Nicholas Jewell
Datos Biográficos
| ID | 9064183 |
|---|---|
| NOMBRE | Nicholas Jewell |
| NOMBRES | Nicholas |
| APELLIDO | Jewell |
| FIRMA | JEWELL N |
| AFILIACIONES | London School of Hygiene & Tropical Medicine |
| VERIFICADO | No |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2010 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2023 |
| ÍNDICE H | 0 |
The importance of investing in data, models, experiments, team science, and public trust to help policymakers prepare for the next pandemic
The COVID-19 pandemic has brought about valuable insights regarding models, data, and experiments. In this narrative review, we summarised the existing literature on these three themes, exploring the challenges of providing forecasts, the requirement for real-time linkage of health-related datasets, and the role of ‘experimentation’ in evaluating interventions. This literature review encourages us to broaden our perspective for the future, acknow…
Multiple Systems Estimation for Modern Slavery
Performing censuses on stigmatized or vulnerable populations is challenging, however, for such populations partial enumeration is often possible using different lists or sources. If the sources overlap then multiple systems estimation (MSE) methods can be applied to obtain an estimate of the total population. These are typically expressed by a log-linear model which permits positive/negative dependencies between lists. This paper considers issues…
To GEE or Not to GEE
Two modeling approaches are commonly used to estimate the associations between neighborhood characteristics and individual-level health outcomes in multilevel studies (subjects within neighborhoods). Random effects models (or mixed models) use maximum likelihood estimation. Population average models typically use a generalized estimating equation (GEE) approach. These methods are used in place of basic regression approaches because the health of …
Sin obras prominentes en esta página.
To GEE or Not to GEE
Two modeling approaches are commonly used to estimate the associations between neighborhood characteristics and individual-level health outcomes in multilevel studies (subjects within neighborhoods). Random effects models (or mixed models) use maximum likelihood estimation. Population average models typically use a generalized estimating equation (GEE) approach. These methods are used in place of basic regression approaches because the health of …
Multiple Systems Estimation for Modern Slavery
Performing censuses on stigmatized or vulnerable populations is challenging, however, for such populations partial enumeration is often possible using different lists or sources. If the sources overlap then multiple systems estimation (MSE) methods can be applied to obtain an estimate of the total population. These are typically expressed by a log-linear model which permits positive/negative dependencies between lists. This paper considers issues…
The importance of investing in data, models, experiments, team science, and public trust to help policymakers prepare for the next pandemic
The COVID-19 pandemic has brought about valuable insights regarding models, data, and experiments. In this narrative review, we summarised the existing literature on these three themes, exploring the challenges of providing forecasts, the requirement for real-time linkage of health-related datasets, and the role of ‘experimentation’ in evaluating interventions. This literature review encourages us to broaden our perspective for the future, acknow…
Computer Science (3 obras) · Demography (2 obras) · Econometrics (2 obras) · Mathematics (2 obras) · Medicine (2 obras) · Population (2 obras) · Sociology (2 obras) · Statistics (2 obras) · Alternative medicine (1 obras) · Biology (1 obras)