Showing 1 - 20 results of 59 for search '(("selection bias") OR ((("injection based") OR ("population based"))))', query time: 0.49s Refine Results
  1. 1
  2. 2

    Ensemble strategies for population-based optimization algorithms – a survey by Wu, Guohua, Mallipeddi, Rammohan, Suganthan, Ponnuthurai Nagaratnam

    Published 2021
    “…In population-based optimization algorithms (POAs), given an optimization problem, the quality of the solutions depends heavily on the selection of algorithms, strategies and associated parameter combinations, constraint handling method, local search method, surrogate model, niching method, etc. …”
    Get full text
    Journal Article
  3. 3
  4. 4
  5. 5

    Incidence, prevalence, and survival of lung cancer in the United Kingdom from 2000–2021: a population-based cohort study by Corby, G, Barclay, NL, Tan, EH, Burn, E, Delmestri, A, Duarte-Salles, T, Golozar, A, Man, WY, Tietzova, I, Prieto-Alhambra, D, Newby, D

    Published 2024
    “…</p> <p><b> Methods:</b> We performed a population-based cohort study using the UK primary care Clinical Practice Research Datalink (CPRD) GOLD database, compared with CPRD Aurum. …”
    Journal article
  6. 6

    A population-based cohort study examining the incidence and impact of psychotic experiences from childhood to adulthood, and prediction of psychotic disorder by Sullivan, SA, Kounali, D, Cannon, M, David, AS, Fletcher, PC, Holmans, P, Jones, H, Jones, PB, Linden, DEJ, Lewis, G, Owen, MJ, O'Donovan, M, Rammos, A, Thompson, A, Wolke, D, Heron, J, Zammit, S

    Published 2020
    “…<p><strong>Methods:</strong></p> This was a population-based cohort study using the semistructured Psychosis-Like Symptoms Interview at ages 12, 18, and 24 (N=7,900 with any data). …”
    Journal article
  7. 7

    Mortality rates among patients successfully treated for hepatitis C in the era of interferon-free antivirals: population based cohort study by Hamill, V, Wong, S, Benselin, J, Krajden, M, Hayes, PC, Mutimer, D, Yu, A, Dillon, JF, Gelson, W, Velásquez García, HA, Yeung, A, Johnson, P, Barclay, ST, Alvarez, M, Toyoda, H, Agarwal, K, Fraser, A, Bartlett, S, Aldersley, M, Bathgate, A, Binka, M, Richardson, P, Morling, JR, Ryder, SD, Barnes, E

    Published 2023
    “…Objectives: To quantify mortality rates for patients successfully treated for hepatitis C in the era of interferon-free, direct acting antivirals and compare these rates with those of the general population. Design: Population based cohort study. Setting: British Columbia, Scotland, and England (England cohort consists of patients with cirrhosis only). …”
    Journal article
  8. 8
  9. 9
  10. 10
  11. 11
  12. 12
  13. 13
  14. 14

    Comparative effectiveness of sodium-glucose cotransporter-2 inhibitors for new-onset gastric cancer and gastric diseases in patients with type 2 diabetes mellitus: a population-based cohort study by Chou, OHI, Chauhan, VK, Chung, CTS, Lu, L, Lee, TTL, Ng, ZMW, Wang, KKW, Lee, S, Liu, H, Pang, RTK, Kaewdech, A, Cheung, BMY, Tse, G, Zhou, J

    Published 2024
    “…</p> <p><strong>Design: </strong>This was a population-based cohort study of prospectively collected data on patients with T2DM prescribed SGLT2I, DPP4I or GLP1a between January 1st 2015 and December 31st 2020 from Hong Kong. …”
    Journal article
  15. 15

    The UK Breast Cancer in Pregnancy (UKBCiP) Study. Incidence, diagnosis, management and short-term outcomes of breast cancer first diagnosed during pregnancy in the United Kingdom: a population-based descriptive study by Hardy, C, Brand, A, Jones, J, Knight, M, Banfield, P

    Published 2024
    “…</p> <br> <p><strong>Methods:</strong> This population-based descriptive study used the UK Obstetric Surveillance System (UKOSS). …”
    Journal article
  16. 16

    Principled Exploration of Bipyridine and Terpyridine Additives to Promote Methylammonium Lead Iodide Perovskite Crystallization by Hartono, Noor Titan Putri, Ani Najeeb, Mansoor, Li, Zhi, Nega, Philip W., Fleming, Clare A., Sun, Xiaohe, Chan, Emory M., Abate, Antonio, Norquist, Alexander J., Schrier, Joshua, Buonassisi, Tonio

    Published 2024
    “…We present a systematic exploration of nine (9) bipyridine- and terpyridine-based additives selected from 29 candidates using high-throughput single-crystal growth. To combat selection bias and generate hypotheses for future experimental cycles of learning, we featurize candidate additives using Mordred descriptors and compare similarity metrics. …”
    Get full text
    Article
  17. 17

    Methodological, political and legal issues in the assessment of the effects of nanotechnology on human health by Schulte, Paul A, Riediker, Michael, Fatkhutdinova, Liliya, Bergamaschi, Enrico, Canu, Irina Guseva

    Published 2019
    “…Forming ENM worker cohorts from a combination of smaller cohorts and overcoming selection bias are also challenges. National or international registries for monitoring the exposures and health of ENM workers would be helpful for epidemiological studies, but the creation of such a registry and ENM worker cohorts will require political support and dedicated funding at the national and international levels. …”
    Get full text
    Get full text
    Journal Article
  18. 18

    The GCSE attainment gap: assessing the influence of permanent school exclusion by Hills, Stephen, Walker, Matthew, Guinn, James, Kent, Aubrey

    Published 2025
    “…This is a critical limitation of the research due to the influence of confounding variables and sample selection bias. Using the National Pupil Database and a full cohort of UK pupils (N=590,092), our analysis tracked a sample of 1,490 pupils permanently excluded in year 11 of the English education system in 2018/19. …”
    Get full text
    Get full text
    Article
  19. 19

    Self-configurable memetic algorithm by Le, Minh Nghia

    Published 2012
    “…Memetic Algorithm (MA), as a form of hybridization between population-based and individual-based searches, represents one of the recent growing areas in evolutionary algorithm research. …”
    Get full text
    Thesis
  20. 20

    Strategies to increase response rate and reduce non-response bias in population health research: a series of randomised controlled trials during a large COVID-19 study by Atchison, CJ, Gilby, N, Pantelidou, G, Clemens, S, Pickering, K, Chadeau-Hyam, M, Ashby, D, Barclay, WS, Cooke, G, Darzi, A, Riley, S, Donnelly, C, Ward, H, Elliott, P

    Published 2025
    “…<p><strong>Background:</strong> High response rates are needed in population-based studies as non-response reduces effective sample size and bias affects accuracy and decreases generalizability of the study findings.…”
    Journal article