James Lopez Bernal
Biographic Data
| ID | 10725399 |
|---|---|
| NAME | James Lopez Bernal |
| GIVEN NAMES | James |
| FAMILY NAME | Lopez Bernal |
| SIGNATURE | BERNAL J L |
| AFFILIATIONS | Department of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine, London, UK |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2018 |
| H-INDEX | 0 |
The use of controls in interrupted time series studies of public health interventions
Interrupted time series analysis differs from most other intervention study designs in that it involves a before-after comparison within a single population, rather than a comparison with a control group. This has the advantage that selection bias and confounding due to between-group differences are limited. However, the basic interrupted time series design cannot exclude confounding due to co-interventions or other events occurring around the ti…
Interrupted time series regression for the evaluation of public health interventions
Interrupted time series (ITS) analysis is a valuable study design for evaluating the effectiveness of population-level health interventions that have been implemented at a clearly defined point in time. It is increasingly being used to evaluate the effectiveness of interventions ranging from clinical therapy to national public health legislation. Whereas the design shares many properties of regression-based approaches in other epidemiological stu…
No prominent works on this page.
Interrupted time series regression for the evaluation of public health interventions
Interrupted time series (ITS) analysis is a valuable study design for evaluating the effectiveness of population-level health interventions that have been implemented at a clearly defined point in time. It is increasingly being used to evaluate the effectiveness of interventions ranging from clinical therapy to national public health legislation. Whereas the design shares many properties of regression-based approaches in other epidemiological stu…
The use of controls in interrupted time series studies of public health interventions
Interrupted time series analysis differs from most other intervention study designs in that it involves a before-after comparison within a single population, rather than a comparison with a control group. This has the advantage that selection bias and confounding due to between-group differences are limited. However, the basic interrupted time series design cannot exclude confounding due to co-interventions or other events occurring around the ti…
A priori and a posteriori (2 works) · Advanced Causal Inference Techniques (2 works) · Interrupted time series (2 works) · Mathematics (2 works) · Medicine (2 works) · Psychological intervention (2 works) · Public health (2 works) · Statistical Methods and Bayesian Inference (2 works) · Statistics (2 works) · Clinical study design (1 work)