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The methods of survival analysis for clinicians

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Abstract

The methods of survival analysis are required to analyze duration data but their use is restricted possibly due to lack of awareness and the intricacies involved. We explain common methods of survival analysis, namely, life-table, Kaplan- Meier, log-rank and Cox model, in a simple and friendly language so that the medical fraternity can use them with confidence where applicable.

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References

  1. Hirve S, Ganatra B. A prospective cohort study on the survival experience of under five children in rural western India. Indian Pediatr 1997; 34: 995–1001.

    CAS  PubMed  Google Scholar 

  2. Lee SJ, Ahn SJ, Lee JW, Kim SH, Kim TW. Survival analysis of orthodontic mini-implants. Am J Orthod Dentofacial Orthop 2010; 137: 194–199.

    Article  PubMed  Google Scholar 

  3. Giashuddin MS, Kabir M. Breastfeeding duration in Bangladesh and factors associated with it. Indian J Comm Med 2003; 28: 34–38.

    Google Scholar 

  4. Schaefer F, Marr J, Seidel C, Tilgen W, Scharer K. Assessment of gonadal maturation by evaluation of spermaturia. Arch Dis Child 1990; 65: 1205–1207.

    Article  CAS  PubMed  Google Scholar 

  5. Bajpai A, Kabra M, Gupta AK, Menon PSN. Growth pattern and skeletal maturation following growth hormone therapy in growth hormone deficiency: factors influencing outcome. Indian Pediatr 2006; 43: 593–599.

    PubMed  Google Scholar 

  6. Sarin M, Dutta S, Narang A. Randomized controlled trial of compact fluorescent lamp versus standard phototherapy for the treatment of neonatal hyperbilirubinemia. Indian Pediatr 2006; 43: 583–590.

    PubMed  Google Scholar 

  7. May M, Sterne J, Egger M. Parametric survival models may be more accurate than Kaplan-Meier estimates. BMJ 2003; 326: 822.

    Article  PubMed  Google Scholar 

  8. Utley M, Gallivan S, Young A, Cox N, Davies P, Dixey J, et al. Potential bias in Kaplan-Meier survival analysis applied to rheumatology drug studies. Rheumatology (Oxford) 2000; 39: 1–2.

    Article  CAS  Google Scholar 

  9. Hosmer DW, Lemeshow S. Applied Survival Analysis: Regression Modeling of Time to Event Data. Wiley New York: Interscience; 1998.

    Google Scholar 

  10. Indrayan A. Survival Analysis. In: Medical Biostatistics. IInd ed. New York: Chapman & Hall/ CRC Press; 2008: pp. 620–622.

    Google Scholar 

  11. Kim J, Kang DR, Nam CM. Logrank-type tests for comparing survival curves with interval-censored data. Comput Stat Data Analys 2006; 50: 3165–3178.

    Article  Google Scholar 

  12. Bewick V, Cheek L, Ball J. Statistics review 12: Survival analysis. Crit Care 2004; 8: 389–394.

    Article  PubMed  Google Scholar 

  13. Fisher LD, Lin DY. Time dependent covariates in the Cox proportional-hazards regression model. Annu Rev Public Health 1999; 20: 145–157.

    Article  CAS  PubMed  Google Scholar 

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Authors and Affiliations

  1. Department of Biostatistics and Medical Informatics, University College of Medical Sciences, Delhi, India

    A. Indrayan & A. K. Bansal

  2. Department of Biostatistics and Medical Informatics, University College of Medical Sciences, Dilshad Garden, Delhi, 110 095, India

    A. Indrayan

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  1. A. Indrayan
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  2. A. K. Bansal
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Correspondence to A. Indrayan.

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Indrayan, A., Bansal, A.K. The methods of survival analysis for clinicians. Indian Pediatr 47, 743–748 (2010). https://doi.org/10.1007/s13312-010-0112-4

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