Data Analysis
- PMID: 31314259
- Bookshelf ID: NBK543628
- DOI: 10.1007/978-3-319-43742-2_16
Data Analysis
Excerpt
This chapter presents an overview of data analysis for health data. We give a brief introduction to some of the most common methods for data analysis of health care data, focusing on choosing appropriate methodology for different types of study objectives, and on presentation and the interpretation of data analysis generated from health data. We will provide an overview of three very powerful analysis methods: linear regression, logistic regression and Cox proportional hazards models, which provide the foundation for most data analysis conducted in clinical studies.
Copyright 2016, The Author(s).
Sections
References
-
- Goldberger AL, Amaral LA, Glass L, Hausdorff JM, Ivanov PC, Mark RG, Mietus JE, Moody GB, Peng C-K, Stanley HE (2000) Physiobank, physiotoolkit, and physionet components of a new research resource for complex physiologic signals. Circulation 101(23):e215–e220 - PubMed
-
- Indwelling arterial catheter clinical data from the MIMIC II database (2016) Available http://physionet.org/physiobank/database/mimic2-iaccd/. Accessed: 02 Jun 2016
-
- Friedman J, Hastie T, Tibshirani R (2009) The elements of statistical learning: data mining, inference, and prediction. Springer series in statistics
-
- James G, Witten D, Hastie T, Tibshirani R (2013) An introduction to statistical learning, vol 112. Springer, Berlin
Publication types
LinkOut - more resources
Full Text Sources