98,39 €
Advanced Bayesian Methods for Medical Test Accuracy
Advanced Bayesian Methods for Medical Test Accuracy
  • Išparduota
Advanced Bayesian Methods for Medical Test Accuracy
Advanced Bayesian Methods for Medical Test Accuracy
El. knyga:
98,39 €
Useful in many areas of medicine and biology, Bayesian methods are particularly attractive tools for the design of clinical trials and diagnostic tests, which are based on established information, usually from related previous studies. Advanced Bayesian Methods for Medical Test Accuracy begins with a review of the usual measures such as specificity

Advanced Bayesian Methods for Medical Test Accuracy (el. knyga) (skaityta knyga) | knygos.lt

Atsiliepimai

Įvertinimų nėra.
Įvertink ir tu! Visi atsiliepimai

Formatai:

98,39 € El. knyga

Aprašymas

Useful in many areas of medicine and biology, Bayesian methods are particularly attractive tools for the design of clinical trials and diagnostic tests, which are based on established information, usually from related previous studies. Advanced Bayesian Methods for Medical Test Accuracy begins with a review of the usual measures such as specificity

98,39 €
Prisijunkite ir už šią prekę
gausite 0,98 Knygų Eurų! ?

Elektroninė knyga:
Atsiuntimas po užsakymo akimirksniu! Skirta skaitymui tik kompiuteryje, planšetėje ar kitame elektroniniame įrenginyje.

Kaip skaityti el. knygas ACSM formatu?

Mažiausia kaina per 30 dienų: 98,39 €

Mažiausia kaina užfiksuota: Kaina nesikeitė


Useful in many areas of medicine and biology, Bayesian methods are particularly attractive tools for the design of clinical trials and diagnostic tests, which are based on established information, usually from related previous studies. Advanced Bayesian Methods for Medical Test Accuracy begins with a review of the usual measures such as specificity

Atsiliepimai

  • Atsiliepimų nėra
0 pirkėjai įvertino šią prekę.
5
0%
4
0%
3
0%
2
0%
1
0%
(rodomas nebus)
Knygos.lt komentarų taisyklės
[{"option":"222","probability":1,"style":{"backgroundColor":"#ffffff"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba631ba76d1782294065.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"221","probability":1.3,"style":{"backgroundColor":"#e1032e"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba61ea9f381782294046.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"220","probability":1.6,"style":{"backgroundColor":"#ffffff"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba60167d251782294017.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"219","probability":1.5,"style":{"backgroundColor":"#e2022e"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba5ea1c47d1782293994.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"218","probability":1.5,"style":{"backgroundColor":"#ffffff"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba5d38b4a21782293971.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"217","probability":1.6,"style":{"backgroundColor":"#e3022e"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba5b981b7a1782293945.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"216","probability":1.4,"style":{"backgroundColor":"#ffffff"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba58b535551782293899.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}},{"option":"215","probability":0.1,"style":{"backgroundColor":"#ffe01a"},"image":{"uri":"\/uploads\/images\/wheel_of_fortune\/6a3ba53a6496f1782293818.png","sizeMultiplier":0.6,"landscape":true,"offsetX":-50}}]