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Are ordinal models useful for classification?.

Statistics in medicine

Bell R.
PMID: 1557572
Stat Med. 1992 Jan 15;11(1):133-4. doi: 10.1002/sim.4780110114.

No abstract available.

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Bell R. Are ordinal models useful for classification?. Stat Med. 1992;11(1):133-4doi: 10.1002/sim.4780110114.
Bell, R. (1992). Are ordinal models useful for classification?. Statistics in medicine, 11(1), 133-4. https://doi.org/10.1002/sim.4780110114
Bell, R. "Are ordinal models useful for classification?." Statistics in medicine vol. 11,1 (1992): 133-4. doi: https://doi.org/10.1002/sim.4780110114
Bell R. Are ordinal models useful for classification?. Stat Med. 1992 Jan 15;11(1):133-4. doi: 10.1002/sim.4780110114. PMID: 1557572.
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Loss of power from an optimistic alternative hypothesis.

Statistics in medicine

Blumenson LE.
PMID: 3368672
Stat Med. 1988 Apr;7(4):457-66. doi: 10.1002/sim.4780070402.

In the planning of a clinical trial to compare the proportion of responses to two treatments one determines the sample size to yield the desired power of achieving a significant difference at a pre-selected type I error under the...

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Blumenson LE. Loss of power from an optimistic alternative hypothesis. Stat Med. 1988;7(4):457-66doi: 10.1002/sim.4780070402.
Blumenson, L. E. (1988). Loss of power from an optimistic alternative hypothesis. Statistics in medicine, 7(4), 457-66. https://doi.org/10.1002/sim.4780070402
Blumenson, L E. "Loss of power from an optimistic alternative hypothesis." Statistics in medicine vol. 7,4 (1988): 457-66. doi: https://doi.org/10.1002/sim.4780070402
Blumenson LE. Loss of power from an optimistic alternative hypothesis. Stat Med. 1988 Apr;7(4):457-66. doi: 10.1002/sim.4780070402. PMID: 3368672.
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Assessing diagnostic reliability and estimating incidence rates associated with a strictly progressive disease: dental caries.

Statistics in medicine

Espeland MA, Murphy WC, Leverett DH.
PMID: 3358020
Stat Med. 1988 Mar;7(3):403-16. doi: 10.1002/sim.4780070306.

This paper presents a general approach for simultaneously assessing, from serial data, diagnostic consistency, interrater reliability and incidence of a strictly progressive disease. Observed data are viewed as incomplete: diagnostic errors are not distinguished from true diagnoses. We introduce...

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Espeland MA, Murphy WC, Leverett DH. Assessing diagnostic reliability and estimating incidence rates associated with a strictly progressive disease: dental caries. Stat Med. 1988;7(3):403-16doi: 10.1002/sim.4780070306.
Espeland, M. A., Murphy, W. C., & Leverett, D. H. (1988). Assessing diagnostic reliability and estimating incidence rates associated with a strictly progressive disease: dental caries. Statistics in medicine, 7(3), 403-16. https://doi.org/10.1002/sim.4780070306
Espeland, M A, et al. "Assessing diagnostic reliability and estimating incidence rates associated with a strictly progressive disease: dental caries." Statistics in medicine vol. 7,3 (1988): 403-16. doi: https://doi.org/10.1002/sim.4780070306
Espeland MA, Murphy WC, Leverett DH. Assessing diagnostic reliability and estimating incidence rates associated with a strictly progressive disease: dental caries. Stat Med. 1988 Mar;7(3):403-16. doi: 10.1002/sim.4780070306. PMID: 3358020.
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The summarizing of clinical experiments by significance levels.

Statistics in medicine

Anscombe FJ.
PMID: 2218173
Stat Med. 1990 Jun;9(6):703-8. doi: 10.1002/sim.4780090617.

For a controlled clinical experiment in which two alternative treatments are compared, the statistical report often culminates in a significance test of the null hypothesis of no difference between the treatments, and significance at the 5 per cent level...

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Anscombe FJ. The summarizing of clinical experiments by significance levels. Stat Med. 1990;9(6):703-8doi: 10.1002/sim.4780090617.
Anscombe, F. J. (1990). The summarizing of clinical experiments by significance levels. Statistics in medicine, 9(6), 703-8. https://doi.org/10.1002/sim.4780090617
Anscombe, F J. "The summarizing of clinical experiments by significance levels." Statistics in medicine vol. 9,6 (1990): 703-8. doi: https://doi.org/10.1002/sim.4780090617
Anscombe FJ. The summarizing of clinical experiments by significance levels. Stat Med. 1990 Jun;9(6):703-8. doi: 10.1002/sim.4780090617. PMID: 2218173.
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A bibliography and comments on the use of statistical models in epidemiology in the 1980s.

Statistics in medicine

Gail MH.
PMID: 1805315
Stat Med. 1991 Dec;10(12):1819-85. doi: 10.1002/sim.4780101204.

This paper reviews developments in statistical modelling in epidemiology in the 1980's, with emphasis on cohort and case-control studies. The central roles of the logistic and proportional hazard models are highlighted, and it is shown how these models lead...

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Gail MH. A bibliography and comments on the use of statistical models in epidemiology in the 1980s. Stat Med. 1991;10(12):1819-85doi: 10.1002/sim.4780101204.
Gail, M. H. (1991). A bibliography and comments on the use of statistical models in epidemiology in the 1980s. Statistics in medicine, 10(12), 1819-85. https://doi.org/10.1002/sim.4780101204
Gail, M H. "A bibliography and comments on the use of statistical models in epidemiology in the 1980s." Statistics in medicine vol. 10,12 (1991): 1819-85. doi: https://doi.org/10.1002/sim.4780101204
Gail MH. A bibliography and comments on the use of statistical models in epidemiology in the 1980s. Stat Med. 1991 Dec;10(12):1819-85. doi: 10.1002/sim.4780101204. PMID: 1805315.
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Statistics in medical journals: developments in the 1980s.

Statistics in medicine

Altman DG.
PMID: 1805317
Stat Med. 1991 Dec;10(12):1897-913. doi: 10.1002/sim.4780101206.

This paper reviews changes in the use of statistics in medical journals during the 1980s. Aspects considered are research design, statistical analysis, the presentation of results, medical journal policy (including statistical refereeing), and the misuse of statistics. Despite some...

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Altman DG. Statistics in medical journals: developments in the 1980s. Stat Med. 1991;10(12):1897-913doi: 10.1002/sim.4780101206.
Altman, D. G. (1991). Statistics in medical journals: developments in the 1980s. Statistics in medicine, 10(12), 1897-913. https://doi.org/10.1002/sim.4780101206
Altman, D G. "Statistics in medical journals: developments in the 1980s." Statistics in medicine vol. 10,12 (1991): 1897-913. doi: https://doi.org/10.1002/sim.4780101206
Altman DG. Statistics in medical journals: developments in the 1980s. Stat Med. 1991 Dec;10(12):1897-913. doi: 10.1002/sim.4780101206. PMID: 1805317.
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Evaluation of statistics teaching given to medical undergraduates.

Statistics in medicine

Newcombe RG.
PMID: 2244077
Stat Med. 1990 Sep;9(9):1045-55; discussion 1057-62. doi: 10.1002/sim.4780090909.

Medical undergraduates in all United Kingdom medical schools receive statistics teaching, but attempts to establish the efficacy of this teaching have been scanty. Establishment of clear educational objectives is a prerequisite to meaningful evaluation. Most medical schools have attempted...

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Newcombe RG. Evaluation of statistics teaching given to medical undergraduates. Stat Med. 1990;9(9):1045-55; discussion 1057-62doi: 10.1002/sim.4780090909.
Newcombe, R. G. (1990). Evaluation of statistics teaching given to medical undergraduates. Statistics in medicine, 9(9), 1045-55; discussion 1057-62. https://doi.org/10.1002/sim.4780090909
Newcombe, R G. "Evaluation of statistics teaching given to medical undergraduates." Statistics in medicine vol. 9,9 (1990): 1045-55; discussion 1057-62. doi: https://doi.org/10.1002/sim.4780090909
Newcombe RG. Evaluation of statistics teaching given to medical undergraduates. Stat Med. 1990 Sep;9(9):1045-55; discussion 1057-62. doi: 10.1002/sim.4780090909. PMID: 2244077.
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Measuring interrater reliability among multiple raters: an example of methods for nominal data.

Statistics in medicine

Posner KL, Sampson PD, Caplan RA, Ward RJ, Cheney FW.
PMID: 2244082
Stat Med. 1990 Sep;9(9):1103-15. doi: 10.1002/sim.4780090917.

This paper reviews and critiques various approaches to the measurement of reliability among multiple raters in the case of nominal data. We consider measurement of the overall reliability of a group of raters (using kappa-like statistics) as well as...

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Posner KL, Sampson PD, Caplan RA, et al. Measuring interrater reliability among multiple raters: an example of methods for nominal data. Stat Med. 1990;9(9):1103-15doi: 10.1002/sim.4780090917.
Posner, K. L., Sampson, P. D., Caplan, R. A., Ward, R. J., & Cheney, F. W. (1990). Measuring interrater reliability among multiple raters: an example of methods for nominal data. Statistics in medicine, 9(9), 1103-15. https://doi.org/10.1002/sim.4780090917
Posner, K L, et al. "Measuring interrater reliability among multiple raters: an example of methods for nominal data." Statistics in medicine vol. 9,9 (1990): 1103-15. doi: https://doi.org/10.1002/sim.4780090917
Posner KL, Sampson PD, Caplan RA, Ward RJ, Cheney FW. Measuring interrater reliability among multiple raters: an example of methods for nominal data. Stat Med. 1990 Sep;9(9):1103-15. doi: 10.1002/sim.4780090917. PMID: 2244082.
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How many raters? Toward the most reliable diagnostic consensus.

Statistics in medicine

Kraemer HC.
PMID: 1609173
Stat Med. 1992 Feb 15;11(3):317-31. doi: 10.1002/sim.4780110305.

When faced with a decision whether or not to treat a patient, to enter or to withdraw a patient from a clinical trial, or any other such binary decision, based on diagnosis with unsatisfactory reliability, can a consensus diagnosis...

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Kraemer HC. How many raters? Toward the most reliable diagnostic consensus. Stat Med. 1992;11(3):317-31doi: 10.1002/sim.4780110305.
Kraemer, H. C. (1992). How many raters? Toward the most reliable diagnostic consensus. Statistics in medicine, 11(3), 317-31. https://doi.org/10.1002/sim.4780110305
Kraemer, H C. "How many raters? Toward the most reliable diagnostic consensus." Statistics in medicine vol. 11,3 (1992): 317-31. doi: https://doi.org/10.1002/sim.4780110305
Kraemer HC. How many raters? Toward the most reliable diagnostic consensus. Stat Med. 1992 Feb 15;11(3):317-31. doi: 10.1002/sim.4780110305. PMID: 1609173.
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Quantitative methods for utilization of multi-source data in public health. Proceedings of a symposium.

Statistics in medicine

[No authors listed]
PMID: 7792439
Stat Med. 1995 Mar 15-Apr 15;14(5):447-717.

No abstract available.

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Quantitative methods for utilization of multi-source data in public health. Proceedings of a symposium. Stat Med. 1995;14(5):447-717
(1995). Quantitative methods for utilization of multi-source data in public health. Proceedings of a symposium. Statistics in medicine, 14(5), 447-717.
"Quantitative methods for utilization of multi-source data in public health. Proceedings of a symposium." Statistics in medicine vol. 14,5 (1995): 447-717.
Quantitative methods for utilization of multi-source data in public health. Proceedings of a symposium. Stat Med. 1995 Mar 15-Apr 15;14(5):447-717. PMID: 7792439.
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A note on optimal sampling for the comparison of proportions or rates.

Statistics in medicine

Walter SD, Morgenstern H.
PMID: 4089355
Stat Med. 1985 Oct-Dec;4(4):541-2. doi: 10.1002/sim.4780040415.

No abstract available.

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Walter SD, Morgenstern H. A note on optimal sampling for the comparison of proportions or rates. Stat Med. 1985;4(4):541-2doi: 10.1002/sim.4780040415.
Walter, S. D., & Morgenstern, H. (1985). A note on optimal sampling for the comparison of proportions or rates. Statistics in medicine, 4(4), 541-2. https://doi.org/10.1002/sim.4780040415
Walter, S D, and Morgenstern, H. "A note on optimal sampling for the comparison of proportions or rates." Statistics in medicine vol. 4,4 (1985): 541-2. doi: https://doi.org/10.1002/sim.4780040415
Walter SD, Morgenstern H. A note on optimal sampling for the comparison of proportions or rates. Stat Med. 1985 Oct-Dec;4(4):541-2. doi: 10.1002/sim.4780040415. PMID: 4089355.
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Discriminant analysis based on multivariate response curves: a descriptive approach to dynamic allocation.

Statistics in medicine

Albert A.
PMID: 6648124
Stat Med. 1983 Jan-Mar;2(1):95-106. doi: 10.1002/sim.4780020111.

We examine the problem of discriminating between two groups in the context of multivariate response curves observed over a specified time interval. We propose a descriptive solution for the case where one can determine the response curves by linear...

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Albert A. Discriminant analysis based on multivariate response curves: a descriptive approach to dynamic allocation. Stat Med. 1983;2(1):95-106doi: 10.1002/sim.4780020111.
Albert, A. (1983). Discriminant analysis based on multivariate response curves: a descriptive approach to dynamic allocation. Statistics in medicine, 2(1), 95-106. https://doi.org/10.1002/sim.4780020111
Albert, A. "Discriminant analysis based on multivariate response curves: a descriptive approach to dynamic allocation." Statistics in medicine vol. 2,1 (1983): 95-106. doi: https://doi.org/10.1002/sim.4780020111
Albert A. Discriminant analysis based on multivariate response curves: a descriptive approach to dynamic allocation. Stat Med. 1983 Jan-Mar;2(1):95-106. doi: 10.1002/sim.4780020111. PMID: 6648124.
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Showing 1 to 12 of 612 entries