This advanced course offers an in-depth exploration of cancer survival analysis, focusing on statistical methods and practical applications for analysing cancer patient survival data. Participants will gain comprehensive knowledge of survival analysis techniques, learn to manage and analyse complex datasets and apply their findings to improve cancer research and patient outcomes. The course integrates theoretical instruction with hands-on practice, preparing participants to conduct high-quality survival analysis in cancer research.

Upon completion of this course, participants will be able to:

Understand the fundamental concepts and statistical methods in cancer survival analysis.
Develop skills in data management and preparation for survival analysis.
Learn to apply advanced survival analysis techniques using statistical software.
Interpret and communicate survival analysis results effectively.
Apply survival analysis methods to real-world cancer research.

This course is intended for:

Cancer researchers and epidemiologists
Public health professionals
Medical researchers specialising in oncology
Data analysts in health sciences
Graduate students in public health and epidemiology

The course employs a blend of instructional methods, including:

Interactive lectures
Hands-on data analysis sessions
Group discussions and case studies
Expert-led Q&A sessions
Comprehensive course materials and resources

Day 5 of each course is reserved for a Q&A session, which may occur off-site. For 10-day courses, this also applies to day 10

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ID	التواريخ المتاحة	المدينة	الرسوم	الإجراءات

Course Content

Section 1: Introduction to Cancer Survival Analysis

Overview of cancer epidemiology and survival studies
Key concepts in survival analysis: survival time, censoring, and survival functions
Introduction to statistical software for survival analysis

Section 2: Data Management for Survival Analysis

Preparing and cleaning cancer survival data
Handling missing data and censoring
Creating and managing datasets for survival analysis

Section 3: Advanced Survival Analysis Techniques

Kaplan-Meier survival curves and life tables
Cox proportional hazard models
Parametric survival models and competing risks

Section 4: Interpretation and Communication of Results

Interpreting survival analysis outputs
Visualising survival data and results
Effective communication of findings to diverse audiences

Section 5: Practical Applications and Case Studies

Hands-on survival analysis with real-world cancer datasets
Developing research questions and analysis plans
Case studies and collaborative problem-solving
Course review and expert Q&A

Certificate Details

عند إتمام هذه الدورة التدريبية بنجاح، سيحصل المشاركون على شهادة إتمام التدريب من Holistique Training. وبالنسبة للذين يحضرون ويكملون الدورة التدريبية عبر الإنترنت، سيتم تزويدهم بشهادة إلكترونية (e-Certificate) من Holistique Training.

شهادات Holistique Training معتمدة من المجلس البريطاني للتقييم (BAC) وخدمة اعتماد التطوير المهني المستمر (CPD)، كما أنها معتمدة وفق معايير ISO 9001 وISO 21001 وISO 29993.

يتم منح نقاط التطوير المهني المستمر (CPD) لهذه الدورة من خلال شهاداتنا، وستظهر هذه النقاط على شهادة إتمام التدريب من Holistique Training. ووفقًا لمعايير خدمة اعتماد CPD، يتم منح نقطة CPD واحدة عن كل ساعة حضور في الدورة. ويمكن المطالبة بحد أقصى قدره 50 نقطة CPD لأي دورة واحدة نقدمها حاليًا.