Erratum to: Marginal measures and causal effects using the relative survival framework
نویسندگان
چکیده
منابع مشابه
Estimating the Net Survival of Patients with Gastric Cancer in Iran in a Relative Survival Framework
Background: Iran is an Eastern Mediterranean region country with the highest rate of gastric cancer. The present study aimed to evaluate the 5-year net survival of patients with gastric cancer in Iran using a relative survival framework.Methods: In a cross-sectional study, using life-table estimation of relative survival, we reported 1- to 5-year relative survival regarding age, sex, disease st...
متن کاملMarginal versus conditional causal effects
Available online at: http://jbe.tums.ac.ir Conditional methods of adjustment are often used to quantify the effect of the exposure on the outcome. As a result, the stratums-specific risk ratio estimates are reported in the presence of interaction between exposure and confounder(s) in the literature, even if the target of the intervention on the exposure is the total population and the interacti...
متن کاملmarginal versus conditional causal effects
conditional methods of adjustment are often used to quantify the effect of the exposure on the outcome. as a result, the stratums-specific risk ratio estimates are reported in the presence of interaction between exposure and confounder(s) in the literature, even if the target of the intervention on the exposure is the total population and the interaction itsel...
متن کاملthe differential effects of debate and media analysis as relate to enhancing efl learners critical thinking ability and writing performances
critical thinking ability has an important role in education. accordingly, scholars around the world are searching for new ways for teaching and improving students critical thinking ability. in line with the studies in efl contexts supporting the positive relationship between critical thinking and writing performances, this study investigated the differential effects of halverson’s critical thi...
15 صفحه اولSet estimation of linear causal effects using relative correlation restrictions∗
This paper describes and implements a simple and relatively conservative approach to the most common problem in applied microeconometrics: estimating a linear causal effect when the explanatory variable of interest might be correlated with relevant unobserved variables. The main idea is to use the sample correlation between the variable of interest and observed control variables to suggest a ra...
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ژورنال
عنوان ژورنال: International Journal of Epidemiology
سال: 2020
ISSN: 0300-5771,1464-3685
DOI: 10.1093/ije/dyaa032