References
- Agarwal, R., Aggarwal, A. N. and Gupta, D. (2013). Efficacy and safety of conventional transbronchial needle aspiration in sarcoidosis: A systematic review and meta-analysis. Respiratory Care, 58, 683-693.
- Ballard, K. D. (1983). The visual analysis of time series data: Issues affecting the assessment of behavioural intervention. New Zealand Journal of Psychology, 12, 69-73.
- Cho, S. S. and Sohn, Y. S. (2009). Time series analysis by SAS/ETS, Yulgobooks, Seoul.
- Cho, W. H., Lee, H. J., Sohn, M. S., Nam, C. M. and Yu, S. H. (1989). An evaluation of a patient referral system using intervention analysis. Journal of Preventive Medicine and Public Health, 22, 236-241.
- Choi, H. I. (2006). The study on ethical conduct of biomedical research, research integrity and recommendation for the development of the bioethics system in Korea, Ph. D. Thesis, Konkuk University, Seoul.
- Choi, J., Lee, H. and Chae, D. (2011). Trends in health-related research on foreign migrants living in Korea: Review of published studies during the past 10 years (2000-2009). Korean Journal of Health Education and Promotion, 28, 113-128.
- Choi, Y. and Kang, K. H. (2009). On statistical methods used in medical research. Journal of the Korean Data & Information Science Society, 20, 357-367.
- Davis, E. L., Oh, B., Butow, P. N., Mullan, B. A. and Stephen, C. (2012). Cancer patient disclosure and patient-doctor communication of complementary and alternative medicine use: A systematic review. The Oncologist, 7, 1475-1481.
- Decarlo, L. T. and Tryon, W. W. (1993). Estimating, testing autocorrelation with small samples: A comparison of the C-statistic to a modified estimator. Behaviour Research and Therapy, 8, 781-788.
- Greenhalgh, T. (1997). Papers that summarise other papers (systematic reviews and meta-alyses). British Medical Journal, 315, 672-675. https://doi.org/10.1136/bmj.315.7109.672
- Han, H. J. (1990). Evaluation of statistical techniques and methodology in public health articles, Master Thesis of Public Health, Seoul national University, Seoul.
- Hemingway, P. and Brereton, N. (2009). What is a systematic review? 2nd Ed., Hayward Medical Communications, London.
- Huh, M. H. (1996). Analysis of time series data, Free Academy, Seoul.
- Jang, S. I., Yoon, Y. K. and Choi, K. H. (2009). A review of statistical analysis methods applied on Traditional Korean Medicine. Korean Traditional Medicine, 17, 75-78.
- Janoski, T. and Isaac, L. W. (1994). Introduction to time-series analysis, The Comparative Political Economy of the Welfare State Ed., Cambridge University Press, New York.
- Jun, E. M., Lee, E. H., Kim, J. I., Kang, H. S., Oh, H. E., Lee, E. J. and Cheon, S. H. (2011). Analysis on reports of statistical testing for mean differences in articles in the Korean. Journal of Women Health Nursing, 17, 388-394. https://doi.org/10.4069/kjwhn.2011.17.4.388
- Jung, D. B. and Won, T. Y. (2001). Time series data and analysis of simplification I , Hannarae Publishing Group, Seoul.
- Jung, S. H. (1994). Impacts of implementation of patient referral system in terms of medical expenditures and medical utilization, Ph. D. Thesis of Pubic Health, Yonsei University, Wonju.
- Kang, H. C. (2002). Analysis of statistical techniques used in articles of the Korean Academy of Nursing from 1999 to 2001. Journal of Korean Academy of Nursing, 32, 929-935. https://doi.org/10.4040/jkan.2002.32.6.929
- Kang, K. W., Kang B. G., Ko, M. M., Shin, S. H. and Choi, S. M. (2008). An evaluation of the statistical techniques used in the 1995-2007 editions of the Korea Institute of Oriental Medicine. The Journal of Korean Oriental Medicine, 13, 87-91.
- Kim, H. K. and Kim, T. S. (2003). Time series analysis and prediction theory, Kyungmoonsa, Seoul.
- Kim, M. H. and Jung, J. K. (2003). An empirical study on the changing factor of social welfare expenditure of Korea. Korean Social Security Studies, 19, 1-21
- Kim, S. Y., Park, J. E., Lee, Y. J., Jang, B.H., Son, H. J., Suh, H. S. and Shin, C. M. (2011). NECA's guidance for undertaking systematie reviews and meta-analyses for intervention, National Evidencebase Healthcare Collaborating Agency, Seoul.
- Kim, W. B. (2013). The association between therapists' attachment security and mentalizing capacity, Ph. D. Thesis, University College London, London.
- Kim, Y. H. and Park, W. S. (2013). Estimating Automobile insurance premiums based on time series regression. The Korean Statistical Society, 26, 237-252 https://doi.org/10.5351/KJAS.2013.26.2.237
- Kmet, L. M., Lee, R. C. and Cook, L. S. (2004) Standard quality assessment criteria for evaluating primary research papers from a variety of fields, Alberta Heritage Foundation for Medical Research, Alberta.
- Lee, E. P. (1994). The effects of government intervention on health care system : 1970 1990 in Korea, Master Thesis of Public Health, Seoul National University, Seoul.
- Lee, S. M. and Lee, S. W. (1998). An assessment of statistical validity of nursing researches published in Korea from 1986 to 1995. Journal of The Korean Society of Health Informatics and Statistics, 23, 42-64.
- Lee, S. W. (1986). Stepwise comparative examination of statistical techniques for health research methodology. Korean Public Health Research, 12, 123-129.
- Lee, S. W. (1987). A study on the prediction of inpatients in hospital. Korean Geotechnical Society, 11, 53-63.
- Lee, Y., Kwak, M. J., Jung, H. R., Ha, H. Y. and Chae, H. (2012). Study on the statistical methods used in KCI listed journals of traditional Korean medicine from 1999 to 2008. Korea Journal of Oriental Medicine, 18, 55-64.
- Lim, S. Y. (2009). A credit classification method based on generalized additive models using factor scores of mixtures of common factor analyzers, Ph. D. Thesis, Chonnam National University, Gwangju.
- Makridakis, S. and Hison, M. (1995). ARMA model and the Box-Jenkins methodology. Journal of Forecasting, 16, 147-163.
- Moher D., Liberati A., Tetzlaff J. and Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA satement. PLoS Medicine, 6, e1000097. https://doi.org/10.1371/journal.pmed.1000097
- Myoung, S., Kim, D., Lee, D. J., Kim, H. S. and Jo, J. (2013). An analysis of time series models for toilet and laundry water-uses. Journal of the Korean Data & Information Science Society, 24, 1141-1148 https://doi.org/10.7465/jkdi.2013.24.6.1141
- Na, Y. M. and Kim, M. K. (2010). Approaches to studying low birth rate in Korea: A critical review. Journal of Korean Living Science Association, 19, 817-833. https://doi.org/10.5934/KJHE.2010.19.5.817
- Noh, H. J. (2011). Time series analysis using on EXCEL and SPSS, Hakhyeonsa, Seoul.
- Oh, H. S. and Kim, Y. R. (1995). The usefulness of time-series analysis in clinical research and its theoretical background. Korean Journal of Nursing Query, 4, 211-225.
- Park, B. J. (1996). Medical research and statistics. Conference Report of The Korean Society of Emergency Medicine, 11-24.
- Ramasubramanian, V. (2007). Time-series analysis, modelling and forecasting using SAS software, Indian Agricultural Statistics Research Institute, New Delhi.
- Ramsay, C. R., Matowe, L., Grilli, R., Grimshaw, J. M. and Thomas, R. E. (2003). Interrupted time series designs in health technology assessment: Lessons from two systematic reviews of behavior change strategies. International Journal of Technology Assessment in Health Care, 19, 613-623. https://doi.org/10.1017/S0266462303000576
- Rhim, G. I. (2007). A study on the correlation with personal income and physician supply in OECD countries, Master Thesis, Kyung Hee University, Seoul.
- Rothman, P. (1999). Nonlinear time series analysis of economic and financial data, Kluwer Academic Publishers, London.
- Sagiv, S. K., Mendola, P., Loomis, D., Herring, A. H., Neas, L. M., Savitz, D. A. and Poole, C. (2005). A time-series analysis of air pollution and perterm birth in pennsylvania, 1997-2001. Environmental Health Perspectives, 113, 602-606. https://doi.org/10.1289/ehp.7646
- SAS Institute Inc. (2014). SAS/ETS(R) 9.22 user's guide, SAS Institute Inc., North Carolina.
- Shea, B. Julia. (2008). Assessing the methodological quality of systematic reviews, Newfoundland and Labrador, Canada.
- Shin, Y. S. and Ahn, Y. O. (2008). Medical research methodology, Seoul National University Press, Seoul.
- Shumway, R. H. and Stoffer, D. S. (2011). Time series analysis and its applications, 3nd Ed., Springer, New York.
- Templeton, M. (2004). Time-series analysis of variable star data. The Journal of the American Association of Variable Star Observers, 32, 41-54.
- Tryon, W. W. (1982). A simplified time-series analysis for evaluating treatment interventions. Journal of Applied Behavior Analysis, 15, 423-429 https://doi.org/10.1901/jaba.1982.15-423
- Tsay, R. S. (2002). Linear time series analysis and its application, John Wiley & Sons Inc., New York.
- Velicer, W. F. and Fava, J. L. (2003). Time series analysis. In Handbook of Psychology, edited by J. Schinka and W. Velicer, John Wiley & Sons, New York.
- Walker, A. M. (1962). Large-sample estimation of parameters for autoregressive processes with movingaverage residuals. Biometrika, 49, 117-131. https://doi.org/10.1093/biomet/49.1-2.117
- Wassenaar, A., Schouten, J. and Schoonhoven, L. (2014). Factors promoting intensive care patients' perception of feeling safe: A systematic review. International Journal of Nursing Studies, 51, 261-273. https://doi.org/10.1016/j.ijnurstu.2013.07.003
- You, M. and Cho, W. (2013). Review and analysis of research on job stress: Current challenges and new directions. Journal of Korean Academy of Nursing Administration, 19, 63-75. https://doi.org/10.11111/jkana.2013.19.1.63
Cited by
- Study of comprehensive and integrative treatment using acupuncture for cancer pain through publication review vol.26, pp.6, 2015, https://doi.org/10.7465/jkdi.2015.26.6.1327
- Efficiency analysis of the community welfare centers for people with disabilities using data envelopment analysis vol.26, pp.1, 2015, https://doi.org/10.7465/jkdi.2015.26.1.111
- Optimization Model for the Mixing Ratio of Coatings Based on the Design of Experiments Using Big Data Analysis vol.3, pp.10, 2014, https://doi.org/10.3745/KTCCS.2014.3.10.383
- 공공기록관의 소셜미디어 이용 현황 및 이용자 관심도 분석: 국가기록원과 대통령기록관을 중심으로 vol.33, pp.2, 2014, https://doi.org/10.3743/kosim.2016.33.2.135
- Long Term Estimation for the Body Size and BMI of Korean Children & Youth Using ARIMA Model vol.27, pp.3, 2014, https://doi.org/10.24985/kjss.2016.27.3.530
- 기후변화가 마로해의 김 양식에 미치는 영향 및 대응방안 vol.52, pp.2, 2014, https://doi.org/10.12939/fba.2021.52.2.055