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A Penalized Framework for Distributed Lag Non-Linear Models

Biometrics, 2017-09, Vol.73 (3), p.938-948

2017

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Differential dropout and bias in randomised controlled trials: when it matters and when it may not

BMJ (Online), 2013-01, Vol.346, p.e8668

2013

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Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls

BMJ (British Medical Journal), 2009-06, Vol.338 (7713), p.b2393-160

International edition, 2009

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Correction to "A penalized framework for distributed lag non‐linear models" by Antonio Gasparrini, Fabian Scheipl, Ben Armstrong, and Michael G. Kenward; 73, 938–948, September 2017

Biometrics, 2022-06, Vol.78 (2), p.812-812

2022

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Information-anchored sensitivity analysis: theory and application

Journal of the Royal Statistical Society. Series A, Statistics in society, 2019-02, Vol.182 (2), p.623-645

2019

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Sensitivity Analysis for Nonrandom Dropout: A Local Influence Approach

Biometrics, 2001-03, Vol.57 (1), p.7-14

2001

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The Analysis of Designed Experiments and Longitudinal Data by Using Smoothing Splines

Journal of the Royal Statistical Society, 1999, Vol.48 (3), p.269-311

1999

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Every missingness not at random model has a missingness at random counterpart with equal fit

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2008-01, Vol.70 (2), p.371-388

2008

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Bayesian models for weighted data with missing values: a bootstrap approach

Journal of the Royal Statistical Society Series C: Applied Statistics, 2018-08, Vol.67 (4), p.1071-1081

2018

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A Tutorial on the Practical Use and Implication of Complete Sufficient Statistics

International statistical review, 2018-12, Vol.86 (3), p.403-414

2018

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The Effective Sample Size and an Alternative Small-Sample Degrees-of-Freedom Method

The American statistician, 2009-11, Vol.63 (4), p.389-399

2009

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A comparison of multiple imputation and doubly robust estimation for analyses with missing data

Journal of the Royal Statistical Society. Series A, Statistics in society, 2006-07, Vol.169 (3), p.571-584

2006

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Estimating Disease Duration in Cross-sectional Surveys

Epidemiology (Cambridge, Mass.), 2015-11, Vol.26 (6), p.839-845

2015

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Preventing Smoking Relapse Using Text Messages: Analysis of Data From the txt2stop Trial

Nicotine & tobacco research, 2013-01, Vol.15 (1), p.77-82

2013

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The impact of alcohol consumption on patterns of union formation in Russia 1998-2010: An assessment using longitudinal data

Population studies, 2014-09, Vol.68 (3), p.283-303

2014

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Handling missing values in cost effectiveness analyses that use data from cluster randomized trials

Journal of the Royal Statistical Society. Series A, Statistics in society, 2014-02, Vol.177 (2), p.457-474

2014

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Discussion of Likelihood Inference for Models with Unobservables: Another View

Statistical science, 2009-08, Vol.24 (3), p.273-279

2009

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Using Hierarchical Likelihood for Missing Data Problems

Biometrika, 2007-12, Vol.94 (4), p.905-919

2007

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Analysis of Longitudinal Data Using Mixed Model L‐Splines

Biometrics, 2006-06, Vol.62 (2), p.392-401

2006

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Sensitivity analysis for incomplete contingency tables: the Slovenian plebiscite case

Applied statistics, 2001, Vol.50 (1), p.15-29

2001

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Validation of Surrogate Markers in Multiple Randomized Clinical Trials with Repeated Measurements: Canonical Correlation Approach

Biometrics, 2004-12, Vol.60 (4), p.845-853

2004

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IGNORANCE AND UNCERTAINTY REGIONS AS INFERENTIAL TOOLS IN A SENSITIVITY ANALYSIS

Statistica Sinica, 2006-07, Vol.16 (3), p.953-979

2006

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CLUSTERS WITH UNEQUAL SIZE: MAXIMUM LIKELIHOOD VERSUS WEIGHTED ESTIMATION IN LARGE SAMPLES

Statistica Sinica, 2018-07, Vol.28 (3), p.1107-1132

2018

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Nonrandom Missingness in Categorical Data: Strengths and Limitations

The American statistician, 1999-05, Vol.53 (2), p.110-118

1999

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PSEUDO-LIKELIHOOD ESTIMATION FOR INCOMPLETE DATA

Statistica Sinica, 2011-01, Vol.21 (1), p.187-206

2011

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A Penalized Framework for Distributed Lag Non-Linear Models

Differential dropout and bias in randomised controlled trials: when it matters and when it may not

Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls

Correction to "A penalized framework for distributed lag non‐linear models" by Antonio Gasparrini, Fabian Scheipl, Ben Armstrong, and Michael G. Kenward; 73, 938–948, September 2017

Information-anchored sensitivity analysis: theory and application

Sensitivity Analysis for Nonrandom Dropout: A Local Influence Approach

The Analysis of Designed Experiments and Longitudinal Data by Using Smoothing Splines

Every missingness not at random model has a missingness at random counterpart with equal fit

Bayesian models for weighted data with missing values: a bootstrap approach

A Tutorial on the Practical Use and Implication of Complete Sufficient Statistics

The Effective Sample Size and an Alternative Small-Sample Degrees-of-Freedom Method

A comparison of multiple imputation and doubly robust estimation for analyses with missing data

Estimating Disease Duration in Cross-sectional Surveys

Preventing Smoking Relapse Using Text Messages: Analysis of Data From the txt2stop Trial

The impact of alcohol consumption on patterns of union formation in Russia 1998-2010: An assessment using longitudinal data

Handling missing values in cost effectiveness analyses that use data from cluster randomized trials

Discussion of Likelihood Inference for Models with Unobservables: Another View

Using Hierarchical Likelihood for Missing Data Problems

Analysis of Longitudinal Data Using Mixed Model L‐Splines

Sensitivity analysis for incomplete contingency tables: the Slovenian plebiscite case

Validation of Surrogate Markers in Multiple Randomized Clinical Trials with Repeated Measurements: Canonical Correlation Approach

IGNORANCE AND UNCERTAINTY REGIONS AS INFERENTIAL TOOLS IN A SENSITIVITY ANALYSIS

CLUSTERS WITH UNEQUAL SIZE: MAXIMUM LIKELIHOOD VERSUS WEIGHTED ESTIMATION IN LARGE SAMPLES

Nonrandom Missingness in Categorical Data: Strengths and Limitations

PSEUDO-LIKELIHOOD ESTIMATION FOR INCOMPLETE DATA

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