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Evaluating agreement between two methods for measuring the same quantity: a response.

Computers in biology and medicine

Lee J.
PMID: 1424582
Comput Biol Med. 1992 Sep;22(5):369-71. doi: 10.1016/0010-4825(92)90025-i.

A method comparison study is typically concerned with evaluating the agreement between a "new" method against an "established" method for measuring the same quantity. Various statistical indices have been advocated for measuring the extent to which two methods give...

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Lee J. Evaluating agreement between two methods for measuring the same quantity: a response. Comput Biol Med. 1992;22(5):369-71doi: 10.1016/0010-4825(92)90025-i.
Lee, J. (1992). Evaluating agreement between two methods for measuring the same quantity: a response. Computers in biology and medicine, 22(5), 369-71. https://doi.org/10.1016/0010-4825(92)90025-i
Lee, J. "Evaluating agreement between two methods for measuring the same quantity: a response." Computers in biology and medicine vol. 22,5 (1992): 369-71. doi: https://doi.org/10.1016/0010-4825(92)90025-i
Lee J. Evaluating agreement between two methods for measuring the same quantity: a response. Comput Biol Med. 1992 Sep;22(5):369-71. doi: 10.1016/0010-4825(92)90025-i. PMID: 1424582.
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Basic statistics in medical practice.

JPMA. The Journal of the Pakistan Medical Association

Alam SE.
PMID: 2126812
J Pak Med Assoc. 1990 Nov;40(11):276-7.
Free Article

No abstract available.

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Alam SE. Basic statistics in medical practice. J Pak Med Assoc. 1990;40(11):276-7
Alam, S. E. (1990). Basic statistics in medical practice. JPMA. The Journal of the Pakistan Medical Association, 40(11), 276-7.
Alam, S E. "Basic statistics in medical practice." JPMA. The Journal of the Pakistan Medical Association vol. 40,11 (1990): 276-7.
Alam SE. Basic statistics in medical practice. J Pak Med Assoc. 1990 Nov;40(11):276-7. PMID: 2126812.
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SAS program for testing the difference between two correlated correlation coefficients.

Occupational and environmental medicine

Dell'Omo M.
PMID: 7951802
Occup Environ Med. 1994 Sep;51(9):648. doi: 10.1136/oem.51.9.648.

No abstract available.

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Dell'Omo M. SAS program for testing the difference between two correlated correlation coefficients. Occup Environ Med. 1994;51(9):648doi: 10.1136/oem.51.9.648.
Dell'Omo, M. (1994). SAS program for testing the difference between two correlated correlation coefficients. Occupational and environmental medicine, 51(9), 648. https://doi.org/10.1136/oem.51.9.648
Dell'Omo, M. "SAS program for testing the difference between two correlated correlation coefficients." Occupational and environmental medicine vol. 51,9 (1994): 648. doi: https://doi.org/10.1136/oem.51.9.648
Dell'Omo M. SAS program for testing the difference between two correlated correlation coefficients. Occup Environ Med. 1994 Sep;51(9):648. doi: 10.1136/oem.51.9.648. PMID: 7951802; PMCID: PMC1128065.
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Statistical tools and status symbols.

Experimental aging research

Elias MF.
PMID: 1936103
Exp Aging Res. 1991;17(1):7-12. doi: 10.1080/03610739108253881.

This paper sets the stage for a series of edited papers which follow. It is argued that obvious statistical blunders (mortal sins) have not disappeared entirely from the aging literature, but that the most frequent error now is that...

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Elias MF. Statistical tools and status symbols. Exp Aging Res. 1991;17(1):7-12doi: 10.1080/03610739108253881.
Elias, M. F. (1991). Statistical tools and status symbols. Experimental aging research, 17(1), 7-12. https://doi.org/10.1080/03610739108253881
Elias, M F. "Statistical tools and status symbols." Experimental aging research vol. 17,1 (1991): 7-12. doi: https://doi.org/10.1080/03610739108253881
Elias MF. Statistical tools and status symbols. Exp Aging Res. 1991;17(1):7-12. doi: 10.1080/03610739108253881. PMID: 1936103.
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Methods of data analysis in the emergency medicine literature.

The American journal of emergency medicine

Menegazzi JJ, Yealy DM, Harris JS.
PMID: 2018591
Am J Emerg Med. 1991 May;9(3):225-7. doi: 10.1016/0735-6757(91)90081-t.

The authors hypothesized that data analysis in the current emergency medicine literature uses relatively few methods and sought to determine the frequency distributions of each method of analysis. The authors defined their population as original contributions in three refereed...

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Menegazzi JJ, Yealy DM, Harris JS. Methods of data analysis in the emergency medicine literature. Am J Emerg Med. 1991;9(3):225-7doi: 10.1016/0735-6757(91)90081-t.
Menegazzi, J. J., Yealy, D. M., & Harris, J. S. (1991). Methods of data analysis in the emergency medicine literature. The American journal of emergency medicine, 9(3), 225-7. https://doi.org/10.1016/0735-6757(91)90081-t
Menegazzi, J J, et al. "Methods of data analysis in the emergency medicine literature." The American journal of emergency medicine vol. 9,3 (1991): 225-7. doi: https://doi.org/10.1016/0735-6757(91)90081-t
Menegazzi JJ, Yealy DM, Harris JS. Methods of data analysis in the emergency medicine literature. Am J Emerg Med. 1991 May;9(3):225-7. doi: 10.1016/0735-6757(91)90081-t. PMID: 2018591.
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Descriptive statistics.

British dental journal

Bulman JS, Osborn JF.
PMID: 2917091
Br Dent J. 1989 Jan 21;166(2):51-4. doi: 10.1038/sj.bdj.4806708.

The importance of a knowledge of statistical methods in relation to most aspects of dentistry is discussed. Definitions of terms used in descriptive statistical techniques are provided, together with a review of the techniques themselves.

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Bulman JS, Osborn JF. Descriptive statistics. Br Dent J. 1989;166(2):51-4doi: 10.1038/sj.bdj.4806708.
Bulman, J. S., & Osborn, J. F. (1989). Descriptive statistics. British dental journal, 166(2), 51-4. https://doi.org/10.1038/sj.bdj.4806708
Bulman, J S, and Osborn, J F. "Descriptive statistics." British dental journal vol. 166,2 (1989): 51-4. doi: https://doi.org/10.1038/sj.bdj.4806708
Bulman JS, Osborn JF. Descriptive statistics. Br Dent J. 1989 Jan 21;166(2):51-4. doi: 10.1038/sj.bdj.4806708. PMID: 2917091.
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On local convergence analysis of inexact Newton method for singular systems of equations under majorant condition.

TheScientificWorldJournal

Zhou F.
PMID: 25243211
ScientificWorldJournal. 2014;2014:498016. doi: 10.1155/2014/498016. Epub 2014 Aug 28.

We present a local convergence analysis of inexact Newton method for solving singular systems of equations. Under the hypothesis that the derivative of the function associated with the singular systems satisfies a majorant condition, we obtain that the method...

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Zhou F. On local convergence analysis of inexact Newton method for singular systems of equations under majorant condition. ScientificWorldJournal. 2014;2014:498016doi: 10.1155/2014/498016.
Zhou, F. (2014). On local convergence analysis of inexact Newton method for singular systems of equations under majorant condition. TheScientificWorldJournal, 2014498016. https://doi.org/10.1155/2014/498016
Zhou, Fangqin. "On local convergence analysis of inexact Newton method for singular systems of equations under majorant condition." TheScientificWorldJournal vol. 2014 (2014): 498016. doi: https://doi.org/10.1155/2014/498016
Zhou F. On local convergence analysis of inexact Newton method for singular systems of equations under majorant condition. ScientificWorldJournal. 2014;2014:498016. doi: 10.1155/2014/498016. Epub 2014 Aug 28. PMID: 25243211; PMCID: PMC4163367.
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Sample size for pre-tests of questionnaires.

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation

Perneger TV, Courvoisier DS, Hudelson PM, Gayet-Ageron A.
PMID: 25008261
Qual Life Res. 2015 Jan;24(1):147-51. doi: 10.1007/s11136-014-0752-2. Epub 2014 Jul 10.

PURPOSE: To provide guidance regarding the desirable size of pre-tests of psychometric questionnaires, when the purpose of the pre-test is to detect misunderstandings, ambiguities, or other difficulties participants may encounter with instrument items (called «problems»).METHODS: We computed (a) the...

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Perneger TV, Courvoisier DS, Hudelson PM, et al. Sample size for pre-tests of questionnaires. Qual Life Res. 2014;24(1):147-51doi: 10.1007/s11136-014-0752-2.
Perneger, T. V., Courvoisier, D. S., Hudelson, P. M., & Gayet-Ageron, A. (2015). Sample size for pre-tests of questionnaires. Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 24(1), 147-51. https://doi.org/10.1007/s11136-014-0752-2
Perneger, Thomas V, et al. "Sample size for pre-tests of questionnaires." Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation vol. 24,1 (2015): 147-51. doi: https://doi.org/10.1007/s11136-014-0752-2
Perneger TV, Courvoisier DS, Hudelson PM, Gayet-Ageron A. Sample size for pre-tests of questionnaires. Qual Life Res. 2015 Jan;24(1):147-51. doi: 10.1007/s11136-014-0752-2. Epub 2014 Jul 10. PMID: 25008261.
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Aggregation to promote health in an era of data and value based payment.

Healthcare (Amsterdam, Netherlands)

Liaw W, Bazemore AW, Phillips RL.
PMID: 28669857
Healthc (Amst). 2017 Sep;5(3):92-94. doi: 10.1016/j.hjdsi.2017.05.004. Epub 2017 Jun 29.

No abstract available.

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Liaw W, Bazemore AW, Phillips RL. Aggregation to promote health in an era of data and value based payment. Healthc (Amst). 2017;5(3):92-94doi: 10.1016/j.hjdsi.2017.05.004.
Liaw, W., Bazemore, A. W., & Phillips, R. L. (2017). Aggregation to promote health in an era of data and value based payment. Healthcare (Amsterdam, Netherlands), 5(3), 92-94. https://doi.org/10.1016/j.hjdsi.2017.05.004
Liaw, Winston, et al. "Aggregation to promote health in an era of data and value based payment." Healthcare (Amsterdam, Netherlands) vol. 5,3 (2017): 92-94. doi: https://doi.org/10.1016/j.hjdsi.2017.05.004
Liaw W, Bazemore AW, Phillips RL. Aggregation to promote health in an era of data and value based payment. Healthc (Amst). 2017 Sep;5(3):92-94. doi: 10.1016/j.hjdsi.2017.05.004. Epub 2017 Jun 29. PMID: 28669857.
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Bigger data, collaborative tools and the future of predictive drug discovery.

Journal of computer-aided molecular design

Ekins S, Clark AM, Swamidass SJ, Litterman N, Williams AJ.
PMID: 24943138
J Comput Aided Mol Des. 2014 Oct;28(10):997-1008. doi: 10.1007/s10822-014-9762-y. Epub 2014 Jun 19.

Over the past decade we have seen a growth in the provision of chemistry data and cheminformatics tools as either free websites or software as a service commercial offerings. These have transformed how we find molecule-related data and use...

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Ekins S, Clark AM, Swamidass SJ, et al. Bigger data, collaborative tools and the future of predictive drug discovery. J Comput Aided Mol Des. 2014;28(10):997-1008doi: 10.1007/s10822-014-9762-y.
Ekins, S., Clark, A. M., Swamidass, S. J., Litterman, N., & Williams, A. J. (2014). Bigger data, collaborative tools and the future of predictive drug discovery. Journal of computer-aided molecular design, 28(10), 997-1008. https://doi.org/10.1007/s10822-014-9762-y
Ekins, Sean, et al. "Bigger data, collaborative tools and the future of predictive drug discovery." Journal of computer-aided molecular design vol. 28,10 (2014): 997-1008. doi: https://doi.org/10.1007/s10822-014-9762-y
Ekins S, Clark AM, Swamidass SJ, Litterman N, Williams AJ. Bigger data, collaborative tools and the future of predictive drug discovery. J Comput Aided Mol Des. 2014 Oct;28(10):997-1008. doi: 10.1007/s10822-014-9762-y. Epub 2014 Jun 19. PMID: 24943138; PMCID: PMC4198464.
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Networked Learning and Network Science: Potential Applications to Health Professionals' Continuing Education and Development.

The Journal of continuing education in the health professions

Margolis A, Parboosingh J.
PMID: 26378427
J Contin Educ Health Prof. 2015;35(3):211-9. doi: 10.1002/chp.21295.

Prior interpersonal relationships and interactivity among members of professional associations may impact the learning process in continuing medical education (CME). On the other hand, CME programs that encourage interactivity between participants may impact structures and behaviors in these professional...

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Margolis A, Parboosingh J. Networked Learning and Network Science: Potential Applications to Health Professionals' Continuing Education and Development. J Contin Educ Health Prof. 2015;35(3):211-9doi: 10.1002/chp.21295.
Margolis, A., & Parboosingh, J. (2015). Networked Learning and Network Science: Potential Applications to Health Professionals' Continuing Education and Development. The Journal of continuing education in the health professions, 35(3), 211-9. https://doi.org/10.1002/chp.21295
Margolis, Alvaro, and Parboosingh, John. "Networked Learning and Network Science: Potential Applications to Health Professionals' Continuing Education and Development." The Journal of continuing education in the health professions vol. 35,3 (2015): 211-9. doi: https://doi.org/10.1002/chp.21295
Margolis A, Parboosingh J. Networked Learning and Network Science: Potential Applications to Health Professionals' Continuing Education and Development. J Contin Educ Health Prof. 2015;35(3):211-9. doi: 10.1002/chp.21295. PMID: 26378427.
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Qualitative Descriptive Methods in Health Science Research.

HERD

Colorafi KJ, Evans B.
PMID: 26791375
HERD. 2016 Jul;9(4):16-25. doi: 10.1177/1937586715614171. Epub 2016 Jan 19.

OBJECTIVE: The purpose of this methodology paper is to describe an approach to qualitative design known as qualitative descriptive that is well suited to junior health sciences researchers because it can be used with a variety of theoretical approaches,...

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Colorafi KJ, Evans B. Qualitative Descriptive Methods in Health Science Research. HERD. 2016;9(4):16-25doi: 10.1177/1937586715614171.
Colorafi, K. J., & Evans, B. (2016). Qualitative Descriptive Methods in Health Science Research. HERD, 9(4), 16-25. https://doi.org/10.1177/1937586715614171
Colorafi, Karen Jiggins, and Evans, Bronwynne. "Qualitative Descriptive Methods in Health Science Research." HERD vol. 9,4 (2016): 16-25. doi: https://doi.org/10.1177/1937586715614171
Colorafi KJ, Evans B. Qualitative Descriptive Methods in Health Science Research. HERD. 2016 Jul;9(4):16-25. doi: 10.1177/1937586715614171. Epub 2016 Jan 19. PMID: 26791375; PMCID: PMC7586301.
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Showing 1 to 12 of 263 entries