## Survival Analysis Assignment Homework Help

**Survival Analysis** is a branch of statistics for analyzing the expected duration of time until one or more events happen, such as death in biological organisms and failure in mechanical systems. Survival Analysis includes parametric, semi parametric and nonparametric methods. It is possible for students to use and compare them for distinct groups in order to estimate the most frequently employed measures in survival studies, survivor and hazard functions, and measure the association of predictor variables to survival time.

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- Competing risks & dependent censoring
- Counting process and martingales
- Descriptive methods for survival data
- Design studies with survival endpoints
- Different types of data structures (censoring, truncation)
- Exponential distribution
- Exponential-logarithmic distribution
- Interval censored survival data
- Issues pertaining to time dependent covariates
- Kaplanâ€“Meier estimator
- Likelihood inference: parametric analysis
- Log-logistic distribution
- Log-rank statistics and others
- Models and inference for multiariate data
- Multivariate survival analysis
- Nonparametric analysis under various data structures
- Non-proportional hazards
- Overview of the Cox and Weibull proportional hazards models
- Proportional hazards models
- Regression modeling of time to event data
- Reliability theory
- Retrospective correlative studies
- Semi-parametric linear model
- Time dependent covariates
- Two-sample comparison
- Weibull distribution
- z Proportional hazards model & AFT model