Managing your patients' data in the neonatal and pediatric ICU [[electronic resource] ] : an introduction to databases and statistical analysis / / Joseph Schulman |
Autore | Schulman Joseph <1950-> |
Pubbl/distr/stampa | Malden, Mass., : BMJ Books/Blackwell Pub., 2006 |
Descrizione fisica | 1 online resource (378 p.) |
Disciplina | 618.92/01/0285 |
Soggetto topico |
Medical records - Data processing
Neonatology Neonatology - Statistical methods |
Soggetto genere / forma | Electronic books. |
ISBN |
1-281-32106-0
9786611321062 0-470-79122-5 0-470-75745-0 0-470-75741-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Managing your patients' data in the neonatal and pediatric ICU: An introduction to databases and statistical analysis; Contents; ENICU installation and administration instructions; Acknowledgments; Chapter 1 Introduction; Part I Managing data and routine reporting; Section 1 The process of managing clinical data; Chapter 2 Paper-based patient records; Chapter 3 Computer-based patient records; Chapter 4 Aims of a patient data management process; Section 2 Modeling data: Accurately representing our work and storing the data so we may reliably retrieve them
Chapter 5 Data, information, and knowledge Chapter 6 Single tables and their limitations; Chapter 7 Multiple tables: Where to put the data, relationships among tables, and creating a database; Chapter 8 Relational database management systems: normalization (Codd 's rules); Section 3 Database software; Chapter 9 From data model to database software; Chapter 10 Integrity: anticipating and preventing data accuracy problems; Chapter 11 Queries, forms, and reports; Chapter 12 Programming for greater software control Chapter 13 Turning ideas into a useful tool: ENICU, point of care database software for the NICU Chapter 14 Making ENICU serve your own needs; Section 4 Database administration; Chapter 15 Single versus multiple users; Chapter 16 Backup and recovery: assuring your data persists; Chapter 17 Security: controlling access and protecting patient confidentiality; Conclusion Part I: Maintaining focus on a moving target; Part II Learning from aggregate experience: exploring and analyzing data sets; Section 5 Interrogating data Chapter 18 Asking questions of a data set: crafting a conceptual framework and testable hypothesis Chapter 19 Stata: a software tool to analyze data and produce graphical displays; Chapter 20 Preparing to analyze data; Section 6 Analytical concepts and methods; Chapter 21 Variable types; Chapter 22 Measurement values vary: describing their distribution and summarizing them quantitatively; Chapter 23 Data from all versus some: populations and samples; Chapter 24 Estimating population parameters: confidence intervals; Chapter 25 Comparing two sample means and testing a hypothesis Chapter 26 Type I and type II error in a hypothesis test, power, and sample size Chapter 27 Comparing proportions: introduction to rates and odds; Chapter 28 Stratifying the analysis of dichotomous outcomes: confounders and effect modifiers; the Mantel-Haenszel method; Chapter 29 Ways to measure and compare the frequency of outcomes, and standardization to compare rates; Chapter 30 Comparing the means of more than two samples; Chapter 31 Assuming little about the data: nonparametric methods of hypothesis testing Chapter 32 Correlation: measuring the relationship between two continuous variables |
Record Nr. | UNINA-9910145553303321 |
Schulman Joseph <1950-> | ||
Malden, Mass., : BMJ Books/Blackwell Pub., 2006 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Managing your patients' data in the neonatal and pediatric ICU [[electronic resource] ] : an introduction to databases and statistical analysis / / Joseph Schulman |
Autore | Schulman Joseph <1950-> |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Malden, Mass., : BMJ Books/Blackwell Pub., 2006 |
Descrizione fisica | 1 online resource (378 p.) |
Disciplina | 618.92/01/0285 |
Soggetto topico |
Medical records - Data processing
Neonatology Neonatology - Statistical methods |
ISBN |
1-281-32106-0
9786611321062 0-470-79122-5 0-470-75745-0 0-470-75741-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Managing your patients' data in the neonatal and pediatric ICU: An introduction to databases and statistical analysis; Contents; ENICU installation and administration instructions; Acknowledgments; Chapter 1 Introduction; Part I Managing data and routine reporting; Section 1 The process of managing clinical data; Chapter 2 Paper-based patient records; Chapter 3 Computer-based patient records; Chapter 4 Aims of a patient data management process; Section 2 Modeling data: Accurately representing our work and storing the data so we may reliably retrieve them
Chapter 5 Data, information, and knowledge Chapter 6 Single tables and their limitations; Chapter 7 Multiple tables: Where to put the data, relationships among tables, and creating a database; Chapter 8 Relational database management systems: normalization (Codd 's rules); Section 3 Database software; Chapter 9 From data model to database software; Chapter 10 Integrity: anticipating and preventing data accuracy problems; Chapter 11 Queries, forms, and reports; Chapter 12 Programming for greater software control Chapter 13 Turning ideas into a useful tool: ENICU, point of care database software for the NICU Chapter 14 Making ENICU serve your own needs; Section 4 Database administration; Chapter 15 Single versus multiple users; Chapter 16 Backup and recovery: assuring your data persists; Chapter 17 Security: controlling access and protecting patient confidentiality; Conclusion Part I: Maintaining focus on a moving target; Part II Learning from aggregate experience: exploring and analyzing data sets; Section 5 Interrogating data Chapter 18 Asking questions of a data set: crafting a conceptual framework and testable hypothesis Chapter 19 Stata: a software tool to analyze data and produce graphical displays; Chapter 20 Preparing to analyze data; Section 6 Analytical concepts and methods; Chapter 21 Variable types; Chapter 22 Measurement values vary: describing their distribution and summarizing them quantitatively; Chapter 23 Data from all versus some: populations and samples; Chapter 24 Estimating population parameters: confidence intervals; Chapter 25 Comparing two sample means and testing a hypothesis Chapter 26 Type I and type II error in a hypothesis test, power, and sample size Chapter 27 Comparing proportions: introduction to rates and odds; Chapter 28 Stratifying the analysis of dichotomous outcomes: confounders and effect modifiers; the Mantel-Haenszel method; Chapter 29 Ways to measure and compare the frequency of outcomes, and standardization to compare rates; Chapter 30 Comparing the means of more than two samples; Chapter 31 Assuming little about the data: nonparametric methods of hypothesis testing Chapter 32 Correlation: measuring the relationship between two continuous variables |
Record Nr. | UNISA-996205991403316 |
Schulman Joseph <1950-> | ||
Malden, Mass., : BMJ Books/Blackwell Pub., 2006 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Managing your patients' data in the neonatal and pediatric ICU : an introduction to databases and statistical analysis / / Joseph Schulman |
Autore | Schulman Joseph <1950-> |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Malden, Mass., : BMJ Books/Blackwell Pub., 2006 |
Descrizione fisica | 1 online resource (378 p.) |
Disciplina | 618.92/01/0285 |
Soggetto topico |
Medical records - Data processing
Neonatology Neonatology - Statistical methods |
ISBN |
1-281-32106-0
9786611321062 0-470-79122-5 0-470-75745-0 0-470-75741-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Managing your patients' data in the neonatal and pediatric ICU: An introduction to databases and statistical analysis; Contents; ENICU installation and administration instructions; Acknowledgments; Chapter 1 Introduction; Part I Managing data and routine reporting; Section 1 The process of managing clinical data; Chapter 2 Paper-based patient records; Chapter 3 Computer-based patient records; Chapter 4 Aims of a patient data management process; Section 2 Modeling data: Accurately representing our work and storing the data so we may reliably retrieve them
Chapter 5 Data, information, and knowledge Chapter 6 Single tables and their limitations; Chapter 7 Multiple tables: Where to put the data, relationships among tables, and creating a database; Chapter 8 Relational database management systems: normalization (Codd 's rules); Section 3 Database software; Chapter 9 From data model to database software; Chapter 10 Integrity: anticipating and preventing data accuracy problems; Chapter 11 Queries, forms, and reports; Chapter 12 Programming for greater software control Chapter 13 Turning ideas into a useful tool: ENICU, point of care database software for the NICU Chapter 14 Making ENICU serve your own needs; Section 4 Database administration; Chapter 15 Single versus multiple users; Chapter 16 Backup and recovery: assuring your data persists; Chapter 17 Security: controlling access and protecting patient confidentiality; Conclusion Part I: Maintaining focus on a moving target; Part II Learning from aggregate experience: exploring and analyzing data sets; Section 5 Interrogating data Chapter 18 Asking questions of a data set: crafting a conceptual framework and testable hypothesis Chapter 19 Stata: a software tool to analyze data and produce graphical displays; Chapter 20 Preparing to analyze data; Section 6 Analytical concepts and methods; Chapter 21 Variable types; Chapter 22 Measurement values vary: describing their distribution and summarizing them quantitatively; Chapter 23 Data from all versus some: populations and samples; Chapter 24 Estimating population parameters: confidence intervals; Chapter 25 Comparing two sample means and testing a hypothesis Chapter 26 Type I and type II error in a hypothesis test, power, and sample size Chapter 27 Comparing proportions: introduction to rates and odds; Chapter 28 Stratifying the analysis of dichotomous outcomes: confounders and effect modifiers; the Mantel-Haenszel method; Chapter 29 Ways to measure and compare the frequency of outcomes, and standardization to compare rates; Chapter 30 Comparing the means of more than two samples; Chapter 31 Assuming little about the data: nonparametric methods of hypothesis testing Chapter 32 Correlation: measuring the relationship between two continuous variables |
Record Nr. | UNINA-9910828765003321 |
Schulman Joseph <1950-> | ||
Malden, Mass., : BMJ Books/Blackwell Pub., 2006 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|