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References

  • 1
    Sacco RL, Wolf PA, Kannel WB, McNamara PM. Survival and recurrence following stroke: the Framingham study. Stroke 1982; 13(3):290295.
  • 2
    The Stroke Association. R11 stroke statistics resource sheet, 2006. Available from: http://www.stroke.org.uk/document.rm?id=877 [accessed on 12 April 2010].
  • 3
    Healy B, DeGruttola V. Hidden Markov models for settings with interval censored transition times and uncertain time origin: application to HIV genetic analyses. Biostatistics 2007; 8(2):438452.
  • 4
    Andersen PK, Esbjerg S, Sørensen TIA. Multi-state models for bleeding episodes and mortality in liver cirrhosis. Statistics in Medicine 2000; 19:587599.
  • 5
    Barrett JK, Siannis F, Farewell VT. A semi-competing risks model for data with interval-censoring and informative observation: an application to the MRC cognitive function and ageing study. Statistics in Medicine 2010; 30(1):110.
  • 6
    Siannis F, Farewell VT, Head J. A multi-state model for joint modelling of terminal and non-terminal events with application to Whitehall II. Statistics in Medicine 2007; 26:426442.
  • 7
    Van den Hout A, Matthews FE. Estimating stroke-free and total life expectancy in the presence of non-ignorable missing values. Journal of the Royal Statistical Society: Series A 2010; 173(2):331349.
  • 8
    Lindsey JC, Ryan LM. A three-state multiplicative model for rodent tumorigenicity experiments. Journal of the Royal Statistical Society: Series C 1993; 42(2):283300.
  • 9
    Putter H, Van der Hage J, De Bock GH, Elgalta R, Van de Velde CJH. Estimation and prediction in a multi-state model for breast cancer. Biometrical Journal 2006; 48(3):366380.
  • 10
    Putter H, Fiocco M, Geskus RB. Tutorial in biostatistics: competing risks and multi-state models. Statistics in Medicine 2007; 26:23892430.
  • 11
    Norris JR. Markov Chains, Cambridge Series in Statistical and Probabilistic Mathematics. Cambridge University Press: Cambridge, UK, 1997.
  • 12
    Weiss GH, Zelen M. A semi-Markov model for clinical trials. Journal of Applied Probability 1965; 2(2):269285.
  • 13
    Commenges D. Multi-state models in epidemiology. Lifetime Data Analysis 1999; 5:315327.
  • 14
    Faddy MJ. A note on the general time-dependent stochastic compartmental model. Biometrics 1976; 32:443448.
  • 15
    Van den Hout A, Matthews FE. A piecewise-constant Markov model and the effects of study design on the estimation of life expectancies in health and ill health. Statistical Methods in Medical Research 2009; 18:145162.
  • 16
    Nelson WB. Applied Life Data Analysis, Wiley Series in Probability and Statistics. Wiley: Hoboken, New Jersey, USA, 2004.
  • 17
    Collett D. Modelling Survival Data in Medical Research, 2nd ed. Chapman and Hall: Boca Raton, Florida, USA, 2009.
  • 18
    Aalen OO, Borgan Ø, Gjessing HK. Survival and Event History Analysis. Springer: Baltimore, Maryland, USA, 2010.
  • 19
    Cain KC, Harlow SD, Little RJ, Nan B, Yosef M, Taffe JR, Elliott MR. Bias due to left-truncation and left-censoring in longitudinal studies of developmental and disease processes. American Journal of Epidemiology 2011; 173(9):10781084. DOI: 10.1093/aje/kwq481.
  • 20
    Cox DR, Commenges D, Davison AC, Solomon P, Wilson S. The Oxford Dictionary of Statistical Terms. Oxford University Press: New York, USA, 2010.
  • 21
    Kay R. A Markov model for analysing cancer markers and disease states in survival studies. Biometrics 1986; 42:855865.
  • 22
    Foucher Y, Giral M, Jean-Paul S, Daurès JP. A semi-Markov model for multistate and interval-censored data with multiple terminal events. Application in renal transplantation. Statistics in Medicine 2007; 26:53815393.
  • 23
    McLachlan GJ, Krishnan T. The EM Algorithm and Extensions, 2nd ed., Series in Probability and Statistics. Wiley: Hoboken, New Jersey, USA, 2008.
  • 24
    Dennis MS, Burn JP, Sandercock PA, Bamford JM, Wade DT, Warlow CP. Long-term survival after first-ever stroke: the Oxfordshire Community Stroke Project. Stroke 1993; 24(6):796800.
  • 25
    Brayne C, McCracken C, Matthews FE. Cohort profile: the Medical Research Council Cognitive Function and Ageing Study (CFAS). International Journal of Epidemiology 2006; 35:11401145.
  • 26
    McDougall FA, Kvaal K, Matthews FE, Paykel E, Jones PB, Dewey ME, Brayne C. Prevalence of depression in older people in England and Wales: the MRC CFA Study. Psychological Medicine 2007; 37(12):17871795.
  • 27
    Medical Research Council Cognitive Function and Ageing Study (MRC CFAS) and Resource Implications Study (RIS MRC CFAS). Writing committee: Melzer D, McWilliams B, Brayne C, Johnson T, Bond J. Profile of disability in elderly people: estimates from a longitudinal population study. British Medical Journal 1999; 318(7191):11081111.
  • 28
    Taylor T, Lader D, Bryant A, Keyse L, McDuff TJ. Smoking-related behaviour and attitudes. A report on research using the National Statistics Omnibus Survey produced on behalf of the Department of Health and the Information Centre for Health and Social Care. Office for National Statistics, 2005. (Available from: http://www.statistics.gov.uk/downloads/theme_health/Smoking2005.pdf) [accessed on 4 December 2010].
  • 29
    Camarda CG, Eilers PH, Gampe J. Modelling general patterns of digit preference. Statistical Modelling 2008; 8(4):385401.
  • 30
    Office for National Statistics. Key health statistics from general practice, 1998. (Available from: http://www.statistics.gov.uk/downloads/theme_health/key_Health_Stats_1998.pdf) [accessed on 8 April 2010].
  • 31
    Klein J, Moeschberger M. Survival Analysis: Techniques for Censored and Truncated Data, 2nd ed. Springer: Baltimore, Maryland, USA, 2003.
  • 32
    Stata Corporation. STATA Manual, 11th edn. STATA/SE: College Station, Texas, USA, 2009.
  • 33
    Davison AC, Hinkley DV. Bootstrap Methods and Their Application, 9th ed., Cambridge Series in Statistical and Probabilistic Mathematics, Cambridge University Press: Cambridge, UK, 2007.
  • 34
    Jackson C. Multi-state models for panel data: the msm package for R. Journal of Statistical Software 2011; 38(8):128.
  • 35
    Atkinson KE. An Introduction to Numerical Analysis, 2nd ed. John Wiley & Sons: Hoboken, New Jersey, USA, 1989.
  • 36
    Broyden CG. The convergence of a class of double-rank minimization algorithms. Journal of the Institute of Mathematics and Its Applications 1970; 6:7690.
  • 37
    Fletcher R. A new approach to variable metric algorithms. Computer Journal 1970; 13:317322.
  • 38
    Goldfarb D. A family of variable metric updates derived by variational means. Mathematical and Computer Modelling 1970; 24:2326.
  • 39
    Shanno DF. Conditioning of quasi-Newton methods for function minimization. Mathematical and Computer Modelling 1970; 24:647656.
  • 40
    Shanno DF, Kettler PC. Optimal conditioning of quasi-Newton methods. Mathematical and Computer Modelling 1970; 24:657664.
  • 41
    Box GEP, Cox DR. An analysis of transformations. Journal of the Royal Statistical Society: Series B 1964; 26(2):211252.
  • 42
    Whisnant JP, Fitzgibbons JP, Kurland LT, Sayre GP. Natural history of stroke in Rochester, Minnesota, 1945 through 1954. Stroke 1971; 2:1122.
  • 43
    Matsumoto N, Whisnant JP, Kunand LT, Okazaki H. Natural history of stroke in Rochester, Minnesota, 1955 through 1969: an extension of a previous study, 1945 through 1954. Stroke 1973; 4:2029.
  • 44
    Laditka SB, Wolf DA. New methods for analyzing active life expectancy. Journal of Aging and Health 1998; 10:214241.
  • 45
    Land KC, Guralnik JM, Blazer DG. Estimating increment-decrement life tables with multiple covariates from panel data: the case of active life expectancy. Demography 1994; 31:297319.
  • 46
    Ellwood DT, Kane TJ. The American Way of Ageing: An Event History Analysis. University of Chicago Press: Chicago, 1990.
  • 47
    Wiener JM, Illston LH, Hanley RJ. Sharing the Burden: Strategies for Public and Private Long-term Care Insurance. Brookings Institution: Washington, DC.
  • 48
    Titman AC, Sharples LD. Model diagnostics for multi-state models. Statistical Methods in Medical Research 2009; 19:621651.