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1

Cox, D. R. Analysis of survival data. London: Chapman and Hall, 1990.

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2

Hougaard, Philip. Analysis of Multivariate Survival Data. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-1304-8.

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3

Elandt-Johnson, Regina C., and Norman L. Johnson. Survival Models and Data Analysis. Hoboken, NJ, USA: John Wiley & Sons, Inc., 1999. http://dx.doi.org/10.1002/9781119011040.

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4

Elandt-Johnson, Regina C. Survival models and data analysis. New York: Wiley, 1999.

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5

Huang, Tzu Jung. Marginal Screening on Survival Data. [New York, N.Y.?]: [publisher not identified], 2017.

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6

Lee, Elisa T., and John Wenyu Wang. Statistical Methods for Survival Data Analysis. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2003. http://dx.doi.org/10.1002/0471458546.

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7

Hanagal, David D. Modeling Survival Data Using Frailty Models. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1181-3.

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8

Collett, D. Modelling Survival Data in Medical Research. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-3115-3.

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9

Wenyu, Wang John, ed. Statistical methods for survival data analysis. 3rd ed. New York: J. Wiley, 2003.

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10

Hanagal, David D. Modeling survival data using frailty models. Boca Raton, FL: Chapman & Hall/CRC, 2011.

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11

Murphy, Roberta. Survival analysis of nurse manpower data. [S.l: The Author], 1997.

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12

Emura, Takeshi, and Yi-Hau Chen. Analysis of Survival Data with Dependent Censoring. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7164-5.

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13

Therneau, Terry M., and Patricia M. Grambsch. Modeling Survival Data: Extending the Cox Model. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4757-3294-8.

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14

L, Jones Stephanie, and Geupel Geoffrey R, eds. Beyond Mayfield: Measurements of nest-survival data. Camarillo, CA: Cooper Ornithological Society, 2007.

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15

L, Moeschberger Melvin, ed. Survival analysis: Techniques for censored and truncated data. New York: Springer, 1997.

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16

L, Moeschberger Melvin, ed. Survival analysis: Techniques for censored and truncated data. 2nd ed. New York: Springer, 2003.

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17

Norris, Mark. Survival in the software jungle. Boston: Artech House, 1995.

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18

Ha, Il Do, Jong-Hyeon Jeong, and Youngjo Lee. Statistical Modelling of Survival Data with Random Effects. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6557-6.

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19

Jewell, Nicholas P., Alan C. Kimber, Mei-Ling Ting Lee, and G. A. Whitmore, eds. Lifetime Data: Models in Reliability and Survival Analysis. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-5654-8.

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20

Sun, Jianguo, and Ding-Geng Chen, eds. Emerging Topics in Modeling Interval-Censored Survival Data. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12366-5.

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21

1952-, Jewell Nicholas P., ed. Lifetime data: Models in reliability and survival analysis. Dordrecht: Kluwer Academic, 1996.

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22

Data Bank: Survival. Top That Publishing PLC, 2002.

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23

Cox, D. R. Analysis of Survival Data. Taylor & Francis Group, 2018.

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24

Multi-State Survival Data. Taylor & Francis Group, 2023.

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25

Cox, D. R. Analysis of Survival Data. Taylor & Francis Group, 2018.

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26

SEA. Survival Moels & Data Analaysis. John Wiley & Sons Inc, 1994.

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27

Cox, D. R. Analysis of Survival Data. Taylor & Francis Group, 2018.

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28

Cox, D. R. Analysis of Survival Data. Taylor & Francis Group, 2018.

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29

Johnson, Norman L., and Regina C. Elandt-Johnson. Survival Models and Data Analysis. Wiley & Sons, Incorporated, John, 2014.

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30

Johnson, Norman L., and Regina C. Elandt-Johnson. Survival Models and Data Analysis. Wiley & Sons, Incorporated, John, 2014.

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31

Hougaard, Philip. Analysis of Multivariate Survival Data. Springer New York, 2012.

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32

Hougaard, Philip. Analysis of Multivariate Survival Data. Springer, 2001.

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33

Johnson, Norman L., and Regina C. Elandt-Johnson. Survival Models and Data Analysis. Wiley & Sons, Limited, John, 2014.

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34

Hougaard, Philip. Analysis of Multivariate Survival Data. Springer, 2012.

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35

Analysis of multivariate survival data. New York: Springer, 2000.

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36

Jarman, Kristin H. Drowning in Data: A Modern Data Analyst's Survival Guide. Wiley & Sons, Incorporated, John, 2017.

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37

J, Smith Peter. Analysis of Failure and Survival Data. Taylor & Francis Group, 2017.

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38

Collett, David. Modelling Survival Data in Medical Research. Chapman and Hall/CRC, 1993. http://dx.doi.org/10.1201/9780429258374.

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39

Mann, David. Modelling Survival Data in Medical Research. Chapman and Hall/CRC, 2003. http://dx.doi.org/10.1201/9780429258473.

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40

Collett, David. Modelling Survival Data in Medical Research. Chapman and Hall/CRC, 1993. http://dx.doi.org/10.4324/9780203010297.

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41

Smith, Peter J. Analysis of Failure and Survival Data. Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/9781315273150.

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42

Collett, David. Modelling Survival Data in Medical Research. Chapman and Hall/CRC, 2015. http://dx.doi.org/10.1201/b18041.

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43

Bogaerts, Kris, Arnošt Komárek, and Emmanuel Lesaffre. Survival Analysis with Interval-Censored Data. Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/9781315116945.

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44

Dynamic Regression Models for Survival Data. New York, NY: Springer New York, 2006. http://dx.doi.org/10.1007/0-387-33960-4.

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45

Lee, Elisa T., and John Wenyu Wang. Statistical Methods for Survival Data Analysis. Wiley & Sons, Incorporated, John, 2013.

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46

Hanagal, David D. Frailty Models for Survival Data Analysis. Taylor & Francis Group, 2010.

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47

Statistical methods for survival data analysis. 2nd ed. New York: Wiley, 1992.

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48

Modelling Survival Data in Medical Research. Taylor & Francis Group, 2023.

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49

Modelling survival data in medical research. 2nd ed. Boca Raton, Fla: Chapman & Hall/CRC, 2003.

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50

Wang, John, and Elisa T. Lee. Statistical Methods for Survival Data Analysis. Wiley & Sons, Incorporated, John, 2003.

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