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Survival analysis: Quiz


Question 1: In the case of biological survival, ________ is unambiguous, but for mechanical reliability, failure may not be well-defined, for there may well be mechanical systems in which failure is partial, a matter of degree, or not otherwise localized in time.
ImmortalityBurialDeathDeath and culture

Question 2: Survival/Failure Time Analysis @ ________' Textbook Page
Regression analysisStatisticsProbabilityMathematical statistics

Question 3: The ________ for a survival model, in the presence of censored data, is formulated as follows.
Ronald FisherLikelihood functionNormal distributionMaximum likelihood

Question 4: The study of recurring events is relevant in ________, and in many areas of social sciences and medical research.
Optimization (mathematics)Reliability engineeringSafety engineeringSystems engineering

Question 5: where t is some time, T is a random variable denoting the time of death, and "Pr" stands for ________.
Frequency probabilityStatisticsProbabilityBayesian inference

Question 6: The expected number of survivors, in a ________ of n individuals, is n × S(t), assuming the same survival function for all.
Population growthPopulationWorld populationOverpopulation

Question 7: In mechanical reliability problems, one can bring cost (or ________, more generally) into consideration and solve problems concerning repair or replacement.
UtilityUtilitarianismRational choice theoryJeremy Bentham

Question 8: This topic is called reliability theory or reliability analysis in engineering, and duration analysis or duration modeling in ________ or sociology.
EconomicsMoneyKeynesian economicsHeterodox economics

Question 9: The ________ outlined below assumes well-defined events at specific times; other cases may be better treated by models which explicitly account for ambiguous events.
EmpiricismScientific methodMathematicsTheory

Question 10: Survival analysis is a branch of ________ which deals with death in biological organisms and failure in mechanical systems.
Mathematical statisticsRegression analysisStatisticsProbability


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