Douglas S Lee
Biographic Data
| ID | 5412690 |
|---|---|
| NAME | Douglas S Lee |
| GIVEN NAMES | Douglas S |
| FAMILY NAME | Lee |
| SIGNATURE | LEE D S |
| AFFILIATIONS | University Health Network |
| ORCID | 0000-0001-7078-745X |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1967 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Rising out-of-hospital mortality in Canada during 2020‒2022: A striking impact observed among young adults
Comorbidity-stratified estimates of 30-day mortality risk by age for unvaccinated men and women with Covid-19: A population-based cohort study
The mortality risk in COVID-19 increases with age and comorbidity but the prognostic implications varied by sex and condition. These observations can support communication efforts and inform vaccine rollout in jurisdictions with limited vaccine supplies
Missing Data in Clinical Research: A Tutorial on Multiple Imputation
Missing data is a common occurrence in clinical research. Missing data occurs when the value of the variables of interest are not measured or recorded for all subjects in the sample. Common approaches to addressing the presence of missing data include complete-case analyses, where subjects with missing data are excluded, and mean-value imputation, where missing values are replaced with the mean value of that variable in those subjects for whom it…
Estimating the Net Benefit of Improvements in Hospital Performance: G-Computation With Hierarchical Regression Models
BACKGROUND: It is important to be able to estimate the anticipated net population benefit if the performance of hospitals is improved to specific standards. OBJECTIVE: The objective of this study was to show how G-computation can be used with random effects logistic regression models to estimate the absolute reduction in the number of adverse events if the performance of some hospitals within a region was improved to meet specific standards. RESE…
Administrative Hospitalization Database Validation of Cardiac Procedure Codes
BACKGROUND: Although cardiac procedures are commonly used to treat cardiovascular disease, they are costly. Administrative data sources could be used to track cardiac procedures, but sources of such data have not been validated against clinical registries. OBJECTIVES: To examine accuracy of cardiac procedure coding in administrative databases versus a prospective clinical registry. SAMPLE: We examined a total of 182,018 common cardiac procedures …
The Other in the Mirror, or, Recognizing the Self: Wilde's and Zemlinsky's Dwarf
Early twentieth-century Viennese modernity, obsessed with identity in crisis, was especially preoccupied with the play between external appearances and internal dimensions of the self. This is the context for Alexander Zemlinsky’s opera Der Zwerg, which stages the tragic tale of an ugly, misshapen individual who does not recognize his own mirror image. The fatal end to his encounter with his reflection speaks to the devastating consequences of th…
Comparison of Coding of Heart Failure and Comorbidities in Administrative and Clinical Data for Use in Outcomes Research
BACKGROUND: Despite the potential usefulness of administrative databases for evaluating outcomes, coding of heart failure and associated comorbidities have not been definitively compared with clinical data. OBJECTIVE: To compare the predictive value of heart failure diagnoses and secondary conditions identified in a large administrative database with chart-based records. METHODS: The authors studied 1808 patient records sampled from 14 acute care…
Aggression in Adolescent Delinquents
ISRAEL KOLVIN, CHRISTOPHER OUNSTED, DOUGLAS LEE; AGGRESSION IN ADOLESCENT DELINQUENTS*, The British Journal of Criminology, Volume 7, Issue 3, 1 July 1967
No prominent works on this page.
Aggression in Adolescent Delinquents
ISRAEL KOLVIN, CHRISTOPHER OUNSTED, DOUGLAS LEE; AGGRESSION IN ADOLESCENT DELINQUENTS*, The British Journal of Criminology, Volume 7, Issue 3, 1 July 1967
Comparison of Coding of Heart Failure and Comorbidities in Administrative and Clinical Data for Use in Outcomes Research
BACKGROUND: Despite the potential usefulness of administrative databases for evaluating outcomes, coding of heart failure and associated comorbidities have not been definitively compared with clinical data. OBJECTIVE: To compare the predictive value of heart failure diagnoses and secondary conditions identified in a large administrative database with chart-based records. METHODS: The authors studied 1808 patient records sampled from 14 acute care…
The Other in the Mirror, or, Recognizing the Self: Wilde's and Zemlinsky's Dwarf
Early twentieth-century Viennese modernity, obsessed with identity in crisis, was especially preoccupied with the play between external appearances and internal dimensions of the self. This is the context for Alexander Zemlinsky’s opera Der Zwerg, which stages the tragic tale of an ugly, misshapen individual who does not recognize his own mirror image. The fatal end to his encounter with his reflection speaks to the devastating consequences of th…
Administrative Hospitalization Database Validation of Cardiac Procedure Codes
BACKGROUND: Although cardiac procedures are commonly used to treat cardiovascular disease, they are costly. Administrative data sources could be used to track cardiac procedures, but sources of such data have not been validated against clinical registries. OBJECTIVES: To examine accuracy of cardiac procedure coding in administrative databases versus a prospective clinical registry. SAMPLE: We examined a total of 182,018 common cardiac procedures …
Estimating the Net Benefit of Improvements in Hospital Performance: G-Computation With Hierarchical Regression Models
BACKGROUND: It is important to be able to estimate the anticipated net population benefit if the performance of hospitals is improved to specific standards. OBJECTIVE: The objective of this study was to show how G-computation can be used with random effects logistic regression models to estimate the absolute reduction in the number of adverse events if the performance of some hospitals within a region was improved to meet specific standards. RESE…
Missing Data in Clinical Research: A Tutorial on Multiple Imputation
Missing data is a common occurrence in clinical research. Missing data occurs when the value of the variables of interest are not measured or recorded for all subjects in the sample. Common approaches to addressing the presence of missing data include complete-case analyses, where subjects with missing data are excluded, and mean-value imputation, where missing values are replaced with the mean value of that variable in those subjects for whom it…
Comorbidity-stratified estimates of 30-day mortality risk by age for unvaccinated men and women with Covid-19: A population-based cohort study
The mortality risk in COVID-19 increases with age and comorbidity but the prognostic implications varied by sex and condition. These observations can support communication efforts and inform vaccine rollout in jurisdictions with limited vaccine supplies
Rising out-of-hospital mortality in Canada during 2020‒2022: A striking impact observed among young adults
Medicine (6 works) · Internal Medicine (4 works) · Emergency Medicine (3 works) · Emergency Medicine (3 works) · Healthcare Policy and Management (3 works) · Internal Medicine (3 works) · Mathematics (3 works) · Statistics (3 works) · Confidence interval (2 works) · COVID-19 and healthcare impacts (2 works)