SCOPUS 정보 검색 플랫폼

Statistics in Medicine

Volumn 16, Issue 4, 1997, Pages 385-395

The lasso method for variable selection in the cox model

(1) Tibshirani, Robert a

a UNIVERSITY OF TORONTO (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; DATA ANALYSIS; EPIDEMIOLOGICAL DATA; HUMAN; REGRESSION ANALYSIS; STATISTICAL ANALYSIS; TECHNIQUE;

HUMANS; KARNOFSKY PERFORMANCE STATUS; LIKELIHOOD FUNCTIONS; LIVER CIRRHOSIS; LUNG NEOPLASMS; PROPORTIONAL HAZARDS MODELS; RANDOMIZED CONTROLLED TRIALS; SURVIVAL ANALYSIS;

EID: 0031015557 PISSN: 02776715 EISSN: None Source Type: Journal
DOI: 10.1002/(SICI)1097-0258(19970228)16:4<385::AID-SIM380>3.0.CO;2-3 Document Type: Article

Times cited : (3284)

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- Cox, D.¹

2
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- Regression shrinkage and selection via the lasso
- Tibshirani, R. 'Regression shrinkage and selection via the lasso', Journal of the Royal Statistical Society, Series B, (1995).
- (1995) Journal of the Royal Statistical Society, Series B
- Tibshirani, R.¹

3
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- Chapman and Hall
- Hastie, T. and Tibshirani, R. Generalized Additive Models, Chapman and Hall, 1990.
- (1990) Generalized Additive Models
- Hastie, T.¹ Tibshirani, R.²

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- Wiley, New York
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- (1980) The Statistical Analysis of Failure Time Data
- Kalbfleisch, J.¹ Prentice, R.²

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- Estimating the dimension of a model
- Schwarz, G. 'Estimating the dimension of a model', Annals of Statistics, 6, 461-464 (1978).
- (1978) Annals of Statistics , vol.6 , pp. 461-464
- Schwarz, G.¹

6
- 0005173689
- Spline bases, regularization, and generalized cross-validation for solving approximation problems with large quantities of noisy data
- Wahba, Academic Press, Austin, Texas
- Wahba 'Spline bases, regularization, and generalized cross-validation for solving approximation problems with large quantities of noisy data', in Proceedings of the International Conference on Approximation theory in honour of George Lorenz, Academic Press, Austin, Texas, 1980.
- (1980) Proceedings of the International Conference on Approximation Theory in Honour of George Lorenz

7
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- Information theory and an extension of the maximum likelihood principle
- Akaike, H. 'Information theory and an extension of the maximum likelihood principle', in Second International Symposium on Information Theory, 1973 pp. 267-281.
- (1973) Second International Symposium on Information Theory , pp. 267-281
- Akaike, H.¹

8
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- Bayesian variable selection in linear regression
- Mitchell, T. and Beauchamp, J. 'Bayesian variable selection in linear regression', Journal of the American Statistical Association, 83, 1023-1036 (1988).
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- Mitchell, T.¹ Beauchamp, J.²

9
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- Variable selection via Gibbs sampling
- George, E. and McCulloch, R. 'Variable selection via Gibbs sampling', Journal of the American Statistical Association, 88, 884-889 (1993).
- (1993) Journal of the American Statistical Association , vol.88 , pp. 884-889
- George, E.¹ McCulloch, R.²

10
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- A bootstrap resampling procedure for model building: Application to the cox regression model
- Sauerbrei, W. and Schumacher, M. 'A bootstrap resampling procedure for model building: application to the cox regression model', Statistics in Medicine, 11, 2093-2109 (1992).
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