Regression Methods in Clinical Data Analysis

Aug 01 - Aug 03, 2024

This workshop aims to enhance your knowledge and skills in regression analysis techniques, empowering you to derive meaningful insights from health-related data.

Key Techniques Covered:

  • Linear Regression: Unravel the linear association between a continuous outcome variable and one or more predictor variables.
  • Logistic Regression: Explore the factors influencing the likelihood of binary outcomes (e.g., disease presence/absence).
  • Survival Analysis: Gain insights into the time it takes for an event (e.g., recovery, death) to occur, using techniques like:
    • Kaplan-Meier Estimation: Visualize the probability of event-free survival over time.
    • Log-Rank Test: Statistically compare survival curves between groups.
    • Cox Proportional Hazards Regression: Identify factors that influence the risk of an event over time, independent of when the observation began.

Benefits for Clinical Researchers:

  • Gain a deeper understanding of treatment effects and patient risk factors.
  • Develop robust statistical models for predicting clinical outcomes.
  • Communicate research findings effectively with clear and interpretable results.

Workshop Details:

Date: 25th to 27th July, 2024

Venue: St.John’s Medical College, Bangalore

Linear Regression

  • Simple and Multiple Linear Regression
  • Developing Prediction Models
  • Variable Selection Methods
  • Risk Factor Modelling
  • Model Diagnostic Assessment
  • Collinearity, Confounding, Effect Modification, and Interaction Analysis

Logistic regression

  • Categorical Data Analysis
  • Univariate and Multivariate Binary Logistic Regression Analysis
  • Estimating Odds Ratio and Adjusted Odds Ratio
  • Assessing Model Performance and Classification

Survival analysis & Cox regression

  • Time to Event Analysis
  • Survival Probability
  • Hazard Rate
  • Kaplan Meier Survival Time Estimation
  • Comparing Survival Curves
  • Log Rank Test
  • Cox Proportional Hazard Model
  • Hazard Ratio Estimation and Interpretation
  • Assessing Proportionality and Adjusting Time-Varying Covariates

Sample size calculation for regression coefficients

Faculties from Biostatistics department, St.John’s Medical college & Research Institute are highly experienced in the field and will provide comprehensive training on these topics. You will have the opportunity to engage in hands-on exercises and gain practical experience using statistical software JAMOVI. Additionally, the workshop encourages active participation and interaction among participants, fostering a collaborative learning environment.

Who Should Attend? This workshop is suitable for both faculty members and students who are involved in clinical research. Whether you are new to regression analysis or seeking to expand your expertise, this workshop will cater to your needs. It is an excellent opportunity to broaden your skill set and stay at the forefront of data analysis techniques in the health domain.

Registration: To secure your spot in the workshop, please visit our registration page at Regression Methods in Clinical Data Analysis . Spaces are limited, so we encourage you to register at your earliest convenience.