Y K Tu
Biographic Data
| ID | 6159220 |
|---|---|
| NAME | Y K Tu |
| GIVEN NAMES | Y K |
| FAMILY NAME | Tu |
| SIGNATURE | TU Y K |
| AFFILIATIONS | National Taiwan University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2013 |
| H-INDEX | 0 |
PP33 A N Age-Period-Cohort Analysis for Trends in Body Mass Index in the Republic of Ireland in 18,016 Participants in Slan (Surveys of Lifestyle, Attitudes and Nutrition) 1998-2007
Background Obesity has increased in prevalence worldwide in the last 20 years and is associated with a variety of adverse health outcomes. It is valuable to examine these trends in relation to age, period and birth cohort, in conjunction with several evolving environmental factors. Age-period-cohort (APC) analysis is a popular analytic approach, since knowing the separate effects of age, period and cohort allows for a better understanding of the …
P1-57 Using partial least squares regression for the age-period-cohort analysis
Background Identification has been a problem with the Age-Period-Cohort analysis. Since Age + Cohort = Period, there is no unique solution using generalised linear modelling. To overcome this problem of perfect collinearity we propose to use partial least squares regression (PLSR), a dimension-reduction technique widely used in bioinformatics. Data from a large Taiwanese cohort was used to illustrate our approach. Methods PLSR is a set of algorit…
No prominent works on this page.
P1-57 Using partial least squares regression for the age-period-cohort analysis
Background Identification has been a problem with the Age-Period-Cohort analysis. Since Age + Cohort = Period, there is no unique solution using generalised linear modelling. To overcome this problem of perfect collinearity we propose to use partial least squares regression (PLSR), a dimension-reduction technique widely used in bioinformatics. Data from a large Taiwanese cohort was used to illustrate our approach. Methods PLSR is a set of algorit…
PP33 A N Age-Period-Cohort Analysis for Trends in Body Mass Index in the Republic of Ireland in 18,016 Participants in Slan (Surveys of Lifestyle, Attitudes and Nutrition) 1998-2007
Background Obesity has increased in prevalence worldwide in the last 20 years and is associated with a variety of adverse health outcomes. It is valuable to examine these trends in relation to age, period and birth cohort, in conjunction with several evolving environmental factors. Age-period-cohort (APC) analysis is a popular analytic approach, since knowing the separate effects of age, period and cohort allows for a better understanding of the …
Body mass index (2 works) · Cohort (2 works) · Demography (2 works) · Internal Medicine (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Birth, Development, and Health (1 work) · Cardiovascular Health and Risk Factors (1 work) · Cohort effect (1 work) · Cohort study (1 work)