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A review of spline function procedures in R

BMC medical research methodology, 2019-03, Vol.19 (1), p.46-46, Article 46

2019

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Comparison of variable selection procedures and investigation of the role of shrinkage in linear regression-protocol of a simulation study in low-dimensional data

PloS one, 2022-10, Vol.17 (10), p.e0271240-e0271240

2022

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Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK): An Abridged Explanation and Elaboration

JNCI : Journal of the National Cancer Institute, 2018-08, Vol.110 (8), p.803-811

2018

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Selection of important variables and determination of functional form for continuous predictors in multivariable model building

Statistics in medicine, 2007-12, Vol.26 (30), p.5512-5528

2007

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Investigating treatment-effect modification by a continuous covariate in IPD meta-analysis: an approach using fractional polynomials

BMC medical research methodology, 2022-04, Vol.22 (1), p.98-98, Article 98

2022

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Reporting recommendations for tumor marker prognostic studies (REMARK): explanation and elaboration

BMC medicine, 2012-05, Vol.10 (1), p.51-51, Article 51

2012

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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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Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK): explanation and elaboration

PLoS medicine, 2012-05, Vol.9 (5), p.e1001216-e1001216

2012

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Structured reporting to improve transparency of analyses in prognostic marker studies

BMC medicine, 2022-05, Vol.20 (1), p.184-19, Article 184

2022

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Statistical analysis of high-dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challenges

BMC medicine, 2023-05, Vol.21 (1), p.182-182, Article 182

2023

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Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R

BMC medical research methodology, 2021-04, Vol.21 (1), p.63-63, Article 63

2021

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A new measure of prognostic separation in survival data

Statistics in medicine, 2004-03, Vol.23 (5), p.723-748

2004

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Meta‐analysis of non‐linear exposure‐outcome relationships using individual participant data: A comparison of two methods

Statistics in medicine, 2019-02, Vol.38 (3), p.326-338

2019

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Reporting recommendations for tumor marker prognostic studies

Journal of clinical oncology, 2005-12, Vol.23 (36), p.9067-9072

2005

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Did the reporting of prognostic studies of tumour markers improve since the introduction of REMARK guideline? A comparison of reporting in published articles

PloS one, 2017-06, Vol.12 (6), p.e0178531-e0178531

2017

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Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK)

JNCI : Journal of the National Cancer Institute, 2005-08, Vol.97 (16), p.1180-1184

2005

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Global, Parameterwise and Joint Shrinkage Factor Estimation

Journal of statistical software, 2016-03, Vol.69 (8), p.1-19

2016

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Review of guidance papers on regression modeling in statistical series of medical journals

PloS one, 2022-01, Vol.17 (1), p.e0262918-e0262918

2022

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Individual participant data meta-analysis of prognostic factor studies: state of the art?

BMC medical research methodology, 2012-04, Vol.12 (1), p.56-56, Article 56

2012

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REporting recommendations for tumor MARKer prognostic studies (REMARK)

Breast cancer research and treatment, 2006-11, Vol.100 (2), p.229-235

2006

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Introduction to statistical simulations in health research

BMJ open, 2020-12, Vol.10 (12), p.e039921-e039921

2020

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Regression without regrets -initial data analysis is a prerequisite for multivariable regression

BMC medical research methodology, 2024-08, Vol.24 (1), p.178-17, Article 178

2024

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A plea for taking all available clinical information into account when assessing the predictive value of omics data

BMC medical research methodology, 2019-07, Vol.19 (1), p.162-162, Article 162

2019

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Effects of influential points and sample size on the selection and replicability of multivariable fractional polynomial models

Diagnostic and prognostic research, 2023-04, Vol.7 (1), p.7-17, Article 7

2023

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Improving the Prognostic Ability through Better Use of Standard Clinical Data - The Nottingham Prognostic Index as an Example

PloS one, 2016-03, Vol.11 (3), p.e0149977

2016

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A review of spline function procedures in R

Comparison of variable selection procedures and investigation of the role of shrinkage in linear regression-protocol of a simulation study in low-dimensional data

Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK): An Abridged Explanation and Elaboration

Selection of important variables and determination of functional form for continuous predictors in multivariable model building

Investigating treatment-effect modification by a continuous covariate in IPD meta-analysis: an approach using fractional polynomials

Reporting recommendations for tumor marker prognostic studies (REMARK): explanation and elaboration

Dichotomizing continuous predictors in multiple regression: a bad idea

Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK): explanation and elaboration

Structured reporting to improve transparency of analyses in prognostic marker studies

Statistical analysis of high-dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challenges

Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R

A new measure of prognostic separation in survival data

Meta‐analysis of non‐linear exposure‐outcome relationships using individual participant data: A comparison of two methods

Reporting recommendations for tumor marker prognostic studies

Did the reporting of prognostic studies of tumour markers improve since the introduction of REMARK guideline? A comparison of reporting in published articles

Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK)

Global, Parameterwise and Joint Shrinkage Factor Estimation

Review of guidance papers on regression modeling in statistical series of medical journals

Individual participant data meta-analysis of prognostic factor studies: state of the art?

REporting recommendations for tumor MARKer prognostic studies (REMARK)

Introduction to statistical simulations in health research

Regression without regrets -initial data analysis is a prerequisite for multivariable regression

A plea for taking all available clinical information into account when assessing the predictive value of omics data

Effects of influential points and sample size on the selection and replicability of multivariable fractional polynomial models

Improving the Prognostic Ability through Better Use of Standard Clinical Data - The Nottingham Prognostic Index as an Example

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