Podcast
Questions and Answers
Who co-authored the reference book for survival analysis and the survival package?
Who co-authored the reference book for survival analysis and the survival package?
- Terry Therneau and Patricia Grambsch (correct)
- Patricia Grambsch
- Terry Therneau
- Terry Grambsch
Which package provides tools used in the workshop to estimate survival analysis models and tests?
Which package provides tools used in the workshop to estimate survival analysis models and tests?
- broom
- ggplotZ
- survival (correct)
- survminer
What is the function of the survmi ner package used in the workshop?
What is the function of the survmi ner package used in the workshop?
- Fit a Cox proportional hazards model
- Create highly customizable plots of survival functions (correct)
- Estimate survival functions
- Clean up output tables and store them as data frames
Which researcher and expert in survival analysis created the survival package used in the workshop?
Which researcher and expert in survival analysis created the survival package used in the workshop?
What is the purpose of the broom package used in the workshop?
What is the purpose of the broom package used in the workshop?
Which package is used for creating highly customizable plots of survival functions?
Which package is used for creating highly customizable plots of survival functions?
What does the su rvi val package in R aim to do?
What does the su rvi val package in R aim to do?
What did Grambsch and Therneau develop related to the Cox model assumption?
What did Grambsch and Therneau develop related to the Cox model assumption?
What is one reason for using the survmi ner package in the workshop?
What is one reason for using the survmi ner package in the workshop?
Who created some of the methods used to assess the proportional hazards assumption of the Cox model?
Who created some of the methods used to assess the proportional hazards assumption of the Cox model?
In survival analysis, what is the simplest data structure for a typical survival analysis?
In survival analysis, what is the simplest data structure for a typical survival analysis?
What does the Surv() function in R specify for survival outcomes?
What does the Surv() function in R specify for survival outcomes?
When might bias occur in survival estimates due to informative censoring?
When might bias occur in survival estimates due to informative censoring?
What does the jasal dataset represent in terms of survival analysis data structure?
What does the jasal dataset represent in terms of survival analysis data structure?
What does the survival function estimate in survival analysis?
What does the survival function estimate in survival analysis?
What is the hazard function, h(t), in survival analysis?
What is the hazard function, h(t), in survival analysis?
What does the cumulative hazard function, H(t), show in survival analysis?
What does the cumulative hazard function, H(t), show in survival analysis?
What is censoring in survival analysis?
What is censoring in survival analysis?
What do most survival analysis methods assume about censoring?
What do most survival analysis methods assume about censoring?
What may lead to biased estimates of survival in survival analysis?
What may lead to biased estimates of survival in survival analysis?
What is commonly used to estimate survival functions and compare survival curves in survival analysis?
What is commonly used to estimate survival functions and compare survival curves in survival analysis?
What does the median survival time represent in survival analysis?
What does the median survival time represent in survival analysis?
What is inversely related to the cumulative hazard function in survival analysis?
What is inversely related to the cumulative hazard function in survival analysis?
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Study Notes
Survival Analysis: Key Concepts and Methods
- Survival analysis models the time before an event occurs, with the outcome variable referred to as survival time, failure time, or time to event.
- The survival function estimates the probability that a subject survives without experiencing the event past a certain time.
- The survival curve expresses the probability of a subject surviving beyond specific time points.
- The median survival time is the time at which 50% of the population is expected to still be surviving.
- The hazard function, h(t), is the instantaneous rate of events at time t, given that the subject has survived until time t.
- The cumulative hazard function, H(t), shows how much hazard a subject has accumulated up to time t.
- The survival function is inversely related to the cumulative hazard function.
- Censoring in survival analysis can be right-censoring, left-censoring, or interval censoring, and it is crucial to handle it appropriately.
- Most survival analysis methods assume non-informative censoring, where censoring times and survival times are unrelated.
- Failing to account for informative censoring may lead to biased estimates of survival.
- The Kaplan-Meier estimator is commonly used to estimate survival functions and compare survival curves.
- Survival analysis has broad applications across various fields, as it can be applied to diverse events such as disease contraction, divorce, machine malfunction, and job occurrence.
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