The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Explained Variation for Survival Models
Open accessAbstract
This article introduces a new measure of explained variation for use with censored survival data. It is a modified version of a measure previously described by John O'Quigley and colleagues, itself a modification of Nagelkerke's earlier proposal for a general index of determination. I describe Stata programs str2ph, which implements the new measure, and str2d, which implements a measure proposed in 2004 by Royston and Sauerbrei. I provide examples with real data.
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Cites
A note on a general definition of the coefficient of determination
NAGELKERKE, N. J. D. (1991) · Biometrika · doi:10.1093/biomet/78.3.691 · Cited by 5,927
A new measure of prognostic separation in survival data
Royston, P., & Sauerbrei, W. (2004) · Statistics in Medicine · doi:10.1002/sim.1621 · Cited by 450
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Cited by
Moons, K. G. M., Altman, D. G., Reitsma, J. B., Ioannidis, J. P. A., Macaskill, P., Steyerberg, E. W., Vickers, A. J., Ransohoff, D. F., & Collins, G. S. (2015) · Annals of Internal Medicine · doi:10.7326/m14-0698 · Cited by 5,147
Calculating the sample size required for developing a clinical prediction model
Riley, R. D., Ensor, J., Snell, K. I. E., Harrell, F. E., Martin, G. P., Reitsma, J. B., Moons, K. G. M., Collins, G., & van Smeden, M. (2020) · BMJ · doi:10.1136/bmj.m441 · Cited by 2,917
Hippisley-Cox, J., Coupland, C., & Brindle, P. (2017) · BMJ · doi:10.1136/bmj.j2099 · Cited by 1,703
Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2
Hippisley-Cox, J., Coupland, C., Vinogradova, Y., Robson, J., Minhas, R., Sheikh, A., & Brindle, P. (2008) · BMJ · doi:10.1136/bmj.39609.449676.25 · Cited by 1,459
Riley, R. D., Snell, K. I., Ensor, J., Burke, D. L., Harrell Jr, F. E., Moons, K. G., & Collins, G. S. (2019) · Statistics in Medicine · doi:10.1002/sim.7992 · Cited by 1,409
Collins, G. S., Ogundimu, E. O., & Altman, D. G. (2016) · Statistics in Medicine · doi:10.1002/sim.6787 · Cited by 665
The presence and severity of chronic kidney disease predicts all-cause mortality in type 1 diabetes
Groop, P.-H., Thomas, M. C., Moran, J. L., Wadèn, J., Thorn, L. M., Mäkinen, V.-P., Rosengård-Bärlund, M., Saraheimo, M., Hietala, K., Heikkilä, O., et al. (2009) · Diabetes · doi:10.2337/db08-1543 · Cited by 638
Thomas, M. C., Moran, J., Forsblom, C., Harjutsalo, V., Thorn, L., Ahola, A., Wadén, J., Tolonen, N., Saraheimo, M., Gordin, D., et al. (2011) · Diabetes Care · doi:10.2337/dc10-1722 · Cited by 349
Kaptoge, S., Beck, T. J., Reeve, J., Stone, K. L., Hillier, T. A., Cauley, J. A., & Cummings, S. R. (2008) · Journal of Bone and Mineral Research · doi:10.1359/jbmr.080802 · Cited by 283
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Fusar-Poli, P., Rutigliano, G., Stahl, D., Davies, C., Bonoldi, I., Reilly, T., & McGuire, P. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2017.0284 · Cited by 246
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Hippisley-Cox, J., & Coupland, C. (2015) · BMJ · doi:10.1136/bmj.h5441 · Cited by 63
Austin, P. C., Pencinca, M. J., & Steyerberg, E. W. (2017) · Statistical Methods in Medical Research · doi:10.1177/0962280214567141 · Cited by 39
Jinks, R. C., Royston, P., & Parmar, M. K. (2015) · BMC Medical Research Methodology · doi:10.1186/s12874-015-0078-y · Cited by 32
Self-citationQuantifying predictive accuracy in survival models
Lirette, S. T., & Aban, I. (2017) · Journal of Nuclear Cardiology · doi:10.1007/s12350-015-0296-z · Cited by 8
Metadata
- Authors
- Royston, P.
- Venue
- The Stata Journal: Promoting communications on statistics and Stata
- Publisher
- SAGE Publications
- Published
- 2006-02
- Volume
- 6
- Issue
- 1
- Pages
- 83-96
- ISSN
- 1536-867X (ISSN-L)
- 1536-8734
- OpenAlex
- W2132392106
- Cited by
- 303
- References
- 2
- FWCI
- 5.80
- Type
- journal article
- Language
- en
- Open access
- bronze
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
