Association models for periodontal disease progression: a comparison of methods for clustered binary data.

Association models for periodontal disease progression: a comparison of methods for clustered binary data.

Item
http://www.wikidata.org/entity/Q36703302
An empirical comparison of several clustered data approaches under confounding due to cluster effects in the analysis of complications of coronary angioplasty.Deviations from the population-averaged versus cluster-specific relationship for clustered binary data.Age, period, and cohort analysis of regular dental care behavior and edentulism: a marginal approach.Regression models for patient-reported measures having ordered categories recorded on multiple occasions.Modeling multivariate binary responses with multiple levels of nesting based on alternating logistic regressions: an application to caries aggregation.Sample size and power determination for clustered repeated measurements.An application of methods for clustered binary responses to a cardiovascular study with small sample size.Biomarker combinations for diagnosis and prognosis in multicenter studies: Principles and methods.The evaluation of treatment when center-specific selection criteria vary with respect to patient risk.The association of physician attitudes about uncertainty and risk taking with resource use in a Medicare HMO.Between-subject and within-subject statistical information in dental research.The analysis of bioequivalence with respect to TMAX under a 2 x 2 crossover design.
P2860

Association models for periodontal disease progression: a comparison of methods for clustered binary data.

Item
http://www.wikidata.org/entity/Q36703302
description
1995 nî lūn-bûn
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1995年の論文
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1995年論文
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1995年論文
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1995年論文
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1995年論文
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1995年論文
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1995年论文
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1995年论文
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1995年论文
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name
Association models for periodo ...... ods for clustered binary data.
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Association models for periodo ...... ods for clustered binary data.
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Association models for periodo ...... ods for clustered binary data.
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Association models for periodo ...... ods for clustered binary data.
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P2093
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P304
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P407
P433
P478
P577
P698