• Title/Summary/Keyword: statistics department

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Colorectal Cancer Concealment Predicts a Poor Survival: A Retrospective Study

  • Li, Xiao-Pan;Xie, Zhen-Yu;Fu, Yi-Fei;Yang, Chen;Hao, Li-Peng;Yang, Li-Ming;Zhang, Mei-Yu;Li, Xiao-Li;Feng, Li-Li;Yan, Bei;Sun, Qiao
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.7
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    • pp.4157-4160
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    • 2013
  • Objectives: Understanding the situation of cancer awareness which doctors give to patients might lead to prognostic prediction in cases of of colorectal cancer (CRC). Methods: Subsets of 10,779 CRC patients were used to screen the risk factors from the Cancer Registry in Pudong New Area in cancer awareness, age, TNM stage, and gender. Survival of the patients was calculated by the Kaplan-Meier method and assessed by Cox regression analysis. The views of cancer awareness in doctors and patients were surveyed by telephone or household. Results: After a median observation time of 1,616 days (ranging from 0 to 4,083 days) of 10,779 available patients, 2,596 of the 4,561 patients with cancer awareness survived, whereas 2,258 of the 5,469 patients without cancer awareness and 406 of the 749 patients without information on cancer awareness died of the disease. All-cause and cancer-specific survival were poorer for the patients without cancer awareness than those with (P < 0.001 for each, log-rank test). Cox multivariate regression analysis showed that cancer concealment cases had significantly lower cancer-specific survival (hazard ratio (HR) = 1.299; 95 % confidence interval (CI): 1.200-1.407)and all-cause survival (HR = 1.324; 95 % CI: 1.227-1.428). Furthermore, attitudes of cancer awareness between doctors and patients were significantly different (P < 0.001). Conclusion: Cancer concealment, not only late-stage tumor and age, is associated with a poor survival of CRC patients.

Discussion : Statistics toward Information Sciences (토론 : 정보 관련 통계학과의 방향)

  • 박노진
    • The Korean Journal of Applied Statistics
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    • v.12 no.2
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    • pp.717-719
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    • 1999
  • A lot of the departments of statistics the Korean universities have changed their departmental names into those related with information sciences. The department of statistics in Taejon University also changed its departmental name, since industries are demanding the statisticians with knowledges about information sciences. The curriculum of the department was reorganized as the graduates can immediately satisfy the demand of future parment was reorganized as the graduates can immediately satisfy the demand of future employers. However, we believe that these should be some departments of statistics devoting to teach high level of statistical theories and to do researches on statistical theories.

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Kullback-Leibler Information in View of an Extended Version of κ-Records

  • Ahmadi, Mosayeba;Mohtashami Borzadaran, G.R.
    • Communications for Statistical Applications and Methods
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    • v.20 no.1
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    • pp.1-13
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    • 2013
  • This paper introduces an extended version of ${\kappa}$-records. Kullback-Leibler (K-L) information between two generalized distributions arising from ${\kappa}$-records is derived; subsequently, it is shown that K-L information does not depend on the baseline distribution. The behavior of K-L information for order statistics and ${\kappa}$-records, is studied. The exact expressions for K-L information between distributions of order statistics and upper (lower) ${\kappa}$-records are obtained and some special cases are provided.

Recurrence Relations Between Product Moments of Order Statistics for Truncated Distributions and Their Applications

  • Saran, Jagdish;Pushkarna, Narinder
    • Journal of the Korean Statistical Society
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    • v.31 no.3
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    • pp.391-403
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    • 2002
  • In this paper, some general results for obtaining recurrence relations between product moments of order statistics for doubly truncated distributions are established. These results are then applied to some specific doubly truncated distributions, viz. doubly truncated Weibull, Exponential, Pareto, power function, Cauchy, Lomax and Rayleigh.

Zooming Statistics: Inference across scales

  • Hannig, Jan;Marron, J.S.;Riedi, R.H.
    • Journal of the Korean Statistical Society
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    • v.30 no.2
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    • pp.327-345
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    • 2001
  • New statistical methods are ended to analyzed data in a multi-scale way. Some multi-scale extensions of stand methods, including novel visualization using dynamic graphics are proposed. These tools are used to explore non-standard structure in internet traffic data.

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Jackknife Estimation for Mean in Exponential Model with Grouped and Censored Data

  • Kil Ho Cho;Yong Ku Kim;Seong Kwa Jeong
    • Communications for Statistical Applications and Methods
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    • v.5 no.3
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    • pp.869-878
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    • 1998
  • In this paper, we propose some jackknife estimators for mean in the exponential model with grouped and censored data. Also, we compare the proposed jackknife estimators to other approximate estimators in terms of the mean square error and bias.

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