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Multiple Imputation of Missing Values: Update of Ice

The Stata journal, 2005-12, Vol.5 (4), p.527-536

Royston, Patrick

2005

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Multiple Imputation of Missing Values

The Stata journal, 2004-08, Vol.4 (3), p.227-241

Royston, Patrick

2004

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Tools for Checking Calibration of a Cox Model in External Validation: Prediction of Population-Averaged Survival Curves Based on Risk Groups

The Stata journal, 2015-04, Vol.15 (1), p.275-291

Royston, Patrick

2015

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Multiple Imputation by Chained Equations (MICE): Implementation in Stata

Journal of statistical software, 2011-12, Vol.45 (4)

2011

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Explained Variation for Survival Models

The Stata journal, 2006-02, Vol.6 (1), p.83-96

Royston, Patrick

2006

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Multiple Imputation of Missing Values: Update

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

Royston, Patrick

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Imputing missing covariate values for the Cox model

Statistics in medicine, 2009-07, Vol.28 (15), p.1982-1998

2009

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Multiple imputation using chained equations: Issues and guidance for practice

Statistics in medicine, 2011-02, Vol.30 (4), p.377-399

2011

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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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The use of restricted mean survival time to estimate the treatment effect in randomized clinical trials when the proportional hazards assumption is in doubt

Statistics in medicine, 2011-08, Vol.30 (19), p.2409-2421

2011

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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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Tuning multiple imputation by predictive mean matching and local residual draws

BMC medical research methodology, 2014-06, Vol.14 (1), p.75-75, Article 75

2014

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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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Risk prediction models: II. External validation, model updating, and impact assessment

Heart, 2012-05, Vol.98 (9), p.691-698

2012

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Correcting for Optimistic Prediction in Small Data Sets

American journal of epidemiology, 2014-08, Vol.180 (3), p.318-324

2014

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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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The design of simulation studies in medical statistics

Statistics in medicine, 2006-12, Vol.25 (24), p.4279-4292

2006

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Combining estimates of interest in prognostic modelling studies after multiple imputation: current practice and guidelines

BMC medical research methodology, 2009-07, Vol.9 (1), p.57-57, Article 57

2009

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Reporting performance of prognostic models in cancer: a review

BMC medicine, 2010-03, Vol.8 (1), p.21-21, Article 21

2010

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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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A New Framework for Managing and Analyzing Multiply Imputed Data in Stata

The Stata journal, 2008-04, Vol.8 (1), p.49-67

2008

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Reconstructing Time-to-event Data from Published Kaplan–Meier Curves

The Stata journal, 2017-12, Vol.17 (4), p.786-802

2017

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Multiple Imputation of Missing Values: Further Update of Ice, with an Emphasis on Categorical Variables

The Stata journal, 2009-01, Vol.9 (3), p.466-477

Royston, Patrick

2009

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Augmenting the logrank test in the design of clinical trials in which non-proportional hazards of the treatment effect may be anticipated

BMC medical research methodology, 2016-02, Vol.16 (16), p.16-16, Article 16

2016

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A simulation study comparing the power of nine tests of the treatment effect in randomized controlled trials with a time-to-event outcome

Trials, 2020-04, Vol.21 (1), p.315-315, Article 315

2020

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Multiple Imputation of Missing Values: Update of Ice

Multiple Imputation of Missing Values

Tools for Checking Calibration of a Cox Model in External Validation: Prediction of Population-Averaged Survival Curves Based on Risk Groups

Multiple Imputation by Chained Equations (MICE): Implementation in Stata

Explained Variation for Survival Models

Multiple Imputation of Missing Values: Update

Imputing missing covariate values for the Cox model

Multiple imputation using chained equations: Issues and guidance for practice

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

The use of restricted mean survival time to estimate the treatment effect in randomized clinical trials when the proportional hazards assumption is in doubt

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

Tuning multiple imputation by predictive mean matching and local residual draws

Dichotomizing continuous predictors in multiple regression: a bad idea

Risk prediction models: II. External validation, model updating, and impact assessment

Correcting for Optimistic Prediction in Small Data Sets

A new measure of prognostic separation in survival data

The design of simulation studies in medical statistics

Combining estimates of interest in prognostic modelling studies after multiple imputation: current practice and guidelines

Reporting performance of prognostic models in cancer: a review

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

A New Framework for Managing and Analyzing Multiply Imputed Data in Stata

Reconstructing Time-to-event Data from Published Kaplan–Meier Curves

Multiple Imputation of Missing Values: Further Update of Ice, with an Emphasis on Categorical Variables

Augmenting the logrank test in the design of clinical trials in which non-proportional hazards of the treatment effect may be anticipated

A simulation study comparing the power of nine tests of the treatment effect in randomized controlled trials with a time-to-event outcome

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