The 2x2 experimental design for combining two manipulations.

Figshare2016-10-31 更新2026-04-29 收录

实验设计方法

交互效应分析

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资源简介：

The 2x2 experimental design for combining two manipulations.

创建时间：

2016-10-31

Replication Data for: How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice

统计模型

交互效应分析

We propose simple diagnostics to assess the validity of modeling assumptions in multiplicative interaction models and offer flexible estimation strategies that allow for nonlinear interaction effects

DataCite Commons2025-05-12 更新110

Comparison of competing models for change in male response and mean response with and without the interaction term using AICc and ΔAICc.

生态统计模型

交互效应分析

Comparison of competing models for change in male response and mean response with and without the interaction term using AICc and ΔAICc.

NIAID Data Ecosystem90

Summary results of the logistic regression model M2-12 including the significant two-way interactions to maximise loglikelihood.

逻辑回归建模

交互效应分析

Summary results of the logistic regression model M2-12 including the significant two-way interactions to maximise loglikelihood.

NIAID Data Ecosystem70

Minimal sets of parameters for specialised reduced models that capture a specific biomarker with a coefficient of determination value of at least 0.9. Parameters are ranked by their total-order index from large to small. All 15 parameters are required for to achieve high accuracy () because of their non-negligible high-order interaction effects.

生物标志物模型优化

交互效应分析

Minimal sets of parameters for specialised reduced models that capture a specific biomarker with a coefficient of determination value of at least 0.9. Parameters are ranked by their total-order index

NIAID Data Ecosystem90

Replication data for: Factorial Designs, Model Selection, and (Incorrect) Inference in Randomized Experiments

实验设计方法

随机实验分析

Review of Economics and Statistics: Forthcoming

NIAID Data Ecosystem80