[Use of personal computers for statistical analyses].

E Hannisdal; B Vonen

Home/Archive/PubMed

PubMed · 2000622

[Use of personal computers for statistical analyses].

E Hannisdal·B Vonen

View original source ↗Export metadata ↓

Abstract

We report the range in elapsed time for various statistical analyses and for the same logistic regression analysis in 23 different personal computers (PCs). Without a floating-point coprocessor, the elapsed time increased from ten to 113 minutes in the same PC. Elapsed time ranged from two to 45 minutes from 80486 to 8086 PCs with a floating-point coprocessor. The PC equipment we need strongly depends on the type and frequency of the statistical analyses we are to perform. If a floating-point coprocessor is installed, the 80286/80287 PC family may be fast enough for most users.

Explore related subjects

Microcomputers Regression Analysis Statistics as Topic English Abstract Journal Article

Keep this discovery

Explore connections, maps & timelines

BibTeX RIS

E Hannisdal, B Vonen. 1991-01-30. [Use of personal computers for statistical analyses].. https://pubmed.ncbi.nlm.nih.gov/2000622/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2006

Troubleshooting secrets you may want to try on your own.

I hope you can use one or two tools in this list to solve an issue you may be having right now, or one that comes up in the future. Please, please, please, do not try the more extensive (and potentially more troublesome) options unless you have a lot of experience working on computers or you are 100% certain you do not need any data that is on that computer. I don't like putting that warning in here, because the instructor in me wants you to learn, but not at the expense of losing all of your practice data. Have you tested your backup recently?

Microcomputers↗

PubMed2005

Desktop and conference room VR for physicians.

Virtual environments such as the CAVE and the ImmersaDesk, which are based on graphics supercomputers or workstations, are large and expensive. Most physicians have no access to such systems. The recent development of small Linux personal computers and high-performance graphics cards has afforded opportunities to implement applications formerly run on graphics supercomputers. Using PC hardware and other affordable devices, a VR system has been developed which can sit on a physician's desktop or be installed in a conference room. Affordable PC-based VR systems are comparable in performance with expensive VR systems formerly based on graphics supercomputers. Such VR systems can now be accessible to most physicians. The lower cost and smaller size of this system greatly expands the range of uses of VR technology in medicine.

Microcomputers↗

PubMed2003

Electrically actuated, pressure-driven microfluidic pumps.

In order to make the lab-on-a-chip concept a reality, it is desirable to have an integrated component capable of pumping fluids through microchannels. We have developed novel, electrically actuated micropumps and have integrated them with microfluidic systems. These devices utilize the build-up of electrolysis gases to achieve pressure-driven pumping, only require small voltages (approximately 10 V), and have approximate dimensions of 5 cm x 3 cm x 2 cm. Furthermore, these micropumps are composed of relatively inexpensive materials, and the reversible sealability of their poly(dimethylsiloxane) body to different microfluidic arrays enables repeated uses of the same pump. Under an applied potential of 10 V, three different micropumps had average flow rates of 8-13 microL min(-1) for water being pumped through five different 2 cm-long, 5500 microm(2) cross-sectional-area channels in poly(methyl methacrylate), in approximate agreement with predicted pump rates. We have also evaluated pump operation at the lower applied potential of 8 V and observed an average flow rate of 6.1 microL min(-1) for a pump-channel system. The current micropump design is capable of sustaining pumping pressures in the range of 300 kPa. The various advantages of these micropumps make them well suited for use in lab-on-a-chip analysis techniques.

Microcomputers↗