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Abbreviation : MI
Long Form : multiple imputation
No. Year Title Co-occurring Abbreviation
2020 A latent class based imputation method under Bayesian quantile regression framework using asymmetric Laplace distribution for longitudinal medication usage data with intermittent missing values. AS, BQR, NSAIDs
2020 Approaches for missing covariate data in logistic regression with MNAR sensitivity analyses. CCA, MAR, MCAR, MI-FCS, MNAR
2020 Fitting Ordinal Factor Analysis Models With Missing Data: A Comparison Between Pairwise Deletion and Multiple Imputation. MAR, MCAR, PD
2020 Multiple imputation methods for handling incomplete longitudinal and clustered data where the target analysis is a linear mixed effects model. BMI, FCS, LMM, LSAC, QOL
2020 Regression analysis of recurrent-event-free time from multiple follow-up windows. PO
2019 A Comparison of Missing-Data Imputation Techniques in Exploratory Factor Analysis. ---
2019 Accounting for missing data in statistical analyses: multiple imputation is not always the answer. CCA, MAR
2019 Analyzing patient-reported outcome data when completion differs between arms in open-label trials: an application of principal stratification. CCA, FDA, PROs, QOL
2019 Comparing external and internal validation methods in correcting outcome misclassification bias in logistic regression: A simulation study and application to the case of postsurgical venous thromboembolism following total hip and knee arthroplasty. OR, THR/TKR, VTE
10  2019 Dealing with indeterminate outcomes in antimalarial drug efficacy trials: a comparison between complete case analysis, multiple imputation and inverse probability weighting. CC, IPW, KM
11  2019 dynr.mi: An R Program for Multiple Imputation in Dynamic Modeling. dynr, ILD, MICE
12  2019 Estimating missing concentrations of p,p'-DDT in the 1999-2004 National Health and Nutrition Examination Survey using multiple imputation. NHANES
13  2019 HIV incidence among women at high risk of HIV infection attending a dedicated clinic in Kampala, Uganda: 2008-2017. ---
14  2019 Hot Deck Multiple Imputation for Handling Missing Accelerometer Data. AC, CC, CI
15  2019 Human Immunodeficiency Virus Incidence Among Women at High-Risk of Human Immunodeficiency Virus Infection Attending a Dedicated Clinic in Kampala, Uganda: 2008-2017. HIV
16  2019 Illustration of Measurement Error Models for Reducing Bias in Nutrition and Obesity Research Using 2-D Body Composition Data. RC, SIMEX, T2D
17  2019 Impact of missing data on bias and precision when estimating change in patient-reported outcomes from a clinical registry. CCA, CI, ML, PROs, RMSE
18  2019 Improving Standard Error Estimates in Multistage Estimation: A Multiple Imputation (MI) Based Approach. ---
19  2019 Ixekizumab sustains high level of efficacy and favourable safety profile over 4years in patients with moderate psoriasis: results from UNCOVER-3 study. IXE, mNRI
20  2019 Local average treatment effects estimation via substantive model compatible multiple imputation. LATE, RCTs, TSLS
21  2019 Methods for Dealing With Missing Covariate Data in Epigenome-Wide Association Studies. cc, EWAS
22  2019 Missing Data in Marginal Structural Models: A Plasmode Simulation Study Comparing Multiple Imputation and Inverse Probability Weighting. CC, IPW, MSMs
23  2019 Missing data strategies for time-varying confounders in comparative effectiveness studies of non-missing time-varying exposures and right-censored outcomes. CC
24  2019 Multiple imputation for discrete data: Evaluation of the joint latent normal model. FCS-MI, JM-MI
25  2019 Multiple Imputation for Incomplete Data in Environmental Epidemiology Research. CCA
26  2019 Multiple imputation in the presence of an incomplete binary variable created from an underlying continuous variable. FCS, MAR, SMC
27  2019 Population-calibrated multiple imputation for a binary/categorical covariate in categorical regression models. MAR
28  2019 Randomized, double-blind, placebo-controlled study of F17464, a preferential D3 antagonist, in the treatment of acute exacerbation of schizophrenia. AEs, ANCOVA, LOCF, PANSS
29  2019 SLE clinical trials: impact of missing data on estimating treatment effects. CC, LOCF, MMF, NRI, SOC, SRI-5
30  2019 The proportion of missing data should not be used to guide decisions on multiple imputation. FMI, MAR
31  2019 Using Structural Equation Modeling to Examine the Influence of Social, Behavioral, and Nutritional Variables on Health Outcomes Based on NHANES Data: Addressing Complex Design, Nonnormally Distributed Variables, and Missing Information. ML, QML, SEM
32  2018 A bias-corrected estimator in multiple imputation for missing data. ---
33  2018 A comparison of multiple imputation methods for missing data in longitudinal studies. BMI, JM-MVN, MAR
34  2018 A multiple imputation method based on weighted quantile regression models for longitudinal censored biomarker data with missing values at early visits. AS, CQR, CRP
35  2018 Analyzing self-controlled case series data when case confirmation rates are estimated from an internal validation sample. EHR, SCCS
36  2018 Comparison of intent-to-treat analysis strategies for pre-post studies with loss to follow-up. AA, ANCOVA, BePHIT, CC, ITT
37  2018 Comparison of statistical approaches for analyzing incomplete longitudinal patient-reported outcome data in randomized controlled trials. IPW, ML, PROMs
38  2018 Determinants of High-School Dropout: A Longitudinal Study in a Deprived Area of Japan. CI, PRs
39  2018 Does pattern mixture modelling reduce bias due to informative attrition compared to fitting a mixed effects model to the available cases or data imputed using multiple imputation?: a simulation study. PMM
40  2018 Effects on nasal airflow and resistance using two different RME appliances: a randomized controlled trial. RME, TB, TBB
41  2018 Exploring factors associated with views on sharing of certain interim trial result measures by the data safety monitoring board (DSMB) with non-DSMB members. ACP, CI, DSMB, ICombinedER, IControlER, ISCB, OR, SCT, UCP
42  2018 Handling Missing Data in the Modeling of Intensive Longitudinal Data. ---
43  2018 Hierarchical imputation of systematically and sporadically missing data: An approximate Bayesian approach using chained equations. ---
44  2018 Improved methods for estimating fraction of missing information in multiple imputation. FMI
45  2018 Methods for handling longitudinal outcome processes truncated by dropout and death. IPW, LI
46  2018 Missing data and prediction: the pattern submodel. MAR, PS
47  2018 Missing Data in Surgical Data Sets: A Review of Pertinent Issues and Solutions. SI
48  2018 Multiple imputation for patient reported outcome measures in randomised controlled trials: advantages and disadvantages of imputing at the item, subscale or composite score level. EQ-5D-3L, MAE, OKS, PROMs, RCTs, RMSE
49  2018 Multiple imputation of missing data in nested case-control and case-cohort studies. MI-approx
50  2018 Multiple imputation of missing marijuana data in the Fatality Analysis Reporting System using a Bayesian multilevel model. BACs, FARS
51  2018 Prompt mental health care, the Norwegian version of IAPT: clinical outcomes and predictors of change in a multicenter cohort study. ES, IAPT, PMHC
52  2018 Secukinumab demonstrates high sustained efficacy and a favourable safety profile in patients with moderate-to-severe psoriasis through 5years of treatment (SCULPTURE Extension Study). DLQI, LOCF, PASI
53  2018 The HCUP SID Imputation Project: Improving Statistical Inferences for Health Disparities Research by Imputing Missing Race Data. AHA, SID
54  2018 The impact of different strategies to handle missing data on both precision and bias in a drug safety study: a multidatabase multinational population-based cohort study. AOM, BIFAP, CC, CPRD, EMRs, HRs, VTE
55  2017 A Comparison of Methods for Creating Multiple Imputations of Nominal Variables. CART, MICE
56  2017 A comparison of multiple imputation methods for handling missing values in longitudinal data in the presence of a time-varying covariate with a non-linear association with time: a simulation study. BMI, FCS, LSAC, MAR, MCAR, MVNI, two-fold FCS
57  2017 Can wastewater-based epidemiology be used to evaluate the health impact of temperature? - An exploratory study in an Australian population. PPCPs, WBE
58  2017 Efficacy and safety of ixekizumab for the treatment of moderate-to-severe plaque psoriasis: Results through 108weeks of a randomized, controlled phase 3 clinical trial (UNCOVER-3). LTE, mMI
59  2017 Efficacy of an oral health literacy intervention among Indigenous Australian adults. ---
60  2017 Estimating serum concentrations of dioxin-like compounds in the U.S. population effective 2005-2006 and 2007-2008: A multiple imputation and trending approach incorporating NHANES pooled sample data. DLCs, LODs, NHANES, TEQ
61  2017 Factors Influencing Early Feeding of Foods and Drinks Containing Free Sugars-A Birth Cohort Study. PR, SSB
62  2017 Handling missing Mini-Mental State Examination (MMSE) values: Results from a cross-sectional long-term-care study. LTCF, MCAR, MMSE
63  2017 Handling Protest Responses in Contingent Valuation Surveys. CV, QALY, WTP
64  2017 Imputation of Gait Speed for Noncompleters in the 400-Meter Walk: Application to the Lifestyle Interventions for Elders Study. LIFE
65  2017 Imputation strategies in the trauma registration. CCA, CI, Ws
66  2017 Maximum likelihood versus multiple imputation for missing data in small longitudinal samples with nonnormality. I-P, MAR, MCAR, ML, MNAR
67  2017 Methods for Imputing Missing Efficacy Data in Clinical Trials of Biologic Psoriasis Therapies: Implications for Interpretations of Trial Results. LOCF, NRI, PASI
68  2017 MIFuzzy Clustering for Incomplete Longitudinal Data in Smart Health. ---
69  2017 Missing Value Imputation Improves Mortality Risk Prediction Following Cardiac Surgery: An Investigation of an Australian Patient Cohort. CC
70  2017 Multiple imputation in the presence of non-normal data. PMM
71  2017 Multiple imputation using linked proxy outcome data resulted in important bias reduction and efficiency gains: a simulation study. ALSPAC, MNAR
72  2017 Multiple imputation was a valid approach to estimate absolute risk from a prediction model based on case-cohort data. ---
73  2017 Normal Theory Two-Stage ML Estimator When Data Are Missing at the Item Level. TSML
74  2017 On the multiple imputation variance estimator for control-based and delta-adjusted pattern mixture models. PMM
75  2017 The impact of methods to handle missing data on the estimated prevalence of dementia and mild cognitive impairment in a cross-sectional study including non-responders. HDI, IPW, MCI, OLR, SW
76  2016 A multiple imputation approach for MNAR mechanisms compatible with Heckman's model. MAR, MNAR
77  2016 A New MI-Based Visualization Aided Validation Index for Mining Big Longitudinal Web Trial Data. MIVOOS, XB
78  2016 A two-step semiparametric method to accommodate sampling weights in multiple imputation. ---
79  2016 Appropriate inclusion of interactions was needed to avoid bias in multiple imputation. CRA, NCDS
80  2016 Assessment of predictive performance in incomplete data by combining internal validation and multiple imputation. AUC
81  2016 Bayesian analysis of censored response data in family-based genetic association studies. LMM
82  2016 Bias Characterization in Probabilistic Genotype Data and Improved Signal Detection with Multiple Imputation. SNPs
83  2016 Colorectal cancer survival by stage of cases diagnosed in Mallorca, Spain, between 2006 and 2011 and factors associated with survival. ---
84  2016 Effectiveness of video- versus text-based computer-tailored smoking cessation interventions among smokers after one year. CC, CC, ITT, LSES, OR, TC, VC
85  2016 Filling gaps in notification data: a model-based approach applied to travel related campylobacteriosis cases in New Zealand. BAS, DHBs, MAR
86  2016 Fraction of Missing Information (gamma) at Different Missing Data Fractions in the 2012 NAMCS Physician Workflow Mail Survey. NAMCS, RE
87  2016 Handling missing rows in multi-omics data integration: multiple imputation in multiple factor analysis framework. MFA, RI-MFA
88  2016 How to deal with missing longitudinal data in cost of illness analysis in Alzheimer's disease-suggestions from the GERAS observational study. AD, MAR, MCAR, MNAR
89  2016 Implementation of pattern-mixture models in randomized clinical trials. RCTs
90  2016 Imputation of missing covariate values in epigenome-wide analysis of DNA methylation data. ARIC, EWAS
91  2016 Is using multiple imputation better than complete case analysis for estimating a prevalence (risk) difference in randomized controlled trials when binary outcome observations are missing? CC, MAR, MCAR, MNAR, RCTs, RD
92  2016 Methods for using clinical laboratory test results as baseline confounders in multi-site observational database studies when missing data are expected. CIs, HRs, INR, PMM, RDs
93  2016 Missing Data in Alcohol Clinical Trials with Binary Outcomes. CCA, LOCF, WCS
94  2016 Multiple Imputation based Clustering Validation (MIV) for Big Longitudinal Trial Data with Missing Values in eHealth. MIV, MIV
95  2016 Multiple Imputation for General Missing Data Patterns in the Presence of High-dimensional Data. MICE
96  2016 Multiple imputation for time series data with Amelia package. ---
97  2016 Multiple imputation in veterinary epidemiological studies: a case study and simulation. CC
98  2016 Multiple imputation of missing covariate values in multilevel models with random slopes: a cautionary note. ---
99  2016 Multiple Imputation When Rate of Change is the Outcome of Interest. ---
100  2016 Multiple imputation with multivariate imputation by chained equation (MICE) package. MICE