Search Results - "Karp, Natasha A"

Refine Results
  1. 1

    Statistical simulations show that scientists need not increase overall sample size by default when including both sexes in in vivo studies by Phillips, Benjamin, Haschler, Timo N, Karp, Natasha A

    Published in PLoS biology (08-06-2023)
    “…In recent years, there has been a strong drive to improve the inclusion of animals of both sexes in the design of in vivo research studies, driven by a need to…”
    Get full text
    Journal Article
  2. 2
  3. 3

    Reproducible preclinical research-Is embracing variability the answer? by Karp, Natasha A

    Published in PLoS biology (05-03-2018)
    “…Translational failures and replication issues of published research are undermining preclinical research and, if the outcomes are questionable, raise ethical…”
    Get full text
    Journal Article
  4. 4
  5. 5
  6. 6
  7. 7

    A qualitative study of the barriers to using blinding in in vivo experiments and suggestions for improvement by Karp, Natasha A, Pearl, Esther J, Stringer, Emma J, Barkus, Chris, Ulrichsen, Jane Coates, Percie du Sert, Nathalie

    Published in PLoS biology (17-11-2022)
    “…In animal experiments, blinding (also known as masking) is a methodological strategy to reduce the risk that scientists, animal care staff, or other staff…”
    Get full text
    Journal Article
  8. 8
  9. 9

    A response to "Realism and robustness require increased sample size when studying both sexes" by Phillips, Benjamin, Haschler, Timo N, Karp, Natasha A

    Published in PLoS biology (01-04-2024)
    “…[...]Drobniak and colleagues [2] argue that the variance between the sexes will inevitably differ due to Taylor’s law, where the mean and the standard…”
    Get full text
    Journal Article
  10. 10
  11. 11

    Addressing Accuracy and Precision Issues in iTRAQ Quantitation by Karp, Natasha A., Huber, Wolfgang, Sadowski, Pawel G., Charles, Philip D., Hester, Svenja V., Lilley, Kathryn S.

    Published in Molecular & cellular proteomics (01-09-2010)
    “…iTRAQ (isobaric tags for relative or absolute quantitation) is a mass spectrometry technology that allows quantitative comparison of protein abundance by…”
    Get full text
    Journal Article
  12. 12
  13. 13
  14. 14
  15. 15

    The Experimental Design Assistant by Percie du Sert, Nathalie, Bamsey, Ian, Bate, Simon T, Berdoy, Manuel, Clark, Robin A, Cuthill, Innes, Fry, Derek, Karp, Natasha A, Macleod, Malcolm, Moon, Lawrence, Stanford, S Clare, Lings, Brian

    Published in PLoS biology (28-09-2017)
    “…Addressing the common problems that researchers encounter when designing and analysing animal experiments will improve the reliability of in vivo research. In…”
    Get full text
    Journal Article
  16. 16

    PhenStat: A Tool Kit for Standardized Analysis of High Throughput Phenotypic Data by Kurbatova, Natalja, Mason, Jeremy C, Morgan, Hugh, Meehan, Terrence F, Karp, Natasha A

    Published in PloS one (06-07-2015)
    “…The lack of reproducibility with animal phenotyping experiments is a growing concern among the biomedical community. One contributing factor is the inadequate…”
    Get full text
    Journal Article
  17. 17
  18. 18

    Investigating sample pooling strategies for DIGE experiments to address biological variability by Karp, Natasha A, Lilley, Kathryn S

    Published in Proteomics (Weinheim) (01-01-2009)
    “…If biological questions are to be answered using quantitative proteomics, it is essential to design experiments which have sufficient power to be able to…”
    Get full text
    Journal Article
  19. 19

    Do multiple experimenters improve the reproducibility of animal studies? by von Kortzfleisch, Vanessa Tabea, Ambrée, Oliver, Karp, Natasha A, Meyer, Neele, Novak, Janja, Palme, Rupert, Rosso, Marianna, Touma, Chadi, Würbel, Hanno, Kaiser, Sylvia, Sachser, Norbert, Richter, S Helene

    Published in PLoS biology (05-05-2022)
    “…The credibility of scientific research has been seriously questioned by the widely claimed "reproducibility crisis". In light of this crisis, there is a…”
    Get full text
    Journal Article
  20. 20

    A common control group - optimising the experiment design to maximise sensitivity by Bate, Simon, Karp, Natasha A

    Published in PloS one (11-12-2014)
    “…Methods for choosing an appropriate sample size in animal experiments have received much attention in the statistical and biological literature. Due to ethical…”
    Get full text
    Journal Article