GraphPad Prism is a powerful combination of basic biostatistics, curve fitting and scientific graphing in one comprehensive program. More than 100,000 scientists in over 100 countries rely on Prism to analyze, graph and present their scientific data.What makes Prism the program of choice for many of the world’s leading universities, medical centers, research institutes and pharmaceutical companies? Prism certainly has all the capabilities you would expect from a top notch scientific graphics program, but what makes Prism truly unique is not what it does, but how it does it. Designed for the practical scientist, Prism does not expect you to be a statistician. It guides you through each analysis - giving you as much help as you need - and tracks and organizes your work like no other program available. You can concentrate on your data, not fight with your software. (Source:

References in zbMATH (referenced in 17 articles , 1 standard article )

Showing results 1 to 17 of 17.
Sorted by year (citations)

  1. Allen, Edward J.: An SDE model for surface roughness progression (2020)
  2. Osuolale, Kazeem Adewale: Modelling and analysis of computer experiments using a simple pendulum model (2020)
  3. Banks, H. T.; Banks, J. E.; Rosenheim, Jay; Tillman, Kristen: Modelling populations of \textitLygushesperus on cotton fields in the San Joaquin Valley of California: the importance of statistical and mathematical model choice (2017)
  4. Destrade, Michel; Saccomandi, Giuseppe; Sgura, Ivonne: Methodical fitting for mathematical models of rubber-like materials (2017)
  5. Rockenfeller, R.; Günther, M.: Hill equation and Hatze’s muscle activation dynamics complement each other: enhanced pharmacological and physiological interpretability of modelled activity-pCa curves (2017)
  6. Errasti Díez, Verónica; Godbole, Rohini M.; Sinha, Aninda: Improvements to the froissart bound from AdS/CFT (2015)
  7. Phillips, Gemma M. A.; Shorten, Paul R.; Wake, Graeme C.; Guan, Jian: Modeling the effect of insulin-like growth factor-1 on human cell growth (2015)
  8. Hingerl, Ferdinand F.; Kosakowski, Georg; Wagner, Thomas; Kulik, Dmitrii A.; Driesner, Thomas: GEMSFIT: a generic fitting tool for geochemical activity models (2014)
  9. Fidalgo, J. López; Rodríguez, I. M. Ortiz; Wong, Weng Kee: Design issues for population growth models (2011)
  10. Vieira, Ricardo Augusto Mendonça; Tedeschi, Luis Orlindo; Cannas, Antonello: A generalized compartmental model to estimate the fibre mass in the ruminoreticulum: I. Estimating parameters of digestion (2008)
  11. Cabello, T.; Gámez, M.; Varga, Z.: An improvement of the Holling type III functional response in entomophagous species model (2007)
  12. Esposti, Roberto; Cavallari, Paolo; Baldissera, Fausto: Feedback control of the limbs position during voluntary rhythmic oscillation (2007)
  13. Salazar Celis, Oliver; Cuyt, Annie; Verdonk, Brigitte: Rational approximation of vertical segments (2007)
  14. Bacaër, Nicolas; Abdurahman, Xamxinur; Ye, Jianli: Modeling the HIV/AIDS epidemic among injecting drug users and sex workers in Kunming, China (2006)
  15. Puttasubbappa, Vishwas S.; Perros, Harry G.: Performance analysis of limited-range wavelength conversion in an OBS switch (2006) ioport
  16. Marée, Athanasius F. M.; Komba, Mitsuhiro; Dyck, Cheryl; Łabęcki, Marek; Finegood, Diane T.; Edelstein-Keshet, Leah: Quantifying macrophage defects in type 1 diabetes (2005)
  17. Motulsky, Harvey; Christopoulos, Arthur: Fitting models to biological data using linear and nonlinear regression. A practical guide to curve fitting. (2004)