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) x1−1213−2425−3637−48 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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Learning Objectives
- Identify and understand key assumptions underlying survival analysis techniques.
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