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Prognosis and prognostic research: Developing a prognostic model

BMJ (British Medical Journal), 2009-03, Vol.338 (7707), p.b604-1377

International edition, 2009

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Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls

BMJ (British Medical Journal), 2009-06, Vol.338 (7713), p.b2393-160

International edition, 2009

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

BMJ (British Medical Journal), 2009-06, Vol.338 (7709), p.1487-1490

International edition, 2009

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Exploring Creative Mindsets: Variable and Person-Centered Approaches

Psychology of aesthetics, creativity, and the arts, 2019-02, Vol.13 (1), p.36-48

2019

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The use of fractional polynomials to model continuous risk variables in epidemiology

International journal of epidemiology, 1999-10, Vol.28 (5), p.964-974

1999

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Handbook of Erosion Modelling

1, 2011

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Multivariable regression model building by using fractional polynomials: Description of SAS, STATA and R programs

Computational statistics & data analysis, 2006-08, Vol.50 (12), p.3464-3485

2006

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Prognosis and prognostic research: validating a prognostic model

BMJ (British Medical Journal), 2009-05, Vol.338 (7708), p.b605-1435

2009

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

BMJ (British Medical Journal), 2009-02, Vol.338 (7706), p.b375-1320

2009

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Metastatic renal carcinoma comprehensive prognostic system

British journal of cancer, 2003-02, Vol.88 (3), p.348-353

2003

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How to construct ‘normal ranges’ for fetal variables

Ultrasound in obstetrics & gynecology, 1998-01, Vol.11 (1), p.30-38

1998

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Building multivariable prognostic and diagnostic models: transformation of the predictors by using fractional polynomials

Journal of the Royal Statistical Society. Series A, Statistics in society, 1999, Vol.162 (1), p.71-94

1999

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Stability of multivariable fractional polynomial models with selection of variables and transformations: a bootstrap investigation

Statistics in medicine, 2003-02, Vol.22 (4), p.639-659

2003

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Building multivariable regression models with continuous covariates in clinical epidemiology--with an emphasis on fractional polynomials

Methods of information in medicine, 2005, Vol.44 (4), p.561

2005

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SAT0446 Reference Curves for The Australian/canadian Hand Osteoarthritis Index (AUSCAN) in The General Population

Annals of the rheumatic diseases, 2016-06, Vol.75 (Suppl 2), p.833-833

2016

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Goodness-of-fit statistics for age-specific reference intervals

Statistics in medicine, 2000-11, Vol.19 (21), p.2943-2962

2000

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Reference curves for the Australian/Canadian hand osteoarthritis index (AUSCAN) in the general population

Osteoarthritis and cartilage, 2016-04, Vol.24, p.S436-S436

2016

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Multiple Imputation of Missing Values: Update

The Stata journal, 2005-06, Vol.5 (2), p.188-201

Royston, Patrick

2005

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A simulation study of predictive ability measures in a survival model II: explained randomness and predictive accuracy

Statistics in medicine, 2012-10, Vol.31 (23), p.2644-2659

2012

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Improving the robustness of fractional polynomial models by preliminary covariate transformation: A pragmatic approach

Computational statistics & data analysis, 2007-05, Vol.51 (9), p.4240-4253

2007

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The Lognormal Distribution as a Model for Survival Time in Cancer, With an Emphasis on Prognostic Factors

Statistica Neerlandica, 2001-03, Vol.55 (1), p.89-104

Royston, P.

2001

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Dichotomizing continuous predictors in multiple regression: a bad idea

Statistics in medicine, 2006-01, Vol.25 (1), p.127-141

2006

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An approach to estimating prognosis using fractional polynomials in metastatic renal carcinoma

British journal of cancer, 2006-06, Vol.94 (12), p.1785-1788

2006

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SAT0249 Reference Intervals of Spinal Mobility Measures in Normal Individuals – The Mobility Study

Annals of the rheumatic diseases, 2013-06, Vol.72 (Suppl 3), p.A666-A666

2013

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Evaluation of sample size and power for multi-arm survival trials allowing for non-uniform accrual, non-proportional hazards, loss to follow-up and cross-over

Statistics in medicine, 2006-08, Vol.25 (15), p.2521-2542

2006

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Prognosis and prognostic research: Developing a prognostic model

Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls

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

Exploring Creative Mindsets: Variable and Person-Centered Approaches

The use of fractional polynomials to model continuous risk variables in epidemiology

Handbook of Erosion Modelling

Multivariable regression model building by using fractional polynomials: Description of SAS, STATA and R programs

Prognosis and prognostic research: validating a prognostic model

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

Metastatic renal carcinoma comprehensive prognostic system

How to construct ‘normal ranges’ for fetal variables

Building multivariable prognostic and diagnostic models: transformation of the predictors by using fractional polynomials

Stability of multivariable fractional polynomial models with selection of variables and transformations: a bootstrap investigation

Building multivariable regression models with continuous covariates in clinical epidemiology--with an emphasis on fractional polynomials

SAT0446 Reference Curves for The Australian/canadian Hand Osteoarthritis Index (AUSCAN) in The General Population

Goodness-of-fit statistics for age-specific reference intervals

Reference curves for the Australian/Canadian hand osteoarthritis index (AUSCAN) in the general population

Multiple Imputation of Missing Values: Update

A simulation study of predictive ability measures in a survival model II: explained randomness and predictive accuracy

Improving the robustness of fractional polynomial models by preliminary covariate transformation: A pragmatic approach

The Lognormal Distribution as a Model for Survival Time in Cancer, With an Emphasis on Prognostic Factors

Dichotomizing continuous predictors in multiple regression: a bad idea

An approach to estimating prognosis using fractional polynomials in metastatic renal carcinoma

SAT0249 Reference Intervals of Spinal Mobility Measures in Normal Individuals – The Mobility Study

Evaluation of sample size and power for multi-arm survival trials allowing for non-uniform accrual, non-proportional hazards, loss to follow-up and cross-over

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