Titlebook: Topics in Biostatistics; Walter T. Ambrosius Book 2007 Humana Press 2007 Radiologieinformationssystem.bioinformatics.biostatistics.cancer.

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書目名稱Topics in Biostatistics影響因子(影響力)




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書目名稱Topics in Biostatistics網(wǎng)絡(luò)公開度




書目名稱Topics in Biostatistics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Topics in Biostatistics被引頻次




書目名稱Topics in Biostatistics被引頻次學(xué)科排名




書目名稱Topics in Biostatistics年度引用




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Observational Study Design,troduces the major types of observational study designs: the longitudinal or cohort study, the comparative or case-control study, and some of their variants. It also includes examples of the key measures of relationship between factor and outcome in observational studies, the relative risk and the o

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Statistical Inference on Categorical Variables,pter, we first describe types of categorical data (nominal and ordinal) and how these types of data are distributed (binomial, multinomial, and independent multinomial). Next, methods for estimation and making statistical inferences for categorical data in commonly seen situations are presented. Thi

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ENNUI

Correlation and Simple Linear Regression, continuous variables with each other. These steps include estimation and inference, assessing model fit, the connection between regression and ANOVA, and study design. Examples in microbiology are used throughout. This chapter provides a framework that is helpful in understanding more complex stati

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Multiple Linear Regression, continuous outcome. Important steps in using this approach include estimation and inference, variable selection in model building, and assessing model fit. The special cases of regression with interactions among the variables, polynomial regression, regressions with categorical (grouping) variables

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Scintillations

Linear Mixed Effects Models, requires balancing adequate representation of the process with simplicity. Experiments involving multiple (correlated) observations per subject do not satisfy the assumption of independence required for most methods described in previous chapters. In some experiments, the amount of random variation