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1. Two techniques for investigating interactions between treatment and continuous covariates in clinical trials


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2. Bootstrap assessment of the stability of multivariable models


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3. Multivariable modeling with cubic regression splines: A principled approach


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4. Increasing the usefulness of additive spline models by knot removal


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5. Added predictive value of high-throughput molecular data to clinical data and its validation


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6. Added predictive value of high-throughput molecular data to clinical data and its validation


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7. Added predictive value of high-throughput molecular data to clinical data, and its validation


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8. Detecting an interaction between treatment and a continuous covariate: A comparison of two approaches


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9. On properties of predictors derived with a two-step bootstrap model averaging approach--A simulation study in the linear regression model


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10. Identification of Clinically Useful Cancer Prognostic Factors: What Are We Missing?


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