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Showing 1 to 12 of 29 entries
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Confidence intervals in procedural dermatology: an intuitive approach to interpreting data.

Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.]

Alam M, Barzilai DA, Wrone DA.
PMID: 15871325
Dermatol Surg. 2005 Apr;31(4):462-6. doi: 10.1111/j.1524-4725.2005.31115.

BACKGROUND: Significant differences observed in therapeutic trials in procedural dermatology are typically denoted by p values of less than .05. Alternatively, significance can be conveyed by use of confidence intervals.OBJECTIVES: The purpose of this article is to clarify how...

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Alam M, Barzilai DA, Wrone DA. Confidence intervals in procedural dermatology: an intuitive approach to interpreting data. Dermatol Surg. 2005;31(4):462-6doi: 10.1111/j.1524-4725.2005.31115.
Alam, M., Barzilai, D. A., & Wrone, D. A. (2005). Confidence intervals in procedural dermatology: an intuitive approach to interpreting data. Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.], 31(4), 462-6. https://doi.org/10.1111/j.1524-4725.2005.31115
Alam, Murad, et al. "Confidence intervals in procedural dermatology: an intuitive approach to interpreting data." Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.] vol. 31,4 (2005): 462-6. doi: https://doi.org/10.1111/j.1524-4725.2005.31115
Alam M, Barzilai DA, Wrone DA. Confidence intervals in procedural dermatology: an intuitive approach to interpreting data. Dermatol Surg. 2005 Apr;31(4):462-6. doi: 10.1111/j.1524-4725.2005.31115. PMID: 15871325.
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Confidence intervals and replication: where will the next mean fall?.

Psychological methods

Cumming G, Maillardet R.
PMID: 16953701
Psychol Methods. 2006 Sep;11(3):217-27. doi: 10.1037/1082-989X.11.3.217.

Confidence intervals (CIs) give information about replication, but many researchers have misconceptions about this information. One problem is that the percentage of future replication means captured by a particular CI varies markedly, depending on where in relation to the...

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Cumming G, Maillardet R. Confidence intervals and replication: where will the next mean fall?. Psychol Methods. 2006;11(3):217-27doi: 10.1037/1082-989X.11.3.217.
Cumming, G., & Maillardet, R. (2006). Confidence intervals and replication: where will the next mean fall?. Psychological methods, 11(3), 217-27. https://doi.org/10.1037/1082-989X.11.3.217
Cumming, Geoff, and Maillardet, Robert. "Confidence intervals and replication: where will the next mean fall?." Psychological methods vol. 11,3 (2006): 217-27. doi: https://doi.org/10.1037/1082-989X.11.3.217
Cumming G, Maillardet R. Confidence intervals and replication: where will the next mean fall?. Psychol Methods. 2006 Sep;11(3):217-27. doi: 10.1037/1082-989X.11.3.217. PMID: 16953701.
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Qualitative research and its place in psychological science.

Psychological methods

Madill A, Gough B.
PMID: 18778154
Psychol Methods. 2008 Sep;13(3):254-71. doi: 10.1037/a0013220.

In discussing the place of diverse qualitative research within psychological science, the authors highlight the potential permeability of the quantitative-qualitative boundary and identify different ways of increasing communication between researchers specializing in different methods. Explicating diversity within qualitative research...

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Madill A, Gough B. Qualitative research and its place in psychological science. Psychol Methods. 2008;13(3):254-71doi: 10.1037/a0013220.
Madill, A., & Gough, B. (2008). Qualitative research and its place in psychological science. Psychological methods, 13(3), 254-71. https://doi.org/10.1037/a0013220
Madill, Anna, and Gough, Brendan. "Qualitative research and its place in psychological science." Psychological methods vol. 13,3 (2008): 254-71. doi: https://doi.org/10.1037/a0013220
Madill A, Gough B. Qualitative research and its place in psychological science. Psychol Methods. 2008 Sep;13(3):254-71. doi: 10.1037/a0013220. PMID: 18778154.
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Confidence interval construction for a difference between two dependent intraclass correlation coefficients.

Statistics in medicine

Ramasundarahettige CF, Donner A, Zou GY.
PMID: 19142855
Stat Med. 2009 Mar 30;28(7):1041-53. doi: 10.1002/sim.3523.

Inferences for the difference between two dependent intraclass correlation coefficients (ICCs) may arise in studies in which a sample of subjects are each assessed several times with a new device and a standard. The ICC estimates for the two...

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Ramasundarahettige CF, Donner A, Zou GY. Confidence interval construction for a difference between two dependent intraclass correlation coefficients. Stat Med. 2009;28(7):1041-53doi: 10.1002/sim.3523.
Ramasundarahettige, C. F., Donner, A., & Zou, G. Y. (2009). Confidence interval construction for a difference between two dependent intraclass correlation coefficients. Statistics in medicine, 28(7), 1041-53. https://doi.org/10.1002/sim.3523
Ramasundarahettige, Chinthanie F, et al. "Confidence interval construction for a difference between two dependent intraclass correlation coefficients." Statistics in medicine vol. 28,7 (2009): 1041-53. doi: https://doi.org/10.1002/sim.3523
Ramasundarahettige CF, Donner A, Zou GY. Confidence interval construction for a difference between two dependent intraclass correlation coefficients. Stat Med. 2009 Mar 30;28(7):1041-53. doi: 10.1002/sim.3523. PMID: 19142855.
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Negative results.

Acta radiologica (Stockholm, Sweden : 1987)

Ranstam J.
PMID: 18568537
Acta Radiol. 2008 Jun;49(5):521-2. doi: 10.1080/02841850802075058.

No abstract available.

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Ranstam J. Negative results. Acta Radiol. 2008;49(5):521-2doi: 10.1080/02841850802075058.
Ranstam, J. (2008). Negative results. Acta radiologica (Stockholm, Sweden : 1987), 49(5), 521-2. https://doi.org/10.1080/02841850802075058
Ranstam, Jonas. "Negative results." Acta radiologica (Stockholm, Sweden : 1987) vol. 49,5 (2008): 521-2. doi: https://doi.org/10.1080/02841850802075058
Ranstam J. Negative results. Acta Radiol. 2008 Jun;49(5):521-2. doi: 10.1080/02841850802075058. PMID: 18568537.
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Assessing medical students' self-regulation as aptitude in computer-based learning.

Advances in health sciences education : theory and practice

Song HS, Kalet AL, Plass JL.
PMID: 20872071
Adv Health Sci Educ Theory Pract. 2011 Mar;16(1):97-107. doi: 10.1007/s10459-010-9248-1. Epub 2010 Sep 25.

We developed a Self-Regulation Measure for Computer-based learning (SRMC) tailored toward medical students, by modifying Zimmerman's Self-Regulated Learning Interview Schedule (SRLIS) for K-12 learners. The SRMC's reliability and validity were examined in 2 studies. In Study 1, 109 first-year...

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Song HS, Kalet AL, Plass JL. Assessing medical students' self-regulation as aptitude in computer-based learning. Adv Health Sci Educ Theory Pract. 2010;16(1):97-107doi: 10.1007/s10459-010-9248-1.
Song, H. S., Kalet, A. L., & Plass, J. L. (2011). Assessing medical students' self-regulation as aptitude in computer-based learning. Advances in health sciences education : theory and practice, 16(1), 97-107. https://doi.org/10.1007/s10459-010-9248-1
Song, Hyuksoon S, et al. "Assessing medical students' self-regulation as aptitude in computer-based learning." Advances in health sciences education : theory and practice vol. 16,1 (2011): 97-107. doi: https://doi.org/10.1007/s10459-010-9248-1
Song HS, Kalet AL, Plass JL. Assessing medical students' self-regulation as aptitude in computer-based learning. Adv Health Sci Educ Theory Pract. 2011 Mar;16(1):97-107. doi: 10.1007/s10459-010-9248-1. Epub 2010 Sep 25. PMID: 20872071; PMCID: PMC3828293.
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Estimating confidence intervals for principal component loadings: a comparison between the bootstrap and asymptotic results.

The British journal of mathematical and statistical psychology

Timmerman ME, Kiers HA, Smilde AK.
PMID: 17971271
Br J Math Stat Psychol. 2007 Nov;60:295-314. doi: 10.1348/000711006X109636.

Confidence intervals (CIs) in principal component analysis (PCA) can be based on asymptotic standard errors and on the bootstrap methodology. The present paper offers an overview of possible strategies for bootstrapping in PCA. A motivating example shows that CI...

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Timmerman ME, Kiers HA, Smilde AK. Estimating confidence intervals for principal component loadings: a comparison between the bootstrap and asymptotic results. Br J Math Stat Psychol. 2007;60:295-314doi: 10.1348/000711006X109636.
Timmerman, M. E., Kiers, H. A., & Smilde, A. K. (2007). Estimating confidence intervals for principal component loadings: a comparison between the bootstrap and asymptotic results. The British journal of mathematical and statistical psychology, 60295-314. https://doi.org/10.1348/000711006X109636
Timmerman, Marieke E, et al. "Estimating confidence intervals for principal component loadings: a comparison between the bootstrap and asymptotic results." The British journal of mathematical and statistical psychology vol. 60 (2007): 295-314. doi: https://doi.org/10.1348/000711006X109636
Timmerman ME, Kiers HA, Smilde AK. Estimating confidence intervals for principal component loadings: a comparison between the bootstrap and asymptotic results. Br J Math Stat Psychol. 2007 Nov;60:295-314. doi: 10.1348/000711006X109636. PMID: 17971271.
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Scale validity evaluation with congeneric measures in hierarchical designs.

The British journal of mathematical and statistical psychology

Raykov T.
PMID: 21973095
Br J Math Stat Psychol. 2011 Nov;64(3):427-38. doi: 10.1348/000711009X484286. Epub 2011 Apr 08.

A procedure for validity estimation of multi-component measuring instruments in hierarchical designs is outlined. The method is developed within the framework of the popular latent variable modelling methodology. The approach is readily applicable for examining interrelationship indices between composite...

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Raykov T. Scale validity evaluation with congeneric measures in hierarchical designs. Br J Math Stat Psychol. 2011;64(3):427-38doi: 10.1348/000711009X484286.
Raykov, T. (2011). Scale validity evaluation with congeneric measures in hierarchical designs. The British journal of mathematical and statistical psychology, 64(3), 427-38. https://doi.org/10.1348/000711009X484286
Raykov, Tenko. "Scale validity evaluation with congeneric measures in hierarchical designs." The British journal of mathematical and statistical psychology vol. 64,3 (2011): 427-38. doi: https://doi.org/10.1348/000711009X484286
Raykov T. Scale validity evaluation with congeneric measures in hierarchical designs. Br J Math Stat Psychol. 2011 Nov;64(3):427-38. doi: 10.1348/000711009X484286. Epub 2011 Apr 08. PMID: 21973095.
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Confidence limits vs power, calculations.

Epidemiology (Cambridge, Mass.)

Goodman SN.
PMID: 8173006
Epidemiology. 1994 Mar;5(2):266-8; author reply 268-9.

No abstract available.

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Goodman SN. Confidence limits vs power, calculations. Epidemiology. 1994;5(2):266-8; author reply 268-9
Goodman, S. N. (1994). Confidence limits vs power, calculations. Epidemiology (Cambridge, Mass.), 5(2), 266-8; author reply 268-9.
Goodman, S N. "Confidence limits vs power, calculations." Epidemiology (Cambridge, Mass.) vol. 5,2 (1994): 266-8; author reply 268-9.
Goodman SN. Confidence limits vs power, calculations. Epidemiology. 1994 Mar;5(2):266-8; author reply 268-9. PMID: 8173006.
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Multiplicity: discussion points from the Statisticians in the Pharmaceutical Industry multiplicity expert group.

Pharmaceutical statistics

Phillips A, Fletcher C, Atkinson G, Channon E, Douiri A, Jaki T, Maca J, Morgan D, Roger JH, Terrill P.
PMID: 23893876
Pharm Stat. 2013 Sep-Oct;12(5):255-9. doi: 10.1002/pst.1584. Epub 2013 Jul 26.

In May 2012, the Committee of Health and Medicinal Products issued a concept paper on the need to review the points to consider document on multiplicity issues in clinical trials. In preparation for the release of the updated guidance...

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Phillips A, Fletcher C, Atkinson G, et al. Multiplicity: discussion points from the Statisticians in the Pharmaceutical Industry multiplicity expert group. Pharm Stat. 2013;12(5):255-9doi: 10.1002/pst.1584.
Phillips, A., Fletcher, C., Atkinson, G., Channon, E., Douiri, A., Jaki, T., Maca, J., Morgan, D., Roger, J. H., & Terrill, P. (2013). Multiplicity: discussion points from the Statisticians in the Pharmaceutical Industry multiplicity expert group. Pharmaceutical statistics, 12(5), 255-9. https://doi.org/10.1002/pst.1584
Phillips, Alan, et al. "Multiplicity: discussion points from the Statisticians in the Pharmaceutical Industry multiplicity expert group." Pharmaceutical statistics vol. 12,5 (2013): 255-9. doi: https://doi.org/10.1002/pst.1584
Phillips A, Fletcher C, Atkinson G, Channon E, Douiri A, Jaki T, Maca J, Morgan D, Roger JH, Terrill P. Multiplicity: discussion points from the Statisticians in the Pharmaceutical Industry multiplicity expert group. Pharm Stat. 2013 Sep-Oct;12(5):255-9. doi: 10.1002/pst.1584. Epub 2013 Jul 26. PMID: 23893876.
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Standard errors and confidence intervals in within-subjects designs: generalizing Loftus and Masson (1994) and avoiding the biases of alternative accounts.

Psychonomic bulletin & review

Franz VH, Loftus GR.
PMID: 22441956
Psychon Bull Rev. 2012 Jun;19(3):395-404. doi: 10.3758/s13423-012-0230-1.

Repeated measures designs are common in experimental psychology. Because of the correlational structure in these designs, the calculation and interpretation of confidence intervals is nontrivial. One solution was provided by Loftus and Masson (Psychonomic Bulletin & Review 1:476-490, 1994)....

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Franz VH, Loftus GR. Standard errors and confidence intervals in within-subjects designs: generalizing Loftus and Masson (1994) and avoiding the biases of alternative accounts. Psychon Bull Rev. 2012;19(3):395-404doi: 10.3758/s13423-012-0230-1.
Franz, V. H., & Loftus, G. R. (2012). Standard errors and confidence intervals in within-subjects designs: generalizing Loftus and Masson (1994) and avoiding the biases of alternative accounts. Psychonomic bulletin & review, 19(3), 395-404. https://doi.org/10.3758/s13423-012-0230-1
Franz, Volker H, and Loftus, Geoffrey R. "Standard errors and confidence intervals in within-subjects designs: generalizing Loftus and Masson (1994) and avoiding the biases of alternative accounts." Psychonomic bulletin & review vol. 19,3 (2012): 395-404. doi: https://doi.org/10.3758/s13423-012-0230-1
Franz VH, Loftus GR. Standard errors and confidence intervals in within-subjects designs: generalizing Loftus and Masson (1994) and avoiding the biases of alternative accounts. Psychon Bull Rev. 2012 Jun;19(3):395-404. doi: 10.3758/s13423-012-0230-1. PMID: 22441956; PMCID: PMC3348489.
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Correction for multiple testing: is there a resolution?.

Chest

Streiner DL, Norman GR.
PMID: 21729890
Chest. 2011 Jul;140(1):16-18. doi: 10.1378/chest.11-0523.

In most studies, many statistical tests are performed. They can be run to compare the groups at baseline, look at relationships among the various measures, and, for intervention trials, examine more than one end point. As the number of...

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Streiner DL, Norman GR. Correction for multiple testing: is there a resolution?. Chest. 2011;140(1):16-18doi: 10.1378/chest.11-0523.
Streiner, D. L., & Norman, G. R. (2011). Correction for multiple testing: is there a resolution?. Chest, 140(1), 16-18. https://doi.org/10.1378/chest.11-0523
Streiner, David L, and Norman, Geoffrey R. "Correction for multiple testing: is there a resolution?." Chest vol. 140,1 (2011): 16-18. doi: https://doi.org/10.1378/chest.11-0523
Streiner DL, Norman GR. Correction for multiple testing: is there a resolution?. Chest. 2011 Jul;140(1):16-18. doi: 10.1378/chest.11-0523. PMID: 21729890.
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Showing 1 to 12 of 29 entries