首页/数据集/Causal beliefs: logistic regressions, Odds ratio (Exp(b)).

Causal beliefs: logistic regressions, Odds ratio (Exp(b)).

NIAID Data Ecosystem2026-03-10 收录

因果推断

逻辑回归建模

数据链接：

https://figshare.com/articles/dataset/Causal_beliefs_logistic_regressions_Odds_ratio_Exp_b_/4522181 数据链接链接失效反馈

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资源简介：

Causal beliefs: logistic regressions, Odds ratio (Exp(b)).

应用场景：

创建时间：

2017-01-06

工具变量估计

因果推断

Following an influential article by Angrist and Krueger (1992) on two-sample instrumental variables (TSIV) estimation, numerous empirical researchers have applied a computationally convenient two-samp

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Data from: A flexible, interpretable framework for assessing sensitivity to unmeasured confounding

因果推断

敏感性分析

When estimating causal effects, unmeasured confounding and model misspecification are both potential sources of bias. We propose a method to simultaneously address both issues in the form of a semi-pa

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Univariate and multivariate Logistic regression analyses.

逻辑回归建模

分类预测

Univariate and multivariate Logistic regression analyses.

Figshare2026-03-03 更新20

Replication Data for: Causal Inference with Interference and Noncompliance in Two-Stage Randomized Experiments.

因果推断

随机实验

In many social science experiments, subjects often interact with each other and as a result one unit's treatment influences the outcome of another unit. Over the last decade, a significant progress ha

DataONE2020-06-16 更新100

Logistic regression predicting adverse event reporting in the healthcare setting.

医疗不良事件预测

逻辑回归建模

Logistic regression predicting adverse event reporting in the healthcare setting.

Figshare2022-10-19 更新30