(Q40568032)

21 September 2017

1 reference

title

Prognostic factors: rationale and methods of analysis and integration (English)

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21 September 2017

Michelino De Laurentiis

1 reference

ORCID Public Data File 2021

author name string

G M Clark

1

1 reference

21 September 2017

S G Hilsenbeck

2

1 reference

21 September 2017

P M Ravdin

3

1 reference

21 September 2017

M De Laurentiis

4

1 reference

21 September 2017

C K Osborne

5

1 reference

21 September 2017

language of work or name

English

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publication date

1 January 1994

1 reference

Breast Cancer Research and Treatment

21 September 2017

1 reference

21 September 2017

32

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21 September 2017

1

1 reference

21 September 2017

105-112

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https://scigraph.springernature.com/pub.10.1007/bf00666211

21 September 2017

0 references

cites work

Proportional hazards and recursive partitioning and amalgamation analyses of the Southwest Oncology Group node-positive adjuvant CMFVP breast cancer data base: a pilot study

1 reference

12 December 2020

A practical application of neural network analysis for predicting outcome of individual breast cancer patients

1 reference

12 December 2020

Stress response protein (srp-27) determination in primary human breast carcinomas: clinical, histologic, and prognostic correlations

1 reference

12 December 2020

Relative Risk Trees for Censored Survival Data

1 reference

12 December 2020

Survival analysis of censored data: neural network analysis detection of complex interactions between variables

1 reference

12 December 2020

Do we really need prognostic factors for breast cancer?

1 reference

12 December 2020

How to integrate steroid hormone receptor, flow cytometric, and other prognostic information in regard to primary breast cancer

1 reference

12 December 2020

A comparison of estimated proportional hazards models and regression trees.

1 reference

12 December 2020

A demonstration that breast cancer recurrence can be predicted by neural network analysis

1 reference

12 December 2020

A comparison of all-subset Cox and accelerated failure time models with Cox step-wise regression for node-positive breast cancer

1 reference

12 December 2020

Regression and recursive partition strategies in the analysis of medical survival data

1 reference

12 December 2020

Tree-structured survival analysis.

1 reference

12 December 2020

Why do so many prognostic factors fail to pan out?

1 reference

12 December 2020

Comparison of the Cox model and the regression tree procedure in analysing a randomized clinical trial.

1 reference

12 December 2020

Identifiers

DOI

10.1007/BF00666211

1 reference

Dimensions Publication ID

21 September 2017

0 references

1 reference