6,198 research outputs found
Stata code for paper "A systematic global assessment of the completeness and quality of household death reporting in censuses and surveys since 2000" by Tim Adair, Hang Li and Surender Pandey.
No full textStata code to replicate results in paper "A systematic global assessment of the completeness and quality of household death reporting in censuses and surveys since 2000" by Tim Adair, Hang Li and Surender Pandey. This is to be run on the accompanying data file "Data analysis final.dta".</p
Figure_1A_Age-specific_deaths_rates_(ASDRs),_log_scale,_PNG,_2011_(census_household_deaths) – Supplemental material for Patterns of All-Cause Mortality in Papua New Guinea, 2011
No full textSupplemental material, Figure_1A_Age-specific_deaths_rates_(ASDRs),_log_scale,_PNG,_2011_(census_household_deaths) for Patterns of All-Cause Mortality in Papua New Guinea, 2011 by Urarang Kitur, Tim Adair and Alan D. Lopez in Asia Pacific Journal of Public Health</p
Figure_2A_Provincial_variations_in_45q15_and_5q0,_males_and_females,_PNG_2011 – Supplemental material for Patterns of All-Cause Mortality in Papua New Guinea, 2011
No full textSupplemental material, Figure_2A_Provincial_variations_in_45q15_and_5q0,_males_and_females,_PNG_2011 for Patterns of All-Cause Mortality in Papua New Guinea, 2011 by Urarang Kitur, Tim Adair and Alan D. Lopez in Asia Pacific Journal of Public Health</p
Table_1A_Completeness_of_maximum_deaths_reporting_by_NHIS_and_DHIS,_PNG,_2007-2013 – Supplemental material for Patterns of All-Cause Mortality in Papua New Guinea, 2011
No full textSupplemental material, Table_1A_Completeness_of_maximum_deaths_reporting_by_NHIS_and_DHIS,_PNG,_2007-2013 for Patterns of All-Cause Mortality in Papua New Guinea, 2011 by Urarang Kitur, Tim Adair and Alan D. Lopez in Asia Pacific Journal of Public Health</p
Figure_3A_Map_of_PNG_showing_level_of_socioeconomic_development_by_province,_2011. – Supplemental material for Patterns of All-Cause Mortality in Papua New Guinea, 2011
No full textSupplemental material, Figure_3A_Map_of_PNG_showing_level_of_socioeconomic_development_by_province,_2011. for Patterns of All-Cause Mortality in Papua New Guinea, 2011 by Urarang Kitur, Tim Adair and Alan D. Lopez in Asia Pacific Journal of Public Health</p
sj-pdf-1-him-10.1177_18333583211059229 – Supplemental Material for Is training doctors in medical certification effective? Evidence from a prospective study in the Philippines
No full textSupplemental Material, sj-pdf-1-him-10.1177_18333583211059229 for Is training doctors in medical certification effective? Evidence from a prospective study in the Philippines by Jomilynn Rebanal, Tim Adair and Lene Mikkelsen in Health Information Management Journal</p
Table_2A_Education,_economic_and_health_component_scores,_and_overall_Composite_Index,_by_province,_PNG,_2011 – Supplemental material for Patterns of All-Cause Mortality in Papua New Guinea, 2011
No full textSupplemental material, Table_2A_Education,_economic_and_health_component_scores,_and_overall_Composite_Index,_by_province,_PNG,_2011 for Patterns of All-Cause Mortality in Papua New Guinea, 2011 by Urarang Kitur, Tim Adair and Alan D. Lopez in Asia Pacific Journal of Public Health</p
Do dolphins benefit from nonlinear mathematics when processing their sonar returns?
No full textAn interview with author Tim Leighton about the paper
Cause of death decomposition of cohort survival comparisons
No full textLife expectancy is most commonly measured for a period (corresponding to mortality within a given year) or for a specific birth cohort. Although widely used, period and cohort life expectancy have limitations as their time-trends often show disparities and can mask the historical mortality experience of all cohorts present at a given time. The truncated cross-sectional average length of life, or TCAL, is a period measure including all available cohort mortality information, irrespective of whether all cohort members have died. It is particularly useful for comparing cohort mortality between populations. This study extends TCAL by disentangling causes of death contributions. The strength of the approach is that it allows identification of mortality differences in cohorts with members still alive, as well as identification of which ages and causes of death contribute to mortality differentials between populations. Application of the method to Japan shows that over the period 1950-2014 a major contributor to TCAL differences with other high-longevity countries was its lower cardiovascular disease mortality
Opportunities for linking young surveyors across professional surveying member organisations and FIG
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