(Q51639203)

8 April 2018

title

Comparing the importance of prognostic factors in Cox and logistic regression using SAS. (English)

1 reference

8 April 2018

logistic regression model

main subject

1 reference

Georg Heinze

1

1 reference

8 April 2018

Michael Schemper

series ordinal

2

1 reference

8 April 2018

publication date

1 June 2003

1 reference

8 April 2018

Computer Methods and Programs in Biomedicine

published in

1 reference

8 April 2018

volume

71

1 reference

8 April 2018

issue

2

1 reference

8 April 2018

page(s)

155-163

1 reference

8 April 2018

Statistical methods for the identification and use of prognostic factors

cites work

1 reference

https://api.crossref.org/works/10.1016%2FS0169-2607%2802%2900077-9

7 January 2021

The relative importance of prognostic factors in studies of survival

1 reference

https://api.crossref.org/works/10.1016%2FS0169-2607%2802%2900077-9

7 January 2021

Measures of explained variation for survival data

1 reference

https://api.crossref.org/works/10.1016%2FS0169-2607%2802%2900077-9

7 January 2021

Explained variation in survival analysis.

1 reference

https://api.crossref.org/works/10.1016%2FS0169-2607%2802%2900077-9

7 January 2021

Predictive accuracy and explained variation in Cox regression

1 reference

https://api.crossref.org/works/10.1016%2FS0169-2607%2802%2900077-9

7 January 2021

Explained variation for logistic regression

1 reference

https://api.crossref.org/works/10.1016%2FS0169-2607%2802%2900077-9

7 January 2021

A solution to the problem of monotone likelihood in Cox regression.

1 reference

https://api.crossref.org/works/10.1016%2FS0169-2607%2802%2900077-9

7 January 2021

On the existence of maximum likelihood estimates in logistic regression models

1 reference

https://api.crossref.org/works/10.1016%2FS0169-2607%2802%2900077-9

7 January 2021

A solution to the problem of separation in logistic regression.

1 reference

https://api.crossref.org/works/10.1016%2FS0169-2607%2802%2900077-9

7 January 2021

On the bootstrap and monotone likelihood in the cox proportional hazards regression model

1 reference

https://api.crossref.org/works/10.1016%2FS0169-2607%2802%2900077-9

7 January 2021

Using regression models for prediction: shrinkage and regression to the mean

1 reference

https://api.crossref.org/works/10.1016%2FS0169-2607%2802%2900077-9

7 January 2021

Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up

1 reference

https://api.crossref.org/works/10.1016%2FS0169-2607%2802%2900077-9

7 January 2021

Nucleolar grading of breast cancer. Comparative studies on frequency and localization of nucleoli and histology, stage, hormonal receptor status and lectin histochemistry

1 reference

https://api.crossref.org/works/10.1016%2FS0169-2607%2802%2900077-9

7 January 2021

The importance of histologic grade in long-term prognosis of breast cancer: a study of 1,010 patients, uniformly treated at the Institut Gustave-Roussy

1 reference

https://api.crossref.org/works/10.1016%2FS0169-2607%2802%2900077-9

7 January 2021

A note on R2 measures for Poisson and logistic regression models when both models are applicable

1 reference

https://api.crossref.org/works/10.1016%2FS0169-2607%2802%2900077-9

7 January 2021

10.1016/S0169-2607(02)00077-9

Identifiers

DOI

1 reference

8 April 2018

DBLP publication ID

journals/cmpb/HeinzeS03

1 reference

DBLP Dataset 2021-01-02

28 January 2021

1 reference

8 April 2018