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Survival Analysis

Analysis of event times (also referred to as survival analysis) deals with data representing the time to a well-defined event. These data arise in engineering, economy, reliability, public health, biomedicine and other areas. One distinguishing feature of survival analysis is that it incorporates censored, truncated, and length-biased data. Another feature is the existence of time-dependent covariates. The main goals are to estimate the distribution of time-to-event for a group of individuals, to compare time-to-event among two or more groups, and to assess the relationship of covariates to event times. In multivariate survival analysis, one goal is the estimation of a multivariate distribution under censoring and/or truncation. In this setting, multi-state models are often used to represent the individual's progress along time; important functions to estimate are the cause-specific hazard rate and distribution functions, the intensity functions, and the transition probabilities.

Eric Beutner, VU Amsterdam, Netherlands.
Jianguo Sun, University of Missouri, USA.
  1. Akim Adekpedjou, Missouri University of Science and Technology, United States.
  2. Federico Ambrogi, University of Milan, Italy.
  3. Jan Beyersmann, Ulm University, Germany.
  4. Laurent Bordes, University of Pau, France.
  5. Roel Braekers, Hasselt University, Belgium.
  6. Yafeng Cheng, MRC Biostatistics Unit, United Kingdom.
  7. Sy Han Chiou, University of Texas at Dallas, United States.
  8. Giuliana Cortese, University of Padua, Italy.
  9. Vincent Couallier, University of Bordeaux, France.
  10. Jean-Yves Dauxois, INSA-IMT Toulouse, France.
  11. Jacobo de Una-Alvarez, University of Vigo, Spain.
  12. Liesbeth de Wreede, LUMC, Netherlands.
  13. Polychronis Economou, University of Patras, Greece.
  14. Takeshi Emura, Chang Gung University, Taiwan.
  15. Abhik Ghosh, Indian Statistical Institute, India.
  16. Juste Goungounga, Université de Bourgogne, France.
  17. Agathe Guilloux, Universite Pierre et Marie Curie, France.
  18. Lisha Guo, South-Central University for Nationalities, China.
  19. Cedric Heuchenne, University of Liege, Belgium.
  20. Chiung-Yu Huang, Johns Hopkins University, United States.
  21. Maria Amalia Jacome Pumar, Universidade da Coruna, Spain.
  22. Arnold Janssen, Heinrich-Heine University Duesseldorf, Germany.
  23. Toshinari Kamakura, Chuo University, Japan.
  24. Christiana Kartsonaki, University of Oxford, United Kingdom.
  25. Niels Keiding, University of Copenhagen, Denmark.
  26. Ruwanthi Kolamunnage-Dona, University of Liverpool, United Kingdom.
  27. Yi Li, University of Michigan, United States.
  28. Bowen Li, Academia Sinica, Taiwan.
  29. Jeffrey Longmate, City of Hope, United States.
  30. Francisco Louzada, University of Sao Paulo, Brazil.
  31. Xiangmei Ma, Duke-NUS Medical School, Singapore.
  32. Luis Machado, University of Minho, Portugal.
  33. Micha Mandel, The Hebrew University of Jerusalem, Israel.
  34. Christos T Nakas, University of Bern, Switzerland.
  35. Maria del Carmen Pardo, Complutense University of Madrid, Spain.
  36. Nihan Potas, AHBV University, Turkey.
  37. Hein Putter, Leiden University Medical Center, Netherlands.
  38. Lihong Qi, University of California Davis, United States.
  39. Colin Ramsay, University of Nebraska-Lincoln, United States.
  40. Marialuisa Restaino, University of Salerno, Italy.
  41. Juan Eloy Ruiz-Castro, University of Granada, Spain.
  42. Ourida Sadki, USTHB, Algeria.
  43. Sarah Sarah Lemler, Ecole CentraleSupelec, France.
  44. Thomas Scheike, University of Copenhagen, Denmark.
  45. Ingrid Van Keilegom, KU Leuven, Belgium.
  46. Yujie Wei, Johns Hopkins University, United States.
  47. Rafael Weissbach, Univerisity of Rostock, Germany.
  48. Spencer Wheatley, ETH Zurich, Switzerland.
  49. Mariangela Zenga, Universita degli Studi di Milano-Bicocca -DISMEQ, Italy.