Showing 361 - 380 results of 2,585 for search '"selection bias"', query time: 0.64s Refine Results
  1. 361

    Grassland Transfer and Its Income Effect: Evidence from Pastoral Areas of the Qinghai–Tibet Plateau by Zeng Tang, Shiqi Guan, Menglin Zhao, Lijia Wang, Ying Liu, Yubing Fan

    Published 2022-11-01
    “…After correcting for the selection bias, the income effect of grassland transfer became larger. …”
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    Article
  2. 362

    Molecular epidemiology of Mycobacterium tuberculosis complex in Singapore, 2006-2012. by Leo Kang-Yang Lim, Li Hwei Sng, Wah Win, Cynthia Bin-Eng Chee, Li Yang Hsu, Estelle Mak, Arul Earnest, Marcus Eng-Hock Ong, Jeffery Cutter, Yee Tang Wang

    Published 2013-01-01
    “…Multidrug-resistance was present in 91 (5.6%) isolates - higher than the national prevalence in view of selection bias. The majority of isolates belonged to the Beijing (45.8%) and EAI (22.8%) lineages. …”
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    Article
  3. 363

    Causal discovery with ancestral graphs by Hu, Z

    Published 2023
    “…While DAGs excel in illustrating causal relationships, they fail to capture all the conditional independences on the margin in the absence of latent confounders and selection bias. MAGs provide a more comprehensive depiction of complex dependencies by encompassing both direct causal connections and indirect influences stemming from latent variables and selection bias.…”
    Thesis
  4. 364

    Evaluating the impact of biodiversity offsetting on native vegetation by Zu Ermgassen, SOSE, Devenish, K, Simmons, BA, Gordon, A, Jones, JPG, Maron, M, Schulte To Bühne, H, Sharma, R, Sonter, LJ, Strange, N, Ward, M, Bull, JW

    Published 2023
    “…The results highlight the importance of considering self-selection bias in the design and evaluation of regulatory biodiversity offsetting policy, and the challenges of conducting robust impact evaluations of jurisdictional biodiversity offsetting policies.…”
    Journal article
  5. 365

    Validation of a prospective cohort study of older adults with hip fractures by Metcalfe, D, Costa, M, Parsons, N, Achten, J, Masters, J, Png, ME, Lamb, S, Griffin, X

    Published 2019
    “…</br> <br><strong>Conclusion: </strong>There is evidence of a weak selection bias towards recruiting fitter patients within the WHiTE cohort, which will help to put into context the findings of future studies. …”
    Journal article
  6. 366

    The impact of health status and smoking behaviour on Indonesian labor wage by Heni Wahyuni

    Published 2016-04-01
    “…We investigate using Indonesian Family Life Survey (IFLS) data and two-step Heckman correction to deal with sample selection bias. We found that there is significance relationships between all socioeconomic variables and wage both for smokers and non-smokers. …”
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    Article
  7. 367

    The impact of health status and smoking behaviour on Indonesian labor wage by Heni Wahyuni

    Published 2016-04-01
    “…We investigate using Indonesian Family Life Survey (IFLS) data and two-step Heckman correction to deal with sample selection bias. We found that there is significance relationships between all socioeconomic variables and wage both for smokers and non-smokers. …”
    Get full text
    Article
  8. 368

    The impact of health status and smoking behaviour on Indonesian labor wage by Heni Wahyuni

    Published 2016-04-01
    “…We investigate using Indonesian Family Life Survey (IFLS) data and two-step Heckman correction to deal with sample selection bias. We found that there is significance relationships between all socioeconomic variables and wage both for smokers and non-smokers. …”
    Get full text
    Article
  9. 369

    The impact of health status and smoking behaviour on Indonesian labor wage by Heni Wahyuni

    Published 2016-04-01
    “…We investigate using Indonesian Family Life Survey (IFLS) data and two-step Heckman correction to deal with sample selection bias. We found that there is significance relationships between all socioeconomic variables and wage both for smokers and non-smokers. …”
    Get full text
    Article
  10. 370

    Markov Analysis of an Alternative to Pure Random Assignment by Bier, Vicki M.

    Published 2004
    “…The vulnerability of this method to intentional selection bias will be explored using Markov methods of analysis.…”
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    Working Paper
  11. 371

    The Impact of Health Expenditure on COVID-19 mortality by M. A. Ovsiannikova

    Published 2022-10-01
    “…Leading threats to the internal validity of this study are omitted variable bias and sample selection bias. Some ways in which this study can be built upon are suggested.…”
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    Article
  12. 372

    Uncovering interpretable potential confounders in electronic medical records by Jiaming Zeng, Michael F. Gensheimer, Daniel L. Rubin, Susan Athey, Ross D. Shachter

    Published 2022-02-01
    “…Randomized clinical trials are often plagued by selection bias, and expert-selected covariates may insufficiently adjust for confounding factors. …”
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    Article
  13. 373

    Linear Models: A Useful “Microscope” for Causal Analysis by Pearl Judea

    Published 2013-05-01
    “…This includes: Simpson’s paradox, case–control bias, selection bias, missing data, collider bias, reverse regression, bias amplification, near instruments, and measurement errors.…”
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    Article
  14. 374

    The impact of health status and smoking behaviour on Indonesian labor wage by Heni Wahyuni

    Published 2016-04-01
    “…We investigate using Indonesian Family Life Survey (IFLS) data and two-step Heckman correction to deal with sample selection bias. We found that there is significance relationships between all socioeconomic variables and wage both for smokers and non-smokers. …”
    Get full text
    Article
  15. 375

    Astrophysics: is a doomsday catastrophe likely? by Tegmark, M, Bostrom, N

    Published 2005
    “…Here we derive a new upper bound of one per billion years (99.9% confidence level) for the exogenous terminal-catastrophe rate that is free of such selection bias, using calculations based on the relatively late formation time of Earth.…”
    Journal article
  16. 376

    Event dependent overall survival in the population-based LIFE-Adult-Study by Samira Zeynalova, Katja Rillich, Eike Linnebank, Tina Stegmann, Michael Brosig, Matthias Reusche, Markus Loeffler

    Published 2022-01-01
    “…<h4>Results</h4> The mortality rate of the participants is approximately half the mortality rate expected for the german population. The selection bias in epidemiological studies needs to be considered whenever interpreting results of epidemiological cohort studies. …”
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    Article
  17. 377

    Screening for the high-need population using single institution versus state-wide admissions discharge transfer feed by Francis Salvador Balucan, Benjamin French, Yaping Shi, Sunil Kripalani, Eduard E. Vasilevskis

    Published 2023-10-01
    “…In VUMC’s high-need patients, there’s minimal selection bias when depending on same-site utilization. …”
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    Article
  18. 378

    Effect of polyethylene glycol 20 000 on protein extraction efficiency of formalin-fixed paraffin-embedded tissues in South Africa by Sophia Rossouw, Hocine Bendou, Liam Bell, Jonathan Rigby, Alan Christoffels

    Published 2021-12-01
    “…However, no differences were observed with regard to protein selection bias. We found that higher protein concentrations ( 10 µg) compromised the function of PEG. …”
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    Article
  19. 379

    Event dependent overall survival in the population-based LIFE-Adult-Study. by Samira Zeynalova, Katja Rillich, Eike Linnebank, Tina Stegmann, Michael Brosig, Matthias Reusche, Markus Loeffler

    Published 2022-01-01
    “…<h4>Results</h4>The mortality rate of the participants is approximately half the mortality rate expected for the german population. The selection bias in epidemiological studies needs to be considered whenever interpreting results of epidemiological cohort studies. …”
    Get full text
    Article
  20. 380

    Self-reported ill health in male UK Gulf War veterans: a retrospective cohort study by Doyle Pat, Maconochie Noreen, Simmons Rebecca

    Published 2004-07-01
    “…Many studies of post-Gulf morbidity are based on relatively small sample sizes and selection bias is often a concern. In a setting where selection bias relating to the ill health of veterans may be reduced, we: i) examined self-reported adult ill health in a large sample of male UK Gulf War veterans and a demographically similar non-deployed comparison group; and ii) explored self-reported ill health among veterans who believed that they had Gulf War syndrome.…”
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    Article