Wendy J Harrison
Biographic Data
| ID | 6167458 |
|---|---|
| NAME | Wendy J Harrison |
| GIVEN NAMES | Wendy J |
| FAMILY NAME | Harrison |
| SIGNATURE | HARRISON W J |
| AFFILIATIONS | University of Leeds |
| ORCID | 0000-0003-1180-8112 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2013 |
| H-INDEX | 0 |
OP52 Multilevel Latent Class Modelling of Colorectal Cancer Survival Status and Socioeconomic Background
Background Many factors influence survival from colorectal cancer, including stage of diagnosis, treatment centre, and associated risk factors such as age, sex and socioeconomic background (SEB). Previous studies have typically considered stage of disease as a potential confounder. Stage however may lie on the causal path between SEB and survival. Statistical adjustment for stage as a confounder can therefore introduce interpretational difficulti…
Randomised cluster trial to support informed parental decision-making for the MMR vaccine
Whilst both the leaflet and the parent meeting reduced parents' decisional conflict, the parent meeting appeared to enable parents to act upon their decision leading to vaccination uptake
P1-476 An assessment of the concentration-related prognostic value of cardiac troponin I in 1285 patients following acute coronary syndrome
Introduction The British Cardiac Society, in 2004, redefined myocardial infarction by troponin concentration: cTnI ≤0.06 μg/l (unstable angina), cTnI >0.06 μg/l to 0.06 and 80 years (3.30, 3.50 to 5.06), peripheral vascular disease (1.50, 1.16 to 1.94), heart failure (1.36, 1.05 to 1.83), diabetes (1.68, 1.36 to 2.07), severe LV dysfunction (1.50, 1.00 to 2.21) and creatinine per 10 μmol/l (1.65, 1.02 to 1.08), whereas ages 50 to 60 years (0.55, …
P1-440 Latent class analysis of student substance use
Introduction Data were collected from a student population to investigate how substance use is related to perceived substance use of friends and the wider University population, during the period February to May 2009. The outcome measure was use of any of nine substances in the previous 3 months, giving differing patterns of use (trajectories) for each student. 4309 students were available for analysis. Methods We used latent class analysis (LCA)…
Latent class modelling of the association between socioeconomic background and breast cancer survival status at 5 years incorporating stage of disease
BACKGROUND: Stage of disease and socioeconomic background (SEB) are often used to 'explain' differences in breast cancer outcomes. There are challenges for all types of analysis (eg, survival analysis, logistic regression), including missing data, measurement error and the 'reversal paradox'. This study investigates the association between SEB and survival status within 5 years of breast cancer diagnosis using (1) logistic regression with and wit…
Longitudinal latent class analysis of alcohol consumption
0.72, for girls 5.5 vs 7.7%, OR 0.72) scores compared with those born to abstainers. For boys the association for total difficulties remained statistically significant in fully adjusted models. Boys born to light drinkers had higher mean cognitive test scores compared to those born to abstainers: Naming Vocabulary (58 vs 55), Picture Similarities (56 vs 55), and Pattern Construction (52 vs 50) and the differences for Naming Vocabulary and Picture…
No prominent works on this page.
Longitudinal latent class analysis of alcohol consumption
0.72, for girls 5.5 vs 7.7%, OR 0.72) scores compared with those born to abstainers. For boys the association for total difficulties remained statistically significant in fully adjusted models. Boys born to light drinkers had higher mean cognitive test scores compared to those born to abstainers: Naming Vocabulary (58 vs 55), Picture Similarities (56 vs 55), and Pattern Construction (52 vs 50) and the differences for Naming Vocabulary and Picture…
Latent class modelling of the association between socioeconomic background and breast cancer survival status at 5 years incorporating stage of disease
BACKGROUND: Stage of disease and socioeconomic background (SEB) are often used to 'explain' differences in breast cancer outcomes. There are challenges for all types of analysis (eg, survival analysis, logistic regression), including missing data, measurement error and the 'reversal paradox'. This study investigates the association between SEB and survival status within 5 years of breast cancer diagnosis using (1) logistic regression with and wit…
Randomised cluster trial to support informed parental decision-making for the MMR vaccine
Whilst both the leaflet and the parent meeting reduced parents' decisional conflict, the parent meeting appeared to enable parents to act upon their decision leading to vaccination uptake
P1-476 An assessment of the concentration-related prognostic value of cardiac troponin I in 1285 patients following acute coronary syndrome
Introduction The British Cardiac Society, in 2004, redefined myocardial infarction by troponin concentration: cTnI ≤0.06 μg/l (unstable angina), cTnI >0.06 μg/l to 0.06 and 80 years (3.30, 3.50 to 5.06), peripheral vascular disease (1.50, 1.16 to 1.94), heart failure (1.36, 1.05 to 1.83), diabetes (1.68, 1.36 to 2.07), severe LV dysfunction (1.50, 1.00 to 2.21) and creatinine per 10 μmol/l (1.65, 1.02 to 1.08), whereas ages 50 to 60 years (0.55, …
P1-440 Latent class analysis of student substance use
Introduction Data were collected from a student population to investigate how substance use is related to perceived substance use of friends and the wider University population, during the period February to May 2009. The outcome measure was use of any of nine substances in the previous 3 months, giving differing patterns of use (trajectories) for each student. 4309 students were available for analysis. Methods We used latent class analysis (LCA)…
OP52 Multilevel Latent Class Modelling of Colorectal Cancer Survival Status and Socioeconomic Background
Background Many factors influence survival from colorectal cancer, including stage of diagnosis, treatment centre, and associated risk factors such as age, sex and socioeconomic background (SEB). Previous studies have typically considered stage of disease as a potential confounder. Stage however may lie on the causal path between SEB and survival. Statistical adjustment for stage as a confounder can therefore introduce interpretational difficulti…
Medicine (6 works) · Environmental health (5 works) · Demography (4 works) · Internal Medicine (4 works) · Latent class model (4 works) · Population (4 works) · Statistics (4 works) · Covariate (3 works) · Internal Medicine (3 works) · Artificial Intelligence (2 works)