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Managing your patients' data in the neonatal and pediatric ICU : an introduction to databases and statistical analysis /

by Schulman, Joseph,
Published by : Blackwell Pub., (Malden, Mass. :) Physical details: x, 365 p. : ill. ; 25 cm. + ISBN: 0727918702 Subject(s): Neonatology %Databases. | Neonatology %Statistical methods. | Medical records %Data processing. | Database Management Systems %Infant, Newborn. | Medical Records %Infant, Newborn. | Models, Statistical. | Neonatology %methods. Year: 2006
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Item type Location Call Number Status Date Due
Book Book AUM Main Library English Collections Hall 618.92010285 S375 (Browse Shelf) Available
Book Book AUM Main Library English Collections Hall 618.92010285 S375 (Browse Shelf) Available

"Includes eNICU software for the neonatal intensive care unit, which may be modified for local use or other clinical settings."

Includes bibliographical references.

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.

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