Skip to main content
SpringerLink
Log in

Event history and survival analysis in the social sciences

I. Background and introduction

  • Published:
Quality and Quantity Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

References

  • AllisonP.D. (1982). “Discrete-Time Methods for the analysis of event histories”, Sociological Methodology1982: 61–98.

    Google Scholar 

  • Atkins, E., Cherry, N., Douglas, J.W.B., Kiernan, K.E. & Wadsworth, M.E.J. (1981). “The 1946 British birth cohort: an account of the origins, progress nd results of the National Survey of Health and Development”, in S.A. Mednick & A.E. Baert (eds.), Prospective Longitudinal Research. OUP for WHO.

  • BakerR.J. & NelderJ.A. (1978). The GLIM System. Release 3. Oxford: Numerical Algorithms Group.

    Google Scholar 

  • BarlowR.E. & ProschanF. (1975). Statistical Theory of Reliability and Life Testing. New York: Holt Rinehart, Winsten.

    Google Scholar 

  • BerksonJ. & GageR. (1950). “Calculation of Survival Rates for Cancer”, Proceeding of the Mayo Clinic 25: 270.

    Google Scholar 

  • BreslowN.E. (1972). Contribution to discussion of paper by D.R. Cox. J. Roy. Statistics Soc. B34: 216–7.

    Google Scholar 

  • BreslowN.E. (1974). “Covariance analysis of censored survival data”, Biometrics 30: 89–100.

    Google Scholar 

  • Carroll, G.R., Hannan, M.T., Tuma, N.B. & Warsavage, B. (1978). “Alternative estimation procedures for event history analysis: a Monte Carlo Study”, Technical Report No. 70, Laboratory for Social Research, Stanford University.

  • CoxD.R. (1972). “Regression models and life tables”, J. Roy. Statist. Soc. B34: 187–220.

    Google Scholar 

  • CoxD.R. (1975). “Partial likelihood”, Biometrika 62: 269–276.

    Google Scholar 

  • Cox, D.R. & Oakes, D. (1984). Analysis of Survival Data. Chapman-Hall.

  • Davies, R.B. (1983). “Duration dependence: a re-evaluation of the competing risk approach”, Environment and Planning A 1057–1065.

  • Diekmann, A. & Mitter, P. (1984). “A comparison of the “sickle function” with alternative stochastic model of divorce rates”, in A.R. Diekman & P. Mitter (eds.), Stochastic Modelling of Social Processes. Academic Press.

  • Duncan, G.J. & Mathiowetz, N.A. (1984). “A Validation Study of Economic Survey Data” Mimeo. Survey Research Centre, Institute for Social Research, University of Michigan.

  • EfronB. (1977). “The efficiency of Cox's likelihood function for censored data”, Jr. Amer. Statist. Ass. 72: 557–575.

    Google Scholar 

  • Elandt-JohnsonR.C. & JohnsonN.L. (1980). Survival Methods and Data Analysis, New York: Wiley.

    Google Scholar 

  • FlinnC.J. & HeckmanJ. (1982). “New methods for analysing individual event histories”, Sociological Methodology 1982: 99–144.

    Google Scholar 

  • Fogelman, K. (ed.) (1983). Growing up in Great Britain. Macmillan for the National Childrens Bureau.

  • Heckman, J. & Singer, B. (1982). “The identification problem in econometric models for duration data”, in W. Hildenbrand (ed.), Advances in Econometrics; Proceedings of World Meeting of the Econometric Society 1980.

  • HeckmanJ. & SingerB. (1984). “Econometric Duration Analysis”, Jr. Econometric63: 132.

    Google Scholar 

  • HolfordT.R. (1976). “Life tables with concomitant information”, Biometrics 32: 587–597.

    Google Scholar 

  • HutchisonD.A. (1987). “Methods of dealing with grouped data: an application to drop out from apprenticeship”, in R.Crouchley (ed.) Longitudinal Data Analysis. Aldershot: Avebury.

    Google Scholar 

  • JohnsonN.L. & KotzS. (1970). Distributions in Statistics, Continuous Univariate Distributions. Boston: Houghton Mifflin.

    Google Scholar 

  • KalbfleischJ.D. & MackayR.J. (1979). “On constant-sum models for censored survival data”, Biometrika 66: 87–90.

    Article  Google Scholar 

  • KalbfleischJ.D. & PrenticeR.L. (1980). The Statistical Analysis of Failure Time Data. New York: Wiley.

    Google Scholar 

  • KaplanE.L. & MeterP. (1958). “Nonparametric estimation from incomplete observations”, Jr. Amer. Statist. Ass. 53: 457–481.

    Google Scholar 

  • Kay, R. (1977). “Proportional hazard regression models and the analysis of censored survival data”, Jr. Roy Statist. Soc. C: 227–237.

    Google Scholar 

  • LagakosS.W. & WilliamsJ.S. (1978). “Models for censored survival analysis: a cone class of variable-sum models”, Biometrika 65: 181–189.

    Google Scholar 

  • Lundin, F.E., Archer, V.E. & Wagoner, J.K. (1979). An exposure-time response model for lung cancer mortality in uranium miners: effects of radiation exposure, age and cigarette smoking”, pp. 243–264 in Breslow & Whittemore (eds), Environment and Health. SIAM.

  • McCullagh, P., Nelder, J.A. (1983). Generalised Linear Models. Chapman & Hall.

  • Martin, J. & Roberts, C. (1984). Women and Employment: a Lifetime Perspective. HMSO.

  • MyersM., HankeyB.F. & MantelN. (1973). “A logistic-exponential model for use with response-time data involving regressor variables”, Biometrics 29: 257–269.

    Google Scholar 

  • NelderJ.A. & WedderburnR.W.M. (1972). “Generalised linear models”, J. Roy. Statist. Soc. A 135: 370–384.

    Google Scholar 

  • NelsonW. (1972). “Theory and applications of hazard plotting for censored failure data”, Technometrics 13: 201–201.

    Google Scholar 

  • OakesD. (1977). “The Asymptotic information in censored survival data”, Biometrika 64: 441–448.

    Google Scholar 

  • Osborne, A.F., Butler, N.R. & Morris, A.C. (1984). The Social Life of Britain's Five Year Olds. Routledge & Kegan Paul.

  • Palmore, E.B., Fillenbaum, G.G. & George, L.K. (1984). “Consequences of retirement”, J. Gerontol. 109–116.

  • PierceD.A., StuartW.H. & KopeckyK.J. (1979). “Distribution free regression analysis of grouped survival data”, Biometrics 34: 785–793.

    Google Scholar 

  • Plewis, I.F. (1985). Analysing Change. Wiley.

  • Rai, K. & van Ryzin, J. (1979). “Risk assessment of toxic environment section using a generalised multi-hit response model”, pp. 99–117 in Breslow & Whittemore (eds.), Environment and health. SIAM.

  • SAS Institute Inc. (1982). SAS Users Guide. SAS Institute Inc. Cary N.C.

    Google Scholar 

  • ShepherdP. (1985). The National Child Development Study: an introduction to the origins of the Study and the methods of data collection. Working Paper No. 1 Mimeo, NCDS User Support Group, City University.

    Google Scholar 

  • ThompsonW.A. (1977). “On the treatment of grouped observations in life studies”, Biometrics 33: 467–470.

    Google Scholar 

  • TumaN.B. (1980). Invoking RATE. Mannheim: ZUMA.

    Google Scholar 

  • TumaN.B. (1982). “Nonparametric and partially parametric approaches to event history analysis”, Sociological Methodology1982: 1–60.

    Google Scholar 

  • Tuma, N.B. & Hannan, M.T. (1984). Social Dynamics: Models and Methods. Academic Press.

  • TurnbullB.W. (1974). “Nonparametric estimation of a survivorship function with doubly censored data”, J. Amer. Statist. Ass. 69: 169–173.

    Google Scholar 

  • Wall, W.D. & Williams, H.L. (1970). Longitudinal Studies and the Social Sciences. Heinemann.

  • WilliamsJ.S. & LagakosS.W. (1977). “Models for censored survival analysis: constant sum and variable models”, Biometrika 64: 215–224.

    Google Scholar 

  • ZippinC. & ArmitageP. (1966). “Use of concomitant variables and incomplete survival information in the estimation of an exponential survival parameter”, Biometrics 22: 665–672.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. National Foundation for Educational Research in England and Wales, The Mere, Upton Park, SL1 2DQ, Slough, Berks, UK

    Dougal Hutchison

Authors
  1. Dougal Hutchison
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hutchison, D. Event history and survival analysis in the social sciences. Qual Quant 22, 203–219 (1988). https://doi.org/10.1007/BF00223042

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00223042

Keywords

Search

Navigation