Journal articles on the topic 'Relative survival'

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1

DAMATO, B. "Relative survival." Acta Ophthalmologica 92 (August 20, 2014): 0. http://dx.doi.org/10.1111/j.1755-3768.2014.1622.x.

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2

Sasieni, Peter, and Adam R. Brentnall. "On standardized relative survival." Biometrics 73, no. 2 (August 23, 2016): 473–82. http://dx.doi.org/10.1111/biom.12578.

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3

Henson, Donald Earl, and Lynn A. Ries. "The relative survival rate." Cancer 76, no. 10 (November 15, 1995): 1687–88. http://dx.doi.org/10.1002/1097-0142(19951115)76:10<1687::aid-cncr2820761002>3.0.co;2-i.

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4

Gibberd, R. W., and T. Hakulinen. "A Relative Survival Analysis Package." American Statistician 42, no. 3 (August 1988): 230. http://dx.doi.org/10.2307/2685022.

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5

Perme, Maja Pohar, Janez Stare, and Jacques Estève. "On Estimation in Relative Survival." Biometrics 68, no. 1 (June 20, 2011): 113–20. http://dx.doi.org/10.1111/j.1541-0420.2011.01640.x.

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6

Dickman, Paul W., and Enzo Coviello. "Estimating and Modeling Relative Survival." Stata Journal: Promoting communications on statistics and Stata 15, no. 1 (April 2015): 186–215. http://dx.doi.org/10.1177/1536867x1501500112.

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7

Pohar, Maja, and Janez Stare. "Relative survival analysis in R." Computer Methods and Programs in Biomedicine 81, no. 3 (March 2006): 272–78. http://dx.doi.org/10.1016/j.cmpb.2006.01.004.

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8

Rebolj Kodre, Anamarija, and Maja Pohar Perme. "Informative censoring in relative survival." Statistics in Medicine 32, no. 27 (June 12, 2013): 4791–802. http://dx.doi.org/10.1002/sim.5877.

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9

Dickman, Paul W., Andy Sloggett, Michael Hills, and Timo Hakulinen. "Regression models for relative survival." Statistics in Medicine 23, no. 1 (2003): 51–64. http://dx.doi.org/10.1002/sim.1597.

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10

Huszti, Ella, Michal Abrahamowicz, Ahmadou Alioum, Christine Binquet, and Catherine Quantin. "Relative survival multistate Markov model." Statistics in Medicine 31, no. 3 (November 3, 2011): 269–86. http://dx.doi.org/10.1002/sim.4392.

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11

Sarfati, D., T. Blakely, and N. Pearce. "Measuring cancer survival in populations: relative survival vs cancer-specific survival." International Journal of Epidemiology 39, no. 2 (February 8, 2010): 598–610. http://dx.doi.org/10.1093/ije/dyp392.

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12

Hakulinen, Timo, Karri Seppä, and Paul C. Lambert. "Choosing the relative survival method for cancer survival estimation." European Journal of Cancer 47, no. 14 (September 2011): 2202–10. http://dx.doi.org/10.1016/j.ejca.2011.03.011.

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13

Stare, Janez, Robin Henderson, and Maja Pohar. "An individual measure of relative survival." Journal of the Royal Statistical Society: Series C (Applied Statistics) 54, no. 1 (January 2005): 115–26. http://dx.doi.org/10.1111/j.1467-9876.2005.00473.x.

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14

Gattellari, Melina, Chris Goumas, Frances Garden M. Biost, and John M. Worthington. "Relative Survival After Transient Ischaemic Attack." Stroke 43, no. 1 (January 2012): 79–85. http://dx.doi.org/10.1161/strokeaha.111.636233.

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15

Hakulinen, T., and L. Tenkanen. "Regression Analysis of Relative Survival Rates." Applied Statistics 36, no. 3 (1987): 309. http://dx.doi.org/10.2307/2347789.

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16

KIVELÄ, T. "Cumulative incidence analysis and relative survival." Acta Ophthalmologica 86 (September 4, 2008): 0. http://dx.doi.org/10.1111/j.1755-3768.2008.3243.x.

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17

Pohar, Maja, and Janez Stare. "Making relative survival analysis relatively easy." Computers in Biology and Medicine 37, no. 12 (December 2007): 1741–49. http://dx.doi.org/10.1016/j.compbiomed.2007.04.010.

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18

Smoll, Nicolas R., Oliver P. Gautschi, Ivan Radovanovic, Karl Schaller, and Damien C. Weber. "Incidence and relative survival of chordomas." Cancer 119, no. 11 (March 15, 2013): 2029–37. http://dx.doi.org/10.1002/cncr.28032.

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19

Price, Dionne L., and Amita K. Manatunga. "Modelling relative survival using transformation methods." Statistics in Medicine 23, no. 15 (July 19, 2004): 2463–77. http://dx.doi.org/10.1002/sim.1832.

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20

LeBlanc, Michael, and John Crowley. "Relative Risk Trees for Censored Survival Data." Biometrics 48, no. 2 (June 1992): 411. http://dx.doi.org/10.2307/2532300.

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21

Meyers, David G. "Relative survival benefits of risk factor modifications." American Journal of Cardiology 77, no. 4 (February 1996): 298–99. http://dx.doi.org/10.1016/s0002-9149(97)89397-6.

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22

Smoll, N. R., and B. Hamilton. "Incidence and relative survival of anaplastic astrocytomas." Neuro-Oncology 16, no. 10 (April 9, 2014): 1400–1407. http://dx.doi.org/10.1093/neuonc/nou053.

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23

Su, Chang, Giorgos Karakousis, Paul J. Zhang, and Harrison X. Bai. "Relative survival of patients with central neurocytoma." Journal of Clinical Neuroscience 55 (September 2018): 123–24. http://dx.doi.org/10.1016/j.jocn.2018.07.020.

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24

Martz, Karen L., John M. Krall, Gerald E. Hanks, and Miljenko Pilepich. "Relative survival rates applied to cancer trials." Controlled Clinical Trials 6, no. 3 (September 1985): 226. http://dx.doi.org/10.1016/0197-2456(85)90025-x.

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25

POLONIECKI, JAN, and MAREK MALIK. "Computing Survival and Relative Risk: Some Basics." Pacing and Clinical Electrophysiology 16, no. 8 (August 1993): 1742–45. http://dx.doi.org/10.1111/j.1540-8159.1993.tb01045.x.

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26

Kuss, Oliver, Thomas Blankenburg, and Johannes Haerting. "A Relative Survival Model for Clustered Responses." Biometrical Journal 50, no. 3 (June 2008): 408–18. http://dx.doi.org/10.1002/bimj.200710426.

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27

Jakobsen, Lasse Hjort, Martin Bøgsted, and Mark Clements. "Generalized parametric cure models for relative survival." Biometrical Journal 62, no. 4 (January 20, 2020): 989–1011. http://dx.doi.org/10.1002/bimj.201900056.

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28

Stare, Janez, Maja Pohar, and Robin Henderson. "Goodness of fit of relative survival models." Statistics in Medicine 24, no. 24 (2005): 3911–25. http://dx.doi.org/10.1002/sim.2414.

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29

Cortese, Giuliana, and Thomas H. Scheike. "Dynamic regression hazards models for relative survival." Statistics in Medicine 27, no. 18 (August 15, 2008): 3563–84. http://dx.doi.org/10.1002/sim.3242.

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30

Tan, Kay See, Takashi Eguchi, and Prasad Adusumilli. "MA03.08 Quantifying Survival in Early-Stage NSCLC: Implications of Relative Survival vs Cause-Specific Survival." Journal of Thoracic Oncology 12, no. 1 (January 2017): S355—S356. http://dx.doi.org/10.1016/j.jtho.2016.11.394.

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31

Goeman, J. J., S. Le Cessie, R. J. Baatenburg de Jong, and S. A. van de Geer. "Predicting survival using disease history: a model combining relative survival and frailty." Statistica Neerlandica 58, no. 1 (February 2004): 21–34. http://dx.doi.org/10.1111/j.1467-9574.2004.00244.x.

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32

Bright, Chloe J., Adam R. Brentnall, Kate Wooldrage, Jonathon Myles, Peter Sasieni, and Stephen W. Duffy. "Errors in determination of net survival: cause-specific and relative survival settings." British Journal of Cancer 122, no. 7 (February 10, 2020): 1094–101. http://dx.doi.org/10.1038/s41416-020-0739-4.

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33

Estève, J., E. Benhamou, M. Croasdale, and L. Raymond. "Relative survival and the estimation of net survival: Elements for further discussion." Statistics in Medicine 9, no. 5 (May 1990): 529–38. http://dx.doi.org/10.1002/sim.4780090506.

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34

Gillaizeau, Florence, Etienne Dantan, Magali Giral, and Yohann Foucher. "A multistate additive relative survival semi-Markov model." Statistical Methods in Medical Research 26, no. 4 (June 7, 2015): 1700–1711. http://dx.doi.org/10.1177/0962280215586456.

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Abstract:
Medical researchers are often interested to investigate the relationship between explicative variables and times-to-events such as disease progression or death. Such multiple times-to-events can be studied using multistate models. For chronic diseases, it may be relevant to consider semi-Markov multistate models because the transition intensities between two clinical states more likely depend on the time already spent in the current state than on the chronological time. When the cause of death for a patient is unavailable or not totally attributable to the disease, it is not possible to specifically study the associations with the excess mortality related to the disease. Relative survival analysis allows an estimate of the net survival in the hypothetical situation where the disease would be the only possible cause of death. In this paper, we propose a semi-Markov additive relative survival (SMRS) model that combines the multistate and the relative survival approaches. The usefulness of the SMRS model is illustrated by two applications with data from a French cohort of kidney transplant recipients. Using simulated data, we also highlight the effectiveness of the SMRS model: the results tend to those obtained if the different causes of death are known.
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35

Stack, J. P. "Relative Survival Potential of Propagules ofPhytophthora megaspermaf. sp.medicaginis." Phytopathology 75, no. 12 (1985): 1398. http://dx.doi.org/10.1094/phyto-75-1398.

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36

ABDELNOOR, M., S. NITTER-HAUGE, and S. TRETTLI. "Relative survival of patients after heart valve replacement." European Heart Journal 11, no. 1 (January 1990): 23–28. http://dx.doi.org/10.1093/oxfordjournals.eurheartj.a059586.

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37

Wright, J. D., L. Chen, C. Ananth, A. I. Tergas, J. Y. Hou, W. M. Burke, A. Neugut, and D. Hershman. "Secular trends in relative survival for ovarian cancer." Gynecologic Oncology 137 (April 2015): 112. http://dx.doi.org/10.1016/j.ygyno.2015.01.278.

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38

Kvidal, Per, Prof Reinhold Bergström, Lars-Gunnar Hörte, and Elisabeth Ståhle. "Observed and relative survival after aortic valve replacement." Journal of the American College of Cardiology 35, no. 3 (March 2000): 747–56. http://dx.doi.org/10.1016/s0735-1097(99)00584-7.

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39

Bolard, P., C. Quantin, J. Esteve, J. Faivre, and M. Abrahamowicz. "Modelling time-dependent hazard ratios in relative survival." Journal of Clinical Epidemiology 54, no. 10 (October 2001): 986–96. http://dx.doi.org/10.1016/s0895-4356(01)00363-8.

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40

Brenner, H. "On crude and age-adjusted relative survival rates." Journal of Clinical Epidemiology 56, no. 12 (December 2003): 1185–91. http://dx.doi.org/10.1016/s0895-4356(03)00209-9.

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41

Baldwin, L., R. Ware, B. Huang, T. Tucker, S. Goodrich, I. Podzielinski, C. DeSimone, F. Ueland, J. van Nagell, and L. Seamon. "Ten-year relative survival for epithelial ovarian cancer." Gynecologic Oncology 120 (March 2011): S34—S35. http://dx.doi.org/10.1016/j.ygyno.2010.12.085.

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42

Van Genechten, M., and M. Batstone. "The relative survival of different composite free flaps." British Journal of Oral and Maxillofacial Surgery 53, no. 10 (December 2015): e119. http://dx.doi.org/10.1016/j.bjoms.2015.08.229.

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43

Vercelli, M., A. Quaglia, C. Casella, S. Parodi, R. Capocaccia, and C. Martinez Garcia. "Relative survival in elderly cancer patients in Europe." European Journal of Cancer 34, no. 14 (December 1998): 2264–70. http://dx.doi.org/10.1016/s0959-8049(98)00325-6.

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44

Kasaeian, Amir, Alireza Mosavi-Jarrahi, Alireza Abadi, Mahmood Mahmoodi, Yadollah Mehrabi, Kazem Mohammad, Mohammad Reza Eshraghian, and Ali Zare. "Relative Survival of Breast Cancer Patients in Iran." Asian Pacific Journal of Cancer Prevention 16, no. 14 (September 2, 2015): 5853–58. http://dx.doi.org/10.7314/apjcp.2015.16.14.5853.

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45

Baldwin, Lauren A., Bin Huang, Rachel W. Miller, Thomas Tucker, Scott T. Goodrich, Iwona Podzielinski, Christopher P. DeSimone, Fred R. Ueland, John R. van Nagell, and Leigh G. Seamon. "Ten-Year Relative Survival for Epithelial Ovarian Cancer." Obstetrics & Gynecology 120, no. 3 (September 2012): 612–18. http://dx.doi.org/10.1097/aog.0b013e318264f794.

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46

Perme, M. P., R. Henderson, and J. Stare. "An approach to estimation in relative survival regression." Biostatistics 10, no. 1 (May 23, 2008): 136–46. http://dx.doi.org/10.1093/biostatistics/kxn021.

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47

Pavlič, Klemen, and Maja Pohar Perme. "Using pseudo-observations for estimation in relative survival." Biostatistics 20, no. 3 (March 13, 2018): 384–99. http://dx.doi.org/10.1093/biostatistics/kxy008.

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48

Hakulinen, Timo, and Kamal H. Abeywickrama. "A computer program package for relative survival analysis." Computer Programs in Biomedicine 19, no. 2-3 (January 1985): 197–207. http://dx.doi.org/10.1016/0010-468x(85)90011-x.

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49

Van Genechten, M., and M. Batstone. "The relative survival of different composite free flaps." International Journal of Oral and Maxillofacial Surgery 44 (October 2015): e156. http://dx.doi.org/10.1016/j.ijom.2015.08.838.

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50

Yu, Binbing, and Ram C. Tiwari. "Multiple imputation methods for modelling relative survival data." Statistics in Medicine 25, no. 17 (2006): 2946–55. http://dx.doi.org/10.1002/sim.2289.

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