AN EVALUATION OF FARMERS’ PERCEPTIONS OF AND ADAPTATION TO THE EFFECTS OF CLIMATE CHANGE IN KENYA by Hilary K. Ndambiri, Cecilia N. Ritho, Stephen G. Mbogoh

“…The Heckman probit model was fitted to the data to avoid sample selection bias since not every farmer who may perceive climate change responds by adapting. …”
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Is It Possible to Know Cosmological Fine-tuning? by Daniel Andrés Díaz-Pachón, Ola Hössjer, Calvin Mathew

“…Recent developments have found estimates of these probabilities that circumvent previous concerns of measurability and selection bias. However, the question remains whether fine-tuning can indeed be known. …”
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Mortality in sleep apnoea syndrome: a review of the evidence by P. Lavie

“…It is as yet unclear if this finding represents a selection bias, differences in apnoea severity or in compliance with treatment between young and old patients, or an adaptation to the syndrome with age. …”
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How does climate shock affect technology adoption in rice production? by Thai Phan Nguyen, Duc Kien Nguyen, Quang Dung Truong

“…This study utilised VARHS (The Vietnam Access to Resources Household Survey) panel data from 2012 to 2018 and employed regression analysis following the application of propensity score matching (PSM) to address potential selection bias caused by drought and flood shocks. The findings indicated that households tend to adopt the improved variety of rice and organic fertilisers since households suffer the shock from the drought. …”
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Effective Field Theory for jet substructure in heavy ion collisions by Varun Vaidya

“…As an example, I consider dijet events that accompany the formation of a weakly coupled long lived Quark Gluon Plasma (QGP) medium in a heavy ion collision and look at an observable insensitive to jet selection bias: the simultaneous measurement of jet mass along with the transverse momentum imbalance between the jets that are groomed to remove soft radiation. …”
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Does contract farming affect technical efficiency? Evidence from soybean farmers in Northern Ghana by Ayeduvor Selorm, D. B. S. Sarpong, Irene S. Egyir, Akwasi Mensah Bonsu, Henry An

“…We use propensity score matching to reduce bias from observables, and then estimate a stochastic production frontier model that addresses selection bias arising from unobservable variables. We find that the technical efficiency levels of contract farmers are 77 percent compared with 69 percent for non-contract farmers. …”
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Critical thinking in nursing and midwifery learning: Quantitative and qualitative review by Ibtissam Atif, Nabila Elamri, Abdellah Gantare

“…The quality of the articles has been verified by assessing the risk of bias (selection bias, detection bias, and interpretation bias) and using the Standards for Quality Improvement Reporting Excellence method. …”
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Does environmental innovation improve investment efficiency? by Ijaz Ur Rehman, Faisal Shahzad, Usama Laique, Muhammad Abdullah Hanif

“…Our results are robust to alternative measures of eco-innovation, endogeneity, and sample selection bias.…”
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Benchmarking Strategies for Measuring the Quality of Healthcare: Problems and Prospects by Pietro Giorgio Lovaglio

“…Specific challenges of benchmarking strategies, such as the risk of risk adjustment (case-mix fallacy, underreporting, risk of comparing noncomparable hospitals), selection bias, and possible strategies for the development of consistent benchmarking analyses, are discussed. …”
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Interaction Design of Educational App Based on Collaborative Filtering Recommendation by Ying Xu, Tse-Kian Neo, Hin Hew Soon

“…Simultaneously, this paper combines user activity, item popularity, and time factors to comprehensively measure user visibility of items and incorporates them into the collaborative filtering recommendation algorithm in order to effectively mitigate the effects of data sparsity and user selection bias and improve recommendation results.…”
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The Impact of Agricultural Cooperatives on Efficiency and Productivity: Evidence from Olive-growing Farms in West Bank of Palestine by Kenichi KASHIWAGI

“…We employed propensity score matching to reduce self-selection bias in becoming a member of the cooperative. …”
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Two-way minimization: a novel treatment allocation method for small trials. by Lan-Hsin Chen, Wen-Chung Lee

“…When there are important prognostic factors to be balanced in the study, the method achieves the highest power and the smallest variance among randomization methods that are resistant to selection bias. The allocation can be done in real time and the subsequent data analysis is straightforward. …”
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The Social Justice Impact of the Transit-Oriented Development by Seunghoon Kim

“…These indicate the existence of the selection bias of TOD implementation, justifying the adoption of the PSM method.…”
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The impact and effectiveness of China’s entrepreneurship policy for back-home migrant workers by Xianzhou Zhao, Rob Kim Marjerison, Chuanyu Peng

“…Using survey data from the provinces of; Zhejiang, Henan, and Guizhou with propensity score matching to control selection bias, the study indicates that the overall entrepreneurship policy has a significant positive impact on the probability of entrepreneurial entry. …”
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The impact of the educational marriage-matching model on the household income gap by Congjia Huo, Lingming Chen

“…Propensity score matching was used to correct possible selection bias and estimate the net effect of marital education matching on household income gaps. …”
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Causal diagrams and the cross-sectional study by Shahar E, Shahar DJ

“…A side-by-side analysis showed that both designs call for a tradeoff between information bias and variance and that neither offers immunity to sampling colliding bias (selection bias). Confounding bias does not discriminate between the two designs either. …”
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Does Adoption of Biofortification Increase Return on Investment? Evidence from Wheat Farmers in China by Jing Zeng, Han Li, Yifan Tang, Ping Qing

“…An endogenous switching regression model that accounts for selection bias was used in the research. The empirical results revealed that the adoption of biofortification has a positive and statistically significant impact on ROI. …”
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Capital misallocation in China : financial frictions or policy distortions? by Wu, Guiying Laura

“…This paper designs an identification strategy to separate their effects on average MRPK dispersion across firm ownership, as the average treatment effect on the treated and the selection bias from a policy intervention. Financial frictions are estimated to cause an aggregate TFP loss of 8.3 percent on the intensive margin, which accounts for 30 percent of the capital misallocation observed in China. …”
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Do natural resources attract non-resource FDI? by Van der Ploeg, R, Poelhekke, S

“…Our main findings are robust to different measures of resource reserves and the oil price and to allowing for sample selection bias.…”

Is the care system to blame for the poor educational outcomes of children looked after? Evidence from a systematic review and national database analysis by Luke, N, O'Higgins, A

“…Taken together, the findings suggest that while research demonstrates an important attainment gap between children in care and children in the general population, this difference is reduced and in many cases disappears when other important factors are taken into consideration to reduce selection bias. We find little evidence that being in care is detrimental to the educational outcomes of children looked after, but suggest that given the heterogeneity of the population, special attention should be paid to different groups of children and their particular needs while in care.…”