1.How to Increase Your “Power”
Hip & Pelvis 2018;30(1):1-4
No abstract available.
Data Accuracy
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Data Interpretation, Statistical
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Statistics as Topic
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Biomedical Research
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Analysis of Variance
2.Academician Li Lianda talking about doctors doing scientific research.
China Journal of Chinese Materia Medica 2015;40(17):3352-3354
At present, Chinese medical field faces with an important problem of how to correctly handle the relationship between medical and scientific research. Academician Li Lianda advocates doctors doing scientific research under the premise of putting the medical work first. He points out that there are many problems in the process of doctors doing scientific research at present such as paying more attention to scientific research than medical care, excessively promoting building scientific research hospital, only paying attention to training scientific talents, research direction be flashy without substance, the medical evaluation system should be improved and so on. Medical, scientific research and teaching are inseparable because improving medical standards depends on scientific research and personnel training. But not all doctors need to take into account of medical treatment, scientific research and teaching in the same degree while not all hospitals need to turn into three-in-one hospital, scientific research hospital or teaching hospital. It must be treated differently according to the actual situation.
Altitude
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Biomedical Research
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education
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manpower
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trends
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Humans
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Physicians
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psychology
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statistics & numerical data
4.Present situation of science and technology of traditional Chinese medicine in China.
China Journal of Chinese Materia Medica 2014;39(2):334-337
This paper explains the status of science and technology of traditional Chinese medicine in China. Basic conclusions are as follows: policy environment is improved step by step, R&D funds and R&D personnel in traditional Chinese medicine field are increased continuously, and a lot of achievements have been got in traditional Chinese medicine field.
Academies and Institutes
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economics
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statistics & numerical data
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Biomedical Research
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economics
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manpower
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statistics & numerical data
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China
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Medicine, Chinese Traditional
5.Evaluation of the conjoint efficacy in Chinese medicine with the longitudinal latent variable linear mixed model.
Dan-Hui YI ; Yang LI ; Shu-Xin SHAO ; Yan-Ming XIE ; Ya YUWEN
Chinese journal of integrative medicine 2013;19(8):629-635
Chinese medicine (CM) clinical efficacy evaluation research involves the longitudinal multivariate measurement which means that patients are measured repeatedly and each patient is measured by several indicators on each fixed cross-section. Although each indicator can be evaluated separately with a longitudinal linear mixed model, it is important to consider all the endpoints together especially when researchers pay special attention to the change of the conjoint efficacy for several indicators in one patient. In this article, we introduce a latent variable linear mixed model to the CM conjoint efficacy evaluation and discuss why and how to analyze the longitudinal multivariate endpoint data in the clinical CM efficacy evaluation research. It may lead to the new insight of using such methodology in the field of conjoint efficacy evaluating of CM study. And with the definition of syndrome and symptom in the CM theory, the applied discussion brings the insight of CM syndrome evaluating in future. We illustrate this methodology using an example of CM efficacy evaluation from an ischemic stroke research.
Biomedical Research
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methods
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statistics & numerical data
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Data Interpretation, Statistical
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Endpoint Determination
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methods
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statistics & numerical data
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Humans
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Linear Models
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Medicine, Chinese Traditional
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methods
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Multivariate Analysis
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Research Design
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statistics & numerical data
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Stroke
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drug therapy
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epidemiology
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Treatment Outcome
6.Korea's Contribution to Radiological Research Included in Science Citation Index Expanded, 1986-2010.
You Jin KU ; Dae Young YOON ; Kyoung Ja LIM ; Sora BAEK ; Young Lan SEO ; Eun Joo YUN ; Chul Soon CHOI ; Sang Hoon BAE ; Hyun LEE ; Young Su JU
Korean Journal of Radiology 2012;13(5):523-529
OBJECTIVE: To evaluate scientific papers published by Korean radiologists in the Science Citation Index Expanded (SCIE) radiology journals, between 1986 and 2010. MATERIALS AND METHODS: The Institute for Scientific Information Web of Knowledge-Web of Science (SCIE) database was searched for all articles published by Korean radiologists, in SCIE radiology journals, between 1986 and 2010. We performed the analysis by typing "Korea" and "radiol" in the address section and selecting the subject area of "Radiology, Nuclear Medicine, and Medical Imaging" with the use of the general search function of the software. Analyzed parameters included the total number of publications, document types, journals, and institutions. In addition, we analyzed where Korea ranks, compared to other countries, in terms of the number of published articles. All these data were analyzed according to five time periods: 1986-1990, 1991-1995, 1996-2000, 2001-2005, and 2006-2010. RESULTS: Overall, 4974 papers were published by Korean radiologists, in 99 different SCIE journals, between 1986 and 2010, of which 4237 (85.2%) were article-type papers. Of the total 115395 articles, worldwide, published in radiology journals, Korea's share was 3.7%, with an upward trend over time (p < 0.005). The journal with the highest number of articles was the American Journal of Roentgenology (n = 565, 13.3%). The institution which produced the highest number of publications was Seoul National University (n = 932, 22.0%). CONCLUSION: The number of scientific articles published by Korean radiologists in the SCIE radiology journals has increased significantly between 1986 and 2010. Korea was ranked 4th among countries contributing to radiology research during the last 5 years.
*Bibliometrics
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Biomedical Research/*statistics & numerical data
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Periodicals as Topic/*statistics & numerical data
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*Radiology
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Republic of Korea
7.Pitfalls and Important Issues in Testing Reliability Using Intraclass Correlation Coefficients in Orthopaedic Research.
Kyoung Min LEE ; Jaebong LEE ; Chin Youb CHUNG ; Soyeon AHN ; Ki Hyuk SUNG ; Tae Won KIM ; Hui Jong LEE ; Moon Seok PARK
Clinics in Orthopedic Surgery 2012;4(2):149-155
BACKGROUND: Intra-class correlation coefficients (ICCs) provide a statistical means of testing the reliability. However, their interpretation is not well documented in the orthopedic field. The purpose of this study was to investigate the use of ICCs in the orthopedic literature and to demonstrate pitfalls regarding their use. METHODS: First, orthopedic articles that used ICCs were retrieved from the Pubmed database, and journal demography, ICC models and concurrent statistics used were evaluated. Second, reliability test was performed on three common physical examinations in cerebral palsy, namely, the Thomas test, the Staheli test, and popliteal angle measurement. Thirty patients were assessed by three orthopedic surgeons to explore the statistical methods testing reliability. Third, the factors affecting the ICC values were examined by simulating the data sets based on the physical examination data where the ranges, slopes, and interobserver variability were modified. RESULTS: Of the 92 orthopedic articles identified, 58 articles (63%) did not clarify the ICC model used, and only 5 articles (5%) described all models, types, and measures. In reliability testing, although the popliteal angle showed a larger mean absolute difference than the Thomas test and the Staheli test, the ICC of popliteal angle was higher, which was believed to be contrary to the context of measurement. In addition, the ICC values were affected by the model, type, and measures used. In simulated data sets, the ICC showed higher values when the range of data sets were larger, the slopes of the data sets were parallel, and the interobserver variability was smaller. CONCLUSIONS: Care should be taken when interpreting the absolute ICC values, i.e., a higher ICC does not necessarily mean less variability because the ICC values can also be affected by various factors. The authors recommend that researchers clarify ICC models used and ICC values are interpreted in the context of measurement.
Adolescent
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Biomedical Research/*methods/*standards
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Cerebral Palsy
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Child
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Child, Preschool
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Computer Simulation
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Databases, Factual
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Female
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Humans
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Male
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Models, Theoretical
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Orthopedics/*methods/*standards
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Physical Examination
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Range of Motion, Articular
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Reproducibility of Results
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Research Design
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Statistics as Topic
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Young Adult
8.Fluctuations in the rate of autopsy in China.
Chinese Medical Journal 2011;124(20):3403-3407
Autopsy has played a unique role in the progression of clinical medicine, medical education, epidemiology, and public health. However, the autopsy rate has been decreasing during the past several decades worldwide, and its necessity is frequently argued. Autopsy-based research in China, a country with the world's largest population, is very important for studying the spectrum and epidemiology of diseases as well as for discovering new diseases. This article summarizes the brief history of autopsy in China and analyzes the cause of its decline in recent decades by reviewing previously published papers, review articles, self-collected materials, and private correspondence. Since the first officially permitted autopsy in 1913, China witnessed the highest autopsy rate between 1950 and 1970, and since then the autopsy rate began to decline as it in other parts of the world. The main reasons for the reduction in autopsy rates in China include negligence by hospital administrators and relevant government authorities, unmotivated clinicians, helpless pathologists, unenforceable regulations and laws, and local cultures and customs.
Autopsy
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history
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statistics & numerical data
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Biomedical Research
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history
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statistics & numerical data
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China
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History, 20th Century
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History, 21st Century
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History, Medieval
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Humans
9.The Assessment of Korean Gastroenterology Research Achievements.
You Sun KIM ; Hee Kyung CHUNG ; Joo Sung KIM ; Seungmin BANG ; Moon Seok CHOI ; Jung Mogg KIM ; Choon Shil LEE ; Jae Bock CHUNG
The Korean Journal of Gastroenterology 2009;53(2):131-140
The subcommittee on the Assessment of Korean Gastroenterology Research Achievements of the Korean Society of Gastroenterology (KSG) conducted a survey of SCI papers in the fields of gastroenterology to evaluate the current status of Korean gastroenterology research. A total of 4,260 papers were confirmed as gastroenterology papers published by researchers affiliated with Korean medical institutions during the 1974-2006 periods. Among those 4,260 papers, 2,373 papers were authored by the members of the KSG. The first Korean gastroenterology SCI paper was published in 1981 and the Korean SCI gastroenterology publication output dramatically increased since 1995. Sixty three institutions published SCI papers and 14 institutions published more than 100 SCI papers. Sixteen members of KSG published more than 20 SCI papers as reprint authors. Ninety percent of Korean gastroenterology papers was cited at least once. KSG member reprint author papers were cited an average of 4.1 times within 3 years after publication. Korean gastroenterology research achievements over the last 30 years show a remarkable growth in terms of quantity and quality. The KSG members have played central roles in these progresses, and it is anticipated that they will continue to do so in the future.
Academies and Institutes
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Achievement
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Authorship
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*Bibliometrics
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Biomedical Research/*statistics & numerical data
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Gastroenterology/*statistics & numerical data
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Korea
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Periodicals as Topic/*statistics & numerical data
10.The relationship between Ridit analysis and rank sum test for one-way ordinal contingency table in medical research.
Ling WANG ; Jie-lai XIA ; Li-li YU ; Chan-juan LI ; Su-zhen WANG
Chinese Journal of Preventive Medicine 2008;42(6):427-430
OBJECTIVETo explore several numerical methods of ordinal variable in one-way ordinal contingency table and their interrelationship, and to compare corresponding statistical analysis methods such as Ridit analysis and rank sum test.
METHODSFormula deduction was based on five simplified grading approaches including rank_r(i), ridit_r(i), ridit_r(ci), ridit_r(mi), and table scores. Practical data set was verified by SAS8.2 in clinical practice (to test the effect of Shiwei solution in treatment for chronic tracheitis).
RESULTSBecause of the linear relationship of rank_r(i) = N ridit_r(i) + 1/2 = N ridit_r(ci) = (N + 1) ridit_r(mi), the exact chi2 values in Ridit analysis based on ridit_r(i), ridit_r(ci), and ridit_r(mi), were completely the same, and they were equivalent to the Kruskal-Wallis H test. Traditional Ridit analysis was based on ridit_r(i), and its corresponding chi2 value calculated with an approximate variance (1/12) was conservative. The exact chi2 test of Ridit analysis should be used when comparing multiple groups in the clinical researches because of its special merits such as distribution of mean ridit value on (0,1) and clear graph expression. The exact chi2 test of Ridit analysis can be output directly by proc freq of SAS8.2 with ridit and modridit option (SCORES =).
CONCLUSIONThe exact chi2 test of Ridit analysis is equivalent to the Kruskal-Wallis H test, and should be used when comparing multiple groups in the clinical researches.
Biomedical Research ; methods ; Statistics as Topic ; Statistics, Nonparametric

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