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Lifetime Data Analysis

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28-08-2019 | Editorial

Special issue dedicated to Odd O. Aalen

Published in: Lifetime Data Analysis | Issue 4/2019

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Odd O. Aalen celebrated his 70th birthday May 6th, 2017. In October the same year, a two-day symposium took place at the University of Oslo to celebrate Odd’s many landmark contributions within survival and event history analysis, counting process theory, frailty modeling and causality. The speakers at the symposium were invited to contribute to this special issue of Lifetime Data Analysis, and we would like to thank them for their interesting contributions within areas of biostatistics that have been central to Odd’s research. We are also grateful to Editor-in-Chief Mei-Ling Ting Lee for giving us the privilege to serve as Guest Editors for this issue. …

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Aalen OO (1978) Nonparametric inference for a family of counting processes. Ann Stat 6:701–726MathSciNetCrossRef

Aalen OO (1980) A model for non-parametic regression analysis of life times. In: Klonecki W, Kozek A, Rosinski J (eds) Mathematical statistics and probability theory, Lecture Notes in Statistics, vol 2. Springer, New York, pp 1–25CrossRef

Aalen OO (1987a) Dynamic modelling and causality. Scand Actuar J 1987:177–190MathSciNetCrossRef

Aalen OO (1987b) Two examples of modelling heterogeneity in survival analysis. Scand J Stat 14:19–25

Aalen OO (1988) Heterogeneity in survival analysis. Stat Med 7:1121–1137CrossRef

Aalen OO (1989) A linear regression model for the analysis of life times. Stat Med 8:907–925CrossRef

Aalen OO (1995) Phase type distributions in survival analysis. Scand J Stat 22:447–463MATH

Aalen OO, Gjessing HK (2001) Understanding the shape of the hazard rate: a process point of view (with discussion). Stat Sci 16:1–22MATH

Aalen OO, Gjessing HK (2004) Survival models based on the Ornstein–Uhlenbeck process. Lifetime Data Anal 10:407–423MathSciNetCrossRef

Aalen OO, Johansen S (1978) An empirical transition matrix for nonhomogeneous Markov chains based on censored observations. Scand J Stat 5:141–150MATH

Aalen OO, Tretli S (1999) Analyzing incidence of testis cancer by means of a frailty model. Cancer Causes Control 10:285–292CrossRef

Aalen OO, Borgan Ø, Keiding N, Thormann J (1980) Interaction between life history events: nonparametric analysis of prospective and retrospective data in the presence of censoring. Scand J Stat 7:161–171MathSciNetMATH

Aalen OO, Farewell VT, De Angelis D, Day NE, Gill ON (1997) A Markov model for HIV disease progression including the effect of HIV diagnosis and treatment: application to AIDS prediction in England and Wales. Stat Med 16:2191–2210CrossRef

Aalen OO, Borgan Ø, Gjessing HK (2008) Survival and event history analysis. A process point of view. Springer, New YorkCrossRef

Aalen OO, Andersen PK, Borgan Ø, Gill RD, Keiding N (2009) History of applications of martingales in survival analysis. Journal Électronique d’Histoire des Probabililtés et de la Statistique 5:1–28MathSciNetMATH

Aalen OO, Røysland K, Gran JM, Ledergerber B (2012) Causality, mediation and time: a dynamic viewpoint. J R Stat Soc Ser A 175:831–861MathSciNetCrossRef

Aalen OO, Stensrud MJ, Didelez V, Daniel R, Røysland K, Strohmaier S (2019) Time-dependent mediators in survival analysis: modeling direct and indirect effects with the additive hazards model. Biometrical J. https://doi.org/10.1002/bimj.201800263

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Andersen PK, Borgan Ø, Gill RD, Keiding N (1982) Linear non-parametric tests for comparison of counting processes, with application to censored survival data (with discussion). Int Stat Rev 50:219–258 Amendment 52:225CrossRef

Andersen PK, Borgan Ø, Gill RD, Keiding N (1993) Statistical models based on counting processes. Springer, New YorkCrossRef

Brizzi F, Birrell PJ, Plummer MT, Kirwan P, Brown AE, Delpech VC, Gill ON, De Angelis D (2019) Extending Bayesian back-calculation to estimate age and time specific HIV incidence. Lifetime Data Anal. https://doi.org/10.1007/s10985-019-09465-1

Didelez V (2008) Graphical models for marked point processes based on local independence. J R Stat Soc Ser B 70:245–264MathSciNetCrossRef

Didelez V (2019) Defining causal mediation with a longitudinal mediator and a survival outcome. Lifetime Data Anal . https://doi.org/10.1007/s10985-018-9449-0

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Fosen J, Ferkingstad E, Borgan Ø, Aalen OO (2006) Dynamic path analysis–a new approach to analyzing time-dependent covariates. Lifetime Data Anal 12:143–167MathSciNetCrossRef

Gjessing HK, Aalen OO, Hjort NL (2003) Frailty models based on Lévy processes. Adv Appl Probab 35:532–550MathSciNetCrossRef

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Hougaard P (1984) Life table methods for heterogeneous populations: distributions describing the heterogeneity. Biometrika 71:75–83MathSciNetCrossRef

Hougaard P (1986) Survival models for heterogeneous populations derived from stable distributions. Biometrika 73:387–396 (Correction 5:395)MathSciNetCrossRef

McKeague IW (1997) Introduction to Aalen (1978): Nonparametric inference for a family of counting processes. In: Kotz S, Johnson NL (eds) Breakthroughs in statistics, vol III. Springer, New York, pp 347–353CrossRef

Moger TA, Aalen OO, Heimdal K, Gjessing HK (2004) Analysis of testicular cancer data using a frailty model with familial dependence. Stat Med 23:617–632CrossRef

Schweder T (1970) Composable Markov processes. J Appl Probab 7:400–410MathSciNetCrossRef

Sweeting MJ, De Angelis D, Aalen OO (2005) Bayesian back-calculation using a multi-state model with application to HIV. Stat Med 24:3991–4007MathSciNetCrossRef

Vaupel JW, Manton KG, Stallard E (1979) The impact of heterogeneity in individual frailty on the dynamics of mortality. Demography 16:439–454CrossRef

Title: Special issue dedicated to Odd O. Aalen
Publication date: 28-08-2019
Published in: Lifetime Data Analysis / Issue 4/2019
Print ISSN: 1380-7870
Electronic ISSN: 1572-9249
DOI: https://doi.org/10.1007/s10985-019-09483-z

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