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On the use of the not‐at‐random fully conditional specification (NARFCS) procedure in practice

Statistics in medicine, 2018-07, Vol.37 (15), p.2338-2353

2018

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DNA methylation‐based biological aging and cancer risk and survival: Pooled analysis of seven prospective studies

International journal of cancer, 2018-04, Vol.142 (8), p.1611-1619

2018

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Multiple imputation approaches for handling incomplete three‐level data with time‐varying cluster‐memberships

Statistics in medicine, 2022-09, Vol.41 (22), p.4385-4402

2022

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Multiple imputation for handling missing outcome data in randomized trials involving a mixture of independent and paired data

Statistics in medicine, 2021-11, Vol.40 (27), p.6008-6020

2021

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Social networking and symptoms of depression and anxiety in early adolescence

Depression and anxiety, 2021-05, Vol.38 (5), p.563-570

2021

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Learning outcomes in primary school children with emotional problems : A prospective cohort study

Child and adolescent mental health, 2023-09, Vol.28 (3), p.377-384

2023

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Explaining the link between adiposity and colorectal cancer risk in men and postmenopausal women in the UK Biobank: A sequential causal mediation analysis

International journal of cancer, 2020-10, Vol.147 (7), p.1881-1894

2020

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Longitudinal prediction of periconception alcohol use: a 20‐year prospective cohort study across adolescence, young adulthood and pregnancy

Addiction (Abingdon, England), 2022-02, Vol.117 (2), p.343-353

2022

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Recoverability and estimation of causal effects under typical multivariable missingness mechanisms

Biometrical journal, 2024-04, Vol.66 (3), p.e2200326-n/a

2024

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A comparison of strategies for selecting auxiliary variables for multiple imputation

Biometrical journal, 2024-01, Vol.66 (1), p.e2200291-n/a

2024

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Multiple imputation methods for handling incomplete longitudinal and clustered data where the target analysis is a linear mixed effects model

Biometrical journal, 2020-03, Vol.62 (2), p.444-466

2020

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Adiposity and estrogen receptor‐positive, postmenopausal breast cancer risk: Quantification of the mediating effects of fasting insulin and free estradiol

International journal of cancer, 2020-03, Vol.146 (6), p.1541-1552

2020

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Multiple imputation methods for handling missing values in longitudinal studies with sampling weights: Comparison of methods implemented in Stata

Biometrical journal, 2021-02, Vol.63 (2), p.354-371

2021

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Evaluation of approaches for accommodating interactions and non‐linear terms in multiple imputation of incomplete three‐level data

Biometrical journal, 2022-12, Vol.64 (8), p.1404-1425

2022

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The Victorian Intergenerational Health Cohort Study (VIHCS): Study design of a preconception cohort from parent adolescence to offspring childhood

Paediatric and perinatal epidemiology, 2020-01, Vol.34 (1), p.86-98

2020

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A potpourri of biostatistical research: Special Issue for ISCB ASC 2018

Biometrical journal, 2020-03, Vol.62 (2), p.267-269

2020

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Understanding Interventional Effects: A More Natural Approach to Mediation Analysis?

Epidemiology (Cambridge, Mass.), 2018-09, Vol.29 (5), p.614-617

2018

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Adiposity and breast, endometrial, and colorectal cancer risk in postmenopausal women: Quantification of the mediating effects of leptin, C‐reactive protein, fasting insulin, and estradiol

Cancer medicine (Malden, MA), 2022-02, Vol.11 (4), p.1145-1159

2022

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Statistical analysis of observational studies in disability research

Developmental medicine and child neurology, 2024-05

2024

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Simulating Survival Data Using the simsurv R Package

Journal of statistical software, 2021, Vol.97 (3)

2021

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Association Between Earlier Introduction of Peanut and Prevalence of Peanut Allergy in Infants in Australia

JAMA : the journal of the American Medical Association, 2022-07, Vol.328 (1), p.48

2022

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Maternal carriage of Prevotella during pregnancy associates with protection against food allergy in the offspring

Nature communications, 2020-03, Vol.11 (1), p.1452-1452, Article 1452

2020

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Evaluation of approaches for multiple imputation of three-level data

BMC medical research methodology, 2020-08, Vol.20 (1), p.207-207, Article 207

2020

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Electronic media use and academic performance in late childhood: A longitudinal study

PloS one, 2020-09, Vol.15 (9), p.e0237908-e0237908

2020

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Confounding-adjustment methods for the causal difference in medians

BMC medical research methodology, 2023-12, Vol.23 (1), p.288-288, Article 288

2023

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On the use of the not‐at‐random fully conditional specification (NARFCS) procedure in practice

DNA methylation‐based biological aging and cancer risk and survival: Pooled analysis of seven prospective studies

Multiple imputation approaches for handling incomplete three‐level data with time‐varying cluster‐memberships

Multiple imputation for handling missing outcome data in randomized trials involving a mixture of independent and paired data

Social networking and symptoms of depression and anxiety in early adolescence

Learning outcomes in primary school children with emotional problems : A prospective cohort study

Explaining the link between adiposity and colorectal cancer risk in men and postmenopausal women in the UK Biobank: A sequential causal mediation analysis

Longitudinal prediction of periconception alcohol use: a 20‐year prospective cohort study across adolescence, young adulthood and pregnancy

Recoverability and estimation of causal effects under typical multivariable missingness mechanisms

A comparison of strategies for selecting auxiliary variables for multiple imputation

Multiple imputation methods for handling incomplete longitudinal and clustered data where the target analysis is a linear mixed effects model

Adiposity and estrogen receptor‐positive, postmenopausal breast cancer risk: Quantification of the mediating effects of fasting insulin and free estradiol

Multiple imputation methods for handling missing values in longitudinal studies with sampling weights: Comparison of methods implemented in Stata

Evaluation of approaches for accommodating interactions and non‐linear terms in multiple imputation of incomplete three‐level data

The Victorian Intergenerational Health Cohort Study (VIHCS): Study design of a preconception cohort from parent adolescence to offspring childhood

A potpourri of biostatistical research: Special Issue for ISCB ASC 2018

Understanding Interventional Effects: A More Natural Approach to Mediation Analysis?

Adiposity and breast, endometrial, and colorectal cancer risk in postmenopausal women: Quantification of the mediating effects of leptin, C‐reactive protein, fasting insulin, and estradiol

Statistical analysis of observational studies in disability research

Simulating Survival Data Using the simsurv R Package

Association Between Earlier Introduction of Peanut and Prevalence of Peanut Allergy in Infants in Australia

Maternal carriage of Prevotella during pregnancy associates with protection against food allergy in the offspring

Evaluation of approaches for multiple imputation of three-level data

Electronic media use and academic performance in late childhood: A longitudinal study

Confounding-adjustment methods for the causal difference in medians

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