Works matching DE "MISSING at random (Statistics)"

Results: 53

A dynamic ensemble approach to robust classification in the presence of missing data.

Published in:

Machine Learning, 2016, v. 102, n. 3, p. 443, doi. 10.1007/s10994-015-5530-z

By:

Conroy, Bryan;
Eshelman, Larry;
Potes, Cristhian;
Xu-Wilson, Minnan

Publication type:

Article

Modeling Skipped and Not-Reached Items Using IRTrees.

Published in:

Journal of Educational Measurement, 2017, v. 54, n. 3, p. 333, doi. 10.1111/jedm.12147

By:

Debeer, Dries;
Janssen, Rianne;
Boeck, Paul

Publication type:

Article

Mind the Gap: The Prospects of Missing Data.

Published in:

Journal of Graduate Medical Education, 2016, v. 8, n. 5, p. 708, doi. 10.4300/JGME-D-16-00142.1

By:

McConnell, Meghan;
Sherbino, Jonathan;
Chan, Teresa M.

Publication type:

Article

Impact of Violation of the Missing-at-Random Assumption on Full-Information Maximum Likelihood Method in Multidimensional Adaptive Testing.

Published in:

Practical Assessment, Research & Evaluation, 2014, v. 19, n. 1-4, p. 1

By:

Han, Kyung T.;
Guo, Fanmin

Publication type:

Article

Data Missingness Patterns in Homicide Datasets: An Applied Test on a Primary Data Set.

Published in:

2020

By:

Neuilly, Melanie-Angela;
Hsieh, Ming-Li;
Kigerl, Alex;
Hamilton, Zachary K.

Publication type:

journal article

A Guide to Handling Missing Data in Cost-Effectiveness Analysis Conducted Within Randomised Controlled Trials.

Published in:

PharmacoEconomics, 2014, v. 32, n. 12, p. 1157, doi. 10.1007/s40273-014-0193-3

By:

Faria, Rita;
Gomes, Manuel;
Epstein, David;
White, Ian

Publication type:

Article

Estimating Incremental Validity Under Missing Data.

Published in:

Multivariate Behavioral Research, 2017, v. 52, n. 2, p. 164, doi. 10.1080/00273171.2016.1259099

By:

Fife, Dustin A.;
Mendoza, Jorge L.;
Berry, Christopher M.

Publication type:

Article

A Cautious Note on Auxiliary Variables That Can Increase Bias in Missing Data Problems.

Published in:

Multivariate Behavioral Research, 2014, v. 49, n. 5, p. 443, doi. 10.1080/00273171.2014.931799

By:

Thoemmes, Felix;
Rose, Norman

Publication type:

Article

Missing Data: A Unified Taxonomy Guided by Conditional Independence.

Published in:

International Statistical Review, 2018, v. 86, n. 2, p. 189, doi. 10.1111/insr.12242

By:

Doretti, Marco;
Geneletti, Sara;
Stanghellini, Elena

Publication type:

Article

On analysis of longitudinal clinical trials with missing data using reference-based imputation.

Published in:

Journal of Biopharmaceutical Statistics, 2016, v. 26, n. 5, p. 924, doi. 10.1080/10543406.2015.1094810

By:

Liu, G. Frank;
Pang, Lei

Publication type:

Article

Simulation-Based Study Comparing Multiple Imputation Methods for Non-Monotone Missing Ordinal Data in Longitudinal Settings.

Published in:

Journal of Biopharmaceutical Statistics, 2015, v. 25, n. 3, p. 570, doi. 10.1080/10543406.2014.920864

By:

Donneau, A. F.;
Mauer, M.;
Lambert, P.;
Molenberghs, G.;
Albert, A.

Publication type:

Article

Robust location estimation with missing data.

Published in:

Canadian Journal of Statistics, 2013, v. 41, n. 1, p. 111, doi. 10.1002/cjs.11163

By:

Sued, Mariela;
Yohai, Victor J.

Publication type:

Article

Longitudinal quality of life data: a comparison of continuous and ordinal approaches.

Published in:

Quality of Life Research, 2014, v. 23, n. 10, p. 2873, doi. 10.1007/s11136-014-0730-8

By:

Donneau, A.;
Mauer, M.;
Coens, C.;
Bottomley, A.;
Albert, A.

Publication type:

Article

Testing treatment effect in schizophrenia clinical trials with heavy patient dropout using latent class growth mixture models.

Published in:

Pharmaceutical Statistics, 2016, v. 15, n. 4, p. 349, doi. 10.1002/pst.1750

By:

Kong, Fanhui;
Chen, Yeh‐Fong

Publication type:

Article

GMM with Multiple Missing Variables.

Published in:

Journal of Applied Econometrics, 2016, v. 31, n. 4, p. 678, doi. 10.1002/jae.2444

By:

Chaudhuri, Saraswata;
Guilkey, David K.

Publication type:

Article

A trivariate meta-analysis of diagnostic studies accounting for prevalence and non-evaluable subjects: re-evaluation of the meta-analysis of coronary CT angiography studies.

Published in:

BMC Medical Research Methodology, 2014, v. 14, n. 1, p. 1, doi. 10.1186/1471-2288-14-128

By:

Xiaoye Ma;
Suri, Muhammad Fareed K.;
Haitao Chu

Publication type:

Article

Alternative analyses for handling incomplete follow-up in the intention-to-treat analysis: the randomized controlled trial of balloon kyphoplasty versus non-surgical care for vertebral compression fracture (FREE).

Published in:: BMC Medical Research Methodology, 2012, v. 12, n. 1, p. 35, doi. 10.1186/1471-2288-12-35
Publication type:: Article

Time-Course Gene Set Analysis for Longitudinal Gene Expression Data.

Published in:

PLoS Computational Biology, 2015, v. 11, n. 6, p. 1, doi. 10.1371/journal.pcbi.1004310

By:

Hejblum, Boris P.;
Skinner, Jason;
Thiébaut, Rodolphe

Publication type:

Article

Missing covariates in competing risks analysis.

Published in:

2016

By:

BARTLETT, JONATHAN W.;
TAYLOR, JEREMY M. G.

Publication type:

journal article

Multiple robustness in factorized likelihood models.

Published in:

Biometrika, 2017, v. 104, n. 3, p. 561, doi. 10.1093/biomet/asx027

By:

MOLINA, J.;
ROTNITZKY, A.;
SUED, M.;
ROBINS, J. M.

Publication type:

Article

Conditional moment models with data missing at random.

Published in:

Biometrika, 2017, v. 104, n. 3, p. 735, doi. 10.1093/biomet/asx025

By:

HRISTACHE, M.;
PATILEA, V.

Publication type:

Article

Estimation of mean response via the effective balancing score.

Published in:

Biometrika, 2014, v. 101, n. 3, p. 613

By:

Hu, Zonghui;
Follmann, Dean A.;
Wang, Naisyin

Publication type:

Article

Application of sensitivity analysis to incomplete longitudinal CD4 count data.

Published in:

Journal of Applied Statistics, 2019, v. 46, n. 4, p. 754, doi. 10.1080/02664763.2018.1510476

By:

Iddrisu, Abdul-Karim;
Gumedze, Freedom

Publication type:

Article

Systematic handling of missing data in complex study designs – experiences from the Health 2000 and 2011 Surveys.

Published in:

Journal of Applied Statistics, 2016, v. 43, n. 15, p. 2772, doi. 10.1080/02664763.2016.1144725

By:

Härkänen, Tommi;
Karvanen, Juha;
Tolonen, Hanna;
Lehtonen, Risto;
Djerf, Kari;
Juntunen, Teppo;
Koskinen, Seppo

Publication type:

Article

Robust estimation of mean and covariance for longitudinal data with dropouts.

Published in:

Journal of Applied Statistics, 2015, v. 42, n. 6, p. 1240, doi. 10.1080/02664763.2014.999033

By:

Qin, Guoyou;
Zhu, Zhongyi

Publication type:

Article

An index of local sensitivity to non-ignorability for parametric survival models with potential non-random missing covariate: an application to the SEER cancer registry data.

Published in:

Journal of Applied Statistics, 2012, v. 39, n. 11, p. 2327, doi. 10.1080/02664763.2012.710196

By:

Mahabadi, S.Eftekhari;
Ganjali, M.

Publication type:

Article

Conditions for Ignoring the Missing-Data Mechanism in Likelihood Inferences for Parameter Subsets.

Published in:

Journal of the American Statistical Association, 2017, v. 112, n. 517, p. 314, doi. 10.1080/01621459.2015.1136826

By:

Little, Roderick J.;
Rubin, Donald B.;
Zangeneh, Sahar Z.

Publication type:

Article

A Flexible Bayesian Approach to Monotone Missing Data in Longitudinal Studies With Nonignorable Missingness With Application to an Acute Schizophrenia Clinical Trial.

Published in:

Journal of the American Statistical Association, 2015, v. 110, n. 509, p. 45, doi. 10.1080/01621459.2014.969424

By:

Linero, Antonio R.;
Daniels, Michael J.

Publication type:

Article

An Experimental Study on the Effect of Brand and Brand Extension on Omission Neglect.

Published in:

Journal of International Consumer Marketing, 2014, v. 26, n. 3, p. 201, doi. 10.1080/08961530.2014.888963

By:

Lopes, Evandro Luiz;
da Silva, Dirceu;
Hernandez, José Mauro da Costa

Publication type:

Article

Missingness.

Published in:

2017

By:

Bangdiwala, Shrikant I.

Publication type:

journal article

Multiple imputation for non-response when estimating HIV prevalence using survey data.

Published in:

2015

By:

Chinomona, Amos;
Mwambi, Henry

Publication type:

journal article

IMPUTATION UNDER INFORMATIVE SAMPLING.

Published in:

Journal of Survey Statistics & Methodology, 2016, v. 4, n. 4, p. 436, doi. 10.1093/jssam/smw032

By:

BERG, EMILY;
JAE-KWANG KIM;
SKINNER, CHRIS

Publication type:

Article

Comparison of Different LGM-Based Methods with MAR and MNAR Dropout Data.

Published in:

Frontiers in Psychology, 2017, v. 8, p. 1, doi. 10.3389/fpsyg.2017.00722

By:

Meijuan Li;
Nan Chen;
Yang Cui;
Hongyun Liu

Publication type:

Article

Doubly robust estimation of generalized partial linear models for longitudinal data with dropouts.

Published in:

Biometrics, 2017, v. 73, n. 4, p. 1132, doi. 10.1111/biom.12703

By:

Lin, Huiming;
Fu, Bo;
Qin, Guoyou;
Zhu, Zhongyi

Publication type:

Article

Pattern Mixture Models for the Analysis of Repeated Attempt Designs.

Published in:

Biometrics, 2015, v. 71, n. 4, p. 1160, doi. 10.1111/biom.12353

By:

Daniels, Michael J.;
Jackson, Dan;
Feng, Wei;
White, Ian R.

Publication type:

Article

Direct likelihood inference and sensitivity analysis for competing risks regression with missing causes of failure.

Published in:

Biometrics, 2015, v. 71, n. 2, p. 498, doi. 10.1111/biom.12295

By:

Moreno‐Betancur, Margarita;
Rey, Grégoire;
Latouche, Aurélien

Publication type:

Article

Semiparametric approach for non-monotone missing covariates in a parametric regression model.

Published in:

Biometrics, 2014, v. 70, n. 2, p. 299, doi. 10.1111/biom.12159

By:

Sinha, Samiran;
Saha, Krishna K.;
Wang, Suojin

Publication type:

Article

Identification of causal effects in the presence of nonignorable missing outcome values.

Published in:

Biometrics, 2014, v. 70, n. 2, p. 278, doi. 10.1111/biom.12136

By:

Mattei, Alessandra;
Mealli, Fabrizia;
Pacini, Barbara

Publication type:

Article

Nearest-Neighbor Estimation for ROC Analysis under Verification Bias.

Published in:

International Journal of Biostatistics, 2015, v. 11, n. 1, p. 109, doi. 10.1515/ijb-2014-0014

By:

Adimari, Gianfranco;
Chiogna, Monica

Publication type:

Article

A Simulation Study Comparing Two Methods of Handling Missing Covariate Values when Fitting a Cox Proportional- Hazards Regression Model.

Published in:

Statistika: Statistics & Economy Journal, 2014, v. 94, n. 1, p. 64

By:

Satty, Ali

Publication type:

Article

Comparison of Missing Data Analysis Methods in Cox Proportional Hazard Models.

Published in:

Turkiye Klinikleri Journal of Biostatistics, 2013, v. 5, n. 2, p. 49

By:

ALKAN, Nesrin;
TERZİ, Yüksel;
CENGİZ, M. Ali;
ALKAN, B. Barış

Publication type:

Article

Relative efficiency of joint-model and full-conditional-specification multiple imputation when conditional models are compatible: The general location model.

Published in:

2018

By:

Seaman, Shaun R.;
Hughes, Rachael A.

Publication type:

journal article

On random sample size, ignorability, ancillarity, completeness, separability, and degeneracy: Sequential trials, random sample sizes, and missing data.

Published in:

Statistical Methods in Medical Research, 2014, v. 23, n. 1, p. 11, doi. 10.1177/0962280212445801

By:

Molenberghs, Geert;
Kenward, Michael G;
Aerts, Marc;
Verbeke, Geert;
Tsiatis, Anastasios A;
Davidian, Marie;
Rizopoulos, Dimitris

Publication type:

Article

On weighting approaches for missing data.

Published in:

Statistical Methods in Medical Research, 2013, v. 22, n. 1, p. 14, doi. 10.1177/0962280211403597

By:

Li, Lingling;
Shen, Changyu;
Li, Xiaochun;
Robins, James M

Publication type:

Article

Nonparametric regression with missing data.

Published in:

WIREs: Computational Statistics, 2014, v. 6, n. 4, p. 265, doi. 10.1002/wics.1303

By:

Efromovich, Sam

Publication type:

Article

Examining missing data mechanisms via homogeneity of parameters, homogeneity of distributions, and multivariate normality.

Published in:

WIREs: Computational Statistics, 2014, v. 6, n. 1, p. 56, doi. 10.1002/wics.1287

By:

Jamshidian, Mortaza;
Yuan, Ke‐Hai

Publication type:

Article

On Enhancing Plausibility of the Missing at Random Assumption in Incomplete Data Analyses via Evaluation of Response-Auxiliary Variable Correlations.

Published in:

Structural Equation Modeling, 2016, v. 23, n. 1, p. 45, doi. 10.1080/10705511.2014.937848

By:

Raykov, Tenko;
West, Brady T.

Publication type:

Article

Residual Associations in Latent Class and Latent Transition Analysis.

Published in:

Structural Equation Modeling, 2015, v. 22, n. 2, p. 169, doi. 10.1080/10705511.2014.935844

By:

Asparouhov, Tihomir;
Muthén, Bengt

Publication type:

Article

Bias and Efficiency for SEM With Missing Data and Auxiliary Variables: Two-Stage Robust Method Versus Two-Stage ML.

Published in:

Structural Equation Modeling, 2015, v. 22, n. 2, p. 178, doi. 10.1080/10705511.2014.935750

By:

Yuan, Ke-Hai;
Tong, Xin;
Zhang, Zhiyong

Publication type:

Article

Examining Measure Correlations With Incomplete Data Sets.

Published in:

Structural Equation Modeling, 2014, v. 21, n. 2, p. 318, doi. 10.1080/10705511.2014.882696

By:

Raykov, Tenko;
Schneider, Brooke C.;
Marcoulides, George A.;
Lichtenberg, Peter A.

Publication type:

Article