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Diagnostic test thresholds.

Internal medicine journal

Laking G.
PMID: 18715312
Intern Med J. 2008 Jul;38(7):614-5; author reply 615-6. doi: 10.1111/j.1445-5994.2008.01705.x.

No abstract available.

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Laking G. Diagnostic test thresholds. Intern Med J. 2008;38(7):614-5; author reply 615-6doi: 10.1111/j.1445-5994.2008.01705.x.
Laking, G. (2008). Diagnostic test thresholds. Internal medicine journal, 38(7), 614-5; author reply 615-6. https://doi.org/10.1111/j.1445-5994.2008.01705.x
Laking, G. "Diagnostic test thresholds." Internal medicine journal vol. 38,7 (2008): 614-5; author reply 615-6. doi: https://doi.org/10.1111/j.1445-5994.2008.01705.x
Laking G. Diagnostic test thresholds. Intern Med J. 2008 Jul;38(7):614-5; author reply 615-6. doi: 10.1111/j.1445-5994.2008.01705.x. PMID: 18715312.
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Click Chemistry-Mediated Nanosensors for Biochemical Assays.

Theranostics

Chen Y, Xianyu Y, Wu J, Yin B, Jiang X.
PMID: 27217831
Theranostics. 2016 Apr 28;6(7):969-85. doi: 10.7150/thno.14856. eCollection 2016.

Click chemistry combined with functional nanoparticles have drawn increasing attention in biochemical assays because they are promising in developing biosensors with effective signal transformation/amplification and straightforward signal readout for clinical diagnostic assays. In this review, we focus on the...

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Chen Y, Xianyu Y, Wu J, et al. Click Chemistry-Mediated Nanosensors for Biochemical Assays. Theranostics. 2016;6(7):969-85doi: 10.7150/thno.14856.
Chen, Y., Xianyu, Y., Wu, J., Yin, B., & Jiang, X. (2016). Click Chemistry-Mediated Nanosensors for Biochemical Assays. Theranostics, 6(7), 969-85. https://doi.org/10.7150/thno.14856
Chen, Yiping, et al. "Click Chemistry-Mediated Nanosensors for Biochemical Assays." Theranostics vol. 6,7 (2016): 969-85. doi: https://doi.org/10.7150/thno.14856
Chen Y, Xianyu Y, Wu J, Yin B, Jiang X. Click Chemistry-Mediated Nanosensors for Biochemical Assays. Theranostics. 2016 Apr 28;6(7):969-85. doi: 10.7150/thno.14856. eCollection 2016. PMID: 27217831; PMCID: PMC4876622.
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Response to Donner-Banzhoff.

Journal of clinical epidemiology

van den Bruel A, Perera R.
PMID: 24290897
J Clin Epidemiol. 2014 Feb;67(2):137. doi: 10.1016/j.jclinepi.2013.09.006. Epub 2013 Nov 26.

No abstract available.

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van den Bruel A, Perera R. Response to Donner-Banzhoff. J Clin Epidemiol. 2013;67(2):137doi: 10.1016/j.jclinepi.2013.09.006.
van den Bruel, A., & Perera, R. (2014). Response to Donner-Banzhoff. Journal of clinical epidemiology, 67(2), 137. https://doi.org/10.1016/j.jclinepi.2013.09.006
van den Bruel, Ann, and Perera, Rafael. "Response to Donner-Banzhoff." Journal of clinical epidemiology vol. 67,2 (2014): 137. doi: https://doi.org/10.1016/j.jclinepi.2013.09.006
van den Bruel A, Perera R. Response to Donner-Banzhoff. J Clin Epidemiol. 2014 Feb;67(2):137. doi: 10.1016/j.jclinepi.2013.09.006. Epub 2013 Nov 26. PMID: 24290897.
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Clinicians should not be forced to use likelihood ratios when comparing tests.

European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology

Cohen JF, Chalumeau M, Bossuyt PM.
PMID: 27696235
Eur J Clin Microbiol Infect Dis. 2017 Jan;36(1):195-196. doi: 10.1007/s10096-016-2800-z. Epub 2016 Oct 01.

No abstract available.

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Cohen JF, Chalumeau M, Bossuyt PM. Clinicians should not be forced to use likelihood ratios when comparing tests. Eur J Clin Microbiol Infect Dis. 2016;36(1):195-196doi: 10.1007/s10096-016-2800-z.
Cohen, J. F., Chalumeau, M., & Bossuyt, P. M. (2017). Clinicians should not be forced to use likelihood ratios when comparing tests. European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 36(1), 195-196. https://doi.org/10.1007/s10096-016-2800-z
Cohen, J F, et al. "Clinicians should not be forced to use likelihood ratios when comparing tests." European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology vol. 36,1 (2017): 195-196. doi: https://doi.org/10.1007/s10096-016-2800-z
Cohen JF, Chalumeau M, Bossuyt PM. Clinicians should not be forced to use likelihood ratios when comparing tests. Eur J Clin Microbiol Infect Dis. 2017 Jan;36(1):195-196. doi: 10.1007/s10096-016-2800-z. Epub 2016 Oct 01. PMID: 27696235.
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Clinicians should use likelihood ratios when comparing tests.

European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology

Bai AD, Showler A, Burry L, Steinberg M, Tomlinson GA, Bell CM, Morris AM.
PMID: 27722802
Eur J Clin Microbiol Infect Dis. 2017 Jan;36(1):197-198. doi: 10.1007/s10096-016-2801-y. Epub 2016 Oct 08.

No abstract available.

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Bai AD, Showler A, Burry L, et al. Clinicians should use likelihood ratios when comparing tests. Eur J Clin Microbiol Infect Dis. 2016;36(1):197-198doi: 10.1007/s10096-016-2801-y.
Bai, A. D., Showler, A., Burry, L., Steinberg, M., Tomlinson, G. A., Bell, C. M., & Morris, A. M. (2017). Clinicians should use likelihood ratios when comparing tests. European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 36(1), 197-198. https://doi.org/10.1007/s10096-016-2801-y
Bai, A D, et al. "Clinicians should use likelihood ratios when comparing tests." European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology vol. 36,1 (2017): 197-198. doi: https://doi.org/10.1007/s10096-016-2801-y
Bai AD, Showler A, Burry L, Steinberg M, Tomlinson GA, Bell CM, Morris AM. Clinicians should use likelihood ratios when comparing tests. Eur J Clin Microbiol Infect Dis. 2017 Jan;36(1):197-198. doi: 10.1007/s10096-016-2801-y. Epub 2016 Oct 08. PMID: 27722802.
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Studies of Medical Tests: Design and Analytical Considerations.

Chest

Bullen JA.
PMID: 32658645
Chest. 2020 Jul;158(1):S103-S112. doi: 10.1016/j.chest.2020.03.006.

Medical tests are procedures intended to detect, diagnose, characterize, or monitor a specific medical condition. Understanding the accuracy of a medical test is a critical part of informed decision-making in patient management, as it allows clinicians to appreciate the...

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Bullen JA. Studies of Medical Tests: Design and Analytical Considerations. Chest. 2020;158(1):S103-S112doi: 10.1016/j.chest.2020.03.006.
Bullen, J. A. (2020). Studies of Medical Tests: Design and Analytical Considerations. Chest, 158(1), S103-S112. https://doi.org/10.1016/j.chest.2020.03.006
Bullen, Jennifer A. "Studies of Medical Tests: Design and Analytical Considerations." Chest vol. 158,1 (2020): S103-S112. doi: https://doi.org/10.1016/j.chest.2020.03.006
Bullen JA. Studies of Medical Tests: Design and Analytical Considerations. Chest. 2020 Jul;158(1):S103-S112. doi: 10.1016/j.chest.2020.03.006. PMID: 32658645.
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What if They Don't Have Tuberculosis? The Consequences and Trade-offs Involved in False-positive Diagnoses of Tuberculosis.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

Houben RMGJ, Lalli M, Kranzer K, Menzies NA, Schumacher SG, Dowdy DW.
PMID: 29982375
Clin Infect Dis. 2019 Jan 01;68(1):150-156. doi: 10.1093/cid/ciy544.

To find the millions of missed tuberculosis (TB) cases, national TB programs are under pressure to expand TB disease screening and to target populations with lower disease prevalence. Together with imperfect performance and application of existing diagnostic tools, including...

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Houben RMGJ, Lalli M, Kranzer K, et al. What if They Don't Have Tuberculosis? The Consequences and Trade-offs Involved in False-positive Diagnoses of Tuberculosis. Clin Infect Dis. 2019;68(1):150-156doi: 10.1093/cid/ciy544.
Houben, R. M. G. J., Lalli, M., Kranzer, K., Menzies, N. A., Schumacher, S. G., & Dowdy, D. W. (2019). What if They Don't Have Tuberculosis? The Consequences and Trade-offs Involved in False-positive Diagnoses of Tuberculosis. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 68(1), 150-156. https://doi.org/10.1093/cid/ciy544
Houben, Rein M G J, et al. "What if They Don't Have Tuberculosis? The Consequences and Trade-offs Involved in False-positive Diagnoses of Tuberculosis." Clinical infectious diseases : an official publication of the Infectious Diseases Society of America vol. 68,1 (2019): 150-156. doi: https://doi.org/10.1093/cid/ciy544
Houben RMGJ, Lalli M, Kranzer K, Menzies NA, Schumacher SG, Dowdy DW. What if They Don't Have Tuberculosis? The Consequences and Trade-offs Involved in False-positive Diagnoses of Tuberculosis. Clin Infect Dis. 2019 Jan 01;68(1):150-156. doi: 10.1093/cid/ciy544. PMID: 29982375; PMCID: PMC6293007.
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Can the Schwarz and Lalouch concept of differentiating between explanatory and pragmatic studies be useful for diagnostic test studies?.

Journal of clinical epidemiology

Tugwell P, Knottnerus JA.
PMID: 31924314
J Clin Epidemiol. 2020 Jan;117:A6-A9. doi: 10.1016/j.jclinepi.2019.12.004.

No abstract available.

Cite
Tugwell P, Knottnerus JA. Can the Schwarz and Lalouch concept of differentiating between explanatory and pragmatic studies be useful for diagnostic test studies?. J Clin Epidemiol. 2020;117:A6-A9doi: 10.1016/j.jclinepi.2019.12.004.
Tugwell, P., & Knottnerus, J. A. (2020). Can the Schwarz and Lalouch concept of differentiating between explanatory and pragmatic studies be useful for diagnostic test studies?. Journal of clinical epidemiology, 117A6-A9. https://doi.org/10.1016/j.jclinepi.2019.12.004
Tugwell, Peter, and Knottnerus, J André. "Can the Schwarz and Lalouch concept of differentiating between explanatory and pragmatic studies be useful for diagnostic test studies?." Journal of clinical epidemiology vol. 117 (2020): A6-A9. doi: https://doi.org/10.1016/j.jclinepi.2019.12.004
Tugwell P, Knottnerus JA. Can the Schwarz and Lalouch concept of differentiating between explanatory and pragmatic studies be useful for diagnostic test studies?. J Clin Epidemiol. 2020 Jan;117:A6-A9. doi: 10.1016/j.jclinepi.2019.12.004. PMID: 31924314.
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Showing 1 to 8 of 8 entries