• Publications
  • Influence
Assessment and comparison of prognostic classification schemes for survival data.
TLDR
We develop measures of inaccuracy which may be calculated in a validation study in order to assess the usefulness of estimated patient-specific survival probabilities associated with a prognostic classification scheme. Expand
  • 528
  • 57
Multivariable Model-Building: A Pragmatic Approach to Regression Analysis based on Fractional Polynomials for Modelling Continuous Variables
Preface. 1. Introduction. 1.1 Real-Life Problems as Motivation for Model Building. 1.2 Issues in Modelling Continuous Predictors. 1.3 Types of Regression Model Considered. 1.4 Role of Residuals. 1.5Expand
  • 661
  • 42
  • PDF
Reporting recommendations for tumor marker prognostic studies (REMARK).
Despite years of research and hundreds of reports on tumor markers in oncology, the number of markers that have emerged as clinically useful is pitifully small. Often, initially reported studies of aExpand
  • 1,677
  • 41
  • PDF
The use of fractional polynomials to model continuous risk variables in epidemiology.
TLDR
We propose an approach based on transformation and fractional polynomials which yields simple regression models with interpretable curves for the analysis of continuous or ordinal risk factors in epidemiological studies. Expand
  • 953
  • 32
  • PDF
Dichotomizing continuous predictors in multiple regression: a bad idea.
TLDR
In medical research, continuous variables are often converted into categorical variables by grouping values into two or more categories. Expand
  • 1,544
  • 29
  • PDF
Dangers of using "optimal" cutpoints in the evaluation of prognostic factors.
  • 1,002
  • 27
  • PDF
A new measure of prognostic separation in survival data.
Multivariable prognostic models are widely used in cancer and other disease areas, and have a range of applications in clinical medicine, clinical trials and allocation of health services resources.Expand
  • 323
  • 26
A bootstrap resampling procedure for model building: application to the Cox regression model.
TLDR
A common problem in the statistical analysis of clinical studies is the selection of those variables in the framework of a regression model which might influence the outcome variable. Expand
  • 539
  • 18
REporting recommendations for tumor MARKer prognostic studies (REMARK)
Despite years of research and hundreds of reports on tumor markers in oncology, the number of markers that have emerged as clinically useful is pitifully small. Often initially reported studies of aExpand
  • 741
  • 17
REporting recommendations for tumour MARKer prognostic studies (REMARK)
Despite years of research and hundreds of reports on tumour markers in oncology, the number of markers that have emerged as clinically useful is pitifully small. Often initially reported studies of aExpand
  • 422
  • 17
  • PDF