Survival analysis / H.J. Vaman, Prabhanjan Narayanachar Tattar

I Classical Survival Analysis. 1. Lifetime Data and Concepts. 2 Core Concepts. 3. Inference - Estimation. 4. Inference - Statistical Tests. 5. Regression Models. 6. Further Topics in Regression Models. 7. Model Selection.II Machine Learning Methods. Why Machine Learning? 8. Survival Trees. 9. Ensemble Survival Analysis. 10. Neural Network Survival Analysis. 11. Complementary Machine Learning Techniques. Bibliography. Index..

Medienart:

E-Book

Erscheinungsjahr:

2023

Erschienen:

Boca Raton, FL: CRC Press, ; 2023

Ausgabe:

First edition.

Sprache:

Englisch

Beteiligte Personen:

Vaman, H. J. [VerfasserIn]
Tattar, Prabhanjan, 1979- [VerfasserIn]

Links:

www.taylorfrancis.com [lizenzpflichtig]

ISBN:

978-1-003-30697-9

1-003-30697-7

978-1-000-62407-6

1-000-62407-2

978-1-000-62400-7

1-000-62400-5

Themen:

COMPUTERS / Machine Theory
Clinical trials
MATHEMATICS / Probability & Statistics / General
Survival analysis (Biometry)

Umfang:

1 online resource (xii, 284 pages).

doi:

10.1201/9781003306979

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

183261297X