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书目名称Unified Methods for Censored Longitudinal Data and Causality影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0942020<br><br> <br><br>书目名称Unified Methods for Censored Longitudinal Data and Causality影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0942020<br><br> <br><br>书目名称Unified Methods for Censored Longitudinal Data and Causality网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0942020<br><br> <br><br>书目名称Unified Methods for Censored Longitudinal Data and Causality网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0942020<br><br> <br><br>书目名称Unified Methods for Censored Longitudinal Data and Causality被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0942020<br><br> <br><br>书目名称Unified Methods for Censored Longitudinal Data and Causality被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0942020<br><br> <br><br>书目名称Unified Methods for Censored Longitudinal Data and Causality年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0942020<br><br> <br><br>书目名称Unified Methods for Censored Longitudinal Data and Causality年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0942020<br><br> <br><br>书目名称Unified Methods for Censored Longitudinal Data and Causality读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0942020<br><br> <br><br>书目名称Unified Methods for Censored Longitudinal Data and Causality读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0942020<br><br> <br><br>amorphous 发表于 2025-3-21 22:56:28
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Unified Approach for Causal Inference and Censored Data,ere A.(.) = .(. ≤ .) jumps to 1 when the subject is right-censored, . (.) is a counting process that jumps when the subject is monitored, .(.) indicates which of the covariates are measured at time ., and .(t) denotes the treatment that the subject receives at time . In other words, .(.) can denote爱国者 发表于 2025-3-22 12:34:58
Book 2003servational studies and clinical trials in a variety of fields such as medicine, biology, epidemiology, sociology, and economics among many others, which involve collection of large amounts of data on subjects or organisms over time. The goal of such studies can be formulated as estimation of a fini强制性 发表于 2025-3-22 15:49:08
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Cross-Sectional Data and Right-Censored Data Combined, time ., while if . > ., then we observe . Given a particular full data model . such as the generalized linear regression model, multiplicative intensity model, or nonparametric model, let . = .(.) be a parameter of interest defined on this full data model.perpetual 发表于 2025-3-23 02:31:23
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