in phenomena, characteristics, or metrics over time within a specific area or population.

Metastatic Cancer

Cancer that has spread from its original site to other parts of the body, forming secondary tumors.

Survivorship

The stage during and after treatment in which a cancer patient lives with, through, and beyond cancer, focusing on the health and life of a person post-treatment.

  • Identify and understand key assumptions underlying survival analysis techniques.
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Notthesameoldgee HardThmsAug 07, 2024
Final Answer :
A
Explanation :
The most important assumption in survival analysis, like the one described in the table, is that there has been no secular (temporal) change in the effectiveness of treatment or in survivorship over calendar time. This assumption ensures that the survival rates observed are not influenced by changes in treatment efficacy or other external factors over time.