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A valid nested case-control design?.

Journal of clinical epidemiology

Miller AB.
PMID: 2066742
J Clin Epidemiol. 1991;44(7):627-8; discussion 629-32. doi: 10.1016/0895-4356(91)90022-2.

No abstract available.

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Miller AB. A valid nested case-control design?. J Clin Epidemiol. 1991;44(7):627-8; discussion 629-32doi: 10.1016/0895-4356(91)90022-2.
Miller, A. B. (1991). A valid nested case-control design?. Journal of clinical epidemiology, 44(7), 627-8; discussion 629-32. https://doi.org/10.1016/0895-4356(91)90022-2
Miller, A B. "A valid nested case-control design?." Journal of clinical epidemiology vol. 44,7 (1991): 627-8; discussion 629-32. doi: https://doi.org/10.1016/0895-4356(91)90022-2
Miller AB. A valid nested case-control design?. J Clin Epidemiol. 1991;44(7):627-8; discussion 629-32. doi: 10.1016/0895-4356(91)90022-2. PMID: 2066742.
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Simultaneous interval estimates of the odds ratio in studies with two or more comparisons.

Journal of clinical epidemiology

Holford TR, Walter SD, Dunnett CW.
PMID: 2732770
J Clin Epidemiol. 1989;42(5):427-34. doi: 10.1016/0895-4356(89)90132-7.

More than one odds ratio estimate will often arise from a single epidemiologic study. Examples of designs where this may occur include those where there is more than one case or control group, and investigations of several risk factors...

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Holford TR, Walter SD, Dunnett CW. Simultaneous interval estimates of the odds ratio in studies with two or more comparisons. J Clin Epidemiol. 1989;42(5):427-34doi: 10.1016/0895-4356(89)90132-7.
Holford, T. R., Walter, S. D., & Dunnett, C. W. (1989). Simultaneous interval estimates of the odds ratio in studies with two or more comparisons. Journal of clinical epidemiology, 42(5), 427-34. https://doi.org/10.1016/0895-4356(89)90132-7
Holford, T R, et al. "Simultaneous interval estimates of the odds ratio in studies with two or more comparisons." Journal of clinical epidemiology vol. 42,5 (1989): 427-34. doi: https://doi.org/10.1016/0895-4356(89)90132-7
Holford TR, Walter SD, Dunnett CW. Simultaneous interval estimates of the odds ratio in studies with two or more comparisons. J Clin Epidemiol. 1989;42(5):427-34. doi: 10.1016/0895-4356(89)90132-7. PMID: 2732770.
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Clinical epidemiology: further consideration.

Journal of clinical epidemiology

Tobacman JK, Wenzel RP.
PMID: 2370569
J Clin Epidemiol. 1990;43(7):633-5. doi: 10.1016/0895-4356(90)90032-k.

No abstract available.

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Tobacman JK, Wenzel RP. Clinical epidemiology: further consideration. J Clin Epidemiol. 1990;43(7):633-5doi: 10.1016/0895-4356(90)90032-k.
Tobacman, J. K., & Wenzel, R. P. (1990). Clinical epidemiology: further consideration. Journal of clinical epidemiology, 43(7), 633-5. https://doi.org/10.1016/0895-4356(90)90032-k
Tobacman, J K, and Wenzel, R P. "Clinical epidemiology: further consideration." Journal of clinical epidemiology vol. 43,7 (1990): 633-5. doi: https://doi.org/10.1016/0895-4356(90)90032-k
Tobacman JK, Wenzel RP. Clinical epidemiology: further consideration. J Clin Epidemiol. 1990;43(7):633-5. doi: 10.1016/0895-4356(90)90032-k. PMID: 2370569.
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A simple formula for the calculation of sample size in pilot studies.

Journal of clinical epidemiology

Viechtbauer W, Smits L, Kotz D, Budé L, Spigt M, Serroyen J, Crutzen R.
PMID: 26146089
J Clin Epidemiol. 2015 Nov;68(11):1375-9. doi: 10.1016/j.jclinepi.2015.04.014. Epub 2015 Jun 06.

One of the goals of a pilot study is to identify unforeseen problems, such as ambiguous inclusion or exclusion criteria or misinterpretations of questionnaire items. Although sample size calculation methods for pilot studies have been proposed, none of them...

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Viechtbauer W, Smits L, Kotz D, et al. A simple formula for the calculation of sample size in pilot studies. J Clin Epidemiol. 2015;68(11):1375-9doi: 10.1016/j.jclinepi.2015.04.014.
Viechtbauer, W., Smits, L., Kotz, D., Budé, L., Spigt, M., Serroyen, J., & Crutzen, R. (2015). A simple formula for the calculation of sample size in pilot studies. Journal of clinical epidemiology, 68(11), 1375-9. https://doi.org/10.1016/j.jclinepi.2015.04.014
Viechtbauer, Wolfgang, et al. "A simple formula for the calculation of sample size in pilot studies." Journal of clinical epidemiology vol. 68,11 (2015): 1375-9. doi: https://doi.org/10.1016/j.jclinepi.2015.04.014
Viechtbauer W, Smits L, Kotz D, Budé L, Spigt M, Serroyen J, Crutzen R. A simple formula for the calculation of sample size in pilot studies. J Clin Epidemiol. 2015 Nov;68(11):1375-9. doi: 10.1016/j.jclinepi.2015.04.014. Epub 2015 Jun 06. PMID: 26146089.
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Controversy and debate on clinical genomics sequencing-paper 3: response to "clinical genome-wide sequencing: do not throw out the baby with the bathwater".

Journal of clinical epidemiology

Wilson BJ, Miller FA, Rousseau F.
PMID: 28912001
J Clin Epidemiol. 2017 Dec;92:11-12. doi: 10.1016/j.jclinepi.2017.08.019. Epub 2017 Sep 11.

No abstract available.

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Wilson BJ, Miller FA, Rousseau F. Controversy and debate on clinical genomics sequencing-paper 3: response to "clinical genome-wide sequencing: do not throw out the baby with the bathwater". J Clin Epidemiol. 2017;92:11-12doi: 10.1016/j.jclinepi.2017.08.019.
Wilson, B. J., Miller, F. A., & Rousseau, F. (2017). Controversy and debate on clinical genomics sequencing-paper 3: response to "clinical genome-wide sequencing: do not throw out the baby with the bathwater". Journal of clinical epidemiology, 9211-12. https://doi.org/10.1016/j.jclinepi.2017.08.019
Wilson, Brenda J, et al. "Controversy and debate on clinical genomics sequencing-paper 3: response to "clinical genome-wide sequencing: do not throw out the baby with the bathwater"." Journal of clinical epidemiology vol. 92 (2017): 11-12. doi: https://doi.org/10.1016/j.jclinepi.2017.08.019
Wilson BJ, Miller FA, Rousseau F. Controversy and debate on clinical genomics sequencing-paper 3: response to "clinical genome-wide sequencing: do not throw out the baby with the bathwater". J Clin Epidemiol. 2017 Dec;92:11-12. doi: 10.1016/j.jclinepi.2017.08.019. Epub 2017 Sep 11. PMID: 28912001.
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Comparative effectiveness medicines research cannot assess efficacy.

Journal of clinical epidemiology

Dal-Ré R, Carcas AJ.
PMID: 28919461
J Clin Epidemiol. 2017 Dec;92:129. doi: 10.1016/j.jclinepi.2017.09.008. Epub 2017 Sep 14.

No abstract available.

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Dal-Ré R, Carcas AJ. Comparative effectiveness medicines research cannot assess efficacy. J Clin Epidemiol. 2017;92:129doi: 10.1016/j.jclinepi.2017.09.008.
Dal-Ré, R., & Carcas, A. J. (2017). Comparative effectiveness medicines research cannot assess efficacy. Journal of clinical epidemiology, 92129. https://doi.org/10.1016/j.jclinepi.2017.09.008
Dal-Ré, Rafael, and Carcas, Antonio J. "Comparative effectiveness medicines research cannot assess efficacy." Journal of clinical epidemiology vol. 92 (2017): 129. doi: https://doi.org/10.1016/j.jclinepi.2017.09.008
Dal-Ré R, Carcas AJ. Comparative effectiveness medicines research cannot assess efficacy. J Clin Epidemiol. 2017 Dec;92:129. doi: 10.1016/j.jclinepi.2017.09.008. Epub 2017 Sep 14. PMID: 28919461.
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There is no hierarchy in the first place-a comment on Jürgen Windeler.

Journal of clinical epidemiology

Walach H.
PMID: 26845743
J Clin Epidemiol. 2016 Jul;75:128-9. doi: 10.1016/j.jclinepi.2016.01.025. Epub 2016 Feb 02.

No abstract available.

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Walach H. There is no hierarchy in the first place-a comment on Jürgen Windeler. J Clin Epidemiol. 2016;75:128-9doi: 10.1016/j.jclinepi.2016.01.025.
Walach, H. (2016). There is no hierarchy in the first place-a comment on Jürgen Windeler. Journal of clinical epidemiology, 75128-9. https://doi.org/10.1016/j.jclinepi.2016.01.025
Walach, Harald. "There is no hierarchy in the first place-a comment on Jürgen Windeler." Journal of clinical epidemiology vol. 75 (2016): 128-9. doi: https://doi.org/10.1016/j.jclinepi.2016.01.025
Walach H. There is no hierarchy in the first place-a comment on Jürgen Windeler. J Clin Epidemiol. 2016 Jul;75:128-9. doi: 10.1016/j.jclinepi.2016.01.025. Epub 2016 Feb 02. PMID: 26845743.
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There is no reverse hierarchy (letter commenting: J Clin Epidemiol. 2015;68(11):1251--1260.).

Journal of clinical epidemiology

Windeler J.
PMID: 26845746
J Clin Epidemiol. 2016 Jul;75:127-8. doi: 10.1016/j.jclinepi.2016.01.026. Epub 2016 Feb 02.

No abstract available.

Cite
Windeler J. There is no reverse hierarchy (letter commenting: J Clin Epidemiol. 2015;68(11):1251--1260.). J Clin Epidemiol. 2016;75:127-8doi: 10.1016/j.jclinepi.2016.01.026.
Windeler, J. (2016). There is no reverse hierarchy (letter commenting: J Clin Epidemiol. 2015;68(11):1251--1260.). Journal of clinical epidemiology, 75127-8. https://doi.org/10.1016/j.jclinepi.2016.01.026
Windeler, Jürgen. "There is no reverse hierarchy (letter commenting: J Clin Epidemiol. 2015;68(11):1251--1260.)." Journal of clinical epidemiology vol. 75 (2016): 127-8. doi: https://doi.org/10.1016/j.jclinepi.2016.01.026
Windeler J. There is no reverse hierarchy (letter commenting: J Clin Epidemiol. 2015;68(11):1251--1260.). J Clin Epidemiol. 2016 Jul;75:127-8. doi: 10.1016/j.jclinepi.2016.01.026. Epub 2016 Feb 02. PMID: 26845746.
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Competing risk bias was common in Kaplan-Meier risk estimates published in prominent medical journals.

Journal of clinical epidemiology

van Walraven C, McAlister FA.
PMID: 26232083
J Clin Epidemiol. 2016 Jan;69:170-3.e8. doi: 10.1016/j.jclinepi.2015.07.006. Epub 2015 Jul 29.

OBJECTIVE: Risk estimates from Kaplan-Meier curves are well known to medical researchers, reviewers, and editors. In this study, we determined the proportion of Kaplan-Meier analyses published in prominent medical journals that are potentially biased because of competing events ("competing...

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van Walraven C, McAlister FA. Competing risk bias was common in Kaplan-Meier risk estimates published in prominent medical journals. J Clin Epidemiol. 2015;69:170-3.e8doi: 10.1016/j.jclinepi.2015.07.006.
van Walraven, C., & McAlister, F. A. (2016). Competing risk bias was common in Kaplan-Meier risk estimates published in prominent medical journals. Journal of clinical epidemiology, 69170-3.e8. https://doi.org/10.1016/j.jclinepi.2015.07.006
van Walraven, Carl, and McAlister, Finlay A. "Competing risk bias was common in Kaplan-Meier risk estimates published in prominent medical journals." Journal of clinical epidemiology vol. 69 (2016): 170-3.e8. doi: https://doi.org/10.1016/j.jclinepi.2015.07.006
van Walraven C, McAlister FA. Competing risk bias was common in Kaplan-Meier risk estimates published in prominent medical journals. J Clin Epidemiol. 2016 Jan;69:170-3.e8. doi: 10.1016/j.jclinepi.2015.07.006. Epub 2015 Jul 29. PMID: 26232083.
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Fixing flaws in science must be professionalized.

Journal of clinical epidemiology

Goldacre B, Brown T.
PMID: 26148833
J Clin Epidemiol. 2016 Feb;70:267-9. doi: 10.1016/j.jclinepi.2015.06.018. Epub 2015 Jul 03.

No abstract available.

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Goldacre B, Brown T. Fixing flaws in science must be professionalized. J Clin Epidemiol. 2015;70:267-9doi: 10.1016/j.jclinepi.2015.06.018.
Goldacre, B., & Brown, T. (2016). Fixing flaws in science must be professionalized. Journal of clinical epidemiology, 70267-9. https://doi.org/10.1016/j.jclinepi.2015.06.018
Goldacre, Ben, and Brown, Tracey. "Fixing flaws in science must be professionalized." Journal of clinical epidemiology vol. 70 (2016): 267-9. doi: https://doi.org/10.1016/j.jclinepi.2015.06.018
Goldacre B, Brown T. Fixing flaws in science must be professionalized. J Clin Epidemiol. 2016 Feb;70:267-9. doi: 10.1016/j.jclinepi.2015.06.018. Epub 2015 Jul 03. PMID: 26148833.
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Standards and guidelines for observational studies: quality is in the eye of the beholder.

Journal of clinical epidemiology

Morton SC, Costlow MR, Graff JS, Dubois RW.
PMID: 26548541
J Clin Epidemiol. 2016 Mar;71:3-10. doi: 10.1016/j.jclinepi.2015.10.014. Epub 2015 Nov 05.

OBJECTIVES: Patient care decisions demand high-quality research. To assist those decisions, numerous observational studies are being performed. Are the standards and guidelines to assess observational studies consistent and actionable? What policy considerations should be considered to ensure decision makers...

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Morton SC, Costlow MR, Graff JS, et al. Standards and guidelines for observational studies: quality is in the eye of the beholder. J Clin Epidemiol. 2015;71:3-10doi: 10.1016/j.jclinepi.2015.10.014.
Morton, S. C., Costlow, M. R., Graff, J. S., & Dubois, R. W. (2016). Standards and guidelines for observational studies: quality is in the eye of the beholder. Journal of clinical epidemiology, 713-10. https://doi.org/10.1016/j.jclinepi.2015.10.014
Morton, Sally C, et al. "Standards and guidelines for observational studies: quality is in the eye of the beholder." Journal of clinical epidemiology vol. 71 (2016): 3-10. doi: https://doi.org/10.1016/j.jclinepi.2015.10.014
Morton SC, Costlow MR, Graff JS, Dubois RW. Standards and guidelines for observational studies: quality is in the eye of the beholder. J Clin Epidemiol. 2016 Mar;71:3-10. doi: 10.1016/j.jclinepi.2015.10.014. Epub 2015 Nov 05. PMID: 26548541.
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We need another guideline.

Journal of clinical epidemiology

Buckley BS.
PMID: 24794699
J Clin Epidemiol. 2014 Aug;67(8):958-9. doi: 10.1016/j.jclinepi.2014.03.011. Epub 2014 Apr 29.

No abstract available.

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Buckley BS. We need another guideline. J Clin Epidemiol. 2014;67(8):958-9doi: 10.1016/j.jclinepi.2014.03.011.
Buckley, B. S. (2014). We need another guideline. Journal of clinical epidemiology, 67(8), 958-9. https://doi.org/10.1016/j.jclinepi.2014.03.011
Buckley, Brian S. "We need another guideline." Journal of clinical epidemiology vol. 67,8 (2014): 958-9. doi: https://doi.org/10.1016/j.jclinepi.2014.03.011
Buckley BS. We need another guideline. J Clin Epidemiol. 2014 Aug;67(8):958-9. doi: 10.1016/j.jclinepi.2014.03.011. Epub 2014 Apr 29. PMID: 24794699.
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Showing 1 to 12 of 937 entries