Is Mindfulness Effective?

Mind Cure ◽  
2019 ◽  
pp. 171-186
Author(s):  
Wakoh Shannon Hickey

This chapter asks whether mindfulness is as broadly effective and powerful as proponents claim and considers methodological and other critiques of clinical research on mindfulness. Neuroscientists have produced vivid images of meditators’ brains, using functional MRI and PET scans, which seem to show clear, positive changes attributed to meditation. Such images are effective rhetorically but are produced in a “black box” of assumptions, technological constraints, and human factors that make them less definitive than they may appear. Other types of studies rely on meditators’ self-reports, which are not always reliable. A major issue in clinical research is that mindfulness is inconsistently defined and may be measured by scientists unfamiliar with the ways that meditation is described in canonical texts and understood by experienced Buddhist teachers and yogis. While research data do suggest that mindfulness can be beneficial, it is not the panacea that some advocates seem to suggest it is.

1988 ◽  
Vol 66 (3) ◽  
pp. 801-802 ◽  
Author(s):  
E. Rae Harcum

An important principle to demonstrate in the first course in psychology is that correlation and causality are not the same. This note describes an apparatus useful in demonstrating the point: correlation does not necessarily imply causality. A black box contains a crank on one end and a flag on the other, without a connection between them. When the instructor overtly turns the crank and, in synchrony, covertly operates another mechanism to wave the flag, the students develop a strong delusion from the mere correlation of the two observed events that turning the crank causes the flag to wave. This demonstration becomes the basis for a discussion of this pitfall in interpreting both research data and life experiences.


10.28945/3201 ◽  
2008 ◽  
Author(s):  
Stephen Smith ◽  
Samuel Sambasivam

Electronic Data Capture (EDC) is increasingly being used in the pharmaceutical, biotech and medical device industries to gather research data worldwide from doctors, hospitals and universities participating in clinical trials. In this highly regulated environment, all systems and software must be thoroughly tested and validated, a task that is burdensome in terms of time and cost. Starting with database structures that are designed to be copied easily, this paper proposes a simple framework that allows for rapid development and minimal testing. The framework includes tools for building modules, for copying modules from one trial to the next, and tools to validate that the modules are the same as modules that have been fully tested previously. A proof-of-concept prototype has been built to demonstrate certain tools and techniques that can be used when designing and building a simplified EDC interface.


Author(s):  
Susan M. Hailpern

The Clinical Research Training Program (CRTP) at the Albert Einstein College of Medicine at Yeshiva University is a two-year program for physicians leading to a Master of Science degree in Clinical Research Methods. Beginning in July 2004, the program began teaching data analysis using Stata 8 in order to better meet the advanced statistical needs of the students. This paper details the structure and content of the course, how Stata was introduced, and the problems we encountered. Student comments and suggestions on future enhancements to Stata are included. Although challenging, our first semester teaching Stata was a success: the students all learned Stata and, more importantly, continued to use it for the analysis of their own research data after the course was complete.


2020 ◽  
Vol 108 ◽  
pp. 103491
Author(s):  
Lauren Houston ◽  
Ping Yu ◽  
Allison Martin ◽  
Yasmine Probst

1988 ◽  
Vol 32 (7) ◽  
pp. 468-472
Author(s):  
Andris Freivalds ◽  
Joseph H. Goldberg

With the ubiquitousness of personal computers (PCs), it is only natural that they should be utilized in human factors laboratories not only for research data collection but also as an educational tool. With large engineering classes, most labs cannot afford to have multiple meters and instruments to service several identical laboratory stations simultaneously. Instead, it is extremely helpful to have several PCs with programs depicting basic human factors principles running simultaneously with the other stations. Thus, the PC programs are not intended to eliminate hands-on experimentation, but to help alleviate loading problems and provide useful educational principles.


2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Geontae Noh ◽  
Ji Young Chun ◽  
Ik Rae Jeong

It is critical to scientific progress to share clinical research data stored in outsourced generally available cloud computing services. Researchers are able to obtain valuable information that they would not otherwise be able to access; however, privacy concerns arise when sharing clinical data in these outsourced publicly available data storage services. HIPAA requires researchers to deidentify private information when disclosing clinical data for research purposes and describes two available methods for doing so. Unfortunately, both techniques degrade statistical accuracy. Therefore, the need to protect privacy presents a significant problem for data sharing between hospitals and researchers. In this paper, we propose a controlled secure aggregation protocol to secure both privacy and accuracy when researchers outsource their clinical research data for sharing. Since clinical data must remain private beyond a patient’s lifetime, we take advantage of lattice-based homomorphic encryption to guarantee long-term security against quantum computing attacks. Using lattice-based homomorphic encryption, we design an aggregation protocol that aggregates outsourced ciphertexts under distinct public keys. It enables researchers to get aggregated results from outsourced ciphertexts of distinct researchers. To the best of our knowledge, our protocol is the first aggregation protocol which can aggregate ciphertexts which are encrypted with distinct public keys.


2017 ◽  
Vol 2 (Suppl 2) ◽  
pp. A19.1-A19
Author(s):  
Amélie Julé ◽  
Hazel Ashurst ◽  
Laura Merson ◽  
Piero Olliaro ◽  
Vicki Marsh ◽  
...  

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