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Similar articles for PMID: 2732770

Showing 1 to 9 of 9 entries
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Estimability and estimation in case-referent studies.

American journal of epidemiology

Miettinen O.
PMID: 1251836
Am J Epidemiol. 1976 Feb;103(2):226-35. doi: 10.1093/oxfordjournals.aje.a112220.

The concepts that case-referent studies provide for the estimation of "relative risk" only if the illness is "rare", and that the rates and risks themselves are inestimable, are overly superficial and restrictve. The ratio of incidence densities (forces of...

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Miettinen O. Estimability and estimation in case-referent studies. Am J Epidemiol. 1976;103(2):226-35doi: 10.1093/oxfordjournals.aje.a112220.
Miettinen, O. (1976). Estimability and estimation in case-referent studies. American journal of epidemiology, 103(2), 226-35. https://doi.org/10.1093/oxfordjournals.aje.a112220
Miettinen, O. "Estimability and estimation in case-referent studies." American journal of epidemiology vol. 103,2 (1976): 226-35. doi: https://doi.org/10.1093/oxfordjournals.aje.a112220
Miettinen O. Estimability and estimation in case-referent studies. Am J Epidemiol. 1976 Feb;103(2):226-35. doi: 10.1093/oxfordjournals.aje.a112220. PMID: 1251836.
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Methods of data analysis in the emergency medicine literature.

The American journal of emergency medicine

Menegazzi JJ, Yealy DM, Harris JS.
PMID: 2018591
Am J Emerg Med. 1991 May;9(3):225-7. doi: 10.1016/0735-6757(91)90081-t.

The authors hypothesized that data analysis in the current emergency medicine literature uses relatively few methods and sought to determine the frequency distributions of each method of analysis. The authors defined their population as original contributions in three refereed...

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Menegazzi JJ, Yealy DM, Harris JS. Methods of data analysis in the emergency medicine literature. Am J Emerg Med. 1991;9(3):225-7doi: 10.1016/0735-6757(91)90081-t.
Menegazzi, J. J., Yealy, D. M., & Harris, J. S. (1991). Methods of data analysis in the emergency medicine literature. The American journal of emergency medicine, 9(3), 225-7. https://doi.org/10.1016/0735-6757(91)90081-t
Menegazzi, J J, et al. "Methods of data analysis in the emergency medicine literature." The American journal of emergency medicine vol. 9,3 (1991): 225-7. doi: https://doi.org/10.1016/0735-6757(91)90081-t
Menegazzi JJ, Yealy DM, Harris JS. Methods of data analysis in the emergency medicine literature. Am J Emerg Med. 1991 May;9(3):225-7. doi: 10.1016/0735-6757(91)90081-t. PMID: 2018591.
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On sample-size and power calculations for studies using confidence intervals.

American journal of epidemiology

Greenland S.
PMID: 3381829
Am J Epidemiol. 1988 Jul;128(1):231-7. doi: 10.1093/oxfordjournals.aje.a114945.

A recent trend in epidemiologic analysis has been away from significance tests and toward confidence intervals. In accord with this trend, several authors have proposed the use of expected confidence intervals in the design of epidemiologic studies. This paper...

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Greenland S. On sample-size and power calculations for studies using confidence intervals. Am J Epidemiol. 1988;128(1):231-7doi: 10.1093/oxfordjournals.aje.a114945.
Greenland, S. (1988). On sample-size and power calculations for studies using confidence intervals. American journal of epidemiology, 128(1), 231-7. https://doi.org/10.1093/oxfordjournals.aje.a114945
Greenland, S. "On sample-size and power calculations for studies using confidence intervals." American journal of epidemiology vol. 128,1 (1988): 231-7. doi: https://doi.org/10.1093/oxfordjournals.aje.a114945
Greenland S. On sample-size and power calculations for studies using confidence intervals. Am J Epidemiol. 1988 Jul;128(1):231-7. doi: 10.1093/oxfordjournals.aje.a114945. PMID: 3381829.
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Estimation of test error rates, disease prevalence and relative risk from misclassified data: a review.

Journal of clinical epidemiology

Walter SD, Irwig LM.
PMID: 3054000
J Clin Epidemiol. 1988;41(9):923-37. doi: 10.1016/0895-4356(88)90110-2.

We review methods for the analysis of categorical clinical and epidemiological data, in which the observations are subject to misclassification. Under certain conditions, it is possible to estimate error parameters such as sensitivity, specificity, relative risk, or predictive value,...

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Walter SD, Irwig LM. Estimation of test error rates, disease prevalence and relative risk from misclassified data: a review. J Clin Epidemiol. 1988;41(9):923-37doi: 10.1016/0895-4356(88)90110-2.
Walter, S. D., & Irwig, L. M. (1988). Estimation of test error rates, disease prevalence and relative risk from misclassified data: a review. Journal of clinical epidemiology, 41(9), 923-37. https://doi.org/10.1016/0895-4356(88)90110-2
Walter, S D, and Irwig, L M. "Estimation of test error rates, disease prevalence and relative risk from misclassified data: a review." Journal of clinical epidemiology vol. 41,9 (1988): 923-37. doi: https://doi.org/10.1016/0895-4356(88)90110-2
Walter SD, Irwig LM. Estimation of test error rates, disease prevalence and relative risk from misclassified data: a review. J Clin Epidemiol. 1988;41(9):923-37. doi: 10.1016/0895-4356(88)90110-2. PMID: 3054000.
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Multivariate analysis for matched case-control studies.

American journal of epidemiology

Holford TR, White C, Kelsey JL.
PMID: 629262
Am J Epidemiol. 1978 Mar;107(3):245-56. doi: 10.1093/oxfordjournals.aje.a112531.

A multivariate method based on the linear logistic model is presented for the analysis of case-control studies with pairwise matching. This technique enables one to investigate the effect of several variables simultaneously in the analysis while allowing for the...

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Holford TR, White C, Kelsey JL. Multivariate analysis for matched case-control studies. Am J Epidemiol. 1978;107(3):245-56doi: 10.1093/oxfordjournals.aje.a112531.
Holford, T. R., White, C., & Kelsey, J. L. (1978). Multivariate analysis for matched case-control studies. American journal of epidemiology, 107(3), 245-56. https://doi.org/10.1093/oxfordjournals.aje.a112531
Holford, T R, et al. "Multivariate analysis for matched case-control studies." American journal of epidemiology vol. 107,3 (1978): 245-56. doi: https://doi.org/10.1093/oxfordjournals.aje.a112531
Holford TR, White C, Kelsey JL. Multivariate analysis for matched case-control studies. Am J Epidemiol. 1978 Mar;107(3):245-56. doi: 10.1093/oxfordjournals.aje.a112531. PMID: 629262.
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The ubiquitous 2X2 table, its parameters and their confidence limits.

Scandinavian journal of social medicine

Ipsen J.
PMID: 6505659
Scand J Soc Med. 1984;12(3):121-7. doi: 10.1177/140349488401200305.

The confidence limits for all parameters derived from a 2X2 contingency table are uniquely determined by the limiting matrices that arise from adding or subtracting certain values to or from the four cell entries. Various methods to determine these...

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Ipsen J. The ubiquitous 2X2 table, its parameters and their confidence limits. Scand J Soc Med. 1984;12(3):121-7doi: 10.1177/140349488401200305.
Ipsen, J. (1984). The ubiquitous 2X2 table, its parameters and their confidence limits. Scandinavian journal of social medicine, 12(3), 121-7. https://doi.org/10.1177/140349488401200305
Ipsen, J. "The ubiquitous 2X2 table, its parameters and their confidence limits." Scandinavian journal of social medicine vol. 12,3 (1984): 121-7. doi: https://doi.org/10.1177/140349488401200305
Ipsen J. The ubiquitous 2X2 table, its parameters and their confidence limits. Scand J Soc Med. 1984;12(3):121-7. doi: 10.1177/140349488401200305. PMID: 6505659.
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The exposure odds ratio in nested case-control studies with competing risks.

American journal of epidemiology

Flanders WD, Louv WC.
PMID: 3752062
Am J Epidemiol. 1986 Oct;124(4):684-92. doi: 10.1093/oxfordjournals.aje.a114442.

A nested case-control study, also known as an ambidirectional study, is a case-control study within a cohort study. Although distortion by competing risks is well-recognized in follow-up studies, the problem has not been as widely appreciated in nested case-control...

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Flanders WD, Louv WC. The exposure odds ratio in nested case-control studies with competing risks. Am J Epidemiol. 1986;124(4):684-92doi: 10.1093/oxfordjournals.aje.a114442.
Flanders, W. D., & Louv, W. C. (1986). The exposure odds ratio in nested case-control studies with competing risks. American journal of epidemiology, 124(4), 684-92. https://doi.org/10.1093/oxfordjournals.aje.a114442
Flanders, W D, and Louv, W C. "The exposure odds ratio in nested case-control studies with competing risks." American journal of epidemiology vol. 124,4 (1986): 684-92. doi: https://doi.org/10.1093/oxfordjournals.aje.a114442
Flanders WD, Louv WC. The exposure odds ratio in nested case-control studies with competing risks. Am J Epidemiol. 1986 Oct;124(4):684-92. doi: 10.1093/oxfordjournals.aje.a114442. PMID: 3752062.
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Alternative approaches for estimating prevalence in epidemiologic surveys with two waves of respondents.

American journal of epidemiology

Brenner H.
PMID: 7485071
Am J Epidemiol. 1995 Dec 01;142(11):1236-45. doi: 10.1093/oxfordjournals.aje.a117583.

Estimates of prevalence in epidemiologic surveys are prone to bias due to selective response. Therefore, much effort is devoted to reduce the number of nonrespondents. For example, individuals who do not respond in the first round of recruitment in...

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Brenner H. Alternative approaches for estimating prevalence in epidemiologic surveys with two waves of respondents. Am J Epidemiol. 1995;142(11):1236-45doi: 10.1093/oxfordjournals.aje.a117583.
Brenner, H. (1995). Alternative approaches for estimating prevalence in epidemiologic surveys with two waves of respondents. American journal of epidemiology, 142(11), 1236-45. https://doi.org/10.1093/oxfordjournals.aje.a117583
Brenner, H. "Alternative approaches for estimating prevalence in epidemiologic surveys with two waves of respondents." American journal of epidemiology vol. 142,11 (1995): 1236-45. doi: https://doi.org/10.1093/oxfordjournals.aje.a117583
Brenner H. Alternative approaches for estimating prevalence in epidemiologic surveys with two waves of respondents. Am J Epidemiol. 1995 Dec 01;142(11):1236-45. doi: 10.1093/oxfordjournals.aje.a117583. PMID: 7485071.
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Matched case-control designs and overmatched analyses.

American journal of epidemiology

Brookmeyer R, Liang KY, Linet M.
PMID: 3752063
Am J Epidemiol. 1986 Oct;124(4):693-701. doi: 10.1093/oxfordjournals.aje.a114443.

In a 1:1 matched-pairs case-control study, several pairs may have the same matching criteria. The objective of this paper is to consider various analytic approaches for odds ratio estimation in this situation. One approach is to perform the usual...

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Brookmeyer R, Liang KY, Linet M. Matched case-control designs and overmatched analyses. Am J Epidemiol. 1986;124(4):693-701doi: 10.1093/oxfordjournals.aje.a114443.
Brookmeyer, R., Liang, K. Y., & Linet, M. (1986). Matched case-control designs and overmatched analyses. American journal of epidemiology, 124(4), 693-701. https://doi.org/10.1093/oxfordjournals.aje.a114443
Brookmeyer, R, et al. "Matched case-control designs and overmatched analyses." American journal of epidemiology vol. 124,4 (1986): 693-701. doi: https://doi.org/10.1093/oxfordjournals.aje.a114443
Brookmeyer R, Liang KY, Linet M. Matched case-control designs and overmatched analyses. Am J Epidemiol. 1986 Oct;124(4):693-701. doi: 10.1093/oxfordjournals.aje.a114443. PMID: 3752063.
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Showing 1 to 9 of 9 entries