• Journal of Oriental Neuropsychiatry
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• v.24 no.3
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• pp.201-210
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• 2013

Objectives : To review the recent trend of randomized controlled clinical trials on insomnia and to provide information for future clinical trials. Methods : A total of 667 pieces of literature were searched using the key words 'insomnia' and 'randomized controlled trial' and using the title 'insomnia' with the topic 'trial or trials', published from 2008 to 2012 through Web of Science. Studies including randomized controlled clinical trials were sorted from the search result and finally 104 pieces of the literature were selected and examined. Results : Besides 104 clinical trials, 14 trials related to CAM (Complementary and Alternative Medicine) were also reviewed. On average, 20 trials were annually conducted and they showed a growing trend. Participants were between 31 and 90 (34.6%), and were observed for less than 30 days (28.8%) in most trials. As intervention methods for clinical trials, non-pharmaceutical methods were used in 59 studies (56.7%), pharmaceutical drug in 43 studies (41.3%) and combinations in 2 studies (1.9%). In 60 studies, only insomnia without any underlying diseases was examined and other 44 studies involved other diseases. As diagnosis assessment tools, Sleep diary and Polysomnography were used. Conclusions : Randomized controlled trials relevant to insomnia were on the increase, but only a small number of clinical trials on Oriental Medicine have been performed. Larger scientific and well-founded randomized controlled trials are required for developing Oriental Medicine and establishing high-quality guideline going forward.

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.1036-1047
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• 2013

In this study, we applied the time series analysis to the randomized controlled trial (RCT) researches related to insomnia for finding international trends. The data used in the analysis of 379 of ClinicalTrials, Web of Science was the of 132 by several keyword related with 'Insomnia' and 'Randomized Clinical Trial'. In ClinicalTials, RCT studies for insomnia, drug, cognitive behavioral therapy, depression were the key words make up the main network. In WOS, 'melatonin' key word was added in the main network. In addition to, we found the characteristic that the elderly and female subjects were steady studied.

• Journal of Korean Medicine Rehabilitation
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• v.21 no.4
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• pp.77-86
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• 2011

Objectives: This study aims to evaluate domestic clinical studies related to the exercise program targeting farmers. Methods: Five Korean databases were seamed for prospective clinical trials of exercise program targeting farmers from 2001 to August, 2011. Only studies conducted in Korean language were searched. Results: Thirteen clinical studies were included among 3374 studies searched. Six were observational studies, four were non-randomized controlled trials, and three were randomized controlled trials. All of included studies reported favorable effects of exercise group compared to baseline of controlled group. Conclusions: We found various mistake in the applications of statistical methodologies in the studies of exercise program targeting farmers. It is necessary for more randomized controlled trials to evaluate effect of exercise program target farmers.

• Journal of applied mathematics & informatics
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• v.8 no.1
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• pp.253-260
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• 2001

In this paper we suggest a conditional unrelated question randomized response model by using the Carr et. al.’s model(1982) and Greenberg et. al.’s model(1969). Our model can obtain more comprehensive information about the sensitive character A. We suggest the conditions that make our model efficient compared with models of Greenberg et. al. and Carr et al..

• Journal of the Korean Statistical Society
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• v.26 no.1
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• pp.89-100
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• 1997

In this paper we are concerned with comparing ordered treatment effects with a control in a randomized block design with multiple observations per cell. Two nonparametric procedures for detecting which treatment are better than the control are proposed and compared. An example is given and the results of a Monte Carlo power study are discussed.

• The Korean Journal of Applied Statistics
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• v.6 no.1
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• pp.53-66
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• 1993

A Bayesian approach is suggested to the multi-proportions randomized response model. O'Hagan's (1987) Bayes linear estimator is extended to the inference of unrelated question-type randomized response model. Also some numerical comparisons are provided to show the performance of the Bayes linear estimator under the Dirichlet prior.

• Journal of the Korean Data and Information Science Society
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• v.14 no.4
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• pp.1067-1082
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• 2003

In this paper, we propose a randomized response model with discrete quantitative attribute by three-stage cluster sampling for obtaining discrete quantitative data by using the Liu & Chow model(1976), when the population was made up of sensitive discrete quantitative clusters. We obtain the minimum variance by calculating the optimum number of fsu, ssu, tsu under the some given constant cost. And we obtain the minimum cost under the some given accuracy.

• Journal of the Korean Data and Information Science Society
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• v.14 no.4
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• pp.877-887
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• 2003

A two-stage procedure is proposed to estimate the population proportion of a sensitive group. The proposed procedure is obtained by combining the direct question method and a modified randomized response technique. It is verified that the proposed procedure is more efficient than existing methods under some mild conditions.

• Communications for Statistical Applications and Methods
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• v.7 no.3
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• pp.721-729
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• 2000

In this paper, we propose a new conditional randomized response model that has improved the Carr et al.'s model in view of he variance and the protection of privacy of respondents. We show that he suggested model is more effective and protective than the Loynes' model and Carr et al.' model.

• Proceedings of the Korean Statistical Society Conference
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• 2005.05a
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• pp.239-244
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• 2005

In this paper, we examine the problem of estimating the sensitive characteristics and behaviors in a multinomial randomized response (RR) model. We analyze this problem through a Bayesian perspective and develop a Bayesian multinomial RR model in survey study. The Bayesian inference of multinomial RR model is a new approach to RR models.