Variable selection–a review and recommendations for the practicing statistician
Statistical models support medical research by facilitating individualized outcome
prognostication conditional on independent variables or by estimating effects of risk factors …
prognostication conditional on independent variables or by estimating effects of risk factors …
Reporting recommendations for tumor marker prognostic studies (REMARK): an abridged explanation and elaboration
W Sauerbrei, SE Taube, LM McShane… - JNCI: Journal of the …, 2018 - academic.oup.com
Abstract The Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK)
were developed to address widespread deficiencies in the reporting of such studies. The …
were developed to address widespread deficiencies in the reporting of such studies. The …
Prognosis Research Strategy (PROGRESS) 3: prognostic model research
EW Steyerberg, KGM Moons, DA van der Windt… - PLoS …, 2013 - journals.plos.org
In this article, the third in the PROGRESS series on prognostic factor research, Sara Schroter
and colleagues review how prognostic models are developed and validated, and then …
and colleagues review how prognostic models are developed and validated, and then …
Reporting recommendations for tumor marker prognostic studies (REMARK): explanation and elaboration
Abstract Background The Reporting Recommendations for Tumor Marker Prognostic
Studies (REMARK) checklist consists of 20 items to report for published tumor marker …
Studies (REMARK) checklist consists of 20 items to report for published tumor marker …
Phase 3 trial of everolimus for metastatic renal cell carcinoma: final results and analysis of prognostic factors
BACKGROUND: A phase 3 trial demonstrated superiority at interim analysis for everolimus
over placebo in patients with metastatic renal cell carcinoma (mRCC) progressing on …
over placebo in patients with metastatic renal cell carcinoma (mRCC) progressing on …
Unbiased recursive partitioning: A conditional inference framework
Recursive binary partitioning is a popular tool for regression analysis. Two fundamental
problems of exhaustive search procedures usually applied to fit such models have been …
problems of exhaustive search procedures usually applied to fit such models have been …
Prognosis Research Strategy (PROGRESS) 2: prognostic factor research
In the second article in the PROGRESS series on prognostic factor research, Sara Schroter
and colleagues discuss the role of prognostic factors in current clinical practice, randomised …
and colleagues discuss the role of prognostic factors in current clinical practice, randomised …
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 …
number of markers that have emerged as clinically useful is pitifully small. Often initially …
Prognostic models for breast cancer: a systematic review
Background Breast cancer is the most common cancer in women worldwide, with a great
diversity in outcomes among individual patients. The ability to accurately predict a breast …
diversity in outcomes among individual patients. The ability to accurately predict a breast …
[图书][B] Multivariable model-building: a pragmatic approach to regression anaylsis based on fractional polynomials for modelling continuous variables
P Royston, W Sauerbrei - 2008 - books.google.com
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 …
which empirical data must be analyzed. This book proposes a systematic approach to …