EM-T2BMJ Quality & Safety202332(12): 742-749Handling missing values in the analysis of between-hospital differences in ordinal and dichotomous outcomes: a simulation studyReinier C A van Linschoten, Marzyeh Amini, Nikki van Leeuwen, Frank Eijkenaar 等 14 人被引 5阅读 3基金开放获取统计与概率
A+Information Systems ResearchUTD24FT50202234(1): 5-26Handling Missing Values in Information Systems Research: A Review of Methods and AssumptionsJiaxu Peng, Jungpil Hahn, Ke‐Wei Huang被引 50阅读 3高影响力 前 10%统计与概率
EM-WoSExpert Systems with Applications2024249: 123654-123654Imputation of data Missing Not at Random: Artificial generation and benchmark analysisRicardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues, Mário A. T. Figueiredo被引 70高影响力 前 1%基金开放获取统计与概率
EM-T3Pharmacoepidemiology and Drug Safety201625(7): 798-814Methods for using clinical laboratory test results as baseline confounders in multi‐site observational database studies when missing data are expectedMarsha A. Raebel, Susan M. Shetterly, Christine Y. Lu, James Flory 等 14 人被引 14阅读 3基金统计与概率
EM-T3Pharmacoepidemiology and Drug Safety202130(7): 819-826综述A systematic review of how missing data are handled and reported in multi‐database pharmacoepidemiologic studiesNicholas B. Hunt, Helga Gardarsdóttir, Marloes T. Bazelier, Olaf H. Klungel 等 5 人被引 24阅读 2基金开放获取统计与概率
EM-T2BMC Public Health201515(1): 1059-1059Multiple imputation for non-response when estimating HIV prevalence using survey dataAmos Chinomona, Henry Godwell Mwambi被引 30阅读 2基金开放获取统计与概率
EM-T2BMC Public Health201818(S2): 1046-1046An exploratory analysis of missing data from the Royal Bank of Canada (RBC) Learn to Play – Canadian Assessment of Physical Literacy (CAPL) projectChristine Delisle Nyström, Joel D. Barnes, Mark Stephen Tremblay被引 21阅读 1基金开放获取统计与概率
EM-T3Drug Safety202447(12): 1245-1263Examining the Effect of Missing Data and Unmeasured Confounding on External Comparator Studies: Case Studies and SimulationsGerd Rippin, Héctor Sanz, Wilhelmina E. Hoogendoorn, Nicolás M. Ballarini 等 11 人被引 5阅读 2基金开放获取统计与概率
EM-T3Pharmacoepidemiology and Drug Safety201828(4): 439-442Considerations in characterizing real‐world data relevance and quality for regulatory purposes: A commentaryCynthia J. Girman, Mary E. Ritchey, Wei Zhou, Nancy A Dreyer被引 38阅读 3高影响力 前 10%开放获取毒理学
EM-WoSExpert Systems with Applications2025275: 127001-127001TMF-GNN: Temporal matrix factorization-based graph neural network for multivariate time series forecasting with missing valuesSuhyeon Kim, Taek-Ho Lee, Junghye Lee被引 14阅读 1高影响力 前 10%基金开放获取信号处理金融风险与机器学习
EM-T3Pharmacoepidemiology and Drug Safety201524(5): 504-509Missing laboratory test data in electronic general practice records: analysis of rheumatoid factor recording in the clinical practice research datalinkCormac Sammon, Anne Miller, Kamal Ram Mahtani, Tim Holt 等 7 人被引 7阅读 2基金开放获取健康信息管理
EM-WoSInformation Sciences2022609: 1271-1287Combining attention with spectrum to handle missing values on time series data without imputationYen-Pin Chen, Yen-Pin Chen, Chien‐Hua Huang, Yuan–Hsun Lo 等 7 人被引 19基金开放获取人工智能
EM-WoSInformation Sciences2025717: 122322-122322Detecting abrupt changes in missing time series dataMaximilian Toller, Bernhard Claus Geiger, Roman Kern被引 2阅读 1基金开放获取人工智能
EM-WoSInformation Sciences2021571: 418-442Clustering mixed numerical and categorical data with missing valuesDuy-Tai Dinh, Van‐Nam Huynh, Songsak Sriboonchitta被引 110阅读 2高影响力 前 10%基金开放获取人工智能
EM-T3European Journal of Trauma and Emergency Surgery202652(1)Prediction of risk of death in severely injured patients: the revised injury severity classification score, version 3 (RISC III)Rolf L. Lefering, Sebastian Imach, Dan Bieler被引 4阅读 6高影响力 前 1%开放获取急诊医学
EM-T2BMC Public Health202525(1): 3379-3379Exploring the impact of missing data on maternal tobacco program results: an analysis of self-efficacy on smoking cessationMengting Zhao, Benjamin Langworthy被引 0基金开放获取生理学
EM-T2Journal of Patient Safety201917(2): e98-e106Managing Missing Data in the Hospital Survey on Patient Safety Culture: A Simulation StudyBastien Boussat, Olivier François, Julien Viotti, Arnaud Seigneurin 等 7 人被引 17阅读 2基金统计与概率
EM-T3Pharmacoepidemiology and Drug Safety202433(12): e70060-e70060Handling With Vaccine Type Missing Data in a Dynamic Cohort to Assess the Link Between Time‐Varying Vaccination and an Autoimmune DiseaseBelén Castillo‐Cano, Marc Comas‐Cufí, Elisa Martín‐Merino被引 0阅读 2基金统计与概率
EM-T2BMC Public Health201919(1): 857-857Using ecological socioeconomic position (SEP) measures to deal with sample bias introduced by incomplete individual-level measures: inequalities in breast cancer stage at diagnosis as an exampleSébastien Lamy, Florence Molinié, Laëtitia Daubisse‐Marliac, Anne Cowppli‐Bony 等 9 人被引 16阅读 2基金开放获取肿瘤学
EM-T2BMC Public Health201616(1): 453-453Association of missing paternal demographics on infant birth certificates with perinatal risk factors for childhood obesityErika Rose Cheng, Summer Sherburne Hawkins, Sheryl L. Rifas‐Shiman, Matthew W. Gillman 等 5 人被引 181阅读 1高影响力 前 10%基金开放获取公共卫生、环境与职业健康