However, you must do all written work by yourself,īoth computer programs and answers to homework questions. Efiles should be sent through email directly and will be used to only random check.Ĭollaboration on homework is allowed and can be helpful (and fun).Ĭollaboration on homework is encouraged, both for using the computer andįor doing problems. Submitting efiles will be counted for 5% of your grade. If all calculation are done by hand, please also email TA saying no program is used.
On the midterm (around 20%), and on the takehome final (around 25%).Įlectonic files of your programs are required within 24 hours of due day.Įfiles should be sent to TA through email directly and will be used for Grades will be based on the homework sets (around 50%), There will be around five homework sets, one midterm, and a (The problem assignments will be given at least 2 weeks before the due date.) If you turn in your final within 24 hours after due date, the grade will be scaled by 60%. In-class midterm will be given on Oct.27 (Thur.).įinal will be a take-home-exam and due on Dec. Survival and hazard functions, suitable parametric distributions for lifetime data, life-table technique and population standardization, Kaplan-Meier (product limit) survival curve estimation, nonparametric hypothesis testing for censored data, log-rank test, parametric regression models for lifetime data, logistic regression, Cox proportional hazard models, Cox model with time-independent and time-dependent covariates. It is useful for Actuarial Exams and important for biostatisticians.Įmail: Hours: Tue. This is an upper level of undergraduate or master level course. Techniques developed in survival analysis are also used in reliability research of business and engineering. For example, in a cancer study, a patient may leave the country and stop visiting clinical center before responding to treatment.
Different from other type of data, survival times usually have skewed distribution and include censoring observations. Lifetime data (survival data) are commonly encountered in epidemiology, biostatistics, biomedical and clinical studies.
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