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What Should We Consider Carefully When Performing Survival Analysis?

Kwak SG, Choi EJ

The survival data and the survival analysis are the data and analysis methods used to study the probability of survival. The survival data consist of a period from the juncture...
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Drawing Guideline for JKMS Manuscript (01) Kaplan-Meier Curve and Survival Analysis

Kim J

The appropriate plot effectively conveys the author's conclusions to readers. Journal of Korean Medical Science will provide a series of special articles to show you how to make consistent and...
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Statistical Note on the Survival Analysis

Kim JK, Suh DC

  • KMID: 1993748
  • Neurointervention.
  • 2009 Feb;4(1):6-7.
This brief note describes the principles of survival analysis. Survival analysis is method for studying the time between entry to a study and a subsequent event and is used frequently...
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A computer program for survival analysis

Kim SN

  • KMID: 1742147
  • J Korean Cancer Assoc.
  • 1991 Jun;23(2):429-435.
No abstract available.
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Review of statistical methods for survival analysis using genomic data

Lee S, Lim H

Survival analysis mainly deals with the time to event, including death, onset of disease, and bankruptcy. The common characteristic of survival analysis is that it contains “censored” data, in which...
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Survival analysis: part II – applied clinical data analysis

In J, Lee DK

As a follow-up to a previous article, this review provides several in-depth concepts regarding a survival analysis. Also, several codes for specific survival analysis are listed to enhance the understanding...
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Introduction of Relative Survival Analysis Program: Using Sample of Cancer Registry Data with Stata Software

Jung KW, Kong HJ, Yim SH, Won YJ, Sung J, Shin HR

  • KMID: 2303867
  • Korean J Epidemiol.
  • 2007 Dec;29(2):222-229.
Patient survival is one of the most important measures for the evaluation of progress in cancer patient care across the wide spectrum from diagnosis to treatment. The optimal monitoring method...
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Survival analysis: Part I — analysis of time-to-event

In J, Lee DK

Length of time is a variable often encountered during data analysis. Survival analysis provides simple, intuitive results concerning time-to-event for events of interest, which are not confined to death. This...
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Survival analysis for clinical researchers using personal computer

Lee WJ, Kim YS, Park K, Lee KS

  • KMID: 1693162
  • J Korean Surg Soc.
  • 1992 Feb;42(2):141-155.
No abstract available.
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Survival Analysis in Patients Starting Hemodialysis in Advanced Age: What and How Differs?

Yu SH

  • KMID: 2079287
  • Korean J Nephrol.
  • 2003 Mar;22(2):161-164.
No abstract available.
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Survival analysis for patients with resected N2 lung cancer

Lee JM, Park SI, Sohn KH

  • KMID: 1686053
  • Korean J Thorac Cardiovasc Surg.
  • 1993 Dec;26(12):934-939.
No abstract available.
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Proportionality assuption test of Cox's proportional hazards model in survival analysis

Lee MS, Yoo KY, Noh DY, Choe KJ

  • KMID: 2175510
  • J Korean Cancer Assoc.
  • 1991 Dec;23(4):852-859.
No abstract available.
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Survival Analysis according to the Treatment Modalities of the Periampullary Carcinoma

Bae JS, Kang KJ, Song WH, Lim TJ, Kim H

  • KMID: 1548533
  • Korean J Gastroenterol.
  • 1999 Nov;34(5):674-681.
BACKGROUND/AIMS: The periampullary carcinoma includes the tumor originated from pancreatic head, distal bile duct, ampulla of Vater and duodenum. The survival and prognostic factors of these tumors after treatment were...
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Survival Analysis EKG Monitor and Anesthetic Machine in Operating Room

Kim WO, Kil HK, Kim KH, Lee WJ

We have done survival analysis of the EKG monitor(from March, 1976 to February, 1993) and anesthetic machine(from February, 1915 to February, 1993) retrospectively in operating room at Severance hospital. Thirty...
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Survival Analysis of Conservative Treatement in Osteoporotic Vertebral Fracture

Koh YD, Kim JO, Kim RG, Kim DY, Kim NK, Kim DJ

STUDY DESIGN: Prospective study. OBJECTIVES: To define the prognostic factors by analyzing the survival rates of osteoporotic vertebral fracture treated by conservative management. SUMMARY OF THE LITERATURE REVIEW: Due to an increasing...
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Survival analysis of spinal muscular atrophy type I

Park HB, Lee SM, Lee JS, Park MS, Park KI, Namgung R, Lee C

PURPOSE: The life expectancy of patients with spinal muscular atrophy (SMA) type I is generally considered to be less than 2 years. Recently, with the introduction of proactive treatments, a...
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Survival of All Cancer Patients in Korea through 2-Year Follow-Up

Yun YH, Bae JM, Lee YS, Ahn SH, Heo DS

Cancer is the most frequent cause of death in both developing and developed countries, including Korea. The aim of this study was to present survival rates of Korean cancer patients....
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Clinical Outcome of Pulmonary Metastasectomy in Patients with Pulmonary Metastasis

Lee YO, Lee EB, Ryu KM

  • KMID: 1878713
  • Korean J Thorac Cardiovasc Surg.
  • 2007 Oct;40(10):674-679.
BACKGROUND: Surgical resection is accepted widely as the standard therapy for complete resectable pulmonary metastases. The number of cases of pulmonary metastasectomy and its survival rate is increasing due to...
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A Clinicopathologic Characteristics and Survival Analysis of 217 Cases of Epithelial Ovarian Cancer

Moon EJ, Jeon WJ, Lee JK, Youn BS, Ryu SY, Kim JH, Kim BG, Park SY, Lee ED, Kim KH

  • KMID: 2262085
  • Korean J Obstet Gynecol.
  • 2000 Sep;43(9):1604-1610.
No abstract available.
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The prognostic factors and survival analysis of primary peritoneal carcinoma

Kwon JY, Bae JY, Cho HJ, Choi JH, Han GT, Lee JM, Ryu KS

  • KMID: 2077524
  • Korean J Obstet Gynecol.
  • 2005 Dec;48(12):2896-2902.
OBJECTIVE: To date, few attempts have been made at clinical features and prognostic factors of primary peritoneal carcinoma (PPC) because of low prevalence. The aim of this study is to...
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