Probabilistic principal component analysis to identify profiles of physical activity behaviours in the presence of non-ignorable missing data

M Geraci, A Farcomeni - Journal of the Royal Statistical Society …, 2016 - academic.oup.com
The paper is motivated by an accelerometer-based study of physical activity (PA) behaviours
in a large cohort of UK school-aged children. Advances in research on PA are accompanied …

Probabilistic principal component analysis to identify profiles of physical activity behaviours in the presence of non-ignorable missing data

M Geraci, A Farcomeni - … the Royal Statistical Society Series C, 2016 - econpapers.repec.org
type=" main" xml: id=" rssc12105-abs-0001"> The paper is motivated by an accelerometer-
based study of physical activity (PA) behaviours in a large cohort of UK school-aged …

Probabilistic principal component analysis to identify profiles of physical activity behaviours in the presence of non‐ignorable missing data

M Geraci, A Farcomeni - Journal of the Royal Statistical Society …, 2016 - Wiley Online Library
The paper is motivated by an accelerometer‐based study of physical activity (PA)
behaviours in a large cohort of UK school‐aged children. Advances in research on PA are …

Probabilistic principal component analysis to identify profiles of physical activity behaviours in the presence of non-ignorable missing data

M Geraci, A Farcomeni - Journal of the Royal Statistical Society …, 2016 - ideas.repec.org
type=" main" xml: id=" rssc12105-abs-0001"> The paper is motivated by an accelerometer-
based study of physical activity (PA) behaviours in a large cohort of UK school-aged …

Probabilistic principal component analysis to identify profiles of physical activity behaviours in the presence of non-ignorable missing data

M Geraci, A Farcomeni - JOURNAL OF THE ROYAL STATISTICAL …, 2016 - art.torvergata.it
The paper is motivated by an accelerometer-based study of physical activity (PA) behaviours
in a large cohort of UK school-aged children. Advances in research on PA are accompanied …

Probabilistic principal component analysis to identify profiles of physical activity behaviours in the presence of non-ignorable missing data.

M Geraci, A Farcomeni - Journal of the Royal Statistical …, 2016 - search.ebscohost.com
The paper is motivated by an accelerometer-based study of physical activity (PA) behaviours
in a large cohort of UK school-aged children. Advances in research on PA are accompanied …

Probabilistic principal component analysis to identify profiles of physical activity behaviours in the presence of non-ignorable missing data

M Geraci, A Farcomeni - JOURNAL OF THE ROYAL STATISTICAL …, 2016 - iris.uniroma1.it
The paper is motivated by an accelerometer-based study of physical activity (PA) behaviours
in a large cohort of UK school-aged children. Advances in research on PA are accompanied …

Probabilistic principal component analysis to identify profiles of physical activity behaviours in the presence of non‐ignorable missing data

M Geraci, A Farcomeni - Journal of the Royal Statistical Society: Series C …, 2015 - infona.pl
The paper is motivated by an accelerometer‐based study of physical activity (PA)
behaviours in a large cohort of UK school‐aged children. Advances in research on PA are …

Probabilistic principal component analysis to identify profiles of physical activity behaviours in the presence of non-ignorable missing data.

M Geraci, A Farcomeni - 2016 - cabidigitallibrary.org
The paper is motivated by an accelerometer-based study of physical activity (PA) behaviours
in a large cohort of UK school-aged children. Advances in research on PA are accompanied …

Probabilistic principal component analysis to identify profiles of physical activity behaviours in the presence of non-ignorable missing data

M Geraci, A Farcomeni - Journal of the Royal Statistical Society: Series C …, 2016 - JSTOR
The paper is motivated by an accelerometer-based study of physical activity (PA) behaviours
in a large cohort of UK school-aged children. Advances in research on PA are accompanied …