Results 331 to 340 of about 4,525,334 (379)

Bias in Selection

1986
Discrimination is the essence of good selection: an employer tries to discriminate between the applicants who will be good workers and those who will be poor workers. Such discrimination is right and proper: it increases organisational efficiency, it conserves society’s resources and it saves many individuals the stress and strain of struggling to cope
Michael J. Smith, Ivan T. Robertson
openaire   +2 more sources

Sample Selection Bias and Heckman Models in Strategic Management Research

, 2016
The use of Heckman models by strategy scholars to resolve sample selection bias has increased by more than 700 percent over the last decade, yet significant inconsistencies exist in how strategy sc...
John R. Busenbark, Trevis Certo, H. Woo
semanticscholar   +1 more source

Site‐selection bias and apparent population declines in long‐term studies

Conservation Biology, 2019
Detecting population declines is a critical task for conservation biology. Logistical difficulties and the spatiotemporal variability of populations make estimation of population declines difficult.
Auriel M. V. Fournier, E. White, S. Heard   +2 more
semanticscholar   +1 more source

Selection Bias and Self-Selection

1987
The problem of selection bias in economic and social statistics arises when a rule other than simple random sampling is used to sample the underlying population that is the object of interest. The distorted representation of a true population as a consequence of a sampling rule is the essence of the selection problem.
openaire   +2 more sources

Selection bias in GP fundholding

Health Economics, 1996
This paper uses a logistic regression model based on 1993 data for general practices in a single Family Health Services Authority (Lincolnshire) to analyse the differences in characteristics between existing fundholding (up to and including wave three) and non-fundholding practices. A high degree of classification accuracy is obtained.
Darrin Baines, David K. Whynes
openaire   +3 more sources

Selection Bias in Observational Data

2006
This comprehensive collection brings together more than 50 contributions from some of the most influential researchers in health economics. It authoritatively covers theoretical and empirical issues in health economics, with a balanced range of material on equity and efficiency in health care systems, health technology assessment and issues of concern ...
Daniel Polsky, Anirban Basu
openaire   +3 more sources

Selection bias versus allocation bias

BMJ, 2013
The effectiveness of supported self management in reducing hospital readmissions and death in patients with chronic obstructive pulmonary disease was evaluated.1 Researchers performed a randomised controlled trial. The intervention consisted of training patients to detect and treat exacerbations promptly, with ongoing support for 12 months. Patients in
openaire   +2 more sources

On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation

Journal of machine learning research, 2010
Model selection strategies for machine learning algorithms typically involve the numerical optimisation of an appropriate model selection criterion, often based on an estimator of generalisation performance, such as k-fold cross-validation.
G. Cawley, N. L. C. Talbot
semanticscholar   +1 more source

SELECTION BIAS IN EPIDEMIOLOGIC STUDIES12

American Journal of Epidemiology, 1981
Consideration of factors involved in the selection of subjects is essential for evaluating the validity of a putative etiologic association. The purpose of this paper is to provide a quantitative conceptual framework for understanding selection bias; this framework integrates both epidemiologic and statistical considerations.
David G. Kleinbaum, Hal Morgenstern, Lawrence L. Kupper   +2 more
openaire   +3 more sources

Selection Bias

The SAGE Encyclopedia of Research Design, 2022

semanticscholar   +1 more source