BiteSizedChunks.comLearn one small thing at a time.

Course contentsShow

802What is Survival Analysis?
803Defining the Event and Time Origin
804Right Censoring
805Left and Interval Censoring
806Survival Functions and Hazard
807Survival Data Structure
808Business Applications of Survival Analysis
809Introduction to the Kaplan-Meier Estimator
810The Survival Function S(t)
811Computing the Kaplan-Meier Product
812Handling Event Times and Censoring
813The Risk Set at Each Time Point
814Standard Errors and Confidence Intervals
815Survival Curve Plots and Interpretation
816Median Survival Time
817Comparing Multiple Survival Curves
818What is the Log-Rank Test?
819Null Hypothesis in the Log-Rank Test
820Log-Rank Test Statistic
821Assumptions of the Log-Rank Test
822Interpreting Log-Rank Test Results
823Log-Rank Test vs Other Tests
824Multiple Group Comparisons
825What is the Cox Proportional Hazards Model?
826The Proportional Hazards Assumption
827Hazard Ratios and Interpretation
828Fitting the Cox Model
829Continuous and Categorical Predictors
830Testing Coefficient Significance
831Testing the Proportional Hazards Assumption
832Stratified Cox Models
833Time-Varying Covariates
834Model Diagnostics and Residuals
835Customer Churn Prediction with Survival Analysis
836Employee Turnover and Retention Analysis
837Product Warranty and Failure Analysis
838Subscription and Membership Duration Modeling
839Time-to-Conversion in Marketing Funnels
840Loan Default Timing and Credit Risk
841Campaign Response Time Analysis

802What is Survival Analysis?
803Defining the Event and Time Origin
804Right Censoring
805Left and Interval Censoring
806Survival Functions and Hazard
807Survival Data Structure
808Business Applications of Survival Analysis
809Introduction to the Kaplan-Meier Estimator
810The Survival Function S(t)
811Computing the Kaplan-Meier Product
812Handling Event Times and Censoring
813The Risk Set at Each Time Point
814Standard Errors and Confidence Intervals
815Survival Curve Plots and Interpretation
816Median Survival Time
817Comparing Multiple Survival Curves
818What is the Log-Rank Test?
819Null Hypothesis in the Log-Rank Test
820Log-Rank Test Statistic
821Assumptions of the Log-Rank Test
822Interpreting Log-Rank Test Results
823Log-Rank Test vs Other Tests
824Multiple Group Comparisons
825What is the Cox Proportional Hazards Model?
826The Proportional Hazards Assumption
827Hazard Ratios and Interpretation
828Fitting the Cox Model
829Continuous and Categorical Predictors
830Testing Coefficient Significance
831Testing the Proportional Hazards Assumption
832Stratified Cox Models
833Time-Varying Covariates
834Model Diagnostics and Residuals
835Customer Churn Prediction with Survival Analysis
836Employee Turnover and Retention Analysis
837Product Warranty and Failure Analysis
838Subscription and Membership Duration Modeling
839Time-to-Conversion in Marketing Funnels
840Loan Default Timing and Credit Risk
841Campaign Response Time Analysis

← Data Science

Lesson 804 of 2,145·21. Survival AnalysisPro lesson

Right Censoring

Understanding right censoring when subjects exit before the event occurs or the study ends.

This lesson is for subscribers

You've completed the free preview. Subscribe to unlock every lesson in every course.

See pricing Back to course