Effects of air pollution on poverty vulnerability by Liang Yinuo, Li Jialing, Chai Dingping, Zhuang Chen

“…In order to study the extent of the impact of air pollution on poverty vulnerability and provide a reference for governments to formulate and adjust policy approaches, in this paper, CNRDS and CHIPS micro-survey data were used to test the effects of air pollution on poverty vulnerability by using the Probit model, and the tendency value matching (PSM) method was adopted to correct the selective bias. The basic results show that air pollution is significantly negatively correlated with farmers’ vulnerability to poverty, that is, the higher the proportion of air pollution, the lower the economic vulnerability of farmers. …”
Get full text

Board gender diversity and stock price crash risk: Going beyond tokenism by Ayesha Qayyum, Ijaz Ur Rehman, Faisal Shahzad, Noman Khan, Faisal Nawaz, Panagiotis Kokkalis, Bruno S. Sergi

“…Our results are robust to alternative measures of stock price crash risk, potential endogeneity and selection biases.…”
Get full text

The AANS Harvey Cushing Medal: a demographic and academic analysis of its recipients by Kevin Pierre, Olgert Bardhi, Dimitri Laurent, Sasha Vaziri, Brandon Lucke-Wold, Meghan M. Brennan, Abeer Dagra, Bankole Olowofela, Ernest Barthélemy

“…The study’s purpose was to examine the qualities and accomplishments of previous winners, emphasizing potential selection biases, with the aim to promote social justice and guide young neurosurgeons in their career paths. …”
Get full text

Measuring the Effect of Environmental Hygieneon Child Health Outcomes in Cameroon by Mbu Daniel Tambi, Johannes Tabi Atemnkeng

“…Originality/value/contribution - Empirically, this study attempted to quantify the link between environmental hygiene and child health outcomes using the Cameroon DHS while solving for endogeneity, heterogeneity, simultaneity, and selectivity bias.(original abstract)…”
Get full text

New perspectives on microbial community distortion after whole-genome amplification. by Alexander J Probst, Thomas Weinmaier, Todd Z DeSantis, Jorge W Santo Domingo, Nicholas Ashbolt

“…Whole-genome amplification (WGA) has become an important tool to explore the genomic information of microorganisms in an environmental sample with limited biomass, however potential selective biases during the amplification processes are poorly understood. …”
Get full text

Machine learning for automatic prediction of the quality of electrophysiological recordings. by Thomas Nowotny, Jean-Pierre Rospars, Dominique Martinez, Shereen Elbanna, Sylvia Anton

“…This procedure is time-consuming and prone to selection biases. Here, we investigate replacing human decisions by a machine learning approach. …”
Get full text

Using click chemistry to study microbial ecology and evolution by Sander van Kasteren, Daniel E. Rozen

“…After first outlining the history of technological development in this field, we will discuss key applications to date using diverse labels, including BONCAT, and then end with a selective (biased) view of areas where click-chemistry and BONCAT-based approaches stand to have a significant impact on our understanding of microbial communities.…”
Get full text

A sustainable building promotes pro-environmental behavior: an observational study on food disposal. by David W-L Wu, Alessandra DiGiacomo, Alan Kingstone

“…Questionnaires reveal that these results are not due to self-selection biases. Our study provides empirical support that one's surroundings can have a profound and positive impact on behavior. …”
Get full text

The Reality Monitoring Deficit as a Common Neuropsychological Correlate of Schizophrenic and Affective Psychosis by Enrico Smeraldi, Cristina Colombo, Roberto Cavallaro, Francesco Benedetti, Daniele Radaelli

“…Conclusions: Our findings support the hypothesis of selective biases in reality monitoring as neuropsychological correlates of psychosis.…”
Get full text

How Do Partisans Consume News on Social Media? A Comparison of Self-Reports With Digital Trace Measures Among Twitter Users by Jieun Shin

“…The study found that selectivity bias was present in all types of data, including self-reported media consumption (survey), media following (Twitter), and indirect exposure to media (Twitter). …”
Get full text

Prognostic Significance of in situ Phenotypic Marker Expression in Diffuse Large B-cell Lymphomas by Alexandar Tzankov, Philip Went, Stephan Dirnhofer

“…Unfortunately, the reliability and reproducibility of the molecular results remains unclear due to contradictory reports in the literature resulting from small sample sizes, referral and selection biases, and variable methodologies and cut-off levels used to determine positivity. …”
Get full text

Adoption of innovation and farm productivity in the Sudano-Saharan zone in Cameroon by André Dumas Tsambou, Nelson Sergeo Tagang Tene

“…These data are applied by the endogenous switching regression model, which accounts for the selectivity bias of the sample while taking into account the differential impact between farms that have adopted agricultural innovations and those that have not. …”
Get full text

Selecting a Technological Progress Path and Upgrading Export Product Quality: Evidence From China by Qian Feng, Hong Liu, Yuwei Liu, Hengyuan Zhao

“…The results remain robust after considering selectivity bias and sample endogeneity. The heterogeneity test shows that the path of technological progress is more significant in improving the quality of export products of private, eastern, labor-intensive and processing trade enterprises. …”
Get full text

Recruiting the ABCD sample: Design considerations and procedures by H. Garavan, H. Bartsch, K. Conway, A. Decastro, R.Z. Goldstein, S. Heeringa, T. Jernigan, A. Potter, W. Thompson, D. Zahs

“…Procedures for school selection designed to mitigate selection biases, dynamic monitoring of the accumulating sample to correct deviations from recruitment targets, and a description of the recruitment procedures designed to foster a collaborative attitude between the researchers, the schools and the local communities, are provided. …”
Get full text

Climate change adaptation strategies by smallholder farmers in Nigeria: does non-farm employment play any role? by Gideon Danso-Abbeam, Temitope O. Ojo, Lloyd J.S. Baiyegunhi, Abiodun A. Ogundeji

“…This study employs a cross-sectional data to examine whether rural households in Southwest Nigeria are increasing the extent of climate change adaptation practices through their participation in non-farm employment. To account for selectivity bias, the study used endogenous treatment effect for count data model (precisely Poisson) augmented with the inverse probability-weighted-regression-adjustment (IPWRA) estimator. …”
Get full text

A review of gene selection tools in classifying cancer microarray data by Shi, T. W., Kah, W. S., Mohamad, M. S., Moorthy, K., Deris, S., Sjaugi, M. F., Omatu, S., Corchado, J. M., Kasim, S.

“…Conclusion: A suitable and user-friendly tool for users and biomedical researchers should be developed to avoid selection biases and allow analysis of multiple solutions.…”

Quasars: Standard Candles up to z = 7.5 with the Precision of Supernovae Ia by M. G. Dainotti, G. Bargiacchi, A. Ł. Lenart, S. Nagataki, S. Capozziello

“…Our results show the importance of correcting cosmological relationships for selection biases and redshift evolution and how the choice of a golden sample reduces considerably the intrinsic scatter. …”
Get full text

Promoting subjective preferences in simple economic choices during nap by Sizhi Ai, Yunlu Yin, Yu Chen, Cong Wang, Yan Sun, Xiangdong Tang, Lin Lu, Lusha Zhu, Jie Shi

“…Here, we show that neural processing during sleep can selectively bias preferences in simple economic choices when the sleeper is stimulated by covert, reward-associated cues. …”
Get full text

Addendum: Observation-based solar and wind power capacity factors and power densities (2018 Environ. Res. Lett. 13 104008) by Lee M Miller, David W Keith

“…Specifically, here we: (1) illustrate our method by showing in greater detail how it works for the 2 wind power plants from figure 1 of the original study, (2) identify potential selection biases in the sampling of wind power plants used in our study, (3) provide a comparative overview of the various prior published estimates in graphical form, and, (4) conclude with a description of the data we are releasing publicly.…”
Get full text

Estimation of clinical trial success rates and related parameters by Wong, Chi Heem, Siah, Kien Wei, Lo, Andrew W

“…Previous estimates of drug development success rates rely on relatively small samples from databases curated by the pharmaceutical industry and are subject to potential selection biases. Using a sample of 406 038 entries of clinical trial data for over 21 143 compounds from January 1, 2000 to October 31, 2015, we estimate aggregate clinical trial success rates and durations. …”
Get full text