Statistical Data Editing in Scientific Articles

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Statistical Data Editing in Scientific Articles

Scientific journals are important scholarly forums for sharing research findings. Editors have important roles in safeguarding standards of scientific publication and should be familiar with correct presentation of results, among other core competencies. Editors do not have access to the raw data and should thus rely on clues in the submitted manuscripts. To identify probable errors, they shoul...

متن کامل

5 Statistical Data Editing

Statistical Data Editing (SDE) is the process of checking data for errors and correcting them. Winkler (1999) defined it as the set of methods used to edit (i.e., clean up) and impute (fill in) missing or contradictory data. The result of SDE is data that can be used for analytic purposes. Editing literature goes back to the 1960s with the contributions of Nordbotten (1965), Pritzker, et al. (1...

متن کامل

Annotating Relations in Scientific Articles

Relations (ABBREVIATE, EXEMPLIFY, ORIGINATE, REL WORK, OPINION) between entities (citations, jargon, people, organizations) are annotated for PubMed scientific articles. We discuss our specifications, pre-processing and evaluation.

متن کامل

Interpreting Scientific Articles

In your comparison, focus on the following criteria, which should also serve as the guidelines for creating your “good” and “bad” articles. • Does the article accurately report the methods and findings of the paper? • Are the scientific details explained at an understandable level without being needlessly technical or overly simplified? • Is the significance or impact of the paper accurately re...

متن کامل

Data Driven Techniques for Organizing Scientific Articles Relevant to Biomimicry

Life on earth presents elegant solutions to many of the challenges innovators and entrepreneurs across disciplines face every day. To facilitate innovations inspired by nature, there is an emerging need for systems that bring relevant biological information to this application-oriented market. In this paper, we discuss our approach to assembling a system that uses machine learning techniques to...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Korean Medical Science

سال: 2017

ISSN: 1011-8934,1598-6357

DOI: 10.3346/jkms.2017.32.7.1072