Journal of population therapeutics and clinical pharmacology = Journal de la therapeutique des populations et de la pharmacologie clinique
Kayral İE, Buzrul S.
PMID: 33084261
J Popul Ther Clin Pharmacol. 2020 Oct 15;27:e76-e84. doi: 10.15586/jptcp.v27SP1.757. eCollection 2020.
COVID-19 infection data of Emerging 7 (E7) countries, namely Brazil, China, India, Indonesia, Mexico, Russia, and Turkey were described by an empirical model or a special case of this empirical model. Near-future forecasts were also performed. Moreover, the causalities...
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Kayral İE, Buzrul S. Forecasting of COVID-19 infections in E7 countries and proposing some policies based on the Stringency Index. J Popul Ther Clin Pharmacol. 2020;27:e76-e84doi: 10.15586/jptcp.v27SP1.757.
Kayral, �. �. E., & Buzrul, S. (2020). Forecasting of COVID-19 infections in E7 countries and proposing some policies based on the Stringency Index. Journal of population therapeutics and clinical pharmacology = Journal de la therapeutique des populations et de la pharmacologie clinique, 27e76-e84. https://doi.org/10.15586/jptcp.v27SP1.757
Kayral, İhsan Erdem, and Buzrul, Sencer. "Forecasting of COVID-19 infections in E7 countries and proposing some policies based on the Stringency Index." Journal of population therapeutics and clinical pharmacology = Journal de la therapeutique des populations et de la pharmacologie clinique vol. 27 (2020): e76-e84. doi: https://doi.org/10.15586/jptcp.v27SP1.757
Kayral İE, Buzrul S. Forecasting of COVID-19 infections in E7 countries and proposing some policies based on the Stringency Index. J Popul Ther Clin Pharmacol. 2020 Oct 15;27:e76-e84. doi: 10.15586/jptcp.v27SP1.757. eCollection 2020. PMID: 33084261.
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PLoS biology
Brett TS, Rohani P.
PMID: 32433658
PLoS Biol. 2020 May 20;18(5):e3000697. doi: 10.1371/journal.pbio.3000697. eCollection 2020 May.
Developing methods for anticipating the emergence or reemergence of infectious diseases is both important and timely; however, traditional model-based approaches are stymied by uncertainty surrounding the underlying drivers. Here, we demonstrate an operational, mechanism-agnostic detection algorithm for disease (re-)emergence...
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Brett TS, Rohani P. Dynamical footprints enable detection of disease emergence. PLoS Biol. 2020;18(5):e3000697doi: 10.1371/journal.pbio.3000697.
Brett, T. S., & Rohani, P. (2020). Dynamical footprints enable detection of disease emergence. PLoS biology, 18(5), e3000697. https://doi.org/10.1371/journal.pbio.3000697
Brett, Tobias S, and Rohani, Pejman. "Dynamical footprints enable detection of disease emergence." PLoS biology vol. 18,5 (2020): e3000697. doi: https://doi.org/10.1371/journal.pbio.3000697
Brett TS, Rohani P. Dynamical footprints enable detection of disease emergence. PLoS Biol. 2020 May 20;18(5):e3000697. doi: 10.1371/journal.pbio.3000697. eCollection 2020 May. PMID: 32433658; PMCID: PMC7239390.
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American journal of epidemiology
Day NE, Byar DP, Green SB.
PMID: 7435495
Am J Epidemiol. 1980 Nov;112(5):696-706. doi: 10.1093/oxfordjournals.aje.a113042.
In analyzing data from case-control studies to identify association between an exposure variable and disease status, other variables may be considered as potential confounding variables. Even when a variable has no causal association with disease (we assume that in...
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Day NE, Byar DP, Green SB. Overadjustment in case-control studies. Am J Epidemiol. 1980;112(5):696-706doi: 10.1093/oxfordjournals.aje.a113042.
Day, N. E., Byar, D. P., & Green, S. B. (1980). Overadjustment in case-control studies. American journal of epidemiology, 112(5), 696-706. https://doi.org/10.1093/oxfordjournals.aje.a113042
Day, N E, et al. "Overadjustment in case-control studies." American journal of epidemiology vol. 112,5 (1980): 696-706. doi: https://doi.org/10.1093/oxfordjournals.aje.a113042
Day NE, Byar DP, Green SB. Overadjustment in case-control studies. Am J Epidemiol. 1980 Nov;112(5):696-706. doi: 10.1093/oxfordjournals.aje.a113042. PMID: 7435495.
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American journal of epidemiology
Marshall JR.
PMID: 7137161
Am J Epidemiol. 1982 Oct;116(4):734-5. doi: 10.1093/oxfordjournals.aje.a113460.
No abstract available.
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Marshall JR. Random and patterned misclassification and bias in case-control studies. Am J Epidemiol. 1982;116(4):734-5doi: 10.1093/oxfordjournals.aje.a113460.
Marshall, J. R. (1982). Random and patterned misclassification and bias in case-control studies. American journal of epidemiology, 116(4), 734-5. https://doi.org/10.1093/oxfordjournals.aje.a113460
Marshall, J R. "Random and patterned misclassification and bias in case-control studies." American journal of epidemiology vol. 116,4 (1982): 734-5. doi: https://doi.org/10.1093/oxfordjournals.aje.a113460
Marshall JR. Random and patterned misclassification and bias in case-control studies. Am J Epidemiol. 1982 Oct;116(4):734-5. doi: 10.1093/oxfordjournals.aje.a113460. PMID: 7137161.
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American journal of epidemiology
Decouflé P, Thomas TL, Pickle LW.
PMID: 7361748
Am J Epidemiol. 1980 Mar;111(3):263-9. doi: 10.1093/oxfordjournals.aje.a112895.
No abstract available.
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Decouflé P, Thomas TL, Pickle LW. Comparison of the proportionate mortality ratio and standardized mortality ratio risk measures. Am J Epidemiol. 1980;111(3):263-9doi: 10.1093/oxfordjournals.aje.a112895.
Decouflé, P., Thomas, T. L., & Pickle, L. W. (1980). Comparison of the proportionate mortality ratio and standardized mortality ratio risk measures. American journal of epidemiology, 111(3), 263-9. https://doi.org/10.1093/oxfordjournals.aje.a112895
Decouflé, P, et al. "Comparison of the proportionate mortality ratio and standardized mortality ratio risk measures." American journal of epidemiology vol. 111,3 (1980): 263-9. doi: https://doi.org/10.1093/oxfordjournals.aje.a112895
Decouflé P, Thomas TL, Pickle LW. Comparison of the proportionate mortality ratio and standardized mortality ratio risk measures. Am J Epidemiol. 1980 Mar;111(3):263-9. doi: 10.1093/oxfordjournals.aje.a112895. PMID: 7361748.
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International journal of epidemiology
Shepherd M.
PMID: 7152782
Int J Epidemiol. 1982 Dec;11(4):312-3. doi: 10.1093/ije/11.4.312.
No abstract available.
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Shepherd M. Psychiatric epidemiology and the classification of mental disorder. Int J Epidemiol. 1982;11(4):312-3doi: 10.1093/ije/11.4.312.
Shepherd, M. (1982). Psychiatric epidemiology and the classification of mental disorder. International journal of epidemiology, 11(4), 312-3. https://doi.org/10.1093/ije/11.4.312
Shepherd, M. "Psychiatric epidemiology and the classification of mental disorder." International journal of epidemiology vol. 11,4 (1982): 312-3. doi: https://doi.org/10.1093/ije/11.4.312
Shepherd M. Psychiatric epidemiology and the classification of mental disorder. Int J Epidemiol. 1982 Dec;11(4):312-3. doi: 10.1093/ije/11.4.312. PMID: 7152782.
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Acta neurologica Scandinavica. Supplementum
Schoenberg BS.
PMID: 6984590
Acta Neurol Scand Suppl. 1982;92:11-21.
Analytic neuroepidemiologic studies can be particularly valuable in identifying factors associated with either a high or low risk of disease in the industrial environment. Intervention strategies can then be formulated and the effectiveness of such programs can be tested...
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Schoenberg BS. Analytic, experimental, and theoretical neuroepidemiology: applications to occupational neurology. Acta Neurol Scand Suppl. 1982;92:11-21
Schoenberg, B. S. (1982). Analytic, experimental, and theoretical neuroepidemiology: applications to occupational neurology. Acta neurologica Scandinavica. Supplementum, 9211-21.
Schoenberg, B S. "Analytic, experimental, and theoretical neuroepidemiology: applications to occupational neurology." Acta neurologica Scandinavica. Supplementum vol. 92 (1982): 11-21.
Schoenberg BS. Analytic, experimental, and theoretical neuroepidemiology: applications to occupational neurology. Acta Neurol Scand Suppl. 1982;92:11-21. PMID: 6984590.
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American journal of epidemiology
White JE.
PMID: 7055123
Am J Epidemiol. 1982 Jan;115(1):119-28. doi: 10.1093/oxfordjournals.aje.a113266.
Studies of the relationship between a rare disease and a rare exposure to a risk factor require a very large sample size to obtain reasonable estimates of risk. The cost of such studies is often prohibitive. This paper presents...
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White JE. A two stage design for the study of the relationship between a rare exposure and a rare disease. Am J Epidemiol. 1982;115(1):119-28doi: 10.1093/oxfordjournals.aje.a113266.
White, J. E. (1982). A two stage design for the study of the relationship between a rare exposure and a rare disease. American journal of epidemiology, 115(1), 119-28. https://doi.org/10.1093/oxfordjournals.aje.a113266
White, J E. "A two stage design for the study of the relationship between a rare exposure and a rare disease." American journal of epidemiology vol. 115,1 (1982): 119-28. doi: https://doi.org/10.1093/oxfordjournals.aje.a113266
White JE. A two stage design for the study of the relationship between a rare exposure and a rare disease. Am J Epidemiol. 1982 Jan;115(1):119-28. doi: 10.1093/oxfordjournals.aje.a113266. PMID: 7055123.
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American journal of epidemiology
Gordis L.
PMID: 7055121
Am J Epidemiol. 1982 Jan;115(1):1-5. doi: 10.1093/oxfordjournals.aje.a113263.
No abstract available.
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Gordis L. Should dead cases be matched to dead controls?. Am J Epidemiol. 1982;115(1):1-5doi: 10.1093/oxfordjournals.aje.a113263.
Gordis, L. (1982). Should dead cases be matched to dead controls?. American journal of epidemiology, 115(1), 1-5. https://doi.org/10.1093/oxfordjournals.aje.a113263
Gordis, L. "Should dead cases be matched to dead controls?." American journal of epidemiology vol. 115,1 (1982): 1-5. doi: https://doi.org/10.1093/oxfordjournals.aje.a113263
Gordis L. Should dead cases be matched to dead controls?. Am J Epidemiol. 1982 Jan;115(1):1-5. doi: 10.1093/oxfordjournals.aje.a113263. PMID: 7055121.
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