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Instrument Validity Tests With Causal Forests
Assumptions that are sufficient to identify local average treatment effects (LATEs) generate necessary conditions that allow instrument validity to be refuted. The degree to which instrument validity
DataCite Commons2021-05-25 更新150
DataSheet_4_Global thyroid cancer incidence trend and age-period-cohort model analysis based on Global Burden of Disease Study from 1990 to 2019.csv
BackgroundIn view of the rapid increase in the incidence of thyroid cancer (TC) and the spread of overdiagnosis around the world, the quantitative evaluation of the effect of age, period and birth coh
NIAID Data Ecosystem20
Data_Sheet_1_The Association of Thyroid Nodules With Blood Trace Elements Identified in a Cross-Section Study.docx
BackgroundThe association between occurrence of thyroid nodules (TNs) and trace elements detectable in blood are still inconclusive. The present study sought to determine the relationship between sele
NIAID Data Ecosystem10
Clinical demographics of Graves’ disease patients.
Clinical demographics of Graves’ disease patients.
NIAID Data Ecosystem50
Partial Identification of the Average Treatment Effect Using Instrumental Variables: Review of Methods for Binary Instruments, Treatments, and Outcomes
Several methods have been proposed for partially or point identifying the average treatment effect (ATE) using instrumental variable (IV) type assumptions. The descriptions of these methods are widesp
NIAID Data Ecosystem20
