• Asian Pacific Journal of Cancer Prevention
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• v.14 no.3
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• pp.2097-2100
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• 2013

Background: To estimate the numbers and trends in cervix cancer cases visiting the Radiotherapy Department at Manipal Teaching Hospital, Pokhara, Nepal, statistical modelling from retrospective data was applied. Materials and Methods: A retrospective study was carried out on data for a total of 159 patients treated for cervix cancer at Manipal Teaching Hospital, Pokhara, Nepal, between $28^{th}$ September 2000 and $31^{st}$ December 2008. Theoretical statistics were used for statistical modelling and forecasting. Results: Using curve fitting method, Linear, Logarithmic, Inverse, Quadratic, Cubic, Compound, Power and Exponential growth models were validated. Including the constant term, none of the models fit the data well. Excluding the constant term, the cubic model demonstrated the best fit, with $R^2$=0.871 (p=0.004). In 2008, the observed and estimated numbers of cases were same (12). According to our model, 273 patients with cervical cancer are expected to visit the hospital in 2015. Conclusions: Our data predict a significant increase in cervical cancer cases in this region in the near future. This observation suggests the need for more focus and resource allocation on cervical cancer screening and treatment.

• Journal of Acupuncture Research
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• v.23 no.6
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• pp.177-187
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• 2006

Objectives : Bloodletting therapeutics is one of the most popular oriental treatments in Korea. In this study, we operate the Telephone Survey for grasping clinical actual state bloodletting therapeutics in Korea. Methods : The list of the Korean medical doctors with experiences more than 10 years is provided by the Association of the Korean Oriental Medicine. A stratified random sample of Korean medical doctors is drawn for the telephone interviews. We choose a bound on the error of estimation equal to 3.2 percentage, and the sample size is 321 for the national sample. We develop a questionnaire for telephone interviews. We carefully design the questionnaire to minimize non-sampling errors by using the focus group activities and the pretest. We give the details of the results based on the sample design. Also, we present some socialdemograhpic characteristics for the samples. Telephone interviews with them were conducted by the well-trained interviewers of College of Korean Medicine student from 11th May 2006 to 17th May 2006. Results : 1. Two hundred eighty eight(89.4%) out of 322 Korean oriental medical doctors used bloodletting therapeutics. 2. The most common main bloodletting treatment is reported by patients was musculo-skeletal disorder(60.2%). 3. Two hundred ninety one(90.3%) out of 322 Korean oriental medical doctors opposed that commercial using bloodletting without medical diagnosis. Conclusion : Bloodletting therapeutics is one of the most popular oriental treatments in Korea. The majority(89.4%) of Korean medical doctors used bloodletting therapeutics in this survey.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.15
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• pp.6413-6416
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• 2015

Colorectal cancer incidence and mortality in Kazakhstan are relatively high but exact statistics have hitherto been lacking and trends over time are unclear. The present study was therefore undertaken to retrospectively assess data for East Kazakhstan, accessed from the central registration office, for the period 2004-2013. Approximate age standardized data for incidence and mortality were generated and compared across age groups, gender and year. It was determined that during the studied period 3,417 new cases of colorectal cancer were registered and 2,259 died of this pathology. Average cancer cancer incidence and mortality over the ten years were $24.1/10^5$ and $15.9/10^5$ respectively, and the overall ratio of mortality/incidence (M/I) was 0.69:1 (range 0.58-0.73). Both incidence and mortality tended to remain constant in both males and females. The male to female ratios also did not significantly vary over time but a trend for improvement of the mortality to incidence ratio was observed, especially for rectum. Whether this might be related to screening remains unclear. These preliminary data indicate that whereas colorectal cancer continues to be important, change in environmental factors are not having a great impact on incidence in East Kazakhstan.

• Korean Medical Education Review
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• v.17 no.3
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• pp.131-139
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• 2015

The purpose of this study was to develop a career planning program for medical students and to examine its effectiveness with regard to career choice motivation and career maturity. A total of 89 medical students participated in the study. Forty-four were in the experimental group and 45 were in the control group. The collected data were analyzed with the t-test, analysis of covariance, descriptive statistics, and analysis of frequency by PASW SPSS ver. 18.0 (SPSS Inc.). A career planning program was developed using the ADDIE (analysis, design, development, implementation, and evaluation) model. The contents of self-understanding and career exploration were included in this program. The program was conducted as a seminar with preferred major professors. There was a significant difference in the intrinsic motivation score between the control and experimental groups (p<0.05). The score of the experimental group (M=4.59) was higher than that of the control group (M=4.40). Significant differences in decisiveness (p<0.01) and realistic choice (p<0.05), the sub-factors of the career maturity test, were found between the control and experimental groups. The score of decisiveness of the experimental group (M=2.94) was higher than that of the control group (M=2.79). The score of realistic choice in the experimental group (M=3.17) was lower than that in the control group (M=3.37). Most medical students were satisfied with the career planning program. It is hoped that these results provide useful information for designing career guidance programs for students in medical schools.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.4
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• pp.1621-1625
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• 2015

Background: Financial distress due to the cost of cancer treatments is prevalent among cancer patients. Identifying the level of financial distress and its affecting factors has an important role in providing supportive services. Accordingly, the aims of this study were to determine these parameters among Iranian cancer patients. Materials and Methods: This descriptive-correlational study was undertaken among 262 cancer patients admitted to both private and public hospitals in East Azerbaijan province, Iran. The financial distress/financial well being scale was used to determine financial distress. The data were analyzed using SPSS software using descriptive and inferential statistics (multiple linear regression). Results: Among the 262 cancer patients, 57.3% were male and their mean age was 47.0 years. The mean score for financial distress was 4.12 (2.01). The final regression model demonstrated that the independent variables (predictors) of income less than living expenses, income equal to living expenses, having an employed spouse in governmental job and living with parents, with regression coefficients of -1.029, -0.515, 0.198, and 0.096, respectively, were predictors of financial distress among cancer patients. These variables accounted for 50% of changes in variance of financial distress. Conclusions: Iranian cancer patients have moderate to high levels of financial distress. Considering policies for managing direct and indirect costs of cancer treatments must be followed.

• Communications for Statistical Applications and Methods
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• v.10 no.2
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• pp.553-566
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• 2003

In many cases, the measurement error variances may be functions of the unknown true values or related covariates. This paper considers design-based estimators of the parameters of these variance functions based on the within-unit sample variances. This paper devotes to: (1) define an error scale factor $\delta$; (2) develop estimators of the parameters of the linear measurement error variance function of the true values under large-sample and small-error conditions; (3) use propensity methods to adjust survey weights to account for possible selection effects at the replicate level. The proposed methods are applied to medical examination data from the U.S. Third National Health and Nutrition Examination Survey (NHANES III).

• Journal of the Korean Data and Information Science Society
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• v.27 no.6
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• pp.1645-1651
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• 2016

A lot of data, particularly in the medical field, contain variables that have a measurement error such as blood pressure and body mass index. On the other hand, recently smoothing methods are often used to solve a complex scientific problem. In this paper, we study a Bayesian curve-fitting under functional measurement error model. Especially, we extend our previous model by incorporating covariates free of measurement error. In this paper, we consider penalized splines for non-linear pattern. We employ a hierarchical Bayesian framework based on Markov Chain Monte Carlo methodology for fitting the model and estimating parameters. For application we use the data from the fifth wave (2012) of the Korea National Health and Nutrition Examination Survey data, a national population-based data. To examine the convergence of MCMC sampling, potential scale reduction factors are used and we also confirm a model selection criteria to check the performance.

• 대한예방의학회:학술대회논문집
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• 1999.10a
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• pp.177-178
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• 1999

• The Korean Journal of Applied Statistics
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• v.28 no.6
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• pp.1209-1216
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• 2015

Competing-risks events are often observed in a clustered clinical study such as a multi-center clinical trial. We propose a joint modelling approach via a shared frailty term for competing risks survival data from a cluster. For the inference we use the hierarchical likelihood (or h-likelihood), which avoids an intractable integration. We derive the corresponding h-likelihood procedure. The proposed method is illustrated via the analysis of a practical data set.

• The Korean Journal of Applied Statistics
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• v.24 no.3
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• pp.495-503
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• 2011

When a patent of an innovative (brand-name) small-molecule drug expires, generic copies of the innovative drug may be marketed if their therapeutic equivalence to the innovative drug has been shown. The small-molecule drugs are considered therapeutically equivalent and can be used interchangeably if two drugs are shown to be pharmaceutically equivalent with identical active substance and bioequivalent with comparable pharmacokinetics in a crossover clinical trial. However, the therapeutic equivalence paradigm cannot be applied to biosimilars since the active ingredients of biosimilars are huge molecules with complex and heterogeneous structures, and these molecules are difficult to replicate in every detail. The European Medicine Agency(EMEA) has introduced a regulatory biosimilar pathway which mandates clinical trials to show therapeutic equivalence. In this paper, we discuss statistical considerations in the design and analysis of biosimilar cancer clinical trials.