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1. |
Record Nr. |
UNINA9910967287603321 |
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Autore |
Page Susan (Susan Ann) |
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Titolo |
The power of business process improvement : 10 simple steps to increase effectiveness, efficiency, and adaptability / / Susan Page |
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Pubbl/distr/stampa |
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New York, : AMACOM, c2010 |
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ISBN |
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9786612492716 |
9781613448335 |
1613448333 |
9781282492714 |
1282492713 |
9780814414798 |
0814414796 |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (353 p.) |
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Disciplina |
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Soggetti |
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Workflow - Management |
Organizational effectiveness |
Management |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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CONTENTS; CHAPTER 1: The Roadmap: Learning How to Navigate; CHAPTER 2: Step 1: Develop the Process Inventory: Identifying and Prioritizing the Process List; CHAPTER 3: Step 2: Establish the Foundation: Avoiding Scope Creep; CHAPTER 4: Step 3: Draw the Process Map: Flowcharting and Documenting; CHAPTER 5: Steps 4-5: Estimate Time and Cost and Verify the Process Map: Introducing the Process and Cycle Time and Gaining Buy-In; CHAPTER 6: Step 6: Apply Improvement Techniques: Challenging Everything; CHAPTER 7: Step 7: Create Internal Controls, Tools, and Metrics: Making It Real |
CHAPTER 8: Step 8: Test and Rework: Making Sure It Works CHAPTER 9: Step 9: Implement the Change: Preparing the Organization; CHAPTER 10: Step 10: Drive Continuous Improvement: Embracing the New Mindset; CHAPTER 11: Create the Executive Summary: Getting the Recognition; CHAPTER 12: Case Study: Sharing a Real-World Example; INDEX |
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Sommario/riassunto |
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"A good process eliminates wasted time." - Bill Gates |
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2. |
Record Nr. |
UNINA9911019381103321 |
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Autore |
Lui Kung-Jong |
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Titolo |
Statistical estimation of epidemiological risk / / Kung-Jong Lui |
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Pubbl/distr/stampa |
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Chichester ; ; Hoboken, NJ, : Wiley, c2004 |
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ISBN |
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9786610269549 |
9781280269547 |
1280269545 |
9780470094075 |
0470094079 |
9780470094082 |
0470094087 |
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Descrizione fisica |
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1 online resource (213 p.) |
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Collana |
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Disciplina |
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Soggetti |
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Epidemiology - Statistical methods |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Statistical Estimation of Epidemiological Risk; Contents; About the author; Preface; 1 Population Proportion or Prevalence; 1.1 Binomial sampling; 1.2 Cluster sampling; 1.3 Inverse sampling; Exercises; References; 2 Risk Difference; 2.1 Independent binomial sampling; 2.2 A series of independent binomial sampling procedures; 2.2.1 Summary interval estimators; 2.2.2 Test for the homogeneity of risk difference; 2.3 Independent cluster sampling; 2.4 Paired-sample data; 2.5 Independent negative binomial sampling (inverse sampling); 2.6 Independent poisson sampling; 2.7 Stratified poisson sampling |
ExercisesReferences; 3 Relative Difference; 3.1 Independent binomial sampling; 3.2 A series of independent binomial sampling procedures; 3.2.1 Asymptotic interval estimators; 3.2.2 Test for the homogeneity of relative difference; 3.3 Independent cluster sampling; 3.4 Paired-sample data; 3.5 Independent inverse sampling; Exercises; References; 4 Relative Risk; 4.1 Independent binomial sampling; 4.2 A series of |
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independent binomial sampling procedures; 4.2.1 Asymptotic interval estimators; 4.2.2 Test for the homogeneity of risk ratio; 4.3 Independent cluster sampling; 4.4 Paired-sample data |
4.5 Independent inverse sampling4.5.1 Uniformly minimum variance unbiased estimator of relative risk; 4.5.2 Interval estimators of relative risk; 4.6 Independent poisson sampling; 4.7 Stratified poisson sampling; Exercises; References; 5 Odds Ratio; 5.1 Independent binomial sampling; 5.1.1 Asymptotic interval estimators; 5.1.2 Exact confidence interval; 5.2 A series of independent binomial sampling procedures; 5.2.1 Asymptotic interval estimators; 5.2.2 Exact confidence interval; 5.2.3 Test for homogeneity of the odds ratio; 5.3 Independent cluster sampling; 5.4 One-to-one matched sampling |
5.5 Logistic modeling5.5.1 Estimation under multinomial or independent binomial sampling; 5.5.2 Estimation in the case of paired-sample data; 5.6 Independent inverse sampling; 5.7 Negative multinomial sampling for paired-sample data; Exercises; References; 6 Generalized Odds Ratio; 6.1 Independent multinomial sampling; 6.2 Data with repeated measurements (or under cluster sampling); 6.3 Paired-sample data; 6.4 Mixed negative multinomial and multinomial sampling; Exercises; References; 7 Attributable Risk; 7.1 Study designs with no confounders; 7.1.1 Cross-sectional sampling |
7.1.2 Case-control studies7.2 Study designs with confounders; 7.2.1 Cross-sectional sampling; 7.2.2 Case-control studies; 7.3 Case-control studies with matched pairs; 7.4 Multiple levels of exposure in case-control studies; 7.5 Logistic modeling in case-control studies; 7.5.1 Logistic model containing only the exposure variables of interest; 7.5.2 Logistic regression model containing both exposure and confounding variables; 7.6 Case-control studies under inverse sampling; Exercises; References; 8 Number Needed to Treat; 8.1 Independent binomial sampling |
8.2 A series of independent binomial sampling procedures |
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Sommario/riassunto |
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Statistical Estimation of Epidemiological Risk provides coverage of the most important epidemiological indices, and includes recent developments in the field. A useful reference source for biostatisticians and epidemiologists working in disease prevention, as the chapters are self-contained and feature numerous real examples. It has been written at a level suitable for public health professionals with a limited knowledge of statistics. Other key features include:Provides comprehensive coverage of the key epidemiological indices.Includes coverage of various sampling methods |
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