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via Udemy |
Go to Course: https://www.udemy.com/course/survival-analysis-using-spss/
Certainly! Here’s a detailed review and recommendation for the Coursera course titled "Survival Analysis using SPSS, Simplified in Arabic": --- **Course Title:** Survival Analysis using SPSS, Simplified in Arabic **Overview:** This course is designed to demystify the complex topic of survival analysis, a critical area in medical statistics and research. Delivered through short, engaging videos in both Arabic and English, it provides a practical approach to understanding survival analysis techniques and their implementation using SPSS. The course covers essential topics such as the Kaplan-Meier curve, Log Rank test, Cox regression, and real-world application using SPSS. Additionally, it offers downloadable training files and illustrative examples to enhance learning. **Target Audience:** This course is well-suited for students, researchers, and healthcare professionals involved in medical statistics or clinical research. A basic understanding of statistics and familiarity with SPSS are recommended prerequisites for optimal comprehension. If you are new to SPSS, the course suggests supplementing your learning with a dedicated introductory course or the accompanying textbook, *Applied Medical Statistics For Beginners*. **Content and Learning Outcomes:** Participants will learn how to analyze survival data, interpret survival curves, compare different groups, and apply regression models to identify significant factors affecting survival. The bilingual format and practical examples facilitate better understanding for Arabic-speaking learners and those comfortable with English, making complex concepts accessible. **Course Strengths:** - Clear, concise videos in Arabic and English - Practical applications using SPSS, a widely used statistical software - Downloadable files for hands-on practice - Focus on real-life scenarios like cancer survival, hospital discharge, and tumor recurrence **Considerations:** While the course provides a solid overview of survival analysis techniques, it assumes some prior knowledge of statistics and SPSS. Beginners without any prior experience in SPSS may need additional resources to fully grasp the software's functionalities. --- ### **My Recommendation:** If you are looking to enhance your understanding of survival analysis specifically within the context of medical statistics, this course is a valuable resource—especially if you prefer learning in Arabic or bilingual formats. It offers practical insights and step-by-step guidance that can help you apply statistical methods to real datasets. However, beginners with no prior experience in SPSS or statistics might find it helpful to start with an introductory course on SPSS and basic statistics to maximize the benefits of this course. For those interested in further strengthening their foundation, I recommend pairing this course with the accompanying textbook, *Applied Medical Statistics For Beginners*, for a more comprehensive grasp. --- ### **Final Verdict:** **Highly recommended for intermediate learners or professionals in medical research looking to master survival analysis with practical SPSS applications.** It bridges language barriers and provides clear, applied knowledge essential for medical statisticians, researchers, and healthcare analysts. ---
هذا الكورس عبارة عن فيديوهات قصيرة بالعربية والانجليزية لتوضيح الموضوع وطريقة تنفيذه باستخدام البرنامج مع أمثلة توضيحية وملفات للتدريب تغطى الموضوعات التالية:- Survival analysis - Kaplan-Meier curve- Log Rank test- Cox regression- Application using SPSSالكورس يتطلب معرفة بأساسيات الاحصاء ، ومعرفة مسبقة ببرنامج SPSS--إذا لم تكن لديك خبرة سابقة فى استخدام البرنامج ، ستساعدك الفيديوهات على فهم الموضوع ولكن التطبيق قد لا يكون يسيرا لتعلم برنامج SPSS من البداية يمكنك الاشتراك فى الكورس الآخر المخصص لذلك--للمزيد يمكنك تحميل كتابنا فى الإحصاء Applied Medical Statistics For Beginners.نتمنى لكم خالص الفائدة --Learning Survival analysis is important for those who are studying medical statistics. Survival analysis is concerned with the time until an event occurs (time to event). This event is usually death, as survival after breast cancer, but can be any other event.Examples:· Time from operation to death.· Time from response till the recurrence of a tumour.· Time from operation to discharge from the hospital.--Learning Survival analysis is important for those who are studying medical statistics. Survival analysis is concerned with the time until an event occurs (time to event). This event is usually death, as survival after breast cancer, but can be any other event.Examples:· Time from operation to death.· Time from response till the recurrence of a tumour.· Time from operation to discharge from the hospital.