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Statistical analysis with missing data

Third edition., 2020

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Framework for the treatment and reporting of missing data in observational studies: The Treatment And Reporting of Missing data in Observational Studies framework

Journal of clinical epidemiology, 2021-06, Vol.134, p.79-88

2021

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Spline Pattern-Mixture Models for Missing Data

Journal of Data Science, 2021-01, Vol.19 (1), p.75-95

2021

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A comparison of similarity measures for use in 2-D-3-D medical image registration

IEEE transactions on medical imaging, 1998-08, Vol.17 (4), p.586-595

1998

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Standards should be applied in the prevention and handling of missing data for patient-centered outcomes research: a systematic review and expert consensus

Journal of clinical epidemiology, 2014, Vol.67 (1), p.15-32

2014

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The effect of spray parameters on the properties of high velocity oxy-fuel NiAl intermetallic coatings

Surface & coatings technology, 2000-01, Vol.123 (2), p.210-218

2000

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Degradation of the platinum aluminide coating on CMSX4 at 1100 °C

Surface & coatings technology, 1997-06, Vol.92 (1), p.69-77

1997

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Mixed-Effect Hybrid Models for Longitudinal Data with Nonignorable Dropout

Biometrics, 2009-06, Vol.65 (2), p.478-486

2009

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An Evaluation of Asthma Interventions for Preteen Students

The Journal of school health, 2010-02, Vol.80 (2), p.80-87

2010

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Meta-Analysis of Studies with Missing Data

Biometrics, 2009-06, Vol.65 (2), p.487-496

2009

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Advances in Strategies for Minimizing and Adjusting for Survey Nonresponse

Epidemiologic reviews, 1995, Vol.17 (1), p.192-204

1995

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A Review of Hot Deck Imputation for Survey Non-response

International statistical review, 2010-04, Vol.78 (1), p.40-64

2010

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Missing-Data Adjustments in Large Surveys

Journal of business & economic statistics, 1988-07, Vol.6 (3), p.287-296

Little, Roderick J. A.

1988

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Penalized Spline of Propensity Methods for Treatment Comparison

Journal of the American Statistical Association, 2019-01, Vol.114 (525), p.1-19

2019

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Estimating causal effects in trials involving multitreatment arms subject to non-compliance: a Bayesian framework

Applied statistics, 2010-05, Vol.59 (3), p.513-531

2010

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Nonresponse Bias Analysis in Longitudinal Studies: A Comparative Review with an Application to the Early Childhood Longitudinal Study

International statistical review, 2024-03

2024

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Multiple imputation: an alternative to top coding for statistical disclosure control

Journal of the Royal Statistical Society. Series A, Statistics in society, 2007-01, Vol.170 (4), p.923-940

2007

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Parametric and Semiparametric Model-Based Estimates of the Finite Population Mean for Two-Stage Cluster Samples with Item Nonresponse

Biometrics, 2007-12, Vol.63 (4), p.1172-1180

2007

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SCD Biochip: A Functional Red Blood Cell Adhesion Assay for Monitoring Sickle Cell Disease

Translational research : the journal of laboratory and clinical medicine, 2016

2016

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Bayesian sensitivity analyses for longitudinal data with dropouts that are potentially missing not at random: A high dimensional pattern‐mixture model

Statistics in medicine, 2021-09, Vol.40 (21), p.4609-4628

2021

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Traffic Light: prognosis-based eligibility for clinical trials of hematopoietic SCT in adults with sickle cell anemia

Bone marrow transplantation (Basingstoke), 2015-07, Vol.50 (7), p.918-923

2015

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A Case Study of Nonresponse Bias Analysis in Educational Assessment Surveys

Journal of educational and behavioral statistics, 2023-06, Vol.48 (3), p.271-295

2023

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Longitudinal image analysis of tumour-healthy brain change in contrast uptake induced by radiation

Applied statistics, 2010-11, Vol.59 (5), p.821-838

2010

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A comparison of parametric propensity score‐based methods for causal inference with multiple treatments and a binary outcome

Statistics in medicine, 2021-03, Vol.40 (7), p.1653-1677

2021

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Model-based estimates of the finite population mean for two-stage cluster samples with unit non-response

Applied statistics, 2007, Vol.56 (1), p.79-97

2007

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Statistical analysis with missing data

Framework for the treatment and reporting of missing data in observational studies: The Treatment And Reporting of Missing data in Observational Studies framework

Spline Pattern-Mixture Models for Missing Data

A comparison of similarity measures for use in 2-D-3-D medical image registration

Standards should be applied in the prevention and handling of missing data for patient-centered outcomes research: a systematic review and expert consensus

The effect of spray parameters on the properties of high velocity oxy-fuel NiAl intermetallic coatings

Degradation of the platinum aluminide coating on CMSX4 at 1100 °C

Mixed-Effect Hybrid Models for Longitudinal Data with Nonignorable Dropout

An Evaluation of Asthma Interventions for Preteen Students

Meta-Analysis of Studies with Missing Data

Advances in Strategies for Minimizing and Adjusting for Survey Nonresponse

A Review of Hot Deck Imputation for Survey Non-response

Missing-Data Adjustments in Large Surveys

Penalized Spline of Propensity Methods for Treatment Comparison

Estimating causal effects in trials involving multitreatment arms subject to non-compliance: a Bayesian framework

Nonresponse Bias Analysis in Longitudinal Studies: A Comparative Review with an Application to the Early Childhood Longitudinal Study

Multiple imputation: an alternative to top coding for statistical disclosure control

Parametric and Semiparametric Model-Based Estimates of the Finite Population Mean for Two-Stage Cluster Samples with Item Nonresponse

SCD Biochip: A Functional Red Blood Cell Adhesion Assay for Monitoring Sickle Cell Disease

Bayesian sensitivity analyses for longitudinal data with dropouts that are potentially missing not at random: A high dimensional pattern‐mixture model

Traffic Light: prognosis-based eligibility for clinical trials of hematopoietic SCT in adults with sickle cell anemia

A Case Study of Nonresponse Bias Analysis in Educational Assessment Surveys

Longitudinal image analysis of tumour-healthy brain change in contrast uptake induced by radiation

A comparison of parametric propensity score‐based methods for causal inference with multiple treatments and a binary outcome

Model-based estimates of the finite population mean for two-stage cluster samples with unit non-response

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