The Experts below are selected from a list of 707676 Experts worldwide ranked by ideXlab platform
Catharine W. Burt - One of the best experts on this subject based on the ideXlab platform.
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guide to using masked Design variables to estimate standard errors in public use files of the national ambulatory medical care survey and the national hospital ambulatory medical care survey
Inquiry, 2003Co-Authors: Esther Hing, Sarah Gousen, Iris Shimizu, Catharine W. BurtAbstract:Until recently, Sample Design information needed to correctly estimate standard errors from the National Ambulatory Medical Care Survey (NAMCS) and the National Hospital Ambulatory Medical Care Survey (NHAMCS) public use files was not released for confidentiality reasons. In 2002, masked Sample Design variables were released for the first time with the 1995-2000 NAMCS and NHAMCS public use files. This paper shows how to use masked Design variables to compute standard errors in three software applications. It also discusses when masking overstates or understates "in-house" standard errors, and how masking affects the significance levels of point estimates and logistic regression parameters.
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Guide to Using Masked Design Variables to Estimate Standard Errors in Public Use Files of the National Ambulatory Medical Care Survey and the National Hospital Ambulatory Medical Care Survey
Inquiry : a journal of medical care organization provision and financing, 2003Co-Authors: Esther Hing, Sarah Gousen, Iris Shimizu, Catharine W. BurtAbstract:Until recently, Sample Design information needed to correctly estimate standard errors from the National Ambulatory Medical Care Survey (NAMCS) and the National Hospital Ambulatory Medical Care Sur...
Esther Hing - One of the best experts on this subject based on the ideXlab platform.
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guide to using masked Design variables to estimate standard errors in public use files of the national ambulatory medical care survey and the national hospital ambulatory medical care survey
Inquiry, 2003Co-Authors: Esther Hing, Sarah Gousen, Iris Shimizu, Catharine W. BurtAbstract:Until recently, Sample Design information needed to correctly estimate standard errors from the National Ambulatory Medical Care Survey (NAMCS) and the National Hospital Ambulatory Medical Care Survey (NHAMCS) public use files was not released for confidentiality reasons. In 2002, masked Sample Design variables were released for the first time with the 1995-2000 NAMCS and NHAMCS public use files. This paper shows how to use masked Design variables to compute standard errors in three software applications. It also discusses when masking overstates or understates "in-house" standard errors, and how masking affects the significance levels of point estimates and logistic regression parameters.
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Guide to Using Masked Design Variables to Estimate Standard Errors in Public Use Files of the National Ambulatory Medical Care Survey and the National Hospital Ambulatory Medical Care Survey
Inquiry : a journal of medical care organization provision and financing, 2003Co-Authors: Esther Hing, Sarah Gousen, Iris Shimizu, Catharine W. BurtAbstract:Until recently, Sample Design information needed to correctly estimate standard errors from the National Ambulatory Medical Care Survey (NAMCS) and the National Hospital Ambulatory Medical Care Sur...
Sarah Gousen - One of the best experts on this subject based on the ideXlab platform.
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guide to using masked Design variables to estimate standard errors in public use files of the national ambulatory medical care survey and the national hospital ambulatory medical care survey
Inquiry, 2003Co-Authors: Esther Hing, Sarah Gousen, Iris Shimizu, Catharine W. BurtAbstract:Until recently, Sample Design information needed to correctly estimate standard errors from the National Ambulatory Medical Care Survey (NAMCS) and the National Hospital Ambulatory Medical Care Survey (NHAMCS) public use files was not released for confidentiality reasons. In 2002, masked Sample Design variables were released for the first time with the 1995-2000 NAMCS and NHAMCS public use files. This paper shows how to use masked Design variables to compute standard errors in three software applications. It also discusses when masking overstates or understates "in-house" standard errors, and how masking affects the significance levels of point estimates and logistic regression parameters.
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Guide to Using Masked Design Variables to Estimate Standard Errors in Public Use Files of the National Ambulatory Medical Care Survey and the National Hospital Ambulatory Medical Care Survey
Inquiry : a journal of medical care organization provision and financing, 2003Co-Authors: Esther Hing, Sarah Gousen, Iris Shimizu, Catharine W. BurtAbstract:Until recently, Sample Design information needed to correctly estimate standard errors from the National Ambulatory Medical Care Survey (NAMCS) and the National Hospital Ambulatory Medical Care Sur...
Iris Shimizu - One of the best experts on this subject based on the ideXlab platform.
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guide to using masked Design variables to estimate standard errors in public use files of the national ambulatory medical care survey and the national hospital ambulatory medical care survey
Inquiry, 2003Co-Authors: Esther Hing, Sarah Gousen, Iris Shimizu, Catharine W. BurtAbstract:Until recently, Sample Design information needed to correctly estimate standard errors from the National Ambulatory Medical Care Survey (NAMCS) and the National Hospital Ambulatory Medical Care Survey (NHAMCS) public use files was not released for confidentiality reasons. In 2002, masked Sample Design variables were released for the first time with the 1995-2000 NAMCS and NHAMCS public use files. This paper shows how to use masked Design variables to compute standard errors in three software applications. It also discusses when masking overstates or understates "in-house" standard errors, and how masking affects the significance levels of point estimates and logistic regression parameters.
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Guide to Using Masked Design Variables to Estimate Standard Errors in Public Use Files of the National Ambulatory Medical Care Survey and the National Hospital Ambulatory Medical Care Survey
Inquiry : a journal of medical care organization provision and financing, 2003Co-Authors: Esther Hing, Sarah Gousen, Iris Shimizu, Catharine W. BurtAbstract:Until recently, Sample Design information needed to correctly estimate standard errors from the National Ambulatory Medical Care Survey (NAMCS) and the National Hospital Ambulatory Medical Care Sur...
Isao Noda - One of the best experts on this subject based on the ideXlab platform.
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chapter 10 2d correlation spectroscopy and its application in vibrational and optical spectroscopy
Molecular and Laser Spectroscopy#R##N#Advances and Applications, 2018Co-Authors: Yukihiro Ozaki, Isao Noda, Young Mee JungAbstract:This chapter provides a brief background of two-dimensional correlation spectroscopy (2DCOS), its new and noteworthy developments and applications in vibrational and optical spectroscopy. 2DCOS is now accepted as a powerful and versatile technique for the in-depth analysis of various spectral data obtained under external perturbations in various spectroscopic experiments. This chapter highlights new types of 2DCOS, such as chemometrics-combined 2DCOS, moving-window 2D analysis, orthogonal Sample Design and related techniques, projection 2D analysis, and 2D codistribution spectroscopy, as well as various experimental practices in vibrational and optical spectroscopy.
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investigation on the intermolecular interaction between diethyl ether and dichloromethane in gaseous phase by using the daosd approach
Journal of Molecular Structure, 2016Co-Authors: Mo Chen, Ying Zhao, Isao Noda, Shifu Weng, Yizhuang Xu, Jinguang WuAbstract:Abstract Intermolecular interaction between diethyl ether and dichloromethane was investigated by using double asynchronous orthogonal Sample Design (DAOSD) scheme. FT-IR spectra of the two compounds were measured in the gas phase. A gas cell that satisfied the requirement of the DAOSD approach was Designed, fabricated and utilized. The appearance of cross peaks in a pair of asynchronous spectra demonstrated that intermolecular interaction occurred between two compounds. Interference from the spectra of solvent can be avoided by measuring the Samples in gas phase, thereby extending the application range of DAOSD and relevant approaches.
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Design of a new concentration series for the orthogonal Sample Design approach and estimation of the number of reactions in chemical systems
Applied Spectroscopy, 2015Co-Authors: Ying Zhao, Yuhai Liu, Jiajia Shi, Ran Guo, Yunlong Gao, Yongju Wei, Cuige Liu, Isao NodaAbstract:A new concentration series is proposed for the construction of a two-dimensional (2D) synchronous spectrum for orthogonal Sample Design analysis to probe intermolecular interaction between solutes dissolved in the same solutions. The obtained 20 synchronous spectrum possesses the following two properties: (1) cross peaks in the 20 synchronous spectra can be used to reflect intermolecular interaction reliably, since interference portions that have nothing to do with intermolecular interaction are completely removed, and (2) the two-dimensional synchronous spectrum produced can effectively avoid accidental collinearity. Hence, the correct number of nonzero eigenvalues can be obtained so that the number of chemical reactions can be estimated. In a real chemical system, noise present in one-dimensional spectra may also produce nonzero eigenvalues. To get the correct number of chemical reactions, we classified nonzero eigenvalues into significant nonzero eigenvalues and insignificant nonzero eigenvalues. Significant nonzero eigenvalues can be identified by inspecting the pattern of the corresponding eigenvector with help of the Durbin-Watson statistic. As a result, the correct number of chemical reactions can be obtained from significant nonzero eigenvalues. This approach provides a solid basis to obtain insight into subtle spectral variations caused by intermolecular interaction.
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the influence of changing the sequence of concentration series on the 2d asynchronous spectroscopy generated by the asynchronous orthogonal Sample Design aosd approach
Vibrational Spectroscopy, 2012Co-Authors: Ying Zhao, Isao Noda, Yizhuang Xu, Jing Chen, Xiaopei Li, Kun Huang, Jinguang WuAbstract:The influence of the sequence of the concentration series is investigated on the 2D asynchronous spectra generated by the asynchronous orthogonal Sample Design (AOSD) approach. We prove that the requirement of the AOSD is also satisfied when the sequence of the concentration series changes, if the initial concentration series satisfies the requirement of the AOSD. Changing the sequence of concentration series produces the same absolute intensity of the 2D asynchronous spectra when only three solutions are used. However, different outcomes can be gained when four solutions are adopted. Studies on a real chemical system indicate that the sensitivity of the cross peak from asynchronous spectra can be improved significantly when the suitable sequence of concentration series is adopted. (C) 2011 Elsevier B.V. All rights reserved.
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double orthogonal Sample Design scheme and corresponding basic patterns in two dimensional correlation spectra for probing subtle spectral variations caused by intermolecular interactions
Journal of Physical Chemistry A, 2009Co-Authors: Chengfeng Zhang, Ying Zhao, Isao Noda, Jing Chen, Shaoxuan Liu, Dujin Wang, Kun Huang, Yukihiro OzakiAbstract:This paper introduces a new approach named double orthogonal Sample Design scheme (DOSD) to probe intermolecular interactions based on a framework of two-dimensional (2D) correlated spectroscopy. In this approach, specifically Designed concentration series are selected according to the mathematical analysis on orthogonal vectors to generate useful 2D correlated spectra. As a result, the interfering portion can be completely removed from both synchronous and asynchronous spectra, and complementary information concerning intermolecular interactions can be obtained from the set of 2D spectra. A model system, where intermolecular interactions occur between two solutes in a solution, is used to investigate the behavior of 2D correlated spectra generated by using the DOSD approach. Simulation results demonstrate that the resultant spectral patterns can reflect subtle spectral variation in bandwidths, peak positions, and absorptivities brought about by intermolecular interaction, which are hardly visualized in c...