Fitting semiparametric random effects models to large data sets.
Publication
, Journal Article
Pennell, ML; Dunson, DB
Published in: Biostatistics (Oxford, England)
October 2007
For large data sets, it can be difficult or impossible to fit models with random effects using standard algorithms due to memory limitations or high computational burdens. In addition, it would be advantageous to use the abundant information to relax assumptions, such as normality of random effects. Motivated by data from an epidemiologic study of childhood growth, we propose a 2-stage method for fitting semiparametric random effects models to longitudinal data with many subjects. In the first stage, we use a multivariate clustering method to identify G<
Duke Scholars
Published In
Biostatistics (Oxford, England)
DOI
EISSN
1468-4357
ISSN
1465-4644
Publication Date
October 2007
Volume
8
Issue
4
Start / End Page
821 / 834
Related Subject Headings
- Weight Gain
- Tobacco Smoke Pollution
- Statistics & Probability
- Monte Carlo Method
- Models, Statistical
- Markov Chains
- Longitudinal Studies
- Infant, Newborn
- Infant
- Humans
Citation
APA
Chicago
ICMJE
MLA
NLM
Pennell, M. L., & Dunson, D. B. (2007). Fitting semiparametric random effects models to large data sets. Biostatistics (Oxford, England), 8(4), 821–834. https://doi.org/10.1093/biostatistics/kxm008
Pennell, Michael L., and David B. Dunson. “Fitting semiparametric random effects models to large data sets.” Biostatistics (Oxford, England) 8, no. 4 (October 2007): 821–34. https://doi.org/10.1093/biostatistics/kxm008.
Pennell ML, Dunson DB. Fitting semiparametric random effects models to large data sets. Biostatistics (Oxford, England). 2007 Oct;8(4):821–34.
Pennell, Michael L., and David B. Dunson. “Fitting semiparametric random effects models to large data sets.” Biostatistics (Oxford, England), vol. 8, no. 4, Oct. 2007, pp. 821–34. Epmc, doi:10.1093/biostatistics/kxm008.
Pennell ML, Dunson DB. Fitting semiparametric random effects models to large data sets. Biostatistics (Oxford, England). 2007 Oct;8(4):821–834.
Published In
Biostatistics (Oxford, England)
DOI
EISSN
1468-4357
ISSN
1465-4644
Publication Date
October 2007
Volume
8
Issue
4
Start / End Page
821 / 834
Related Subject Headings
- Weight Gain
- Tobacco Smoke Pollution
- Statistics & Probability
- Monte Carlo Method
- Models, Statistical
- Markov Chains
- Longitudinal Studies
- Infant, Newborn
- Infant
- Humans