How can I deal with missing data in my study?
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Summary
This practice note describes patterns of missing data and how they can occur, as well describing the methods of handling them, including the advantages and disadvantages of each method as well as their availability in routine software.
- Type
- article
- Published
- 2001-10-01
- Cited by
- 1,524
- References
- 23
- OpenAlex
- https://openalex.org/W2074184525
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:25215006
Keywords
Missing data, Computer science, Data mining, Robustness (evolution), Statistics
References
- SF-36 health survey: Manual and interpretation guide
- SAS System for Mixed Models
- SOLAS for Missing Data Analysis by Statistical Solutions Ltd.: Software Review
- Modeling longitudinal and multilevel data: Practical issues, applied approaches, and specific examples.
- BMPD statistical software manual
- Missing quality of life data in cancer clinical trials: serious problems and challenges.
- Statistical Analysis With Missing Data
- Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates.
- Regression modelling strategies for improved prognostic prediction.
- The analysis of incomplete data.
- Using the general linear mixed model to analyse unbalanced repeated measures and longitudinal data.
- Indicator and stratification methods for missing explanatory variables in multiple linear regression
- Multiple imputation: a primer
- Bias from missing values: sex differences in implication of failed venepuncture for the Scottish Heart Health Study.
- A critical look at methods for handling missing covariates in epidemiologic regression analyses.
- Multiple Imputation After 18+ Years
- AMOS: Analysis of Moment Structures
- Randomised, placebo-controlled trial of carvedilol in patients with congestive heart failure due to ischaemic heart disease
- Missing quality of life data in cancer clinical trials: serious problems and challenges
- Multiple Imputation after 18+ Years
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- Assessing Women’s Career Barriers Across Racial/Ethnic Groups: The Perception of Barriers Scale
- Trait Emotional Intelligence, Coping, and Occupational Distress Among Resettlement Workers
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- Investigating Differences in Risk Behaviors Among Rural, Suburban, and Urban Adolescents
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