Manual HCM model PE-measure 0.5

NIAID Data Ecosystem2026-03-13 收录

因果推断验证

预测误差度量

数据链接：

https://www.ndexbio.org/viewer/networks/6366a24e-6976-11eb-9e72-0ac135e8bacf 数据链接链接失效反馈

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资源简介：

Manual HCM model with reduced level of noise, reliability threshold=0.5

创建时间：

2021-10-12

Predicted Incrementality by Experimentation (PIE) for Ad Measurement

广告增量预测

因果推断验证

Randomized controlled trials (RCTs) provide the most credible estimates of advertising incrementality but are difficult to scale. We propose Predicted Incrementality by Experimentation (PIE), which re

NBER2026-04-01 更新110

Transfer entropy and its estimation from data.

因果推断验证

时间序列分析

(PDF)

NIAID Data Ecosystem80

Replication data for: Nonparametric IV Methods for Dynamic Treatment Evaluation

因果推断验证

非参数工具变量法

van den Berg, Gerard J., Bonev, Petyo, and Mammen, Enno, (2020) “Nonparametric Instrumental Variable Methods for Dynamic Treatment Evaluation.” Review of Economics and Statistics 102:2, 355–367.

DataONE2020-07-15 更新80

Replication Data for: Placebo Tests For Causal Inference

因果推断验证

社会科学研究方法

Placebo tests are increasingly common in applied social science research, but the methodological literature has not previously offered a comprehensive account of what we learn from them. We define pla

NIAID Data Ecosystem90

Replication Data for: How dropping subjects who failed manipulation checks can bias your experimental results. An illustrative case

实验方法学

因果推断验证

Manipulations checks are post-experimental measures widely used to verify that subjects understood the treatment. Some researchers drop subjects who failed manipulation checks in order to limit the an

NIAID Data Ecosystem80

Manual HCM model PE-measure 0.5

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