Registration summary
ConferenceICSATEM
ModeStandard / Physical
ParticipationListener
Registration fee$155.00
Bank charges (5.8%)$8.99
Total payable$163.99
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICSATEM conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advancements in Survival Analysis Techniques +
This track focuses on the latest methodologies and innovations in survival analysis, emphasizing new statistical techniques and their applications. Researchers are encouraged to present novel approaches that enhance the understanding of time-to-event data.
02 Hazard Models and Their Applications +
This session will explore various hazard models used in survival analysis, including proportional hazards and accelerated failure time models. Participants will discuss practical applications in fields such as biostatistics and epidemiology.
03 Reliability Theory in Time-to-Event Data +
This track addresses the intersection of reliability theory and survival analysis, focusing on the modeling of failure times and reliability functions. Contributions should highlight theoretical advancements and real-world applications.
04 Statistical Methods for Clinical Data Analysis +
This session invites discussions on statistical methodologies specifically tailored for analyzing clinical trial data. Emphasis will be placed on time-to-event outcomes and the implications for patient care.
05 Predictive Analytics in Survival Studies +
This track will delve into the use of predictive analytics in survival analysis, showcasing techniques that enhance forecasting and decision-making. Researchers are encouraged to present case studies demonstrating the impact of predictive models.
06 Machine Learning Approaches to Time-to-Event Modeling +
This session focuses on the integration of machine learning techniques with traditional survival analysis methods. Participants will explore how these approaches can improve model accuracy and interpretability.
07 Quantitative Methods in Epidemiological Research +
This track highlights the application of quantitative methods in epidemiological studies, particularly in analyzing time-to-event data. Contributions should focus on innovative statistical techniques that address public health challenges.
08 Simulation Techniques in Survival Analysis +
This session will cover the role of simulation in the development and validation of survival analysis models. Researchers are invited to share insights on simulation methodologies and their practical applications.
09 Risk Analysis and Management in Time-to-Event Studies +
This track will explore risk analysis frameworks within the context of time-to-event data, focusing on identifying and managing risks in various domains. Contributions should highlight both theoretical and applied perspectives.
10 Data Science Innovations in Survival Analysis +
This session will examine the role of data science in advancing survival analysis methodologies, including data mining and big data techniques. Participants are encouraged to present interdisciplinary approaches that leverage data science tools.
11 Artificial Intelligence in Biostatistics and Survival Analysis +
This track will explore the application of artificial intelligence in biostatistics, particularly in modeling and analyzing survival data. Researchers are invited to discuss the potential of AI to transform traditional statistical practices.
