Constructing a binary prediction model with incomplete data: Variable selection to balance fairness and precision.

Authors

Institutions

Publication Details

Journal
Psychological Methods
Published
2025-08-14
DOI
https://doi.org/10.1037/met0000786
Primary Topic
Forecasting Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Constructing a binary prediction model with incomplete data: Variable selection to balance fairness and precision.

Gongjun Xu, David J. Weiss, Chun Wang, Ren He
Psychological Methods
Forecasting Techniques and Applications
article

Constructing a binary prediction model with incomplete data: Variable selection to balance fairness and precision.

Gongjun Xu, David J. Weiss, Chun Wang, Ren He
article en

Abstract

No abstract available for this paper.
Psychological Methods
University of Minnesota (US), University of Michigan (US), Industrial Measurement Systems (United States) (US)
Openalex Percentile: Top 76%
Forecasting Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.