Tools

LEADER 03696cam a2200409Ia 4500

001 61262311;

003 OCoLC;

005 20141212020900.0;

008 050801s2006 maua b 001 0 eng ;

010 a| 2005022331;

020 a| 0727918702 :c| $63.96;

035 a| (Sirsi) H1039041;

035 a| (OCoLC)61262311;

049 a| NEHH;

100 1 a| Schulman, Joseph,d| 1950-=| ^A946811;

245 10 a| Managing your patients' data in the neonatal and pediatric ICU :b| an introduction to databases and statistical analysis /c| Joseph Schulman.;

260 a| Malden, MA :b| BMJ Books/Blackwell Pub.,c| 2006.;

300 a| x, 365 pages :b| illustrations ;c| 25 cm +e| 1 CD-ROM (4 3/4 in.).;

336 a| text2| rdacontent;

337 a| unmediated2| rdamedia;

338 a| volume2| rdacarrier;

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

504 a| Includes bibliographical references (p. 355-360) and index.;

505 0 a| 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.;

650 12 a| Database Management Systems.=| ^A923108;

650 22 a| Infant, Newborn.=| ^A935916;

650 22 a| Medical Records.=| ^A918104;

650 22 a| Models, Statistical.=| ^A927368;

650 22 a| Neonatologyx| methods.=| ^A946812;

994 a| C0b| NEH;

919 a| BOOK;

959 a| 1039041;

096 a| WS 26.5 S386m 2006;

596 a| 4;

998 a| 1573376;

999 a| WS 26.5 S386M 2006w| NLMc| 2i| 31740008043782d| 6/30/2015f| 6/30/2015g| 2l| HSLBKm| HSLp| $63.96r| Ys| Yt| HBKu| 10/5/2006x| BOOKz| HSTACKSo| .STAFF. 0;

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

Author/creator	Schulman, Joseph, 1950-
Format	Book
Publication Info	Malden, MA : BMJ Books/Blackwell Pub., 2006.
Description	x, 365 pages : illustrations ; 25 cm + 1 CD-ROM (4 3/4 in.).
Subjects	Database Management Systems. Infant, Newborn. Medical Records. Models, Statistical. Neonatology--methods.

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.
General note	"Includes eNICU software for the neonatal intensive care unit, which may be modified for local use or other clinical settings."
Bibliography note	Includes bibliographical references (p. 355-360) and index.
LCCN	2005022331
ISBN	0727918702 :

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Library	Location	Call Number	Status	Item Actions
Laupus	Books - Stacks	WS 26.5 S386M 2006	✔ Available	Place Hold

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

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