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Statistical Analysis of Event Times

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.

Jacobo de Una Alvarez, University of Vigo, Spain.
MarĂ­a del Carmen Pardo Llorente, University of Madrid, Spain.
  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. Yi-Hau Chen, Academia Sinica, Taiwan.
  7. Yafeng Cheng, Medical Research Council, Biostatistical unit, United Kingdom.
  8. Sy Han Chiou, University of Texas at Dallas, United States.
  9. Ton Coolen, Kings College London, United Kingdom.
  10. Giuliana Cortese, University of Padua, Italy.
  11. Vincent Couallier, University of Bordeaux, France.
  12. Jean-Yves Dauxois, INSA-IMT Toulouse, France.
  13. Jacobo de Una-Alvarez, University of Vigo, Spain.
  14. Liesbeth de Wreede, LUMC, Netherlands.
  15. Polychronis Economou, University of Patras, Greece.
  16. Takeshi Emura, National Central University, Taiwan.
  17. Takeshi Emura, National Central University, Taiwan.
  18. Agathe Guilloux, Universite Pierre et Marie Curie, France.
  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. Niels Keiding, University of Copenhagen, Denmark.
  25. Ruwanthi Kolamunnage-Dona, University of Liverpool, United Kingdom.
  26. Yi Li, University of Michigan, United States.
  27. Bowen Li, Academia Sinica, Taiwan.
  28. Jeffrey Longmate, City of Hope, United States.
  29. Francisco Louzada, University of Sao Paulo, Brazil.
  30. Luis Machado, University of Minho, Portugal.
  31. Micha Mandel, The Hebrew University of Jerusalem, Israel.
  32. Rui Martins, Egas Moniz Health School, Portugal.
  33. Christos T Nakas, University of Bern, Switzerland.
  34. Hon Keung Tony Ng, Southern Methodist University, United States.
  35. Maria del Carmen Pardo, Complutense University of Madrid, Spain.
  36. Hein Putter, Leiden University Medical Center, Netherlands.
  37. Lihong Qi, University of California Davis, United States.
  38. Lianfen Qian, Florida Atlantic University, United States.
  39. Emmanuel Remy, EDF RD, France.
  40. Virginie Rondeau, University of Bordeaux INSERM, France.
  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. Rafael Weissbach, Univerisity of Rostock, Germany.
  47. Jon A Wellner, University of Washington, United States.
  48. Liming Xiang, Nanyang Technological University, Singapore.
  49. Min Xie, City Univ of Hong Kong, Hong Kong.
  50. Mariangela Zenga, Universita degli Studi di Milano-Bicocca -DISMEQ, Italy.