Big Data Affluence in Statistics Application: A Comparison of Real Life and Simulated Open Data

Mapping Intimacies ◽

10.52041/iase.20102 ◽

2020 ◽

Author(s):

Nureni Adeboye ◽

◽

Oyedunsi Olayiwola ◽

Keyword(s):

Big Data ◽

Real Life ◽

Open Data ◽

Large Data ◽

Learning Ability ◽

Sufficient Data ◽

Data Repositories ◽

Classroom Activities ◽

Life Data ◽

Real Life Data

Large data repositories or database management still remain a mirage and tough challenge to accomplish by most developing countries and establishments around the globe. This necessitates the need to improvise on the gathering of suitable data with a good spread to serve as a complement, in the absence of sufficient real-life data. Statisticians are increasingly posed with thought-provoking and even paradoxical questions, challenging our qualiﬁcations for entering the statistical paradises created by Big Data. Through classroom activities that involved both sourced real-life and simulated big data in R-environment, models were built and estimates obtained from the adopted techniques revealed the robustness of simulated datasets in a unified observation with improved significant values as reflected in the results. Students appreciated the use of such big data as it enhances their machine learning ability and the availability of sufficient data without delay.

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Susan G. Komen Big Data for Breast Cancer Initiative: How Patient Advocacy Organizations Can Facilitate Using Big Data to Improve Patient Outcomes

JCO Precision Oncology ◽

10.1200/po.19.00184 ◽

2019 ◽

pp. 1-9

Author(s):

Jerome Jourquin ◽

Stephanie Birkey Reffey ◽

Cheryl Jernigan ◽

Mia Levy ◽

Glendon Zinser ◽

...

Keyword(s):

Breast Cancer ◽

Big Data ◽

Patient Outcomes ◽

Data Science ◽

Real Life ◽

Large Data ◽

Patient Advocacy ◽

Imaging Data ◽

Data Repositories ◽

Improve Patient

Integrating different types of data, including electronic health records, imaging data, administrative and claims databases, large data repositories, the Internet of Things, genomics, and other omics data, is both a challenge and an opportunity that must be tackled head on. We explore some of the challenges and opportunities in optimizing data integration to accelerate breast cancer discovery and improve patient outcomes. Susan G. Komen convened three meetings (2015, 2017, and 2018) with various stakeholders to discuss challenges, opportunities, and next steps to enhance the use of big data in the field of breast cancer. Meeting participants agreed that big data approaches can enhance the identification of better therapies, improve outcomes, reduce disparities, and optimize precision medicine. One challenge is that databases must be shared, linked with each other, standardized, and interoperable. Patients want to be active participants in research and their own care, and to control how their data are used. Many patients have privacy concerns and do not understand how sharing their data can help to effectively drive discovery. Public education is essential, and breast cancer researchers who are skilled in using and analyzing big data are needed. Patient advocacy groups can play multiple roles to help maximize and leverage big data to better serve patients. Komen is committed to educating patients on big data issues, encouraging data sharing by all stakeholders, assisting in training the next generation of data science breast cancer researchers, and funding research projects that will use real-life data in real time to revolutionize the way breast cancer is understood and treated.

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Abstract #601 Mortality; Major Adverse Cardiovascular Events (Mace) and Weight are Reduced in 400 Hypogonadal Men on Long-Term Testosterone Therapy (TTH) Compared to 376 Untreated Hypogonadal Controls: Real-Life Data from A 10-Year Registry

Endocrine Practice ◽

10.1016/s1530-891x(20)47240-4 ◽

2018 ◽

Vol 24 ◽

pp. 143

Author(s):

Farid Saad ◽

Ahmad Haider ◽

Karim Haider ◽

Gheorghe Doros ◽

Abdulmaged Traish

Keyword(s):

Cardiovascular Events ◽

Real Life ◽

Major Adverse Cardiovascular Events ◽

Testosterone Therapy ◽

Life Data ◽

Real Life Data

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Abstract #1216 Improvement of Blood Pressure (Bp); Heart Rate and Other Hemodynamic Markers in Hypogonadal Patients with Hypertension Receiving Long-Term Testosterone Therapy (Tth) Compared to Untreated Hypogonadal Controls: Real-Life Data from a 10-Year Registry

Endocrine Practice ◽

10.1016/s1530-891x(20)47508-1 ◽

2018 ◽

Vol 24 ◽

pp. 312-313

Author(s):

Farid Saad ◽

Ahmad Haider ◽

Karim Haider ◽

Gheorghe Doros ◽

Abdulmaged Traish

Keyword(s):

Blood Pressure ◽

Heart Rate ◽

Real Life ◽

Testosterone Therapy ◽

Life Data ◽

Real Life Data

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Neuropsychology in the Real World

Zeitschrift für Neuropsychologie ◽

10.1024/1016-264x/a000139 ◽

2014 ◽

Vol 25 (4) ◽

pp. 233-238 ◽

Cited By ~ 2

Author(s):

Martin Peper ◽

Simone N. Loeffler

Keyword(s):

Neuropsychological Assessment ◽

Real World ◽

Ecological Validity ◽

Real Life ◽

Emotional States ◽

Context Sensitive ◽

Traditional Assessment ◽

Life Data ◽

Real Life Data ◽

Assessment And Treatment

Current ambulatory technologies are highly relevant for neuropsychological assessment and treatment as they provide a gateway to real life data. Ambulatory assessment of cognitive complaints, skills and emotional states in natural contexts provides information that has a greater ecological validity than traditional assessment approaches. This issue presents an overview of current technological and methodological innovations, opportunities, problems and limitations of these methods designed for the context-sensitive measurement of cognitive, emotional and behavioral function. The usefulness of selected ambulatory approaches is demonstrated and their relevance for an ecologically valid neuropsychology is highlighted.

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