Proceedings of the 2nd International Conference on Culture, Design and Social Development (CDSD 2022)

A Review of Survival Analysis Theory and Its Application

Authors
Yulu Liu1, 1, *
1Binzhou Medical University, Yantai, China
*Corresponding author. Email: 3189849202@qq.com
Corresponding Author
Yulu Liu
Available Online 1 March 2023.
DOI
10.2991/978-2-38476-018-3_54How to use a DOI?
Keywords
survival analysis; survival time; application situation in China; foreign application situation
Abstract

Marshall McLuhan, a famous Canadian communication scientist, has proposed a far-reaching view of media: media and information. Emphasizing that the media itself is the truly meaningful information, the basic driving force for social development, and the symbol to distinguish between different social forms. With the advent of the Internet era and the development of modern science and technology, people fragmented reading habits, short video as different from text, pictures, audio of a new media form, has become the audience, an important means, is gradually transformed into people's daily life, by the academic and industry, so myopic, frequency news as a new product under the background of the mobile Internet era, the research, has a strong practical significance and theoretical value. Most of the existing research on micro-documentaries focuses on the innovative exploration and narrative strategies in the era of financial media. This paper takes the fourth season of Momstant China as the analysis object, and adopts the sample analysis method and the literature research method to explore how micro-documentaries reflect on the form of the creation or the content of the audience, so as to help the creators achieve the best communication effect in the following works. It introduced the relevant concepts and meanings of the survival analysis method, and uses the hazard rate function, cumulative distribution function, survival function, and cumulative hazard rate function to describe the concept of survival time. Secondly, the application of survival analysis method in various industries at home and abroad is reviewed. Through the review of domestic and foreign applications, it is found that although the survival analysis method was first only applied in the medical field, it has been widely used by more and more scholars in other fields due to its advantages in processing the censored data.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Conference on Culture, Design and Social Development (CDSD 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
1 March 2023
ISBN
978-2-38476-018-3
ISSN
2352-5398
DOI
10.2991/978-2-38476-018-3_54How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Yulu Liu
PY  - 2023
DA  - 2023/03/01
TI  - A Review of Survival Analysis Theory and Its Application
BT  - Proceedings of the 2nd International Conference on Culture, Design and Social Development (CDSD 2022)
PB  - Atlantis Press
SP  - 477
EP  - 487
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-018-3_54
DO  - 10.2991/978-2-38476-018-3_54
ID  - Liu2023
ER  -