Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 172 for “"Selection bias"”.
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Corrections for Sample Selection Bias
… developed to correct for the effects of sample selection bias are examined for robustness to violations of assumptions in this Monte Carlo study. Corrections derived by Pearson (1903) for cases of explicit and incidental selection are found to be sensitive to variations in (1) the linearity of …
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Selection bias in the treatment evaluation of acute myelogenous leukemia
Contains fulltext : 145657.pdf (Publisher’s version ) (Open Access)
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A partial dependence factorial analysis to deal with selection bias in observational studis
… approach to dealing with the problem of selection bias. Selection bias may be the most important vexing problem in program evaluation or in any line of research that attempts to assert causality. Some of the greatest minds in economics and statistics have scrutinized the problem of …
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Selection Bias In Lung Allocation: Influence On Lung Allocation Score And Physician Decision-Making
… and clinical values, they do not account for selection bias, which arises because: (1) individuals are removed from the waitlist once they receive transplant (dependent censoring), and (2) in order to receive transplant, individuals must survive on the waitlist long enough for a suitable lung …
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Comparing Different Methods of Applying Propensity Score in Controlling Selection Bias for Studies of Prostate Cancer
… using observational data is how to control for selection bias. The objective of this study was to compare the performance of four common methods of applying propensity scores—covariate adjustment, stratification, matching, and inverse probability of treatment weighting—to adjust for confounding …
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Accounting for self-selection bias in assessing impacts of agricultural innovations : the case of farmer support programs in the Eastern Cape
… matching techniques was used to account for self-selection bias. After accounting for self-selection bias the results revealed that FSP adopters were on average 205% more efficient relative to non-adopters. These results underscore the importance of accounting for self-selection bias in …
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Permanency Outcomes of Children in Kinship and Non -Kinship Foster Care: Minimizing the Effects of Selection Bias With Propensity Score Matching
Analyses of proportions and survival times were conducted to investigate the permanency outcomes of children in relative and non-relative foster homes using unmatched and matched AFCARS samples. The permanency outcomes include reunification, adoption, and legal guardianship, length of stay, …
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Social Interactions and Network Formation -- EmpiricalModeling and Applications
… which will potentially cause a problem of selection bias in interaction outcomes. In order to handle this selection bias problem, I propose to model social interactions and network formation under a general framework.In the first chapter, an structural modeling approach for both friendship …
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Towards More Accurate Causal Inference with Instrumental Variables and Mendelian Randomisation Analyses
… method using real data examples from UK Biobank. Selection bias is a common issue in statistical applications which biases IV analyses. Starting with linear IV models, we firstly show that adjusting for measured confounders can reduce but cannot eliminate selection bias, and then provide …
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Farmland Conservation Easement Valuation Using an Attribute-based Choice Survey: Comparing Preferences within the United States, Georgia, Ohio and Maine
… cost (varied costs from $3 to $50) components. Selection bias was tested for in order to confirm that the respondents are an unbiased representation of the geographic areas sampled. If selection bias was present, it would need to be corrected for in order to aggregate the survey results to the …
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Robust and Fair Machine Learning under Distribution Shift
… build a robust framework to address the sample selection bias for fair classification. Next we solve the sample selection bias issue for fair regression. Finally, we propose an adversarial framework to build a personalized model in the distributed setting where the distribution shift exists …
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Alcohol income and health: a complicated but desirable mix
… is also examined. Potential endogeneity and selection bias is accounted for throughout. Endogeneity is where an independent variable included in the model is determined within the context of the model (Chenhall and Moers, 2007). An endogenous relationship between income and alcohol and …
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The simulation analysis on the accuracy and efficiency of MIT transaction index
… and Haurin (2003.) They address the sample selection bias and the noise effect of the transaction prices in small sample. To correct sample selection bias, MIT transaction index use the Heckman two-step. In addition to the correction of sample selection bias the MIT transaction based index …
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The determinants of off-farm employment and the impact of off-farm employment on food consumption in rural Ethiopia
… controlling for possible endogenous treatment selection bias.
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The economics of climate change vulnerability, adaptation and mitigation in Tanzania
… on their agricultural yields. In this study, selection bias is corrected using a Heckman sample selection model. A binary probit model is used as a selection equation to investigate the factors influencing a farmer’s decision to undertake any adaptation at all to climate change while a …
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Three Papers on the Black-White Mobility Gap in the United States
… at Random? An Analysis of the Effect of Sample Selection on Intergenerational Earnings Elasticities by Race Utilizing the Panel Study of Income Dynamics, I assess the effect of sample selection bias on estimates of intergenerational earnings elasticities for white and black father-son pairs, …
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Social networks, bargaining power within couples, and maternal health care in Tanzania
… that minimises the problem of omitted variable bias, the analysis suggests that these network effects increase the probability of antenatal care completion by an additional 6 to 35 percent, and may be as high as 59 percent. The study further finds that without adequate control of omitted …
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A copula approach to sample selection modeling of treatment adherence and viral suppression among HIV patients on antiretroviral therapy (ART) in Namibia
… adherence and viral suppression may result in biased estimates if sample selection is ignored. The study fit a joint distributional model of ART treatment adherence and viral suppression, to adjust for sample selection bias among HIV patients on ART in Namibia, to examine the presence of tail …
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The Effect of Education on Earnings and Employment in the Informal Sector in South Africa
… least squares with multinomial two-step selection corrections to control for both endogeneity of schooling and sector sample selection bias. Quantile regression and piecewise linear spline function methods were applied to deal with the heterogeneity of the returns to schooling. Moreover, …
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