scholarly journals Estimating Adult Death Rates From Sibling Histories: A Network Approach

Demography ◽  
2021 ◽  
Author(s):  
Dennis M. Feehan ◽  
Gabriel M. Borges
Keyword(s):  
Survival Data ◽  
Reporting Quality ◽  
R Package ◽  
Adult Mortality ◽  
Death Registration ◽  
Death Rates ◽  
Survival Status ◽  
Sampling Problem ◽  
Nationally Representative ◽  
Source Of Information

Abstract Hundreds of millions of people live in countries that do not have complete death registration systems, meaning that most deaths are not recorded and that critical quantities, such as life expectancy, cannot be directly measured. The sibling survival method is a leading approach to estimating adult mortality in the absence of death registration. The idea is to ask survey respondents to enumerate their siblings and to report about their survival status. In many countries and periods, sibling survival data are the only nationally representative source of information about adult mortality. Although a vast amount of sibling survival data has been collected, important methodological questions about the method remain unresolved. To help make progress on this issue, we propose reframing the sibling survival method as a network sampling problem. This approach enables a formal derivation of statistical estimators for sibling survival data. Our derivation clarifies the precise conditions that sibling history estimates rely on, leads to internal consistency checks that can help assess data and reporting quality, and reveals important quantities that could potentially be measured to relax assumptions in the future. We introduce the R package siblingsurvival, which implements the methods we describe.

Child, Maternal, and Adult Mortality in Sierra Leone: Nationally Representative Mortality Survey 2018-2020

2021 ◽  
Author(s):  
Ronald Carshon-Marsh ◽  
Ashley Aimone ◽  
Rashid Ansumana ◽  
Ibrahim Bob Swaray ◽  
Anteneh Assalif ◽  
...  
Keyword(s):  
Sierra Leone ◽  
Adult Mortality ◽  
Nationally Representative ◽  
Mortality Survey

FLATTENING THE CURVE IN RISK MANAGEMENT OF COVID-19: DO LOCKDOWNS WORK?

2021 ◽  
pp. 2050011
Author(s):  
DAVID E. ALLEN ◽  
MICHAEL MCALEER
Keyword(s):  
Risk Management ◽  
Relative Effectiveness ◽  
R Package ◽  
Cross Sectional ◽  
Death Rates ◽  
Global Spread ◽  
Cast Doubt ◽  
Algorithmic Techniques ◽  
National Governments ◽  
State Regional

This paper presents a novel analysis of the global spread of the SARS-CoV-2 virus that causes the COVID-19 disease using the R package “nCov2019”, with an emphasis on the global spread and forecasts of the disease, and the rate of transmission in individual countries at two different points in time, namely, March and September 2020. This throws in sharp relief the relative effectiveness of the attempts to risk manage the spread of the virus by “flattening the curve” (aka planking the curve) of the speed of transmission, and the efficacy of lockdowns in terms of the spread of the disease and death rates. Simple cross-sectional regressions are able to predict quite well both the total number of cases and deaths, which cast doubt on the above measures. The algorithmic techniques, results and analysis presented in the paper should prove useful to the medical and health professions, science advisers and risk management and decision making of healthcare by state, regional and national governments in all countries.

scholarly journals Examining sex differences in the completeness of Peruvian CRVS data and adult mortality estimates

Genus ◽  
2022 ◽  
Vol 78 (1) ◽  
Author(s):  
Helena Cruz Castanheira ◽  
José Henrique Costa Monteiro da Silva
Keyword(s):  
Sex Differences ◽  
Sex Difference ◽  
Health Surveys ◽  
Adult Mortality ◽  
Data Sources ◽  
Demographic And Health Surveys ◽  
Death Registration ◽  
Male And Female ◽  
Health Related ◽  
Mortality Estimates

AbstractThe production, compilation, and publication of death registration records is complex and usually involves many institutions. Assessing available data and the evolution of the completeness of the data compiled based on demographic techniques and other available data sources is of great importance for countries and for having timely and disaggregated mortality estimates. In this paper, we assess whether it is reasonable, based on the available data, to assume that there is a sex difference in the completeness of male and female death records in Peru in the last 30 years. In addition, we assess how the gap may have evolved with time by applying two-census death distribution methods on health-related registries and analyzing the information from the Demographic and Health Surveys and civil registries. Our findings suggest that there is no significant sex difference in the completeness of male and female health-related registries and, consequently, the sex gap currently observed in adult mortality estimates might be overestimated.

IPDfromKM: Reconstruct Individual Patient Data from Published Kaplan-Meier Survival Curves

2020 ◽  
Author(s):  
Na Liu ◽  
Yanhong Zhou ◽  
J. Jack Lee
Keyword(s):  
Survival Data ◽  
Individual Patient Data ◽  
Secondary Analysis ◽  
R Package ◽  
Patient Data ◽  
Survival Curves ◽  
Raw Data ◽  
Kaplan Meier ◽  
Number Of Patients ◽  
Shiny Application

Abstract BackgroundWhen applying secondary analysis on published survival data, it is critical to obtain each patient’s raw data, because the individual patient data (IPD) approach has been considered as the gold standard of data analysis. However, researchers often lack access to the IPD. We aim to propose a straightforward and robust approach to help researchers to obtain IPD from published survival curves with a friendly software platform. ResultsImproving upon the existing methods, we proposed an easy-to-use, two-stage approach to reconstruct IPD from published Kaplan-Meier (K-M) curves. Stage 1 extracts raw data coordinates and Stage 2 reconstructs IPD using the proposed method. To facilitate the use of the proposed method, we develop the R package IPDfromKM and an accompanied web-based Shiny application. Both the R package and Shiny application can be used to extract raw data coordinates from published K-M curves, reconstruct IPD from data coordinates extracted, visualize the reconstructed IPD, assess the accuracy of the reconstruction, and perform secondary analysis on the IPD. We illustrate the use of the R package and the Shiny application with K-M curves from published studies. Extensive simulations and real world data applications demonstrate that the proposed method has high accuracy and great reliability in estimating the number of events, number of patients at risk, survival probabilities, median survival times, as well as hazard ratios. ConclusionsIPDfromKM has great flexibility and accuracy to reconstruct IPD from published K-M curves with different shapes. We believe that the R package and the Shiny application will greatly facilitate the potential use of quality IPD data and advance the use of secondary data to make informed decision in medical research.

scholarly journals Death by Survey: Estimating Adult Mortality Without Selection Bias From Sibling Survival Data

Demography ◽  
2006 ◽  
Vol 43 (3) ◽  
pp. 569-585 ◽  
Author(s):  
Emmanuela E. Gakidou ◽  
Gary King
Keyword(s):  
Selection Bias ◽  
Survival Data ◽  
Adult Mortality

scholarly journals Life expectancy, adult mortality and completeness of death counts in Brazil and regions: comparative analysis of IHME, IBGE and other researchers estimates of levels and trends

2019 ◽  
Author(s):  
Bernardo L Queiroz ◽  
Marcos Roberto Gonzaga ◽  
Ana Maria Nogales ◽  
Bruno Torrente ◽  
Daisy Maria Xavier de Abreu
Keyword(s):  
Life Expectancy ◽  
State Level ◽  
Adult Mortality ◽  
Population Projections ◽  
Spatial And Temporal Variation ◽  
Mortality Data ◽  
Death Registration ◽  
Quality Of Data ◽  
National Statistics

Estimates of completeness of death registration are crucial to produce estimates of life tables, population projections and to the global burden of diseases study. They are an imperative step in quality of data analysis. In the case of state level data in Brazil, it is important to consider spatial and temporal variation in the quality of mortality data. In this paper, we compare and discuss alternative estimates of completeness of death registration, adult mortality (45q15) and life expectancy estimates produced by the National Statistics Office (IBGE), Institute for Health Metrics and Evaluation (IHME) and estimates presented in Queiroz, et.al (2017) and Schmertmann and Gonzaga (2018), for 1980 and 2010. We find significant differences in estimates that affect both levels and trends of completeness of adult mortality in Brazil and states. IHME and Queiroz, et.al (2017) estimates converge in 2010, but there are large differences when compared to estimates from the National Statistics Office (IBGE). Larger differences are observed for less developed states.

scholarly journals The Linear Link: Deriving Age-Specific Death Rates from Life Expectancy

Risks ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 109
Author(s):  
Marius Pascariu ◽  
Ugofilippo Basellini ◽  
José Aburto ◽  
Vladimir Canudas-Romo
Keyword(s):  
Life Expectancy ◽  
R Package ◽  
Value Of Life ◽  
Life Tables ◽  
Human Longevity ◽  
Death Rates ◽  
New Model ◽  
Life Expectancy At Birth ◽  
Age Patterns ◽  
Full Life

The prediction of human longevity levels in the future by direct forecasting of life expectancy offers numerous advantages, compared to methods based on extrapolation of age-specific death rates. However, the reconstruction of accurate life tables starting from a given level of life expectancy at birth, or any other age, is not straightforward. Model life tables have been extensively used for estimating age patterns of mortality in poor-data countries. We propose a new model inspired by indirect estimation techniques applied in demography, which can be used to estimate full life tables at any point in time, based on a given value of life expectancy at birth. Our model relies on the existing high correlations between levels of life expectancy and death rates across ages. The methods presented in this paper are implemented in a publicly available R package.

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