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Managing your patients' data in the neonatal and pediatric ICU: an introduction to databases and statistical analysis
2006, Blackwell Pub., Blackwell Publishing
in English
0727918702 9780727918703
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Book Details
Table of Contents
Paper-based patient records
Computer-based patient records
Aims of a patient data management process
Data, information, and knowledge
Single tables and their limitations
Multiple tables: where to put the data; relationships among tables; creating a database
Relational database management systems: normalization; Codd's rules
From data model to database software
Integrity: anticipating and preventing problems with data accuracy
Queries, forms, and reports
Programming for greater software control
Turning ideas into a useful tool: eNICU point of care database software for the NICU
Making eNICU serve your own needs
Single vs. multiple user
Backup: assuring your data persists
Security: controlling access and protecting patient confidentiality
Crafting a conceptual framework and testable hypothesis
Stata: a software tool to analyze data and produce graphical displays
Preparing to analyze data
Variable types
Measurement values vary: describing their distribution and summarizing them quantitatively
Data from all or some: populations and samples
Estimating population parameters; confidence intervals
Comparing two sample means; statistical significance and clinical significance
Type I and type II error in a hypothesis test; power; sample size
Comparing proportions; introduction to rates and odds
Stratifying the analysis of dichotomous outcomes; confounders and effect modifiers; multiple 2 x 2 tables: the Mantel-Haenszel method
Ways to measure and compare the frequency of outcomes; standardization
Comparing the means of more than two samples
Assuming little about the data: non-parametric methods of hypothesis testing
Correlation: measuring the relationship between two continuous variables
Predicting continuous outcomes: univariate and multivariate linear regression
Predicting dichotomous outcomes: logistic regression; receiver operating characteristic (ROC)
Predicting outcomes over time: survival analysis
Choosing variables and hypotheses: practical considerations.
Edition Notes
Includes bibliographical references.
"Includes eNICU software for the neonatal intensive care unit, which may be modified for local use or other clinical settings."
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- Created April 1, 2008
- 12 revisions
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