Topics to be covered

1.       Data Cleaning and Preparation

2.       Predictive Analytics

3.       Prescriptive Analytics

4.       Exploratory Data Analysis

5.       Hypothesis Testing

Methodology: Live Hands-on Training, No Recorded Videos, E-certificate will be provided.

🔍 Learn Survival Analysis the Practical Way!

Topics Covered

1. Introduction

·         Overview of Survival Analysis, jamovi, and R

2. Basic Concepts

·         Survival Functions and Interpretation

3. Nonparametric Estimation

·         Kaplan–Meier and Nelson–Aalen Estimators

4. Comparing Survival Distributions

·         Log-rank, Gehan, Tarone–Ware, and Peto–Peto Tests

5. Cox Proportional Hazards Model

6. Parametric Regression Models

7. Competing Risks Analysis

·         Cumulative Incidence Function (CIF)

·         Covariate Testing: Gray’s Method, Pepe & Mori’s Method

·         Modeling with Competing Risks: Cause-Specific and Subdistribution Hazards

👥 Who Can Attend

Open to Epidemiologists, Biostatisticians, Clinical Researchers, Medical Practitioners, Engineering Researchers, Data Scientists, Sociologists, Psychologists, Marketing Professionals, Economists, Research Scholars, and Faculty Members.

🧠 Methodology

• Clear theoretical explanations with simple examples

• Live hands-on sessions (NO recorded videos)

• E-certificate will be provided to all participants