Survival Data Analysis in R : A basic guidance

May 17, 2024

Online

Dr. Shakeel Ahmed

Dr. Shakeel Ahmed has completed his Doctorate Degree in Statistics from the Department of Statistics Quaid-i-Azam University Islamabad and now working as an Assistant Professor at SNS, NUST, Islamabad Pakistan. Before joining NUST he worked at the Department of Mathematics and Statistics Institute of Business Management (IoBM) in Karachi, Pakistan for about six months. He won many merit-based scholarships during his academic career. Specifically, he won the Vice Chancellor’s Gold Medal in his M.Phil. Degree from Department of Statistics Quaid-i-Azam University Islamabad. Previously, he worked as a Biostatistician at Wah Medical College Wah Cantt, Pakistan before joining the IoBM. He is also an editorial board member of BMC Public Health in the Biostatistics section. He has working and research supervision experience at the University of Lahore Sargodha Campus for one year. Till the completion of PhD degree, he published about 14 Publications in reputed international journals including topics on parameter estimation under different sampling designs. Specifically, he has an interest in model-based parameter estimation using machine learning algorithms and Bayesian prediction theory. With theoretical and methodological development his research is also focused on the application of the developed model to analyze data in Health Sciences, Demography and Epidemiology.

Schedule:

6.00 pm: Announcements & Speaker Introduction
6.05 pm: Presentation
6.50 pm: Q/A

About the Talk:

In this month's talk, we have invited Dr.Shakeel Ahmed to present his talk on Survival Data Analysis using R.

Survival analysis is a powerful tool used in various fields, including medicine, economics, and social sciences, to analyze time-to-event data. During the session, participants will learn the basics of survival analysis techniques in R, including fitting survival models, estimating survival probabilities, and conducting hypothesis tests.

The talk will delve into interpreting the analysis results, helping attendees understand how to draw meaningful conclusions from their data. Graphical representation of survival curves and plots will also be covered, enabling participants to effectively visualize their findings.

Whether you're new to survival analysis or looking to refresh your skills in R, this webinar will provide you with the essential guidance to get started and make informed decisions based on your survival data.

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