Statistics for Life Sciences, Medicine, Health Sciences.
概要
| 作品: | 108 作品在 108 項出版品 108 種語言 | |
|---|---|---|
書目資訊
Designing and conducting a forest inventory - case = 9th national forest inventory of Finland /
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Chemometrics with R = multivariate data analysis in the natural sciences and life sciences /
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Multivariate nonparametric methods with R = an approach based on spatial signs and ranks /
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Regression Methods in Biostatistics = Linear, Logistic, Survival, and Repeated Measures Models /
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Regression methods in biostatistics = linear, logistic, survival, and repeated measures models /
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Statistical methods for environmental epidemiology with R = a case study in air pollution and health /
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Health Research in Developing Countries = A collaboration between Burkina Faso and Germany /
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Analysis of Variance for Random Models. = Theory, Methods, Applications, and Data Analysis /. Volume 2,. Unbalanced Data
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Ranking and prioritization for multi-indicator systems = introduction to partial order applications /
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Numerical methods for singularly perturbed differential equations = convection-diffusion and flow problems /
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Modern infectious disease epidemiology = concepts, methods, mathematical models and public health /
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Composite sampling = a novel method to accomplish observational economy in environmental studies /
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COMPSTAT 2008 = proceedings in computational statistics : 18th Symposium held in Porto, Portugal, 2008 /
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Some mathematical models from population genetics = Ecole d'ete de probabilites de Saint-flour XXXIX-2009 /
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Advances in Ranking and Selection, Multiple Comparisons, and Reliability = Methodology and Applications /
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Mathematics - keytechnology for the future = joint projects between universities and industry 2004 -2007 /
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Biostatistics for radiologists = planning, performing, and writing a radiologic study /
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Mathematical and statistical models and methods in reliability = applications to medicine, finance, and quality control /
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It's great! oops, no it isn't = why clinical research can't guarantee the right medical answers /
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Clinical prediction models = a practical approach to development, validation, and updating /
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Modeling infectious disease parameters based on serological and social contact data = a modern statistical perspective /
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Comparative effectiveness and efficacy research and analysis for practice (CEERAP) = applications in health care /
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Advances in degradation modeling = applications to reliability, survival analysis, and finance /
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