SAR Imaging Method for Moving Target With Azimuth Missing Data by Nan Jiang, Jian Wang, Dong Feng, Naixin Kang, Xiaotao Huang

Subjects: “…Azimuth missing data (AMD)…”
Get full text

An Imaging Algorithm for Multi-Channel SAR Azimuth Missing Data by Wei Song, Yonghong Yao

Subjects: Get full text

Can IRT solve the missing data problem in test equating? by Maria eBolsinova, Maria eBolsinova, Gunter eMaris, Gunter eMaris

Subjects: Get full text

Normalized Information Criteria and Model Selection in the Presence of Missing Data by Nitzan Cohen, Yakir Berchenko

Subjects: “…missing data…”
Get full text

Edge-Based Missing Data Imputation in Large-Scale Environments by Davide Andrea Guastella, Guilhem Marcillaud, Cesare Valenti

Subjects: Get full text

Missing Data in Regression Models for Non-Commensurate Multiple Outcomes by Armando Teixeira-Pinto, Sharon-Lise Normand

Subjects: Get full text

Selecting additional tag SNPs for tolerating missing data in genotyping by Chen Ting, Zhang Kui, Huang Yao-Ting, Chao Kun-Mao

“…The experimental results indicate that (1) the solutions found by these algorithms are quite close to the optimal solution; (2) the genotyping cost saved by using tag SNPs can be as high as 80%; and (3) genotyping additional tag SNPs for tolerating missing data is still cost-effective.</p> <p>Conclusion</p> <p>Genotyping robust tag SNPs is more practical than just genotyping the minimum tag SNPs if we can not avoid the occurrence of missing data. …”
Get full text

Methods and implications of addressing missing data in health-care research by Varun Agiwal, Sirshendu Chaudhuri

Subjects: Get full text

Methodological approaches for imputing missing data into monthly flows series by Michel Trarbach Bleidorn, Wanderson de Paula Pinto, Isamara Maria Schmidt, Antonio Sergio Ferreira Mendonça, José Antonio Tosta dos Reis

Subjects: Get full text

Evaluating Performance of Missing Data Imputation Methods in IRT Analyses by Ömür Kaya Kalkan, Yusuf Kara, Hülya Kelecioğlu

Subjects: “…missing data…”
Get full text

Unmanned aerial vehicles trajectory analysis considering missing data by Bo Wang, Volodymyr Kharchenko, Alexander Kukush, Nataliia Kuzmenko

“…Researches very often deal with the problem of missing data. This issue is caused by impossibility of data obtaining, its distortion or concealment. …”
Get full text

From predictive methods to missing data imputation: An optimization approach by Bertsimas, Dimitris J, Pawlowski, Colin., Zhuo, Ying Daisy

“…Missing data is a common problem in real-world settings and for this reason has attracted significant attention in the statistical literature. …”
Get full text

Addressing Deficiencies from Missing Data in Electronic Health Records by Zhou, Tianqi

“…The proposed imputation system can also address the deficiencies from the missing data of EHR as it enables robust clinical prediction over a variety of missing rates, on two large-scale clinical prediction tasks.…”
Get full text

Low-dimensional models for missing data imputation in road networks by Asif, Muhammad Tayyab, Mitrovic, Nikola, Garg, Lalit, Dauwels, Justin H. G., Jaillet, Patrick

“…However, field data is usually quite sparse. This problem of missing data severely limits the effectiveness of ITS. …”
Get full text
Get full text

Handling missing data in medical questionnaires : a comparative study by Woon, Eric Sing Yong.

“…Missing Data plagues almost all researchers’ surveys or designed experiments. …”
Get full text

Handling of missing data in medical questionnaires : a comparitive study by Malhotra, Parul.

“…These surveys and questionnaires are, however, prone to missing data. The objective of this report is to understand the types of missing data that researchers often come across, and furthermore, to comprehend the previous works done on handling missing data in these questionnaires. …”
Get full text

Deriving information from missing data: implications for mood prediction by Wu, Y, Lyons, TJ, Saunders, KEA

“…This was significantly more efficient than the naive model which excluded missing data. Accuracies of predicting subsequent mood states and scores were also improved by inclusion of missing responses. …”

Nuisance mediators and missing data in mediation analyses of pain trials by Lee, H

“…This commentary focuses on two issues: the need for mediation analyses to explain why treatments do not work, and the misreporting of missing data in mediation analyses.…”

Analysis of multilocus fingerprinting data sets containing missing data by Schlueter, P, Harris, S

“…Data sets containing missing data have been analysed by eliminating those bands or samples with missing data, assigning values to missing data or ignoring the problem. …”

Intention to treat analysis in clinical trials when there are missing data. by Streiner, D, Geddes, J