Refinement of the HCUP quality indicators |
Pubbl/distr/stampa | [Place of publication not identified], : Agency for Healthcare Research and Quality, 2001 |
Descrizione fisica | 1 online resource |
Collana |
Technical Reviews
AHRQ publication |
Soggetto topico |
Quality of Health Care
Health Services Administration Health Care Quality Indicators, Health Care |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910698280003321 |
[Place of publication not identified], : Agency for Healthcare Research and Quality, 2001 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Research activities |
Pubbl/distr/stampa | Rockville, MD, : AHCPR, Office of Health Care Information |
Descrizione fisica | 1 online resource |
Disciplina | 362 |
Collana | AHCPR pub. |
Soggetto topico |
Health services administration - Research - United States
Medical care - Research - United States Health Services Research Delivery of Health Care Quality of Health Care Health Services - economics Health services administration - Research Medical care - Research Research |
Soggetto genere / forma | Periodicals. |
ISSN | 2167-3381 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Altri titoli varianti |
AHCPR research activities
AHRQ research activities |
Record Nr. | UNINA-9910143787303321 |
Rockville, MD, : AHCPR, Office of Health Care Information | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Research activities |
Pubbl/distr/stampa | Rockville, MD, : AHCPR, Office of Health Care Information |
Descrizione fisica | 1 online resource |
Disciplina | 362 |
Collana | AHCPR pub. |
Soggetto topico |
Health services administration - Research - United States
Medical care - Research - United States Health Services Research Delivery of Health Care Quality of Health Care Health Services - economics Health services administration - Research Medical care - Research Research |
Soggetto genere / forma | Periodicals. |
ISSN | 2167-3381 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Altri titoli varianti |
AHCPR research activities
AHRQ research activities |
Record Nr. | UNINA-9910689496203321 |
Rockville, MD, : AHCPR, Office of Health Care Information | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Safety in Health |
Pubbl/distr/stampa | London : , : BioMed Central, , [2015]- |
Descrizione fisica | 1 online resource |
Soggetto topico |
Medical care - Quality control
Medical care - Safety measures Patients - Safety measures Patient Safety Quality of Health Care Safety Management |
Soggetto genere / forma |
Periodicals.
Fulltext Internet Resources. Periodical |
ISSN | 2056-5917 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910131491903321 |
London : , : BioMed Central, , [2015]- | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Safety in Health |
Pubbl/distr/stampa | London : , : BioMed Central, , [2015]- |
Descrizione fisica | 1 online resource |
Soggetto topico |
Medical care - Quality control
Medical care - Safety measures Patients - Safety measures Patient Safety Quality of Health Care Safety Management |
Soggetto genere / forma |
Periodicals.
Fulltext Internet Resources. Periodical |
ISSN | 2056-5917 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996204586703316 |
London : , : BioMed Central, , [2015]- | ||
![]() | ||
Lo trovi qui: Univ. di Salerno | ||
|
Safety of probiotics to reduce risk and prevent or treat disease |
Pubbl/distr/stampa | [Place of publication not identified], : U S Dept of Health and Human Services Public Health Service Agency for Healthcare Research and Q, 2011 |
Descrizione fisica | 1 online resource (vii, 182 p.) |
Altri autori (Persone) | HempelSusanne |
Collana | Evidence report/technology assessment Safety of probiotics to reduce risk and prevent or treat disease |
Soggetto topico |
Probiotics
Dietary Supplements Risk Risk Management Public Health Epidemiologic Measurements Clinical Medicine Evidence-Based Practice Probability Food Organization and Administration Environment and Public Health Health Occupations Medicine Statistics as Topic Health Care Health Services Administration Food and Beverages Health Care Evaluation Mechanisms Epidemiologic Methods Technology, Industry, and Agriculture Investigative Techniques Quality of Health Care Diagnostic Techniques and Procedures Health Care Quality, Access, and Evaluation Risk Assessment Evidence-Based Medicine Consumer Product Safety Health & Biological Sciences Biology Microbiology & Immunology Pharmacy, Therapeutics, & Pharmacology |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | volume 1. Evidence report -- volume 2. Appendices. |
Record Nr. | UNINA-9910714822703321 |
[Place of publication not identified], : U S Dept of Health and Human Services Public Health Service Agency for Healthcare Research and Q, 2011 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Shared governance : a practical approach to transforming interprofessional healthcare |
Autore | Swihart Diana |
Pubbl/distr/stampa | [Place of publication not identified], : HCPro, 2014 |
Soggetto topico |
Interpersonal Relations
Organization and Administration Health Care Quality, Access, and Evaluation Health Services Research Models, Theoretical Health Care Evaluation Mechanisms Patient Care Management Health Services Administration Health Care Health Planning Investigative Techniques Psychology, Social Quality of Health Care Health Care Economics and Organizations Behavior and Behavior Mechanisms Psychiatry Interprofessional Relations Organizational Case Studies Models, Organizational Delivery of Health Care Decision Making, Organizational |
ISBN | 1-55645-116-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910157724203321 |
Swihart Diana
![]() |
||
[Place of publication not identified], : HCPro, 2014 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Starting out in Statistics [[electronic resource] ] : An Introduction for Students of Human Health, Disease, and Psychology |
Autore | De Winter Patricia <1968-> |
Pubbl/distr/stampa | Somerset, : Wiley, 2014 |
Descrizione fisica | 1 online resource (312 p.) |
Disciplina | 610.2/1 |
Altri autori (Persone) | CahusacPeter M. B |
Soggetto topico |
Medical statistics -- Textbooks
Medical statistics Health Care Evaluation Mechanisms Medicine Methods Mathematics Research Epidemiologic Methods Environment and Public Health Health Investigative Techniques Natural Science Disciplines Science Population Characteristics Quality of Health Care Health Occupations Health Care Health Care Quality, Access, and Evaluation Analytical, Diagnostic and Therapeutic Techniques and Equipment Disciplines and Occupations Public Health Statistics as Topic Research Design Health & Biological Sciences Medical Statistics |
Soggetto genere / forma | Electronic books. |
ISBN | 1-118-92055-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Starting Out in Statistics; Contents; Introduction - What's the Point of Statistics?; Reference; Basic Maths for Stats Revision; Statistical Software Packages; About the Companion Website; 1 Introducing Variables, Populations and Samples - 'Variability is the Law of Life'; 1.1 Aims; 1.2 Biological data vary; 1.3 Variables; 1.4 Types of qualitative variables; 1.4.1 Nominal variables; 1.4.2 Multiple response variables; 1.4.3 Preference variables; 1.5 Types of quantitative variables; 1.5.1 Discrete variables; 1.5.2 Continuous variables; 1.5.3 Ordinal variables - a moot point
1.6 Samples and populations1.7 Summary; Reference; 2 Study Design and Sampling - 'Design is Everything. Everything!'; 2.1 Aims; 2.2 Introduction; 2.3 One sample; 2.4 Related samples; 2.5 Independent samples; 2.6 Factorial designs; 2.7 Observational study designs; 2.7.1 Cross-sectional design; 2.7.2 Case-control design; 2.7.3 Longitudinal studies; 2.7.4 Surveys; 2.8 Sampling; 2.9 Reliability and validity; 2.10 Summary; References; 3 Probability - 'Probability ... So True in General'; 3.1 Aims; 3.2 What is probability?; 3.3 Frequentist probability; 3.4 Bayesian probability 3.5 The likelihood approach3.6 Summary; References; 4 Summarising Data - 'Transforming Data into Information'; 4.1 Aims; 4.2 Why summarise?; 4.3 Summarising data numerically - descriptive statistics; 4.3.1 Measures of central location; 4.3.2 Measures of dispersion; 4.4 Summarising data graphically; 4.5 Graphs for summarising group data; 4.5.1 The bar graph; 4.5.2 The error plot; 4.5.3 The box-and-whisker plot; 4.5.4 Comparison of graphs for group data; 4.5.5 A little discussion on error bars; 4.6 Graphs for displaying relationships between variables; 4.6.1 The scatter diagram or plot 4.6.2 The line graph4.7 Displaying complex (multidimensional) data; 4.8 Displaying proportions or percentages; 4.8.1 The pie chart; 4.8.2 Tabulation; 4.9 Summary; References; 5 Statistical Power - '. . . Find out the Cause of this Effect'; 5.1 Aims; 5.2 Power; 5.3 From doormats to aortic valves; 5.4 More on the normal distribution; 5.4.1 The central limit theorem; 5.5 How is power useful?; 5.5.1 Calculating the power; 5.5.2 Calculating the sample size; 5.6 The problem with p values; 5.7 Confidence intervals and power; 5.8 When to stop collecting data 5.9 Likelihood versus null hypothesis testing5.10 Summary; References; 6 Comparing Groups using t-Tests and ANOVA - 'To Compare is not to Prove'; 6.1 Aims; 6.2 Are men taller than women?; 6.3 The central limit theorem revisited; 6.4 Student's t-test; 6.4.1 Calculation of the pooled standard deviation; 6.4.2 Calculation of the t statistic; 6.4.3 Tables and tails; 6.5 Assumptions of the t-test; 6.6 Dependent t-test; 6.7 What type of data can be tested using t-tests?; 6.8 Data transformations; 6.9 Proof is not the answer; 6.10 The problem of multiple testing 6.11 Comparing multiple means - the principles of analysis of variance |
Record Nr. | UNINA-9910467556703321 |
De Winter Patricia <1968->
![]() |
||
Somerset, : Wiley, 2014 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Starting out in Statistics [[electronic resource] ] : An Introduction for Students of Human Health, Disease, and Psychology |
Autore | De Winter Patricia <1968-> |
Pubbl/distr/stampa | Somerset, : Wiley, 2014 |
Descrizione fisica | 1 online resource (312 p.) |
Disciplina | 610.2/1 |
Altri autori (Persone) | CahusacPeter <1957-> |
Collana | New York Academy of Sciences |
Soggetto topico |
Medical statistics -- Textbooks
Medical statistics Health Care Evaluation Mechanisms Medicine Methods Mathematics Research Epidemiologic Methods Environment and Public Health Health Investigative Techniques Natural Science Disciplines Science Population Characteristics Quality of Health Care Health Occupations Health Care Health Care Quality, Access, and Evaluation Public Health Statistics as Topic Research Design Health & Biological Sciences Medical Statistics |
ISBN | 1-118-92055-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Starting Out in Statistics; Contents; Introduction - What's the Point of Statistics?; Reference; Basic Maths for Stats Revision; Statistical Software Packages; About the Companion Website; 1 Introducing Variables, Populations and Samples - 'Variability is the Law of Life'; 1.1 Aims; 1.2 Biological data vary; 1.3 Variables; 1.4 Types of qualitative variables; 1.4.1 Nominal variables; 1.4.2 Multiple response variables; 1.4.3 Preference variables; 1.5 Types of quantitative variables; 1.5.1 Discrete variables; 1.5.2 Continuous variables; 1.5.3 Ordinal variables - a moot point
1.6 Samples and populations1.7 Summary; Reference; 2 Study Design and Sampling - 'Design is Everything. Everything!'; 2.1 Aims; 2.2 Introduction; 2.3 One sample; 2.4 Related samples; 2.5 Independent samples; 2.6 Factorial designs; 2.7 Observational study designs; 2.7.1 Cross-sectional design; 2.7.2 Case-control design; 2.7.3 Longitudinal studies; 2.7.4 Surveys; 2.8 Sampling; 2.9 Reliability and validity; 2.10 Summary; References; 3 Probability - 'Probability ... So True in General'; 3.1 Aims; 3.2 What is probability?; 3.3 Frequentist probability; 3.4 Bayesian probability 3.5 The likelihood approach3.6 Summary; References; 4 Summarising Data - 'Transforming Data into Information'; 4.1 Aims; 4.2 Why summarise?; 4.3 Summarising data numerically - descriptive statistics; 4.3.1 Measures of central location; 4.3.2 Measures of dispersion; 4.4 Summarising data graphically; 4.5 Graphs for summarising group data; 4.5.1 The bar graph; 4.5.2 The error plot; 4.5.3 The box-and-whisker plot; 4.5.4 Comparison of graphs for group data; 4.5.5 A little discussion on error bars; 4.6 Graphs for displaying relationships between variables; 4.6.1 The scatter diagram or plot 4.6.2 The line graph4.7 Displaying complex (multidimensional) data; 4.8 Displaying proportions or percentages; 4.8.1 The pie chart; 4.8.2 Tabulation; 4.9 Summary; References; 5 Statistical Power - '. . . Find out the Cause of this Effect'; 5.1 Aims; 5.2 Power; 5.3 From doormats to aortic valves; 5.4 More on the normal distribution; 5.4.1 The central limit theorem; 5.5 How is power useful?; 5.5.1 Calculating the power; 5.5.2 Calculating the sample size; 5.6 The problem with p values; 5.7 Confidence intervals and power; 5.8 When to stop collecting data 5.9 Likelihood versus null hypothesis testing5.10 Summary; References; 6 Comparing Groups using t-Tests and ANOVA - 'To Compare is not to Prove'; 6.1 Aims; 6.2 Are men taller than women?; 6.3 The central limit theorem revisited; 6.4 Student's t-test; 6.4.1 Calculation of the pooled standard deviation; 6.4.2 Calculation of the t statistic; 6.4.3 Tables and tails; 6.5 Assumptions of the t-test; 6.6 Dependent t-test; 6.7 What type of data can be tested using t-tests?; 6.8 Data transformations; 6.9 Proof is not the answer; 6.10 The problem of multiple testing 6.11 Comparing multiple means - the principles of analysis of variance |
Record Nr. | UNINA-9910796569703321 |
De Winter Patricia <1968->
![]() |
||
Somerset, : Wiley, 2014 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Starting out in Statistics [[electronic resource] ] : An Introduction for Students of Human Health, Disease, and Psychology |
Autore | De Winter Patricia <1968-> |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Somerset, : Wiley, 2014 |
Descrizione fisica | 1 online resource (312 p.) |
Disciplina | 610.2/1 |
Altri autori (Persone) | CahusacPeter <1957-> |
Collana | New York Academy of Sciences |
Soggetto topico |
Medical statistics -- Textbooks
Medical statistics Health Care Evaluation Mechanisms Medicine Methods Mathematics Research Epidemiologic Methods Environment and Public Health Health Investigative Techniques Natural Science Disciplines Science Population Characteristics Quality of Health Care Health Occupations Health Care Health Care Quality, Access, and Evaluation Public Health Statistics as Topic Research Design Health & Biological Sciences Medical Statistics |
ISBN | 1-118-92055-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Starting Out in Statistics; Contents; Introduction - What's the Point of Statistics?; Reference; Basic Maths for Stats Revision; Statistical Software Packages; About the Companion Website; 1 Introducing Variables, Populations and Samples - 'Variability is the Law of Life'; 1.1 Aims; 1.2 Biological data vary; 1.3 Variables; 1.4 Types of qualitative variables; 1.4.1 Nominal variables; 1.4.2 Multiple response variables; 1.4.3 Preference variables; 1.5 Types of quantitative variables; 1.5.1 Discrete variables; 1.5.2 Continuous variables; 1.5.3 Ordinal variables - a moot point
1.6 Samples and populations1.7 Summary; Reference; 2 Study Design and Sampling - 'Design is Everything. Everything!'; 2.1 Aims; 2.2 Introduction; 2.3 One sample; 2.4 Related samples; 2.5 Independent samples; 2.6 Factorial designs; 2.7 Observational study designs; 2.7.1 Cross-sectional design; 2.7.2 Case-control design; 2.7.3 Longitudinal studies; 2.7.4 Surveys; 2.8 Sampling; 2.9 Reliability and validity; 2.10 Summary; References; 3 Probability - 'Probability ... So True in General'; 3.1 Aims; 3.2 What is probability?; 3.3 Frequentist probability; 3.4 Bayesian probability 3.5 The likelihood approach3.6 Summary; References; 4 Summarising Data - 'Transforming Data into Information'; 4.1 Aims; 4.2 Why summarise?; 4.3 Summarising data numerically - descriptive statistics; 4.3.1 Measures of central location; 4.3.2 Measures of dispersion; 4.4 Summarising data graphically; 4.5 Graphs for summarising group data; 4.5.1 The bar graph; 4.5.2 The error plot; 4.5.3 The box-and-whisker plot; 4.5.4 Comparison of graphs for group data; 4.5.5 A little discussion on error bars; 4.6 Graphs for displaying relationships between variables; 4.6.1 The scatter diagram or plot 4.6.2 The line graph4.7 Displaying complex (multidimensional) data; 4.8 Displaying proportions or percentages; 4.8.1 The pie chart; 4.8.2 Tabulation; 4.9 Summary; References; 5 Statistical Power - '. . . Find out the Cause of this Effect'; 5.1 Aims; 5.2 Power; 5.3 From doormats to aortic valves; 5.4 More on the normal distribution; 5.4.1 The central limit theorem; 5.5 How is power useful?; 5.5.1 Calculating the power; 5.5.2 Calculating the sample size; 5.6 The problem with p values; 5.7 Confidence intervals and power; 5.8 When to stop collecting data 5.9 Likelihood versus null hypothesis testing5.10 Summary; References; 6 Comparing Groups using t-Tests and ANOVA - 'To Compare is not to Prove'; 6.1 Aims; 6.2 Are men taller than women?; 6.3 The central limit theorem revisited; 6.4 Student's t-test; 6.4.1 Calculation of the pooled standard deviation; 6.4.2 Calculation of the t statistic; 6.4.3 Tables and tails; 6.5 Assumptions of the t-test; 6.6 Dependent t-test; 6.7 What type of data can be tested using t-tests?; 6.8 Data transformations; 6.9 Proof is not the answer; 6.10 The problem of multiple testing 6.11 Comparing multiple means - the principles of analysis of variance |
Record Nr. | UNINA-9910816086703321 |
De Winter Patricia <1968->
![]() |
||
Somerset, : Wiley, 2014 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|