Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Susanna Makela"'
Autor:
Sarah Tan, Susanna Makela, Daliah Heller, Kevin Konty, Sharon Balter, Tian Zheng, James H. Stark
Publikováno v:
Epidemics, Vol 23, Iss , Pp 96-109 (2018)
Existing methods to estimate the prevalence of chronic hepatitis C (HCV) in New York City (NYC) are limited in scope and fail to assess hard-to-reach subpopulations with highest risk such as injecting drug users (IDUs). To address these limitations,
Externí odkaz:
https://doaj.org/article/106de618de2c4102b0396cdba5379a64
Autor:
Shira Mitchell, PhD, Andrew Gelman, ProfPhD, Rebecca Ross, MSPH, Joyce Chen, MSSW, Sehrish Bari, MPH, Uyen Kim Huynh, PhD, Matthew W Harris, MA, Sonia Ehrlich Sachs, MD, Elizabeth A Stuart, ProfPhD, Avi Feller, PhD, Susanna Makela, PhD, Alan M Zaslavsky, ProfPhD, Lucy McClellan, MIA, Seth Ohemeng-Dapaah, PhD, Patricia Namakula, MSc, Cheryl A Palm, ProfPhD, Jeffrey D Sachs, ProfPhD
Publikováno v:
The Lancet Global Health, Vol 6, Iss 5, Pp e500-e513 (2018)
Summary: Background: The Millennium Villages Project (MVP) was a 10 year, multisector, rural development project, initiated in 2005, operating across ten sites in ten sub-Saharan African countries to achieve the Millennium Development Goals (MDGs). I
Externí odkaz:
https://doaj.org/article/9d004f5a08844479bfde9e86d51a6593
Publikováno v:
Revista Colombiana de Estadística, Vol 37, Iss 2, Pp 285-295 (2014)
Survey weights are used for correcting known differences between the sample and the population due to sampling design, nonresponse, undercoverage, and other factors. However, practical considerations often result in weights that are not constructed i
Externí odkaz:
https://doaj.org/article/a49561c246404cc4803e92da27112c35
Autor:
Jeffrey D. Sachs, Alan M. Zaslavsky, Uyen Kim Huynh, Cheryl A. Palm, Joyce Chen, Avi Feller, Rebecca Ross, Elizabeth A. Stuart, Matthew W Harris, Sonia Ehrlich Sachs, Andrew Gelman, Patricia Namakula, Sehrish Bari, Susanna Makela, Shira Mitchell, Seth Ohemeng-Dapaah, Lucy McClellan
Publikováno v:
The Lancet Global Health, Vol 6, Iss 5, Pp e500-e513 (2018)
Summary Background The Millennium Villages Project (MVP) was a 10 year, multisector, rural development project, initiated in 2005, operating across ten sites in ten sub-Saharan African countries to achieve the Millennium Development Goals (MDGs). In
This chapter argues that it is wasteful to do a large, expensive poll and then just report a few percentages. Statistical modeling allows researchers to make the most effective use of available data, and graphs make it possible to convey more informa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b450dfb72327df5573dc6f4272f308c
https://doi.org/10.1093/oxfordhb/9780190213299.013.12
https://doi.org/10.1093/oxfordhb/9780190213299.013.12
Publikováno v:
Stat Med
Cluster sampling is common in survey practice, and the corresponding inference has been predominantly design based. We develop a Bayesian framework for cluster sampling and account for the design effect in the outcome modeling. We consider a two-stag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::589234ef80721747a2eda3962d4f4556
Autor:
Tian Zheng, Daliah Heller, Susanna Makela, Sarah Tan, Kevin J. Konty, Sharon Balter, James H. Stark
Publikováno v:
Epidemics, Vol 23, Iss, Pp 96-109 (2018)
Existing methods to estimate the prevalence of chronic hepatitis C (HCV) in New York City (NYC) are limited in scope and fail to assess hard-to-reach subpopulations with highest risk such as injecting drug users (IDUs). To address these limitations,
Autor:
Kyle J Foreman, Mohsen Naghavi, Susanna Makela, Rafael Lozano, Farshad Pourmalek, Janaki O'Brien
Publikováno v:
Population Health Metrics
Population Health Metrics, Vol 8, Iss 1, p 9 (2010)
Population Health Metrics, Vol 8, Iss 1, p 9 (2010)
Background Coverage and quality of cause-of-death (CoD) data varies across countries and time. Valid, reliable, and comparable assessments of trends in causes of death from even the best systems are limited by three problems: a) changes in the Intern