• 제목/요약/키워드: Medical statistics

검색결과 2,042건 처리시간 0.031초

Vitamin D and fibromyalgia: a meta-analysis

  • Makrani, Atekeh Hadinezhad;Afshari, Mahdi;Ghajar, Marayam;Forooghi, Zahra;Moosazadeh, Mahmood
    • The Korean Journal of Pain
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    • 제30권4호
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    • pp.250-257
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    • 2017
  • Vitamin D is a cofactor responsible for autoimmune disorders. There is no agreement in the studies investigating the association between vitamin D and fibromyalgia. This study aims to combine the conflicting results of the primary studies which compared these patients with control groups regarding the serum concentration of vitamin D. This meta-analysis has been designed based on PRISMA guidelines. Relevant keywords were searched in PubMed, Science direct, Scopus, Cochrane, and Google scholar and primary studies were selected. After screening the eligible studies according to inclusion/exclusion criteria, we investigated the risk of bias in the selected studies and also the heterogeneity between the primary results using Cochrane (Q) and I-squared ($I^2$) indices. The primary results were combined using inverse variance method and Cohen statistics as well as a random effects model. Publication bias was assessed using Egger test. Sensitivity analysis was applied to investigate the influence of each primary study on the final result of the meta-analysis. Suspected factors in the heterogeneity were assessed using meta-regression models. We entered 12 eligible studies in the meta-analysis including 851 cases compared with 862 controls. The standardized mean difference of Vitamin D between the two groups was -0.56 (95% confidence interval: -1.05, -0.08). Our meta-analysis showed that vitamin D serum levels of patients with fibromyalgia was significantly lower than that of control group.

Identifying High-Risk Clusters of Gastric Cancer Incidence in Iran, 2004 - 2009

  • Kavousi, Amir;Bashiri, Yousef;Mehrabi, Yadollah;Etemad, Korosh;Teymourpour, Amir
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권23호
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    • pp.10335-10337
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    • 2015
  • Background: Gastric cancer is considered as the second most prevalent cancer in Iran. The present research sought to identify high risk clusters of gastric cancer with mapping using space-time scan statistics. Materials and Methods: The present research is of descriptive type. The required data were gathered from the registered cancer reports of Cancer Control Office in the Center for Non Communicable Disease of the Ministry of Health (MOH). The data were extracted at province level in the time span of 2004-9. Sat-Scan software was used to analyse the data and to identify high risk clusters. ArcGIS10 was utilized to map the distribution of gastric cancer and to demonstrate high risk clusters. Results: The most likely clusters were found in Ardabil, Gilan, Zanjan, East-Azerbaijan, Qazvin, West-Azerbaijan, Kurdistan, Hamadan, Tehran and Mazandaran between 2007 and 2009. It was statistically significant at the p-value below 0.05. Conclusions: High risk regions included Northern, West-North and central provinces, particularly Ardabil, Kurdistan, Mazandaran and Gilan. More screening tests are suggested to be conducted in high risk regions along with more frequent epidemiological studies to enact gastric cancer prevention programs.

요통진료 및 오적산 사용현황파악을 위한 전화설문조사 (The Use of Ojeok-san in Low Back Pain Patients : Results of a Telephone Survey)

  • 신경민;장민기;김은정;김선웅;이재동;김갑성;이승덕
    • Journal of Acupuncture Research
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    • 제27권2호
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    • pp.71-78
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    • 2010
  • Objectives : This survey was accomplished to find out how Korean medical doctors take Ojeok-san prescriptions for low back pain in clinical practice. Methods : The survey questionnaire was developed by the committee of experts who major in acupuncture & moxibustion or statistics for acupuncture clinical trial protocol development. 306 persons having more than 5 years experience were randomly selected from a list of Korean medical doctors. Telephone interviews with them were conducted by the well-trained interviewers between March 21 and April 4 in 2009 and the computerized data were analyzed by STATA 9.0 SE version(Stata Corp, Colleg Station Tex, USA) statistical program. Results : 1. 192 out of 306(65.1%) Korean medical doctors taked Ojeok-san prescriptions for musculoskeletal disorders patients and 183 out of 192(95.3%) Korean medical doctors taked Ojeok-san prescriptions for low back pain treatment. 2. The rate of low back pain patients, '20~30%' was 99 people(33.6%) and the rate of Ojeok-san prescriptions for low back pain treatment, 'below 10%' was 65 people(35.5%). 3. In Ojeok-san effect of low back pain treatment, 'greate effects' 29.5%, 'tolerable effects' 66.7%, 'no effects' 3.8% were selected. In granule extracts effect, 'similar to Original herbs' 9.8%, 'unlike to Original herbs' 90.2% were selected. Conclusions : In our telephone survey, Korean medical doctors taked Ojeok-san prescriptions for low back pain treatment. Further research on this issue is needed.

Application of Multiple Imputation Method in Analyzing Data with Missing Continuous Covariates

  • Ghasemizadeh Tamar, S.;Ganjali, M.
    • 응용통계연구
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    • 제21권4호
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    • pp.659-664
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    • 2008
  • Missing continuous covariates are pervasive in the use of generalized linear models for medical data. Multiple imputation is the most common and easy-to-do method of dealing with missing covariate data. However, there are always serious warnings in using this method. There should be concern to make imputed values more proper. In this paper, proper imputation from posterior predictive distribution is developed for implementing with arbitrary priors. We use empirical distribution of the posterior for approximating the posterior predictive distribution, to sample from it. This method is preferable in comparison with a presented imputation method of us which uses a full model to impute missing values using available software. The proposed methods are implemented on glucocorticoid data.

On statistical Computing via EM Algorithm in Logistic Linear Models Involving Non-ignorable Missing data

  • Jun, Yu-Na;Qian, Guoqi;Park, Jeong-Soo
    • 한국통계학회:학술대회논문집
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    • 한국통계학회 2005년도 추계 학술발표회 논문집
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    • pp.181-186
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    • 2005
  • Many data sets obtained from surveys or medical trials often include missing observations. When these data sets are analyzed, it is general to use only complete cases. However, it is possible to have big biases or involve inefficiency. In this paper, we consider a method for estimating parameters in logistic linear models involving non-ignorable missing data mechanism. A binomial response and normal exploratory model for the missing data are used. We fit the model using the EM algorithm. The E-step is derived by Metropolis-hastings algorithm to generate a sample for missing data and Monte-carlo technique, and the M-step is by Newton-Raphson to maximize likelihood function. Asymptotic variances of the MLE's are derived and the standard error and estimates of parameters are compared.

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기상에 따른 고령환자의 질병 발생빈도 예측모형 비교 (Comparison of forecasting models of disease occurrence due to the weather in elderly patients)

  • 이선재;여인권
    • 응용통계연구
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    • 제29권1호
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    • pp.145-155
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    • 2016
  • 이 논문에서는 기상에 따른 고령 환자의 질병 발생빈도를 예측하는 방법을 비교한다. 분석을 위해 건강보험심사평가원의 고령 환자 의료 자료와 기상청 자료를 주별, 권역별로 병합한다. 기상에 영향을 받는 질병의 주별 발생 빈도를 ARMAX모형, VARMAX모형, TSCS회귀모형으로 분석하고 MSE, MAPE, MAE 기준으로 모형을 비교했다.

Two Bayesian methods for sample size determination in clinical trials

  • Kwak, Sang-Gyu;Kim, Dal-Ho;Shin, Im-Hee;Kim, Ho-Gak;Kim, Sang-Gyung
    • Journal of the Korean Data and Information Science Society
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    • 제21권6호
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    • pp.1343-1351
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    • 2010
  • Sample size determination is very important part in clinical trials because it influences the time and the cost of the experimental studies. In this article, we consider the Bayesian methods for sample size determination based on hypothesis testing. Specifically we compare the usual Bayesian method using Bayes factor with the decision theoretic method using Bayesian reference criterion in mean difference problem for the normal case with known variances. We illustrate two procedures numerically as well as graphically.

A study on interaction effect among risk factors of delirium using multifactor dimensionality reduction method

  • Lee, Jong-Hyeong;Lee, Yong-Won;Lee, Yoon-Seok;Lee, Jea-Young
    • Journal of the Korean Data and Information Science Society
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    • 제22권6호
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    • pp.1257-1264
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    • 2011
  • Delirium is a neuropsychiatric disorder accompanying symptoms of hallucination, drowsiness, and tremors. It has high occurrence rates among elders, heart disease patients, and burn patients. It is a medical emergency associated with increased morbidity and mortality rates. That s why early detection and prevention of delirium ar significantly important. And This mental illness like delirium occurred by complex interaction between risk factors. In this paper, we identify risk factors and interactions between these factors for delirium using multi-factor dimensionality reduction (MDR) method.

방사선 치료 전국 통계 -1990- (Annual Statistics of Radiation Therapy -1990-)

  • 대한치료방사선과학회
    • Radiation Oncology Journal
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    • 제9권2호
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    • pp.361-367
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    • 1991
  • This paper on the status of radiotherapy machine and related facilities, clinical activities and radiation safety management is based on the statistical data which collected through the questionaire sent to a total number of 37 hospitals holding the Department of Therapeutic Radiology in Korea. It is true that the quality of instruments installed in the hospitals equal to that of the instrument in the industrialized conuntries' hospitals. But the clinical specialists and physicists who can utilize such instruments fall short of the required number, which might be a main factor in hindering the development of therapeutic radiology of Korea. According to the nation-wide cancer statistics, we can estimate the number of annual cancer patients as 45,000 to 50,000. As a result, probably around 25,000 should receive radiation therapy. It is expected that in the future the number of cancer patients to whom radiation therapy should be applied will become twice as much as that of the cancer patients in 1990. Given such a condition, the problem facing the Korean Society of Therapeutic Radiology now is to increase the number of medical doctors and physicists.

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가이드 맵과 인터랙티브 시각화를 이용한 의료 통계분석 시스템 (A System for Medical Statistical Analysis Using Guide Maps and Interactive Visualization)

  • 이돈수;최수미
    • 한국멀티미디어학회논문지
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    • 제8권7호
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    • pp.1000-1011
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    • 2005
  • 본 논문에서는 통계에 대한 지식이 부족한 임상 의학자들이 보다 쉽고 정확하게 데이터를 분석할 수 있도록 표본 데이터의 분포에 따라 적절한 분석 방법을 제시해주고, 분석 과정을 아이콘들의 트리로 구성한 가이드맵을 제공하는 의료 통계분석 시스템을 개발하였다. 개 발 시스템은 일반적으로 활용되는 통계 방법, 반복측정자료에 활용되는 통계 방법, 생존분석 등 의료 분야에서 자주 사용되는 분석법들을 포함하고 있다. 또한 3차원 글리프를 이용하여 결과를 인터랙티브하게 보여주고, 불확실성을 시각화함으로써 분석된 결과를 더욱 쉽게 이해할 수 있도록 하였다.

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