Results 221 to 230 of about 10,032,701 (265)
Abstract Extension services are designed to facilitate the flow of information from researchers to farmers. However, information failures continue to impede the diffusion of soil‐improving and water conservation technologies in Sub‐Saharan African countries. We use a randomized controlled trial (RCT) to examine the impact of an extension‐based campaign
Esther Gloria Mbabazi +3 more
wiley +1 more source
Design and Performance Analysis of Split Ring Resonator-Based Sensor for Soil Moisture Content Characterization. [PDF]
Alduwish S +4 more
europepmc +1 more source
Why are surveys struggling to estimate vote shares?
Abstract Polling in the 2020 US presidential elections significantly underestimated Trump support, calling into question the accuracy of all political surveys. Although many have speculated that this bias is due to Trump supporters refusing to respond to surveys, we have previously lacked the data to directly evaluate this theory.
Matthew Tyler +6 more
wiley +1 more source
Long‐run confidence: Estimating uncertainty when using long‐run multipliers
Abstract Researchers are often interested in the long‐run relationship (LRR) between variables where the dependent variable has dynamic properties. Though determining the long‐run multiplier (LRM) for an independent variable is straightforward, correctly estimating the significance of the LRM is often difficult, especially when time series are short ...
Mark David Nieman, David A. M. Peterson
wiley +1 more source
Comparison of parametric versus machine-learning multiple imputation in clinical trials with missing continuous outcomes. [PDF]
Tackney MS +3 more
europepmc +1 more source
Endogenous coalition formation in policy debates
Abstract Political actors form coalitions around their joint normative beliefs in order to influence the policy process on contentious issues such as climate change or population aging. Policy process theory maintains that learning within and across coalitions is a central predictor of policy change but has yet to explain how policy learning works ...
Philip Leifeld, Laurence Brandenberger
wiley +1 more source
Frequentist and Bayesian Predictive Inference for the Log-Logistic Distribution Under Progressive Type-II Censoring. [PDF]
Zhang Z, Gui W.
europepmc +1 more source
ProDTI: prior-guided positive-unlabeled learning for robust drug-target interaction prediction. [PDF]
Wang Y, Zhang H, Zhu Z, Wei Q, Li Y.
europepmc +1 more source
Causal-Chemprop: Causal Machine Learning for Molecular Property Prediction and Design. [PDF]
Natajaya C, Attia L, Burns JW, Doyle PS.
europepmc +1 more source

