Missing Data: A Gentle Introduction

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A tutorial on sensitivity analyses in clinical trials: the what, why, when and how (2013, methodology): “In these models it is assumed that missing data are MAR.”
The Consequences of Maladaptive Coping: Integrating General Strain and Self-Control Theories to Specify a Causal Pathway Between Victimization and Offending (2013, unknown): “0 (Allison 2002; Carlin et al. 2008; McKnight et al. 2007; Royston 2004, 2005).”
A survey on missing data in machine learning (2021, background): “The process of deletion can be carried out in two ways, pairwise or list-wise deletion [32].”
Multivariate Time Series Imputation with Generative Adversarial Networks (2018, methodology): “Deletion based methods erase all observations/records with missed values, including Listwise deletion [45] and Pairwise deletion [35].”
Office Discipline and Student Behavior: Does Race Matter? (2010, methodology): “First, the results (presented below) were replicated using dummy variable adjustment (Allison 2001, 9–10; McKnight et al. 2007).”
Learning to live with black bears: A psychological model of acceptance (2012, methodology): “Zajac et al. Black Bear Acceptance 1335 We used multiple regression multiple imputation to generate values for missing values in the original dataset (McKnight et al. 2007).”
Graphical Models for Inference with Missing Data (2013, methodology): “For detailed discussions we direct the reader to the books- [1, 6, 13, 17].”