Weighting and post-stratification for mortality
Propensity score weighting for addressing under reporting in mortality surveillance : a proof of concept study using the nationally representative mortality data in China
... score weighting were therefore closer to the true level of ...in mortality surveillance, especially in rural areas and western Table 6 Summary outputs of unadjusted and adjusted life tables based on the ...
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RATIO ESTIMATORS IN POST-STRATIFICATION
... 1. INTRODUCTION A ratio estimate of the population mean can be made in stratified random sampling in two ways. One way is to make a separate ratio estimate of the total of each stratum and weighting these totals. ...
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Efficiency of post-stratification for a large-scale forest inventory—case Finnish NFI
... availability of MS-NFI maps would not be a problem, while PS would be relying on MS-NFI maps based on the field data of the previous NFI round. In MA approaches, it is very important that the area of forest land is ...
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The Weighting Process in the SHIW
... After the survey has been conducted it is possible to exploit additional information about the population - possibly not available at the design stage - coming from larger surveys, census data or other sources believed ...
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"Stratification and Mortality - A Comparison of Education, Class, Status and Income"
... four stratification variables, when introduced as the only factor in the model, generally shows a clear association with the risk of death for both women and ...
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Post-stratification based on a choice of a randomization device
... proposed post-stratified estimator performs better than all the three randomized response models ...so post-stratification can be made based on any number of RR models; however in this demonstration ...
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Risk stratification for 1-year mortality in acute heart failure
... 1-year mortality and develop a risk stratification ...1-year mortality, patients were classified into risk ...risk stratification tree was internally validated by ...
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A Comparison Between Propensity Score Matching, Weighting, and Stratification in Multiple Treatment Groups: A Simulation Study
... 26 authors evaluated the impact of the National Anti-Drug Media Campaign on the level of alcohol and drug usage. Their study illustrated steps in performing stratification in the context of multiple propensity ...
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Income stratification and polarization in post-apartheid South Africa
... income stratification, and social ...the post-Apartheid ...of post-Apartheid policies in perpetuating ...the post-Apartheid South African ...and stratification to provide new ...
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Finding Respondents in the Forest: A Comparison of Logistic Regression and Random Forest Models for Response Propensity Weighting and Stratification
... survey weighting adjustments for multiplicity, nonresponse and coverage (Pew Research, 2012 and Pierannunzi, et ...propensity weighting seems positive, further work is needed to understand the stability of ...
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Adjusting treatment effect estimates by post-stratification in randomized experiments
... Overall, post-stratifying on variables not heavily related to outcome is unlikely to be worthwhile and can be ...harmful. Post-stratifying on variables that do relate to outcome will likely result in large ...
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Post-ERCP pancreatitis: Pathophysiology, early identification and risk stratification
... features, post-procedural factors are influential in the pathogenesis of PEP and may be used to determine the risk of its ...risk stratification and early diag- nosis is still ...risk stratification ...
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Adjusting treatment effect estimates by post-stratification in randomized experiments
... adjustment. Post-stratification is one simple form of adjustment where the researcher stratifies ex- perimental units with a pretreatment variable, estimates treatment effects within the strata, and then ...
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Some nonparametric tests of perfect judgment ranking for judgment post stratification
... more important role for the randomized version, respectively, in comparison to the unconditional tests based on T P , T N , T S ∗ , and T A ∗ . For the tests based on N P , J, W ∗ , and P A, the conditional distribution ...
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Myocardial injury determination improves risk stratification and predicts mortality in COVID-19 patients
... of mortality in patients with myocardial injury can be explained by the higher prevalence of comorbidities in this population is still a subject of discussion [4, ...
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Determinants of Neonatal and Post-neonatal Mortality in Pakistan
... and post-neonatal ...and post-neonatal ...child mortality because in most of the cases they were the first order ...and post-neonatal ...
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Classification of terrorism based on tweet text post on twitter using term weighting schemes
... term weighting schemes on two datasets are used to improve the automated content-based classification techniques, which is required to filter out unwanted ...
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Improving CHA2DS2-VASc stratification of non-fatal stroke and mortality risk using the Intermountain Mortality Risk Score among patients with atrial fibrillation
... Due to an inability to obtain cause of death informa- tion on approximately one-third of patients and because of the relatively low frequency of non-fatal stroke, the primary outcome in this study was all-cause ...
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Early post-settlement mortality and the structure of coral assemblages
... in mortality during the early post-settlement phase among the major coral taxa, among locations and among depths can be important in determining the final taxonomic composition and spatial distribu- tion of ...
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Racial and Ethnic Disparities in Post-neonatal Mortality in Florida
... The Healthy People target for post-neonatal mortality is 1.2 deaths per 1000 live births (DHHS, 2010). Both the outsourced counties and the non- outsourced counties showed differences in the proportions of ...
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