ArticleStatistics and its interface2022
The more data, the better? Demystifying deletion-based methods in linear regression with missing data.
Article in Statistics and its interface, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- Bayesian Estimation of Marginal Quantiles with Missing Data in a Multivariate Regression Framework.Entropy (Basel, Switzerland) · 2026Article
- The integration of the Italian Rehabilitation Complexity Scale in the assessment of patients admitted to different levels of care in public and private accredited settings and belonging to the main rehabilitative MDCs: a national experience.European journal of physical and rehabilitation medicine · 2026Observational
- Temporal Dynamic Machine Learning Prediction of Postoperative Gastrointestinal Dysfunction Duration in Esophageal Cancer: Integrating Preoperative and Perioperative Routine Blood Temporal Data and Dynamic Ultrasonic Features.International journal of general medicine · 2026Article
- Bidirectional Longitudinal Associations Among Health-Related Quality of Life, Emotional Expressivity, and Readiness to Return to Work in Patients with Non-Muscle-Invasive Bladder Cancer Receiving Intravesical Therapy: A Three-Wave Cohort Study.Patient preference and adherence · 2026Article
- MMPro-HIP: multimodal progressive fusion model for elderly HIP fracture risk prediction.Frontiers in medicine · 2026Article
- Investigating heterogeneous effects of an expanded methadone access policy with opioid treatment program retention: a Rhode Island population-based retrospective cohort study.American journal of epidemiology · 2025Article
- Transcutaneous Kilohertz High-Frequency Alternating Current at 10 kHz for Upper-Limb Tremor in People with Parkinson's Disease: A Double-Blind, Randomized, Crossover Study.Journal of clinical medicine · 2024Article
- TENSOR REGRESSION FOR INCOMPLETE OBSERVATIONS WITH APPLICATION TO LONGITUDINAL STUDIES.The annals of applied statistics · 2024Article
- A risk-scoring model based on endobronchial ultrasound multimodal imaging for predicting metastatic lymph nodes in lung cancer patients.Endoscopic ultrasoundArticle
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3 authors.
Funding
Abstract
We compare two deletion-based methods for dealing with the problem of missing observations in linear regression analysis. One is the complete-case analysis (CC, or listwise deletion) that discards all incomplete observations and only uses common samples for ordinary least-squares estimation. The other is the available-case analysis (AC, or pairwise deletion) that utilizes all available data to estimate the covariance matrices and applies these matrices to construct the normal equation. We show that the estimates from both methods are asymptotically unbiased under missing completely at random (MCAR) and further compare their asymptotic variances in some typical situations. Surprisingly, using more data (i.e., AC) does not necessarily lead to better asymptotic efficiency in many scenarios. Missing patterns, covariance structure and true regression coefficient values all play a role in determining which is better. We further conduct simulation studies to corroborate the findings and demystify what has been missed or misinterpreted in the literature. Some detailed proofs and simulation results are available in the online supplemental materials.
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