Practice Prediction Survival Analysis MCQ questions with detailed explanations and clear answer validation. These MCQs help you revise core concepts, compare close options, and improve accuracy for interviews, certification exams, and technical screening rounds. Use this updated 2026 set to strengthen fundamentals and confidence.
Here, Flexible parametric survival distribution. is the right choice. Hazard can increase/decrease. It aligns directly with what the question asks about which statement about weibull distribution is most accurate. Competing choices sound plausible, but they miss the key condition.
Q52. How is Weibull distribution best characterized?
In this case, Flexible parametric survival distribution. is correct. Hazard can increase/decrease. It aligns directly with what the question asks about how is weibull distribution best characterized. Competing choices sound plausible, but they miss the key condition.
Q53. Which option best describes log-rank test?
Select an answer to check.
Answer: Compares survival curves between groups.
The best option here is Compares survival curves between groups.. Common nonparametric test. It aligns directly with what the question asks about which option best describes log-rank test. Competing choices sound plausible, but they miss the key condition.
Q54. What is the primary purpose of log-rank test?
Select an answer to check.
Answer: Compares survival curves between groups.
For this question, Compares survival curves between groups. is correct. Common nonparametric test. It aligns directly with what the question asks about what is the primary purpose of log-rank test. Competing choices sound plausible, but they miss the key condition.
Q55. Which statement about log-rank test is most accurate?
Select an answer to check.
Answer: Compares survival curves between groups.
Compares survival curves between groups. is the correct answer here. Common nonparametric test. It aligns directly with what the question asks about which statement about log-rank test is most accurate. Competing choices sound plausible, but they miss the key condition.
Q56. How is log-rank test best characterized?
Select an answer to check.
Answer: Compares survival curves between groups.
Here, Compares survival curves between groups. is the right choice. Common nonparametric test. This matches the core idea being tested around how is log-rank test best characterized. Competing choices sound plausible, but they miss the key condition.
Q57. Which option best describes hazard ratio?
Select an answer to check.
Answer: Ratio of hazards between groups.
In this case, Ratio of hazards between groups. is correct. Typical Cox PH output. This matches the core idea being tested around which option best describes hazard ratio. Competing choices sound plausible, but they miss the key condition.
Q58. What is the primary purpose of hazard ratio?
Select an answer to check.
Answer: Ratio of hazards between groups.
The best option here is Ratio of hazards between groups.. Typical Cox PH output. This matches the core idea being tested around what is the primary purpose of hazard ratio. Competing choices sound plausible, but they miss the key condition.
Q59. Which statement about hazard ratio is most accurate?
Select an answer to check.
Answer: Ratio of hazards between groups.
For this question, Ratio of hazards between groups. is correct. Typical Cox PH output. This matches the core idea being tested around which statement about hazard ratio is most accurate. Competing choices sound plausible, but they miss the key condition.
Q60. How is hazard ratio best characterized?
Select an answer to check.
Answer: Ratio of hazards between groups.
Ratio of hazards between groups. is the correct answer here. Typical Cox PH output. This matches the core idea being tested around how is hazard ratio best characterized. Competing choices sound plausible, but they miss the key condition.
Q61. Which option best describes time-dependent covariates?
Select an answer to check.
Answer: Covariates that vary over time.
Here, Covariates that vary over time. is the right choice. Allowed in extended Cox PH. That is exactly the concept behind which option best describes time-dependent covariates in this context. Competing choices sound plausible, but they miss the key condition.
Q62. What is the primary purpose of time-dependent covariates?
Select an answer to check.
Answer: Covariates that vary over time.
In this case, Covariates that vary over time. is correct. Allowed in extended Cox PH. That is exactly the concept behind what is the primary purpose of time-dependent covariates in this context. Competing choices sound plausible, but they miss the key condition.
Q63. Which statement about time-dependent covariates is most accurate?
Select an answer to check.
Answer: Covariates that vary over time.
The best option here is Covariates that vary over time.. Allowed in extended Cox PH. That is exactly the concept behind which statement about time-dependent covariates is most accurate in this context. Competing choices sound plausible, but they miss the key condition.
Q64. How is time-dependent covariates best characterized?
Select an answer to check.
Answer: Covariates that vary over time.
For this question, Covariates that vary over time. is correct. Allowed in extended Cox PH. That is exactly the concept behind how is time-dependent covariates best characterized in this context. Competing choices sound plausible, but they miss the key condition.
Q65. Which option best describes competing risks?
Select an answer to check.
Answer: Multiple event types where one prevents another.
Multiple event types where one prevents another. is the correct answer here. Use Fine-Gray or cause-specific hazards. That is exactly the concept behind which option best describes competing risks in this context. Competing choices sound plausible, but they miss the key condition.
Q66. What is the primary purpose of competing risks?
Select an answer to check.
Answer: Multiple event types where one prevents another.
Here, Multiple event types where one prevents another. is the right choice. Use Fine-Gray or cause-specific hazards. It fits the requirement in the prompt about what is the primary purpose of competing risks. Competing choices sound plausible, but they miss the key condition.
Q67. Which statement about competing risks is most accurate?
Select an answer to check.
Answer: Multiple event types where one prevents another.
In this case, Multiple event types where one prevents another. is correct. Use Fine-Gray or cause-specific hazards. It fits the requirement in the prompt about which statement about competing risks is most accurate. Competing choices sound plausible, but they miss the key condition.
Q68. How is competing risks best characterized?
Select an answer to check.
Answer: Multiple event types where one prevents another.
The best option here is Multiple event types where one prevents another.. Use Fine-Gray or cause-specific hazards. It fits the requirement in the prompt about how is competing risks best characterized. Competing choices sound plausible, but they miss the key condition.
Q69. Which option best describes Fine-Gray model?
Select an answer to check.
Answer: Models subdistribution hazards for competing risks.
For this question, Models subdistribution hazards for competing risks. is correct. Outputs CIF effects. It fits the requirement in the prompt about which option best describes fine-gray model. Competing choices sound plausible, but they miss the key condition.
Q70. What is the primary purpose of Fine-Gray model?
Select an answer to check.
Answer: Models subdistribution hazards for competing risks.
Models subdistribution hazards for competing risks. is the correct answer here. Outputs CIF effects. It fits the requirement in the prompt about what is the primary purpose of fine-gray model. Competing choices sound plausible, but they miss the key condition.
Q71. Which statement about Fine-Gray model is most accurate?
Select an answer to check.
Answer: Models subdistribution hazards for competing risks.
Here, Models subdistribution hazards for competing risks. is the right choice. Outputs CIF effects. This is the most accurate statement for which statement about fine-gray model is most accurate. Competing choices sound plausible, but they miss the key condition.
Q72. How is Fine-Gray model best characterized?
Select an answer to check.
Answer: Models subdistribution hazards for competing risks.
In this case, Models subdistribution hazards for competing risks. is correct. Outputs CIF effects. This is the most accurate statement for how is fine-gray model best characterized. Competing choices sound plausible, but they miss the key condition.
Q73. Which option best describes the cumulative incidence function?
Select an answer to check.
Answer: Probability of event of type k by time t.
The best option here is Probability of event of type k by time t.. Used in competing risks. This is the most accurate statement for which option best describes the cumulative incidence function. Competing choices sound plausible, but they miss the key condition.
Q74. What is the primary purpose of the cumulative incidence function?
Select an answer to check.
Answer: Probability of event of type k by time t.
For this question, Probability of event of type k by time t. is correct. Used in competing risks. This is the most accurate statement for what is the primary purpose of the cumulative. Competing choices sound plausible, but they miss the key condition.
Q75. Which statement about the cumulative incidence function is most accurate?
Select an answer to check.
Answer: Probability of event of type k by time t.
Probability of event of type k by time t. is the correct answer here. Used in competing risks. This is the most accurate statement for which statement about the cumulative incidence function is. Competing choices sound plausible, but they miss the key condition.
Q76. How is the cumulative incidence function best characterized?
Select an answer to check.
Answer: Probability of event of type k by time t.
Here, Probability of event of type k by time t. is the right choice. Used in competing risks. It aligns directly with what the question asks about how is the cumulative incidence function best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q77. Which option best describes frailty models?
Select an answer to check.
Answer: Random effects accounting for unobserved heterogeneity.
In this case, Random effects accounting for unobserved heterogeneity. is correct. Group-level variation. It aligns directly with what the question asks about which option best describes frailty models. The remaining choices fail because they don’t satisfy the full definition.
Q78. What is the primary purpose of frailty models?
Select an answer to check.
Answer: Random effects accounting for unobserved heterogeneity.
The best option here is Random effects accounting for unobserved heterogeneity.. Group-level variation. It aligns directly with what the question asks about what is the primary purpose of frailty models. The remaining choices fail because they don’t satisfy the full definition.
Q79. Which statement about frailty models is most accurate?
Select an answer to check.
Answer: Random effects accounting for unobserved heterogeneity.
For this question, Random effects accounting for unobserved heterogeneity. is correct. Group-level variation. It aligns directly with what the question asks about which statement about frailty models is most accurate. The remaining choices fail because they don’t satisfy the full definition.
Q80. How is frailty models best characterized?
Select an answer to check.
Answer: Random effects accounting for unobserved heterogeneity.
Random effects accounting for unobserved heterogeneity. is the correct answer here. Group-level variation. It aligns directly with what the question asks about how is frailty models best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q81. Which option best describes concordance index (C-index)?
Select an answer to check.
Answer: Probability that predicted higher risk has earlier event.
Here, Probability that predicted higher risk has earlier event. is the right choice. Standard survival metric. This matches the core idea being tested around which option best describes concordance index (c-index). The remaining choices fail because they don’t satisfy the full definition.
Q82. What is the primary purpose of concordance index (C-index)?
Select an answer to check.
Answer: Probability that predicted higher risk has earlier event.
In this case, Probability that predicted higher risk has earlier event. is correct. Standard survival metric. This matches the core idea being tested around what is the primary purpose of concordance index. The remaining choices fail because they don’t satisfy the full definition.
Q83. Which statement about concordance index (C-index) is most accurate?
Select an answer to check.
Answer: Probability that predicted higher risk has earlier event.
The best option here is Probability that predicted higher risk has earlier event.. Standard survival metric. This matches the core idea being tested around which statement about concordance index (c-index) is most. The remaining choices fail because they don’t satisfy the full definition.
Q84. How is concordance index (C-index) best characterized?
Select an answer to check.
Answer: Probability that predicted higher risk has earlier event.
For this question, Probability that predicted higher risk has earlier event. is correct. Standard survival metric. This matches the core idea being tested around how is concordance index (c-index) best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q85. Which option best describes integrated Brier score?
Select an answer to check.
Answer: Time-integrated calibration measure.
Time-integrated calibration measure. is the correct answer here. Combines accuracy and calibration. This matches the core idea being tested around which option best describes integrated brier score. The remaining choices fail because they don’t satisfy the full definition.
Q86. What is the primary purpose of integrated Brier score?
Select an answer to check.
Answer: Time-integrated calibration measure.
Here, Time-integrated calibration measure. is the right choice. Combines accuracy and calibration. That is exactly the concept behind what is the primary purpose of integrated brier in this context. The remaining choices fail because they don’t satisfy the full definition.
Q87. Which statement about integrated Brier score is most accurate?
Select an answer to check.
Answer: Time-integrated calibration measure.
In this case, Time-integrated calibration measure. is correct. Combines accuracy and calibration. That is exactly the concept behind which statement about integrated brier score is most in this context. The remaining choices fail because they don’t satisfy the full definition.
Q88. How is integrated Brier score best characterized?
Select an answer to check.
Answer: Time-integrated calibration measure.
The best option here is Time-integrated calibration measure.. Combines accuracy and calibration. That is exactly the concept behind how is integrated brier score best characterized in this context. The remaining choices fail because they don’t satisfy the full definition.
Q89. Which option best describes survival ML?
Select an answer to check.
Answer: Random survival forests, DeepSurv, etc.
For this question, Random survival forests, DeepSurv, etc. is correct. Nonlinear survival prediction. That is exactly the concept behind which option best describes survival ml in this context. The remaining choices fail because they don’t satisfy the full definition.
Q90. What is the primary purpose of survival ML?
Select an answer to check.
Answer: Random survival forests, DeepSurv, etc.
Random survival forests, DeepSurv, etc. is the correct answer here. Nonlinear survival prediction. That is exactly the concept behind what is the primary purpose of survival ml in this context. The remaining choices fail because they don’t satisfy the full definition.
Q91. Which statement about survival ML is most accurate?
Select an answer to check.
Answer: Random survival forests, DeepSurv, etc.
Here, Random survival forests, DeepSurv, etc. is the right choice. Nonlinear survival prediction. It fits the requirement in the prompt about which statement about survival ml is most accurate. The remaining choices fail because they don’t satisfy the full definition.
Q92. How is survival ML best characterized?
Select an answer to check.
Answer: Random survival forests, DeepSurv, etc.
In this case, Random survival forests, DeepSurv, etc. is correct. Nonlinear survival prediction. It fits the requirement in the prompt about how is survival ml best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q93. Which option best describes personalized survival prediction?
Select an answer to check.
Answer: Individual-level survival curves.
The best option here is Individual-level survival curves.. From models with covariates. It fits the requirement in the prompt about which option best describes personalized survival prediction. The remaining choices fail because they don’t satisfy the full definition.
Q94. What is the primary purpose of personalized survival prediction?
Select an answer to check.
Answer: Individual-level survival curves.
For this question, Individual-level survival curves. is correct. From models with covariates. It fits the requirement in the prompt about what is the primary purpose of personalized survival. The remaining choices fail because they don’t satisfy the full definition.
Q95. Which statement about personalized survival prediction is most accurate?
Select an answer to check.
Answer: Individual-level survival curves.
Individual-level survival curves. is the correct answer here. From models with covariates. It fits the requirement in the prompt about which statement about personalized survival prediction is most. The remaining choices fail because they don’t satisfy the full definition.
Q96. How is personalized survival prediction best characterized?
Select an answer to check.
Answer: Individual-level survival curves.
Here, Individual-level survival curves. is the right choice. From models with covariates. This is the most accurate statement for how is personalized survival prediction best characterized. The remaining choices fail because they don’t satisfy the full definition.
Q97. Which option best describes right-censored loss?
Select an answer to check.
Answer: Loss accounting for partial observations.
In this case, Loss accounting for partial observations. is correct. E.g., Cox partial likelihood. This is the most accurate statement for which option best describes right-censored loss. The remaining choices fail because they don’t satisfy the full definition.
Q98. What is the primary purpose of right-censored loss?
Select an answer to check.
Answer: Loss accounting for partial observations.
The best option here is Loss accounting for partial observations.. E.g., Cox partial likelihood. This is the most accurate statement for what is the primary purpose of right-censored loss. The remaining choices fail because they don’t satisfy the full definition.
Q99. Which statement about right-censored loss is most accurate?
Select an answer to check.
Answer: Loss accounting for partial observations.
For this question, Loss accounting for partial observations. is correct. E.g., Cox partial likelihood. This is the most accurate statement for which statement about right-censored loss is most accurate. The remaining choices fail because they don’t satisfy the full definition.
Q100. How is right-censored loss best characterized?
Select an answer to check.
Answer: Loss accounting for partial observations.
Loss accounting for partial observations. is the correct answer here. E.g., Cox partial likelihood. This is the most accurate statement for how is right-censored loss best characterized. The remaining choices fail because they don’t satisfy the full definition.