Regional Difference

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Robert Oneill - One of the best experts on this subject based on the ideXlab platform.

  • consideration of Regional Difference in design and analysis of multi Regional trials
    Pharmaceutical Statistics, 2010
    Co-Authors: H James M Hung, Suejane Wang, Robert Oneill
    Abstract:

    Clinical trial strategy, particularly in developing pharmaceutical products, has recently expanded to a global level in the sense that multiple geographical regions participate in the trial simultaneously under the same study protocol. The possible benefits of this strategy are obvious, at least from the cost and efficiency considerations. The challenges with this strategy are many, ranging from trial or data quality assurance to statistical methods for design and analysis of such trials. In many regulatory submissions, the presence of Regional Differences in the estimated treatment effect, whether they are different only in magnitude or in direction, often presents great difficulty in interpretation of the global trial results, particularly for the acceptability by the local regulatory authorities. This article presents a number of useful statistical analysis tools for exploration of Regional Differences and a method that may be worth consideration in designing a multi-Regional clinical trial. Published in 2010 by John Wiley & Sons, Ltd.

  • consideration of Regional Difference in design and analysis of multi Regional trials
    Pharmaceutical Statistics, 2010
    Co-Authors: H James M Hung, Suejane Wang, Robert Oneill
    Abstract:

    Clinical trial strategy, particularly in developing pharmaceutical products, has recently expanded to a global level in the sense that multiple geographical regions participate in the trial simultaneously under the same study protocol. The possible benefits of this strategy are obvious, at least from the cost and efficiency considerations. The challenges with this strategy are many, ranging from trial or data quality assurance to statistical methods for design and analysis of such trials. In many regulatory submissions, the presence of Regional Differences in the estimated treatment effect, whether they are different only in magnitude or in direction, often presents great difficulty in interpretation of the global trial results, particularly for the acceptability by the local regulatory authorities. This article presents a number of useful statistical analysis tools for exploration of Regional Differences and a method that may be worth consideration in designing a multi-Regional clinical trial.

H James M Hung - One of the best experts on this subject based on the ideXlab platform.

  • consideration of Regional Difference in design and analysis of multi Regional trials
    Pharmaceutical Statistics, 2010
    Co-Authors: H James M Hung, Suejane Wang, Robert Oneill
    Abstract:

    Clinical trial strategy, particularly in developing pharmaceutical products, has recently expanded to a global level in the sense that multiple geographical regions participate in the trial simultaneously under the same study protocol. The possible benefits of this strategy are obvious, at least from the cost and efficiency considerations. The challenges with this strategy are many, ranging from trial or data quality assurance to statistical methods for design and analysis of such trials. In many regulatory submissions, the presence of Regional Differences in the estimated treatment effect, whether they are different only in magnitude or in direction, often presents great difficulty in interpretation of the global trial results, particularly for the acceptability by the local regulatory authorities. This article presents a number of useful statistical analysis tools for exploration of Regional Differences and a method that may be worth consideration in designing a multi-Regional clinical trial. Published in 2010 by John Wiley & Sons, Ltd.

  • consideration of Regional Difference in design and analysis of multi Regional trials
    Pharmaceutical Statistics, 2010
    Co-Authors: H James M Hung, Suejane Wang, Robert Oneill
    Abstract:

    Clinical trial strategy, particularly in developing pharmaceutical products, has recently expanded to a global level in the sense that multiple geographical regions participate in the trial simultaneously under the same study protocol. The possible benefits of this strategy are obvious, at least from the cost and efficiency considerations. The challenges with this strategy are many, ranging from trial or data quality assurance to statistical methods for design and analysis of such trials. In many regulatory submissions, the presence of Regional Differences in the estimated treatment effect, whether they are different only in magnitude or in direction, often presents great difficulty in interpretation of the global trial results, particularly for the acceptability by the local regulatory authorities. This article presents a number of useful statistical analysis tools for exploration of Regional Differences and a method that may be worth consideration in designing a multi-Regional clinical trial.

Wu Jian-min - One of the best experts on this subject based on the ideXlab platform.

  • THE DEVELOPMENT AND Regional Difference OF RURAL INFORMATIONIZATION IN CHINA
    Economic Geography, 2010
    Co-Authors: Wu Jian-min
    Abstract:

    Rural information communication technologies(ICTs) development has been the focus of study in our present,especially the internet which as a representative of rural informationalization aroused people's attention.It brings the rural economic development and social progress of service.However the social inequality of ICTs' diffusion became one of the obstacles of Regional informationalization.The inequality is embodied not only between urban and rural areas,but also in the interior of rural areas.This paper analyzes the developing process of rural informationalization,sums up the Regional Difference of rural informationalization in China.It based on the informational infrastructure,rural net citizen,agriculture website,and using macro and medium perspective analyses the Regional Difference of rural informationalization.The researches show that the Regional inequality in telephone,television and mobile phone penetration rate is not obvious,and the Regional Differences in home computer penetration are obvious.Rural net citizens are mainly concentrated in the eastern region,and growing faster than the middle and west,rural net citizens'Regional Differences will continue to increase.From the provincial level,rural information infrastructure and income is obviously positive correlation,and home computers have the highest correlation with income level.

Emi Yuda - One of the best experts on this subject based on the ideXlab platform.

Y. Hosoda - One of the best experts on this subject based on the ideXlab platform.

  • Regional Difference of capillary-to-fiber ratio in the heart of monocrotaline-treated rats
    Basic Research in Cardiology, 1994
    Co-Authors: H Kobayashi, Y. Yoshimura, H. Suzuki, Y. Hosoda
    Abstract:

    This study was designed to investigate the capillary-to-fiber (CF) ratio, and Regional Differences in this ratio in the hearts of monocrotaline-induced pulmonary hypertensive rats (MCT rats) as compared with normal rats in an attempt to examine capillary proliferation relative to that of muscle cells responding to the pressure stress on right ventricle (RV). Ten Sprague-Dawley male rats (5 weeks old) were injected with 60 mg/Kg monocrotaline, while eight rats were injected with saline as a control. At the age of 8 weeks they were anesthetized and the heart was excised and immediately frozen. The capillaries were stained enzyme-histochemically by detecting alkaline phosphate and dipeptidylaminopeptidase IV. The main finding in this study was a decrease in the CF ratio of MCT rats in all regions of the heart except in the RV mid-layer and endocardium. The CF ratio in the RV-mid-layer was 1.21±0.11 (mean±SD) in MCT rats and 1.27±0.12 in control rats (no change), while in the mid-layer of the interventricular septum (IVS) it was 1.13±0.05 in MCT rats and 1.35±0.07 in control rats (p

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