How do you keep up with the latest developments and trends in survival analysis?

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Survival analysis is a branch of statistics that deals with the time until an event of interest, such as death, failure, or recovery, occurs. It is widely used in fields like medicine, engineering, biology, and social sciences. However, survival analysis is also a dynamic and evolving field, with new methods, models, and applications emerging regularly. How do you keep up with the latest developments and trends in survival analysis? Here are some tips to help you stay updated and informed.

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Osvaldo C.
Manish Mahawar

Business Intelligence || Public Policy || Data Governance || Project Management || Financial Management || Economic ||…

1 Follow key journals and conferences

Keeping up with the latest research and innovations in survival analysis is essential for staying current in the field. To do this, you should follow the publications and presentations of the leading experts and institutions. Examples of some of the most influential and relevant journals and conferences for survival analysis are the Journal of the American Statistical Association, Biometrics, Lifetime Data Analysis, Statistics in Medicine, Journal of Statistical Software, International Conference on Survival Analysis, International Biometric Conference, and International Conference on Health Policy Statistics. You can stay informed by subscribing to their newsletters, alerts, or RSS feeds or browsing their websites and archives regularly.

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Osvaldo C.
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El análisis de sobrevivencia es una herramienta para analizar el tiempo hasta que ocurre un evento. Estrategias para mejorar tus habilidades y conocimientos en análisis de supervivencia: ??Lee regularmente revistas como "Biometrics" y "Statistics in Medicine" ??Participa en cursos en plataformas como Coursera y edX ??Asiste a eventos organizados por ASA e IBS ??únete a comunidades en LinkedIn y ResearchGate ??Participa en webinars y talleres de universidades y empresas de software ??Mantente actualizado con software como R, SAS, y Python ??Sigue blogs y sitios especializados ??Colabora en proyectos y participa en estudios ??Busca mentores y participa en grupos de estudio ??Lee libros recientes sobre análisis de supervivencia.

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Manish Mahawar

Business Intelligence || Public Policy || Data Governance || Project Management || Financial Management || Economic || Prompt Engineering & Artificial Intelligence (AI)
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Consider these strategies to keep your survival analysis up to date. Academic journals: Read journals like Journal of Survival Analysis and Statistics in Medicine for cutting-edge research. Online courses/webinars: Platforms like Coursera and edX offer related courses. Conferences/Workshops: Attend events such as the Joint Statistical Conference (JSM) to build networks and insights. Professional network: Join organizations like the American Statistical Association (ASA) to get the latest information. Social Media/Blog: Follow thought leaders on Twitter and LinkedIn for insights. Research Collaboration: Participate in projects to learn new methods. Preprint repository: Check arXiv and bioRxiv for emerging trends.

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Jaideep Matto
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Staying abreast of survival analysis trends involves monitoring key journals and conferences, ensuring access to cutting-edge research and methodologies. Continuous engagement with scholarly publications and attending relevant conferences facilitates staying informed and adapting to evolving analytical approaches.

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Osvaldo C.
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Para mantenerse al día en análisis de supervivencia en R^n: suscríbete a revistas como Biometrics, Statistics in Medicine y Lifetime Data Analysis. Participa en conferencias como Joint Statistical Meetings (JSM) y International Biometric Conference (IBC), y sigue seminarios de la Society for Clinical Trials. cursos en: Coursera, edX y Datacamp, y obtén certificaciones relevantes. únete a foros como Cross Validated y Reddit, y asociaciones como la American Statistical Association (ASA). Sigue blogs como R-bloggers y The DO Loop (SAS). Utiliza redes sociales profesionales como Twitter y LinkedIn, y mantente al día con actualizaciones de herramientas como R(survival), Python (lifelines), SAS y SPSS, R, Python.

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2 Use online platforms and communities

Staying up-to-date with the latest developments and trends in survival analysis can be done by using online platforms and communities that facilitate the sharing and discussion of ideas, resources, and experiences among practitioners and researchers. Popular platforms for survival analysis include R-bloggers, a blog aggregator featuring posts on R programming and statistics; Stack Overflow, a question-and-answer site with many topics related to survival analysis; Cross Validated, a question-and-answer site focusing on statistics, machine learning, data analysis, data mining, and data visualization; and LinkedIn, a professional networking site allowing you to connect with other people interested in or involved with survival analysis. Here you can join groups, follow influencers, participate in discussions, or share your own insights and achievements related to survival analysis.

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Jaideep Matto
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Staying updated on survival analysis involves engaging with online platforms and communities, like forums, social media groups, and specialized websites. Active participation allows access to discussions, resources, and insights, ensuring awareness of the latest developments and trends in the field.

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3 Learn from online courses and books

Staying up to date with the latest developments and trends in survival analysis can be achieved by taking online courses or reading books that teach the theory and practice of the field. For example, DataCamp offers a free online course that covers the basics like censoring, Kaplan-Meier curves, Cox proportional hazards models, and parametric models. Applied Survival Analysis: Regression Modeling of Time-to-Event Data by David W. Hosmer Jr., Stanley Lemeshow, and Susanne May is a book that provides an in-depth introduction to survival analysis, with examples and exercises using SAS and R. Survival Analysis: A Self-Learning Text by David G. Kleinbaum and Mitchel Klein is another book that offers a comprehensive yet user-friendly guide to survival analysis, with examples and exercises using SPSS, SAS, and STATA. By learning from these resources, you can gain a better understanding of the concepts, methods, and applications of survival analysis as well as the latest developments and extensions.

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Jaideep Matto
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Staying current in survival analysis involves engaging with online courses and books. These resources offer insights into emerging methodologies, techniques, and trends, ensuring practitioners remain adept in analyzing time-to-event data for various applications in research, healthcare, and beyond.

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4 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Natalie Rodrigue

Biostatistician & Epidemiologist, Mentor for BioTech & MedTech Preclinical & Clinical Research, Genomics & Aeronautics. + 30 yrs experience.
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I believe that it's important to look at the development of survival analysis not just in the field you are working in but in various fields: medicine, engineering, economics, etc.

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Jaideep Matto
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Staying abreast of survival analysis entails engaging with scholarly publications, attending conferences, participating in workshops, joining online forums, following relevant blogs, leveraging social media networks, collaborating with peers, and continuously exploring new methodologies and applications.

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How do you keep up with the latest developments and trends in survival analysis?

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1 Follow key journals and conferences

2 Use online platforms and communities

3 Learn from online courses and books

4 Here’s what else to consider

Statistical Modeling

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