Joinpoint is statistical software for the analysis of trends using joinpoint models, that is, models like the figure below where several different lines are connected together at the ”joinpoints”. Cancer trends reported in NCI publications are calculated using the Joinpoint Regression Program to analyze rates calculated by the SEER*Stat software.

References in zbMATH (referenced in 17 articles )

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  1. Římalová, Veronika; Fišerová, Eva; Menafoglio, Alessandra; Pini, Alessia: Inference for spatial regression models with functional response using a permutational approach (2022)
  2. de La Fuente Canto, C.; Kalogiros, D. I.; Ptashnyk, M.; George, T. S.; Waugh, R.; Bengough, A. G.; Russell, J.; Dupuy, Lionel X.: Morphological and genetic characterisation of the root system architecture of selected barley recombinant chromosome substitution lines using an integrated phenotyping approach (2018)
  3. Maciak, Matúš: Testing shape constraints in Lasso regularized joinpoint regression (2017)
  4. Kim, Jeankyung; Kim, Hyune-Ju: Consistent model selection in segmented line regression (2016)
  5. Maciak, Matúš; Mizera, Ivan: Regularization techniques in joinpoint regression (2016)
  6. Muggeo, Vito M. R.: Testing with a nuisance parameter present only under the alternative: a score-based approach with application to segmented modelling (2016)
  7. Han, Sung Wan; Mesquita, Rickson C.; Busch, Theresa M.; Putt, Mary E.: A method for choosing the smoothing parameter in a semi-parametric model for detecting change-points in blood flow (2014)
  8. Kafle, Ram C.; Khanal, Netra; Tsokos, Chris P.: Bayesian age-stratified joinpoint regression model: an application to lung and brain cancer mortality (2014)
  9. Luo, Jun: A spatial scan statistic on trends (2014)
  10. Goodman, Melody S.; Li, Yi; Tiwari, Ram C.: Detecting multiple change points in piecewise constant hazard functions (2011)
  11. Martinez-Beneito, Miguel A.; García-Donato, Gonzalo; Salmerón, Diego: A Bayesian joinpoint regression model with an unknown number of break-points (2011)
  12. Kim, Hyune-Ju: Bounding the resampling risk for sequential Monte Carlo implementation of hypothesis tests (2010)
  13. Ghosh, Pulak; Basu, Sanjib; Tiwari, Ram C.: Bayesian analysis of cancer rates from SEER program using parametric and semiparametric joinpoint regression models (2009)
  14. Gill, Ryan; Rempala, Grzegorz A.; Czajkowski, Michal: Confidence estimation via the parametric bootstrap in logistic joinpoint regression (2009)
  15. Kim, Hyune-Ju; Yu, Binbing; Feuer, Eric J.: Inference in segmented line regression: a simulation study (2008)
  16. Kim, Jeankyung; Kim, Hyune-Ju: Asymptotic results in segmented multiple regression (2008)
  17. Yu, Binbing; Barrett, Michael J.; Kim, Hyune-Ju; Feuer, Eric J.: Estimating joinpoints in continuous time scale for multiple change-point models (2007)