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Refinement of the HCUP quality indicators
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Research activities
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Research activities
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Safety in Health
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]-
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Safety in Health
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]-
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Safety of probiotics to reduce risk and prevent or treat disease
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Shared governance : a practical approach to transforming interprofessional healthcare
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Starting out in Statistics [[electronic resource] ] : An Introduction for Students of Human Health, Disease, and Psychology
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Starting out in Statistics [[electronic resource] ] : An Introduction for Students of Human Health, Disease, and Psychology
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Starting out in Statistics [[electronic resource] ] : An Introduction for Students of Human Health, Disease, and Psychology
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui