Titlebook: Methods and Biostatistics in Oncology; Understanding Clinic Raphael. L.C Araújo,Rachel P. Riechelmann Book 2018 Springer International Publ

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Testing Measures of Associations,etermining whether a parametric test or a nonparametric test would be more appropriate. In this chapter we will discuss the characteristics of the tests of measures of association commonly performed in clinical cancer research, when to use the tests, and how to interpret the accuracy of their results.

Preamble

Interpretation of Results from Tables, Graphs, and Regressions in Cancer Research,mes in clinical research are univariate regression and multivariate regression; here we describe the use of these methods. However, despite being widely used in cancer research, these tools are not easily interpreted, are sometimes overused, and may be associated with hidden biases.

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CRUE

Identifying Bias in Clinical Cancer Research,ty to avoid the introduction of bias in cancer research. In this chapter we discuss the most frequent types of bias encountered in clinical oncology research, as well as potential solutions to minimize them.

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BANAL

https://doi.org/10.1007/978-3-319-71324-3Oncology; Clinical research; Outcomes; Biostatistics; Research; Methods; Methodology

礦石

滋養(yǎng)

How to Design Phase I Trials in Oncology, in combination, in human trial participants. To achieve these objectives, preclinical data, trial design methodology and dose selection should be carefully considered and assimilated. In the following chapter the fundamental principles of phase 1 trial design will be outlined.

過時(shí)

Raphael. L.C Araújo,Rachel P. RiechelmannA tailor-made book on clinical research and biostatistics in oncology.Focuses on practical and applicable knowledge and usefulness in daily practice, allowing readers to properly appraise literature.A

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