In medical research, continuous variables are often converted into categorical variables by
grouping values into two or more categories. We consider in detail issues pertaining to …

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 …

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 …

Prognostic classification schemes have often been used in medical applications, but rarely
subjected to a rigorous examination of their adequacy. For survival data, the statistical …

In developing regression models, data analysts are often faced with many predictor variables
that may influence an outcome variable. After more than half a century of research, the ‘best…

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. …

Multivariable regression models are of fundamental importance in all areas of science in
which empirical data must be analyzed. This book proposes a systematic approach to building …

BACKGROUND: The traditional method of analysing continuous or ordinal risk factors by
categorization or linear models may be improved. METHODS: We propose an approach based …

Background The Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK)
checklist consists of 20 items to report for published tumor marker prognostic studies. It …

BACKGROUND: The use of review articles and meta-analysis has become an important part
of epidemiological research, mainly for reconciling previously conducted studies that have …