Back to Search
Start Over
Pseudoscore-based estimation from biased observations
- Source :
- Statistics in Medicine. 26:2836-2852
- Publication Year :
- 2007
- Publisher :
- Wiley, 2007.
-
Abstract
- There are many practical situations where observation of the primary variable Y for individuals in a population is incomplete and depends on some auxiliary variables X that are potentially correlated with Y. We consider parameter estimation for the distribution of Y with the incomplete data, without specifying the underlying association between Y and X. The approach is based on a class of pseudoscore functions using available information of X. We demonstrate the consistency and asymptotic normality of the estimators and study their finite-sample properties in various situations via simulation. The methodology is illustrated by an example involving kindergarten readiness skills in children with sickle cell disease.
- Subjects :
- Statistics and Probability
education.field_of_study
Models, Statistical
Epidemiology
Computer science
Estimation theory
Population
Estimator
Asymptotic distribution
Anemia, Sickle Cell
Missing data
United States
Variable (computer science)
Distribution (mathematics)
Bias
Consistency (statistics)
Child, Preschool
Data Interpretation, Statistical
Statistics
Econometrics
Humans
education
Subjects
Details
- ISSN :
- 10970258 and 02776715
- Volume :
- 26
- Database :
- OpenAIRE
- Journal :
- Statistics in Medicine
- Accession number :
- edsair.doi.dedup.....1ab58c04907cababfbb34a0c5227978c