Course Contents
Introduction: Basic Concepts, Censoring, types of Censoring, Survival Functions, relationship between Survival, Hazard and Density functions, Survival Curves, Estimation of Survivorship functions for different parametric distributions. Non- Parametric Estimation of Survival Functions, Non- Parametric Methods for Comparing Survival Distributions. Some Well-Known Survival Distributions and their Applications, Estimation Procedure for Parametric Survival Distributions without Covariates, Graphical method for Survival Distribution Fitting, Test of Goodness of Fit and Distribution Selection. Parametric Methods for Regression Model Fitting and Identification of Prognostic Factors, Identification of Prognostic Factors related to Survival Time: Cox Proportional Hazard Model, Identification of Prognostic Factors related to Survival Time: Non Proportional Hazard Function.
Course Synopsis
Introduction of the basic concepts of survival data analysis techniques and techniques developed for comparison of survival distributions for censored data. To enable students for modeling of survival data and to understand research employing various survival data analysis. To learn the usage of appropriate statistical software for survival analysis.
Course Learning Outcomes
Having successfully completed this course students will be able to:
• Understand the key features of lifetime data, including censoring, probability function, survival function, hazard function.
• Do comparison of survival distributions of two or more than two groups using parametric and non-parametric methods.
• Select the appropriate distribution of survival time.
• Understand the theory underlying survival models and their estimation and how to fit models, including the Kaplan-Meier estimate of the survival function, parametric models and the Cox regression model. Interpretation of results obtained from fitting survival models.
• Use of different statistical software and packages for application of survival techniques.
• Apply survival techniques on real life data.
Exponential & Weibull Distribution: Illustration with practical examples by LEARN & APPLY: Lean and Six Sigma
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The Normal Distribution and the 68-95-99.7 Rule (5.2) by Simple Learning Pro
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3 2 Lognormal Distribution by Maalik Kaptue
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Gamma Distribution Definition by Lawrence Leemis
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Generalized Gamma Distribution by Statgraphics Technologies, Inc.
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Log-logistic distribution by Audiopedia
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MLE Under Survival Data TYpe I and Type II Censoring V1 by Vidya-mitra
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Parametric Survival Models by Vidya-mitra
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Stata Weibull regression by 272analytics Videos
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Interpreting Hazard Ratios by Terry Shaneyfelt
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Fit a Cox proportional hazards model and check proportional-hazards assumption with Stata® by StataCorp LLC
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Intro to survival analysis with STATA video 3 (Cox Regression demo) by Mike Crowson
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Book Title : Statistical Methods for Survival Data Analysis
Author : Lee Elisa T., Wang John Wenyu
Edition : 3rd Edition
Publisher : Wiley
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Book Title : Survival-analysis-A self-learning text
Author : David G. Kleinbaum and Mitchel Klein
Edition : 3rd
Publisher : Springer
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Title : Introduction survival data analysis
Type : Presentation
View Introduction survival data analysis
Title : Functions of Survival Time
Type : Presentation
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Title : Non Parametric Methods for Estimating Survival Function
Type : Presentation
View Non Parametric Methods for Estimating Survival Function
Title : Nonparametric Methods for Comparing Survival Distributions_1
Type : Presentation
View Nonparametric Methods for Comparing Survival Distributions_1
Title : Nonparametric Methods for Comparing Survival Distributions_2
Type : Presentation
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Title : Nonparametric Methods for Comparing Survival Distributions_3
Type : Presentation
View Nonparametric Methods for Comparing Survival Distributions_3
Title : Some Well known parametric distribution
Type : Presentation
View Some Well known parametric distribution
Title : Graphical Method for Survival Distribution Fitting_Probability Plotting
Type : Presentation
View Graphical Method for Survival Distribution Fitting_Probability Plotting
Title : Chapter 9 Test of goodness of fit and distribution selection
Type : Presentation
View Chapter 9 Test of goodness of fit and distribution selection
Title : Chapter 10 Parametric methods for comparing two survival distributions
Type : Presentation
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Title : Parametric regression models_chapter 11
Type : Presentation
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Title : Cox Proportional Model_PARTIAL LIKELIHOOD FUNCTION FOR SURVIVAL TIMES
Type : Presentation
View Cox Proportional Model_PARTIAL LIKELIHOOD FUNCTION FOR SURVIVAL TIMES
Title : Cox Model
Type : Presentation
View Cox Model
Title : Lee Elisa T., Wang John Wenyu - Statistical Methods for Survival Data Analysis (3rd Edition, Wiley)
Type : Curriculum Book
View Lee Elisa T., Wang John Wenyu - Statistical Methods for Survival Data Analysis (3rd Edition, Wiley)
Title : survival-analysis-self-learning-Klienbaum and Klien book
Type : Curriculum Book
View survival-analysis-self-learning-Klienbaum and Klien book