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標(biāo)題: Titlebook: Regression Analysis in Medical Research; for Starters and 2nd Ton J. Cleophas,Aeilko H. Zwinderman Textbook 20181st edition Springer Intern [打印本頁]

作者: fumble    時(shí)間: 2025-3-21 18:04
書目名稱Regression Analysis in Medical Research影響因子(影響力)




書目名稱Regression Analysis in Medical Research影響因子(影響力)學(xué)科排名




書目名稱Regression Analysis in Medical Research網(wǎng)絡(luò)公開度




書目名稱Regression Analysis in Medical Research網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Regression Analysis in Medical Research被引頻次




書目名稱Regression Analysis in Medical Research被引頻次學(xué)科排名




書目名稱Regression Analysis in Medical Research年度引用




書目名稱Regression Analysis in Medical Research年度引用學(xué)科排名




書目名稱Regression Analysis in Medical Research讀者反饋




書目名稱Regression Analysis in Medical Research讀者反饋學(xué)科排名





作者: Integrate    時(shí)間: 2025-3-22 00:18

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作者: 發(fā)源    時(shí)間: 2025-3-22 05:09
Ton J. Cleophas,Aeilko H. Zwindermanorganisms [., .]. The newer agents (levofloxacin, gatifloxacin, moxifloxacin) have expanded activity against the Gram-positive microorganisms [., .] and some of these newer agents which are currently available or in clinical trial (moxifloxacin, gatifloxacin, garenoxacin) also demonstrate excellent
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Ton J. Cleophas,Aeilko H. Zwindermantlicher Ratgeber zur Diagnostik und Therapie.Innovativer AlgDer Begriff ?Fluoroquinolone-Associated Disability“ (FQAD) ist sp?testens seit der Verwendung durch die US Food and Drug Administration (FDA) etabliert – allerdings ist die Definition der FDA mit den dazugeh?renden Diagnosekriterien für den
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Ton J. Cleophas,Aeilko H. Zwindermantlicher Ratgeber zur Diagnostik und Therapie.Innovativer AlgDer Begriff ?Fluoroquinolone-Associated Disability“ (FQAD) ist sp?testens seit der Verwendung durch die US Food and Drug Administration (FDA) etabliert – allerdings ist die Definition der FDA mit den dazugeh?renden Diagnosekriterien für den
作者: garrulous    時(shí)間: 2025-3-22 19:07
Ton J. Cleophas,Aeilko H. Zwindermanegative Fluorine Effect”, by W. Zhang, C. Ni and J. HuSynthetic and Biological Applications of Fluorous Reagents as Phase Tags, by S. Fustero, J. L. Ace?a and S. CatalánChemical Applications of Fluorous Reagents and Scavengers, by Marvin S. YuFluorous Methods for the Synthesis of Peptides and Oligon
作者: Foregery    時(shí)間: 2025-3-23 01:12
Ton J. Cleophas,Aeilko H. Zwindermanegative Fluorine Effect”, by W. Zhang, C. Ni and J. HuSynthetic and Biological Applications of Fluorous Reagents as Phase Tags, by S. Fustero, J. L. Ace?a and S. CatalánChemical Applications of Fluorous Reagents and Scavengers, by Marvin S. YuFluorous Methods for the Synthesis of Peptides and Oligon
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Ton J. Cleophas,Aeilko H. Zwindermanmistry, each written by the world renowned experts.Still valStructural, Physical, and Chemical Properties of Fluorous Compounds, by J.A. GladyszSelective Fluoroalkylation of Organic Compounds by Tackling the “Negative Fluorine Effect”, by W. Zhang, C. Ni and J. HuSynthetic and Biological Application
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Ton J. Cleophas,Aeilko H. Zwindermanegative Fluorine Effect”, by W. Zhang, C. Ni and J. HuSynthetic and Biological Applications of Fluorous Reagents as Phase Tags, by S. Fustero, J. L. Ace?a and S. CatalánChemical Applications of Fluorous Reagents and Scavengers, by Marvin S. YuFluorous Methods for the Synthesis of Peptides and Oligon
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Ton J. Cleophas,Aeilko H. Zwindermanmistry, each written by the world renowned experts.Still valStructural, Physical, and Chemical Properties of Fluorous Compounds, by J.A. GladyszSelective Fluoroalkylation of Organic Compounds by Tackling the “Negative Fluorine Effect”, by W. Zhang, C. Ni and J. HuSynthetic and Biological Application
作者: GENRE    時(shí)間: 2025-3-24 14:24
Ton J. Cleophas,Aeilko H. Zwindermanegative Fluorine Effect”, by W. Zhang, C. Ni and J. HuSynthetic and Biological Applications of Fluorous Reagents as Phase Tags, by S. Fustero, J. L. Ace?a and S. CatalánChemical Applications of Fluorous Reagents and Scavengers, by Marvin S. YuFluorous Methods for the Synthesis of Peptides and Oligon
作者: 柳樹;枯黃    時(shí)間: 2025-3-24 15:42
Ton J. Cleophas,Aeilko H. Zwindermanmistry, each written by the world renowned experts.Still valStructural, Physical, and Chemical Properties of Fluorous Compounds, by J.A. GladyszSelective Fluoroalkylation of Organic Compounds by Tackling the “Negative Fluorine Effect”, by W. Zhang, C. Ni and J. HuSynthetic and Biological Application
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stability, dielectric constant) and (2) surface properties (e.g., low surface tension, low coefficient of friction). The types of materials available and properties imparted are not exclusive and overlap substantially. From this array of fluorocarbons and attributes, a large variety of unique mater
作者: 舊病復(fù)發(fā)    時(shí)間: 2025-3-25 05:18
Ton J. Cleophas,Aeilko H. Zwindermans. The aim of this chapter is to cover the role of DPD in treatment by fluoropyrimidines with considerations on the link between DPD and 5-FU pharmacokinetics, the importance of DPD deficiencies, the existence of DPD circadian rhythm with its clinical consequences, the comparison between DPD genotyp
作者: Lime石灰    時(shí)間: 2025-3-25 09:58
Ton J. Cleophas,Aeilko H. Zwinderman resistance emerging among pneumococci from a number of countries including: Canada, Spain, Hong Kong, Eastern and Central Europe, and Northern Ireland Figure 1. In Canada, Chen et al. [6] found that the prevalence of ciprofloxacin-resistant pneumococci (MIC >_ 4.ug/ml) increased from 0% in 1993 to
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Ton J. Cleophas,Aeilko H. Zwindermand dabei zeitsparende Eingrenzung des neuen Krankheitsbildes erreichen, um diese im Praxisalltag zu implementieren. Praxiserfahrungen des Autors mit inzwischen mehr als 250 FQAD-Patienten erg?nzen das .essential..978-3-658-29841-8978-3-658-29842-5Series ISSN 2197-6708 Series E-ISSN 2197-6716
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Ton J. Cleophas,Aeilko H. ZwindermanHe, L. T. Mika and I. T. HorváthFluorous Hydrosilylation, by M. Carreira and M. ContelFluorous Hydroformylation, by X. Zhao, D. He, L.T. Mika and I. HorvathIncorporation of Fluorous Glycosides to Cell Membrane and Saccharide Chain Elongation by Cellular Enzymes, by K. HatanakaTeflon AF Materials, by
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Ton J. Cleophas,Aeilko H. ZwindermanHe, L. T. Mika and I. T. HorváthFluorous Hydrosilylation, by M. Carreira and M. ContelFluorous Hydroformylation, by X. Zhao, D. He, L.T. Mika and I. HorvathIncorporation of Fluorous Glycosides to Cell Membrane and Saccharide Chain Elongation by Cellular Enzymes, by K. HatanakaTeflon AF Materials, by
作者: ASSET    時(shí)間: 2025-3-26 16:27
Ton J. Cleophas,Aeilko H. ZwindermanHe, L. T. Mika and I. T. HorváthFluorous Hydrosilylation, by M. Carreira and M. ContelFluorous Hydroformylation, by X. Zhao, D. He, L.T. Mika and I. HorvathIncorporation of Fluorous Glycosides to Cell Membrane and Saccharide Chain Elongation by Cellular Enzymes, by K. HatanakaTeflon AF Materials, by
作者: Hallowed    時(shí)間: 2025-3-26 19:36
Ton J. Cleophas,Aeilko H. ZwindermanHe, L. T. Mika and I. T. HorváthFluorous Hydrosilylation, by M. Carreira and M. ContelFluorous Hydroformylation, by X. Zhao, D. He, L.T. Mika and I. HorvathIncorporation of Fluorous Glycosides to Cell Membrane and Saccharide Chain Elongation by Cellular Enzymes, by K. HatanakaTeflon AF Materials, by
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More on Nonlinear Regressions,ression) packages. They consist of simple empirical methods often successful for linear remodeling of nonlinear data..Data that look sinusoidal, can, generally, be successfully modeled using polynomial regression or Fourier analysis. For exponential patterns like plasma concentration time relationsh
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Ton J. Cleophas,Aeilko H. Zwindermanrous Hydroformylation, by X. Zhao, D. He, L.T. Mika and I. HorvathIncorporation of Fluorous Glycosides to Cell Membrane and Saccharide Chain Elongation by Cellular Enzymes, by K. HatanakaTeflon AF Materials, by978-3-642-43975-9978-3-642-25234-1Series ISSN 0340-1022 Series E-ISSN 1436-5049
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Ton J. Cleophas,Aeilko H. Zwindermanrous Hydroformylation, by X. Zhao, D. He, L.T. Mika and I. HorvathIncorporation of Fluorous Glycosides to Cell Membrane and Saccharide Chain Elongation by Cellular Enzymes, by K. HatanakaTeflon AF Materials, by978-3-642-43975-9978-3-642-25234-1Series ISSN 0340-1022 Series E-ISSN 1436-5049
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Ton J. Cleophas,Aeilko H. Zwindermanrous Hydroformylation, by X. Zhao, D. He, L.T. Mika and I. HorvathIncorporation of Fluorous Glycosides to Cell Membrane and Saccharide Chain Elongation by Cellular Enzymes, by K. HatanakaTeflon AF Materials, by978-3-642-43975-9978-3-642-25234-1Series ISSN 0340-1022 Series E-ISSN 1436-5049
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Ton J. Cleophas,Aeilko H. Zwindermanrous Hydroformylation, by X. Zhao, D. He, L.T. Mika and I. HorvathIncorporation of Fluorous Glycosides to Cell Membrane and Saccharide Chain Elongation by Cellular Enzymes, by K. HatanakaTeflon AF Materials, by978-3-642-43975-9978-3-642-25234-1Series ISSN 0340-1022 Series E-ISSN 1436-5049
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Analysis of Variance,Data with a continuous outcome and a categorical predictor can be analyzed either with multiple linear regression or with one way Anova. The results and all of the computations are identical. Analysis of variance is just another regression model with intercepts and regression coefficients.
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Confirmative Regressions,ecades modern regression methods have proven to be much more precise. And so it is time, that a book described regression analyses for clinicians. The current edition is the first to do so. Three examples are given of regression analyses as primary analysis from controlled trials.
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Polytomous Outcome Regressions,d of continuously measured outcomes. Polytomous outcome regressions are regressions with categorical rather than continuous outcomes. Five methods of analysis are reviewed in this chapter. With multinomial regression the outcome categories are equally present in the data. With ordinal regression one
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Time to Event Regressions Other Than Traditional Cox,umbers of events are often disproportionate with time, or checks are not timely made, or changes are sinusoidally due to seasonal effect. Many more mechanisms may bias exponential event patterns. Examples are given as well as appropriate methods for analyses.
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Laplace Regressions, Multi-instead of Mono-exponential Regressions,ans. The term mixed effect models refers to the random effect statistical regression models applied. More information of mixed effects linear models is given in the Chap. 8. This chapter addressed mixed effect . models, particularly mixed effects multi-exponential models. Especially, concentration-t
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Standardized Regression Coefficients,e factors. Path analysis, structural equation modeling, and Bayesian networks are able to account not only Bayesian Networks direct but also indirect relationships across a network of variables. Unfortunately, p-values are not provided, but Akaike information indexes can be used to assess and compar
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Multivariate Analysis of Variance and Canonical Regression,ables it can handle and due to the flaw of positive correlations between variables minimizing the statistical power of the models. Also overall statistics are lacking. Canonical analysis is wonderful, because it can handle many more variables than Manova, accounts for the relative importance of the
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Regression Trend Testing,xpected and we need, particularly, sensitive tests. A standard approach to the analysis of such data is multiple groups analysis of variance (Anova) and multiple groups chi-square tests, but a more sensitive approach may be a trend-analysis. A trend means an association between the order of treatmen
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