Difference between revisions of "SMHS Format"
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The [[SMHS| Scientific Methods for Health Sciences EBook]] is published by ''SOCR Publishing'' and made available to the entire community under a [[SMHS_copyright|permissive copyright policy]]. The materials, tools and demonstrations presented in this EBook may be helpful to learners, instructors and scientists involved in biomedical, healthcare, Big Data, and informatics studies. The EBook is initially developed by the University of Michigan [[SOCR | Statistics Online Computational Resource (SOCR)]]. However, many students, faculty, educators and member of the community participate in expanding, improving and validating the content of these learning materials. | The [[SMHS| Scientific Methods for Health Sciences EBook]] is published by ''SOCR Publishing'' and made available to the entire community under a [[SMHS_copyright|permissive copyright policy]]. The materials, tools and demonstrations presented in this EBook may be helpful to learners, instructors and scientists involved in biomedical, healthcare, Big Data, and informatics studies. The EBook is initially developed by the University of Michigan [[SOCR | Statistics Online Computational Resource (SOCR)]]. However, many students, faculty, educators and member of the community participate in expanding, improving and validating the content of these learning materials. | ||
Revision as of 13:38, 27 June 2014
Contents
Scientific Methods for Health Sciences - Preface
Overview
[Image:SMHS_WordCloud.png|250px|thumbnail|right| SMHS EBook ]] The Scientific Methods for Health Sciences EBook is published by SOCR Publishing and made available to the entire community under a permissive copyright policy. The materials, tools and demonstrations presented in this EBook may be helpful to learners, instructors and scientists involved in biomedical, healthcare, Big Data, and informatics studies. The EBook is initially developed by the University of Michigan Statistics Online Computational Resource (SOCR). However, many students, faculty, educators and member of the community participate in expanding, improving and validating the content of these learning materials.
Features
There are 4 novel features of this specific EBook. It is community-built, completely open-access (in terms of use and contributions), blends information technology, scientific techniques and modern pedagogical concepts, and is multilingual.
Background
The University of Michigan, School of Nusring (UMSN) enrolls over 1,000 students, with approximately 280 MSN, 26 DNP, and 60 PhD students. Annually, there are about 15 new UMSN doctorate students (DNP+PhD) admitted into the program. In addition, the University of Michigan Health Sciences (UMHS) includes dozens of schools, departments and institutes training hundreds of doctoral students in different quantitative, analytics, and health science disciplines. The UMSN Analytics Core has been charged by Dean Potempa to modernize the UMSN analytical methods curriculum and to:
- Improve the research skills of doctorate students,
- Reduce the observed broad variation of doctoral students’ research abilities,
- Increase the research output of the School as a whole.
The Charter of the Analytics Core is to provide doctoral healthscience students with rigorous analytics training and learning experience via a robust series of analytic courses offered by UMSN faculty. The Scientific Methods for Health Sciences EBook is designed specifically for the UMSN HS550-HS853 courses, which aim to reduce the variation of analytic skills, scientific knowledge and quantitative abilities of the health sciences graduate students. The unified objective of these courses is to prepare exclusive cadres of nursing and healthcare scientists capable of leading scientific teams in the conception of research proposals with strong methodological designs and analytic approaches to address innovative study aims.
- SOCR Home page: http://www.socr.umich.edu
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