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Missing data assumptions and methods in a smoking cessation study
Barnes, Sunni A., Larsen, Michael D., Schroeder, Darrell, Hanson, Andrew, Decker, Paul A.
Published in Addiction (Abingdon, England) (01.03.2010)
Published in Addiction (Abingdon, England) (01.03.2010)
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Temporal Changes in Alzheimer's Disease‐Related Biomarkers in the CSF of Cognitively Normal Subjects at Different Ages: The Chongqing Ageing and Dementia Study
Li, Wei‐Wei, Fan, Dong‐Yu, Sun, Qi, Wang, Lei‐Kai, Huang, Bing‐Qiang, Yu, Zhong‐Yuan, Tian, Ding‐Yuan, Shen, Ying‐Ying, Tan, Cheng‐Rong, Zeng, Gui‐Hua, Zeng, Fan, Fan, Jin, Wang, Zhen, Wang, Yan‐Jiang, Wang, Jun
Published in Aging cell (01.06.2025)
Published in Aging cell (01.06.2025)
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Viral Genetic Linkage Analysis in the Presence of Missing Data
Liu, Shelley H., Erion, Gabriel, Novitsky, Vladimir, Gruttola, Victor De
Published in PloS one (24.08.2015)
Published in PloS one (24.08.2015)
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Assessing Representation and Perceived Inclusion Among Members of the Society for Epidemiologic Research
DeVilbiss, Elizabeth A, Weuve, Jennifer, Fink, David S, Morris, Meghan D, Arah, Onyebuchi A, Radoc, Jeannie G, Datta, Geetanjali D, Abuelezam, Nadia N, Lopez, David S, Johnson, Dayna A, Branas, Charles C, Schisterman, Enrique F, , on behalf of the Society for Epidemiologic Research Diversity and Inclusion Committee
Published in American journal of epidemiology (01.10.2020)
Published in American journal of epidemiology (01.10.2020)
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Pattern mixture models for clinical validation of biomarkers in the presence of missing data
Gao, Fei, Dong, Jun, Zeng, Donglin, Rong, Alan, Ibrahim, Joseph G.
Published in Statistics in medicine (30.08.2017)
Published in Statistics in medicine (30.08.2017)
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Self–Training With Quantile Errors for Multivariate Missing Data Imputation for Regression Problems in Electronic Medical Records: Algorithm Development Study
Gwon, Hansle, Ahn, Imjin, Kim, Yunha, Kang, Hee Jun, Seo, Hyeram, Cho, Ha Na, Choi, Heejung, Jun, Tae Joon, Kim, Young-Hak
Published in JMIR public health and surveillance (01.10.2021)
Published in JMIR public health and surveillance (01.10.2021)
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The Handling of Missing Data in Molecular Epidemiology Studies
Desai, Manisha, Kubo, Jessica, Esserman, Denise, Terry, Mary Beth
Published in Cancer epidemiology, biomarkers & prevention (01.08.2011)
Published in Cancer epidemiology, biomarkers & prevention (01.08.2011)
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Missing data frequency and correlates in two randomized surgical trials for urinary incontinence in women
Brubaker, Linda, Litman, Heather J., Kim, Hae-Young, Zimmern, Philippe, Dyer, Keisha, Kusek, John W., Richter, Holly E., Stoddard, Anne
Published in International Urogynecology Journal (01.08.2015)
Published in International Urogynecology Journal (01.08.2015)
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Linear mixed models to handle missing at random data in trial‐based economic evaluations
Gabrio, Andrea, Plumpton, Catrin, Banerjee, Sube, Leurent, Baptiste
Published in Health economics (01.06.2022)
Published in Health economics (01.06.2022)
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