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Extending the MR‐Egger method for multivariable Mendelian randomization to correct for both measured and unmeasured pleiotropy

Statistics in medicine, 2017-12, Vol.36 (29), p.4705-4718

2017

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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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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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ProGeM: a framework for the prioritization of candidate causal genes at molecular quantitative trait loci

Nucleic acids research, 2019-01, Vol.47 (1), p.e3

2019

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Genomic Risk Prediction of Coronary Artery Disease in 480,000 Adults: Implications for Primary Prevention

Journal of the American College of Cardiology, 2018-10, Vol.72 (16), p.1883-1893

2018

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How should variable selection be performed with multiply imputed data?

Statistics in medicine, 2008-07, Vol.27 (17), p.3227-3246

2008

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Biomarkers and clinical outcomes in COPD: a systematic review and meta-analysis

Thorax, 2019-05, Vol.74 (5), p.439

2019

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Polygenic basis and biomedical consequences of telomere length variation

Nature genetics, 2021-10, Vol.53 (10), p.1425

2021

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Birth Weight Percentile and the Risk of Term Perinatal Death

Obstetrics and gynecology (New York. 1953), 2014-08, Vol.124 (2, PART 1), p.274-283

2014

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Kidney transplantation and patients who decline SARS‐CoV‐2 vaccination: an ethical framework

Transplant international, 2021-10, Vol.34 (10), p.1770-1775

2021

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Landmark Models for Optimizing the Use of Repeated Measurements of Risk Factors in Electronic Health Records to Predict Future Disease Risk

American journal of epidemiology, 2018-07, Vol.187 (7), p.1530-1538

2018

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Effect of interpregnancy weight change on perinatal outcomes: systematic review and meta-analysis

BMC pregnancy and childbirth, 2019-10, Vol.19 (1), p.386-386, Article 386

2019

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The use of repeated blood pressure measures for cardiovascular risk prediction: a comparison of statistical models in the ARIC study

Statistics in medicine, 2017-12, Vol.36 (28), p.4514-4528

2017

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4-Hydroxyglutamate is a novel predictor of pre-eclampsia

International journal of epidemiology, 2020-02, Vol.49 (1), p.301-311

2020

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Miscarriage and future maternal cardiovascular disease: a systematic review and meta-analysis

Heart (British Cardiac Society), 2013-11, Vol.99 (22), p.1636-1644

2013

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Incremental value of risk factor variability for cardiovascular risk prediction in individuals with type 2 diabetes: results from UK primary care electronic health records

International journal of epidemiology, 2022-12, Vol.51 (6), p.1813-1823

2022

Volltextzugriff (PDF)

Prediction of Cardiovascular Disease Risk Accounting for Future Initiation of Statin Treatment

American journal of epidemiology, 2021-10, Vol.190 (10), p.2000-2014

2021

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Population‐calibrated multiple imputation for a binary/categorical covariate in categorical regression models

Statistics in medicine, 2019-02, Vol.38 (5), p.792-808

2019

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Short physical performance battery as a practical tool to assess mortality risk in chronic obstructive pulmonary disease

Age and ageing, 2021-05, Vol.50 (3), p.795-801

2021

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The associations of major foods and fibre with risks of ischaemic and haemorrhagic stroke: a prospective study of 418 329 participants in the EPIC cohort across nine European countries

European heart journal, 2020-07, Vol.41 (28), p.2632-2640

2020

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Combining multiple imputation and meta-analysis with individual participant data

Statistics in medicine, 2013-11, Vol.32 (26), p.4499-4514

2013

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Imputation methods for missing outcome data in meta-analysis of clinical trials

Clinical trials (London, England), 2008-06, Vol.5 (3), p.225-239

2008

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Extending the MR‐Egger method for multivariable Mendelian randomization to correct for both measured and unmeasured pleiotropy

Multiple imputation using chained equations: Issues and guidance for practice

Correcting for Optimistic Prediction in Small Data Sets

ProGeM: a framework for the prioritization of candidate causal genes at molecular quantitative trait loci

A cross-platform approach identifies genetic regulators of human metabolism and health

Genomic Risk Prediction of Coronary Artery Disease in 480,000 Adults: Implications for Primary Prevention

How should variable selection be performed with multiply imputed data?

Biomarkers and clinical outcomes in COPD: a systematic review and meta-analysis

Association of COVID-19 With Major Arterial and Venous Thrombotic Diseases: A Population-Wide Cohort Study of 48 Million Adults in England and Wales

Polygenic basis and biomedical consequences of telomere length variation

SCORE2-OP risk prediction algorithms: estimating incident cardiovascular event risk in older persons in four geographical risk regions

Birth Weight Percentile and the Risk of Term Perinatal Death

Kidney transplantation and patients who decline SARS‐CoV‐2 vaccination: an ethical framework

Landmark Models for Optimizing the Use of Repeated Measurements of Risk Factors in Electronic Health Records to Predict Future Disease Risk

Effect of interpregnancy weight change on perinatal outcomes: systematic review and meta-analysis

The use of repeated blood pressure measures for cardiovascular risk prediction: a comparison of statistical models in the ARIC study

4-Hydroxyglutamate is a novel predictor of pre-eclampsia

Miscarriage and future maternal cardiovascular disease: a systematic review and meta-analysis

Incremental value of risk factor variability for cardiovascular risk prediction in individuals with type 2 diabetes: results from UK primary care electronic health records

Prediction of Cardiovascular Disease Risk Accounting for Future Initiation of Statin Treatment

Population‐calibrated multiple imputation for a binary/categorical covariate in categorical regression models

Short physical performance battery as a practical tool to assess mortality risk in chronic obstructive pulmonary disease

The associations of major foods and fibre with risks of ischaemic and haemorrhagic stroke: a prospective study of 418 329 participants in the EPIC cohort across nine European countries

Combining multiple imputation and meta-analysis with individual participant data

Imputation methods for missing outcome data in meta-analysis of clinical trials

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