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, and creating a database -- Relational database management systems: normalization (Codd's rules) -- From
data model to database software -- Integrity: anticipating and preventing
data accuracy problems -- 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 versus multiple users -- Backup and recovery: assuring your
data persists -- Security: controlling access and protecting patient confidentiality -- Asking questions of a
data set: 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 versus some: populations and samples -- Estimating population parameters: confidence intervals -- Comparing two sample means and testing a hypothesis -- Type I and type II error in a hypothesis test, power, and sample size -- Comparing proportions: introduction to rates and odds -- Stratifying the analysis of dichotomous outcomes: confounders and effect modifiers; the Mantel-Haenszel method -- Ways to measure and compare the frequency of outcomes, and standardization to compare rates -- Comparing the means of more than two samples -- Assuming little about the
data: nonparametric 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, and receiver operating characteristic -- Predicting outcomes over time: survival analysis -- Choosing variables and hypotheses: practical considerations....
”
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