How to develop a more accurate risk prediction model when there are few events. (Q35936040)

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:26264962%20AND%20SRC:MED&resulttype=core&format=json

22 February 2020

title

How to develop a more accurate risk prediction model when there are few events (English)

1 reference

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22 February 2020

3

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22 February 2020

author name string

Menelaos Pavlou

1

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22 February 2020

Gareth Ambler

2

1 reference

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22 February 2020

Oliver Guttmann

4

1 reference

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22 February 2020

Perry Elliott

5

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22 February 2020

Michael King

6

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22 February 2020

Rumana Z Omar

7

1 reference

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22 February 2020

language of work or name

English

0 references

publication date

11 August 2015

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22 February 2020

1 reference

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22 February 2020

volume

351

1 reference

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22 February 2020

page(s)

h3868

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Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement

22 February 2020

cites work

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2 October 2017

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General cardiovascular risk profile for use in primary care: the Framingham Heart Study

2 October 2017

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Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study.

2 October 2017

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Outlet strut fracture of Björk-Shiley convexo concave heart valves: the UK cohort study

2 October 2017

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Prognostic modeling with logistic regression analysis: in search of a sensible strategy in small data sets

2 October 2017

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Meta-analysis and aggregation of multiple published prediction models.

2 October 2017

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An evaluation of penalised survival methods for developing prognostic models with rare events

24 September 2018

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Prognosis and prognostic research: application and impact of prognostic models in clinical practice

24 September 2018

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Generic, simple risk stratification model for heart valve surgery

24 September 2018

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A solution to the problem of separation in logistic regression.

24 September 2018

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Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates

24 September 2018

1 reference

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Penalized likelihood in Cox regression

24 September 2018

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/26264962

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Prognosis and prognostic research: what, why, and how?

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/26264962

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1136/BMJ.H3868

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:26264962%20AND%20SRC:MED&resulttype=core&format=json

22 February 2020

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:26264962%20AND%20SRC:MED&resulttype=core&format=json

22 February 2020

1 reference