Design and analysis of experiments / Douglas C. Montgomery |
Autore | Montgomery, Douglas C. |
Edizione | [5th ed.] |
Pubbl/distr/stampa | New York [etc] : Wiley & Sons, 2001 |
Descrizione fisica | xii, 684 p. : ill. ; 26 cm |
Disciplina | 001.434 |
Soggetto topico | Experimental design |
ISBN | 0471316490 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISALENTO-991000774429707536 |
Montgomery, Douglas C.
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New York [etc] : Wiley & Sons, 2001 | ||
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Lo trovi qui: Univ. del Salento | ||
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Design and analysis of experiments . Volume 3 Special designs and applications [[electronic resource] /] / edited by Klaus Hinkelmann |
Pubbl/distr/stampa | Hoboken, NJ, : Wiley-Interscience, 2012 |
Descrizione fisica | 1 online resource (596 p.) |
Disciplina |
001.434
532 |
Altri autori (Persone) | HinkelmannKlaus <1932-> |
Collana | Wiley series in probability and statistics |
Soggetto topico |
Experimental design
Mathematical statistics |
ISBN |
1-283-40958-5
9786613409584 1-118-14764-2 1-118-14763-4 1-118-14766-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
1.9.1 Triallel or Three-Way Crosses1.9.2 Double- or Four-Way Crosses; 1.10 COMPUTATION; ACKNOWLEDGMENTS; REFERENCES; CHAPTER 2: Design of Gene Expression Microarray Experiments; 2.1 INTRODUCTION; 2.2 GENE EXPRESSION MICROARRAY TECHNOLOGY; 2.2.1 Introduction; 2.2.2 Definition of a Microarray; 2.2.3 Using Microarrays to Measure Gene Expression; 2.2.4 Types of Gene Expression in Microarrays; 2.3 PREPROCESSING OF MICROARRAY FLUORESCENCE INTENSITIES; 2.3.1 Introduction; 2.3.2 Background Correction; 2.3.3 Normalization; 2.3.4 Summarization
2.4 INTRODUCTION TO GENE EXPRESSION MICROARRAY EXPERIMENTAL DESIGN2.5 TWO-TREATMENT EXPERIMENTS USING TWO-COLOR MICROARRAYS; 2.6 TWO-COLOR MICROARRAY EXPERIMENTS INVOLVING MORE THAN TWO TREATMENTS; 2.7 MULTIFACTOR TWO-COLOR MICROARRAY EXPERIMENTS; 2.7.1 Introduction; 2.7.2 Admissible Designs; 2.7.3 w-Optimal Designs; 2.7.4 e-Efficiency; 2.8 PHASE 2 DESIGNS FOR COMPLEX PHASE 1 DESIGNS; REFERENCES; CHAPTER 3: Spatial Analysis of Agricultural Field Experiments; 3.1 INTRODUCTION; 3.2 METHODS TO ACCOUNT FOR SPATIAL VARIATION; 3.2.1 Design of Experiments; 3.2.2 Spatial Analysis Methods 3.3 A SPATIAL LINEAR MIXED MODEL3.3.1 Estimation, Prediction and Testing; 3.3.2 The Spatial Modeling Process; 3.4 ANALYSIS OF EXAMPLES; 3.4.1 Herbicide Tolerance Trial; 3.4.2 Variety Trial; REFERENCES; CHAPTER 4: Optimal Designs for Generalized Linear Models; 4.1 INTRODUCTION; 4.2 NOTATION AND BASIC CONCEPTS; 4.2.1 Binary Data; 4.2.2 Count Data; 4.2.3 Optimality Criteria; 4.3 TOOLS FOR FINDING LOCALLY OPTIMAL DESIGNS; 4.3.1 Traditional Approaches; 4.3.2 An Analytical Approach; 4.4 GLMs WITH TWO PARAMETERS; 4.5 GLMs WITH MULTIPLE PARAMETERS; 4.5.1 GLMs with Multiple Covariates 4.5.2 GLMs with Group Effects |
Record Nr. | UNINA-9910141163703321 |
Hoboken, NJ, : Wiley-Interscience, 2012 | ||
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Lo trovi qui: Univ. Federico II | ||
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Design and analysis of experiments in the health sciences [[electronic resource] /] / Gerald van Belle, Kathleen F. Kerr |
Autore | Van Belle Gerald |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Hoboken, N.J., : Wiley, 2012 |
Descrizione fisica | 1 online resource (247 p.) |
Disciplina | 610.72/7 |
Altri autori (Persone) | KerrKathleen F. <1970-> |
Soggetto topico |
Experimental design
Medical informatics Medical sciences - Statistical methods |
ISBN |
1-280-76813-4
9786613678904 1-118-27971-9 1-118-27972-7 1-118-27969-7 |
Classificazione | MAT029000 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Design and Analysis of Experiments in the Health Sciences; Contents; Preface; 1 The Basics; 1.1 Four Basic Questions; 1.2 Variation; 1.3 Principles of Design and Analysis; 1.4 Experiments and Observational Studies; 1.5 Illustrative Applications of Principles; 1.6 Experiments in the Health Sciences; 1.7 Adaptive Allocation; 1.7.1 Equidistribution; 1.7.2 Adaptive Allocation Techniques; 1.8 Sample Size Calculations; 1.9 Statistical Models for the Data; 1.10 Analysis and Presentation; 1.10.1 Graph the Data in Several Ways; 1.10.2 Assess Assumptions of the Statistical Model
1.10.3 Confirmatory and Exploratory Analysis1.10.4 Missing Data Need Careful Accounting; 1.10.5 Statistical Software; 1.11 Notes; 1.11.1 Characterization Studies; 1.11.2 Additional Comments on Balance; 1.11.3 Linear and Nonlinear Models; 1.11.4 Analysis of Variance Versus Regression Analysis; 1.12 Summary; 1.13 Problems; 2 Completely Randomized Designs; 2.1 Randomization; 2.2 Hypotheses and Sample Size; 2.3 Estimation and Analysis; 2.4 Example; 2.5 Discussion and Extensions; 2.5.1 Preparing Data for Computer Analysis; 2.5.2 Treatment Assignment in this Example; 2.5.3 Check on Randomization 2.5.4 Partitioning the Treatment Sum of Squares2.5.5 Alternative Endpoints; 2.5.6 Dummy Variables; 2.5.7 Contrasts; 2.6 Randomization; 2.7 Hypotheses and Sample Size; 2.8 Estimation and Analysis; 2.9 Example; 2.10 Discussion and Extensions; 2.10.1 Two Roles for ANCOVA; 2.10.2 Partitioning of Sums of Squares; 2.10.3 Assumption of Parallelism; 2.11 Notes; 2.11.1 Constrained Randomization; 2.11.2 Assumptions of the Analysis of Variance and Covariance; 2.11.3 When the Assumptions Don't Hold; 2.11.4 Alternative Graphical Displays; 2.11.5 Sample Sizes for More Than Two Levels 2.11.6 Limitations of Computer Output2.11.7 Unequal Sample Sizes; 2.11.8 Design Implications of the CRD; 2.11.9 Power and Alternative Hypotheses; 2.11.10 Regression or Analysis of Variance?; 2.11.11 Bioassay; 2.12 Summary; 2.13 Problems; 3 Randomized Block Designs; 3.1 Randomization; 3.2 Hypotheses and Sample Size; 3.3 Estimation and Analysis; 3.4 Example; 3.5 Discussion and Extensions; 3.5.1 Evaluating Model Assumptions; 3.5.2 Multiple Comparisons; 3.5.3 Number of Treatments and Block Size; 3.5.4 Missing Data; 3.5.5 Does It Always Pay to Block?; 3.5.6 Concomitant Variables; 3.5.7 Imbalance 3.6 Randomization3.7 Hypotheses and Sample Size; 3.8 Estimation and Analysis; 3.9 Example; 3.10 Discussion and Extensions; 3.10.1 Implications of the Model; 3.10.2 Number of Latin Squares; 3.11 Randomization; 3.12 Hypotheses and Sample Size; 3.13 Estimation and Analysis; 3.14 Example; 3.15 Discussion and Extensions; 3.15.1 Partially Balanced Incomplete Block Designs; 3.16 Notes; 3.16.1 Analysis Follows Design; 3.16.2 Relative Efficiency; 3.16.3 Additivity of the Model; 3.17 Summary; 3.18 Problems; 4 Factorial Designs; 4.1 Randomization; 4.2 Hypotheses and Sample Size 4.3 Estimation and Analysis |
Record Nr. | UNINA-9910141261903321 |
Van Belle Gerald
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Hoboken, N.J., : Wiley, 2012 | ||
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Lo trovi qui: Univ. Federico II | ||
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Design and analysis of experiments in the health sciences [[electronic resource] /] / Gerald van Belle, Kathleen F. Kerr |
Autore | Van Belle Gerald |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Hoboken, N.J., : Wiley, 2012 |
Descrizione fisica | 1 online resource (247 p.) |
Disciplina | 610.72/7 |
Altri autori (Persone) | KerrKathleen F. <1970-> |
Soggetto topico |
Experimental design
Medical informatics Medical sciences - Statistical methods |
ISBN |
1-280-76813-4
9786613678904 1-118-27971-9 1-118-27972-7 1-118-27969-7 |
Classificazione | MAT029000 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Design and Analysis of Experiments in the Health Sciences; Contents; Preface; 1 The Basics; 1.1 Four Basic Questions; 1.2 Variation; 1.3 Principles of Design and Analysis; 1.4 Experiments and Observational Studies; 1.5 Illustrative Applications of Principles; 1.6 Experiments in the Health Sciences; 1.7 Adaptive Allocation; 1.7.1 Equidistribution; 1.7.2 Adaptive Allocation Techniques; 1.8 Sample Size Calculations; 1.9 Statistical Models for the Data; 1.10 Analysis and Presentation; 1.10.1 Graph the Data in Several Ways; 1.10.2 Assess Assumptions of the Statistical Model
1.10.3 Confirmatory and Exploratory Analysis1.10.4 Missing Data Need Careful Accounting; 1.10.5 Statistical Software; 1.11 Notes; 1.11.1 Characterization Studies; 1.11.2 Additional Comments on Balance; 1.11.3 Linear and Nonlinear Models; 1.11.4 Analysis of Variance Versus Regression Analysis; 1.12 Summary; 1.13 Problems; 2 Completely Randomized Designs; 2.1 Randomization; 2.2 Hypotheses and Sample Size; 2.3 Estimation and Analysis; 2.4 Example; 2.5 Discussion and Extensions; 2.5.1 Preparing Data for Computer Analysis; 2.5.2 Treatment Assignment in this Example; 2.5.3 Check on Randomization 2.5.4 Partitioning the Treatment Sum of Squares2.5.5 Alternative Endpoints; 2.5.6 Dummy Variables; 2.5.7 Contrasts; 2.6 Randomization; 2.7 Hypotheses and Sample Size; 2.8 Estimation and Analysis; 2.9 Example; 2.10 Discussion and Extensions; 2.10.1 Two Roles for ANCOVA; 2.10.2 Partitioning of Sums of Squares; 2.10.3 Assumption of Parallelism; 2.11 Notes; 2.11.1 Constrained Randomization; 2.11.2 Assumptions of the Analysis of Variance and Covariance; 2.11.3 When the Assumptions Don't Hold; 2.11.4 Alternative Graphical Displays; 2.11.5 Sample Sizes for More Than Two Levels 2.11.6 Limitations of Computer Output2.11.7 Unequal Sample Sizes; 2.11.8 Design Implications of the CRD; 2.11.9 Power and Alternative Hypotheses; 2.11.10 Regression or Analysis of Variance?; 2.11.11 Bioassay; 2.12 Summary; 2.13 Problems; 3 Randomized Block Designs; 3.1 Randomization; 3.2 Hypotheses and Sample Size; 3.3 Estimation and Analysis; 3.4 Example; 3.5 Discussion and Extensions; 3.5.1 Evaluating Model Assumptions; 3.5.2 Multiple Comparisons; 3.5.3 Number of Treatments and Block Size; 3.5.4 Missing Data; 3.5.5 Does It Always Pay to Block?; 3.5.6 Concomitant Variables; 3.5.7 Imbalance 3.6 Randomization3.7 Hypotheses and Sample Size; 3.8 Estimation and Analysis; 3.9 Example; 3.10 Discussion and Extensions; 3.10.1 Implications of the Model; 3.10.2 Number of Latin Squares; 3.11 Randomization; 3.12 Hypotheses and Sample Size; 3.13 Estimation and Analysis; 3.14 Example; 3.15 Discussion and Extensions; 3.15.1 Partially Balanced Incomplete Block Designs; 3.16 Notes; 3.16.1 Analysis Follows Design; 3.16.2 Relative Efficiency; 3.16.3 Additivity of the Model; 3.17 Summary; 3.18 Problems; 4 Factorial Designs; 4.1 Randomization; 4.2 Hypotheses and Sample Size 4.3 Estimation and Analysis |
Record Nr. | UNINA-9910807326303321 |
Van Belle Gerald
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Hoboken, N.J., : Wiley, 2012 | ||
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Lo trovi qui: Univ. Federico II | ||
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Design and analysis of experiments with SAS / / by John Lawson |
Autore | Lawson John <1947-> |
Edizione | [First edition.] |
Pubbl/distr/stampa | Boca Raton, FL : , : Chapman and Hall/CRC, an imprint of Taylor and Francis, , 2010 |
Descrizione fisica | 1 online resource (593 p.) |
Disciplina | 519.5/7 |
Collana | Chapman & Hall/CRC texts in Statistical Science Series |
Soggetto topico | Experimental design |
Soggetto genere / forma | Electronic books. |
ISBN |
0-429-18480-8
1-4398-8274-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title; Copyright; Contents; Preface; CHAPTER 1: Introduction; CHAPTER 2: Completely Randomized Designs with One Factor; CHAPTER 3: Factorial Designs; CHAPTER 4: Randomized Block Designs; CHAPTER 5: Designs to Study Variances; CHAPTER 6: Fractional Factorial Designs; CHAPTER 7: Incomplete and Confounded Block Designs; CHAPTER 8: Split-Plot Designs; CHAPTER 9: Crossover and Repeated Measures Designs; CHAPTER 10: Response Surface Designs; CHAPTER 11: Mixture Experiments; CHAPTER 12: Robust Parameter Design Experiments; CHAPTER 13: Experimental Strategies for Increasing Knowledge
Bibliography |
Record Nr. | UNINA-9910460736803321 |
Lawson John <1947->
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Boca Raton, FL : , : Chapman and Hall/CRC, an imprint of Taylor and Francis, , 2010 | ||
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Lo trovi qui: Univ. Federico II | ||
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Design and analysis of experiments with SAS / / by John Lawson |
Autore | Lawson John <1947-> |
Edizione | [First edition.] |
Pubbl/distr/stampa | Boca Raton, FL : , : Chapman and Hall/CRC, an imprint of Taylor and Francis, , 2010 |
Descrizione fisica | 1 online resource (593 p.) |
Disciplina | 519.5/7 |
Collana | Chapman & Hall/CRC texts in Statistical Science Series |
Soggetto topico | Experimental design |
ISBN |
0-429-18480-8
1-4398-8274-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title; Copyright; Contents; Preface; CHAPTER 1: Introduction; CHAPTER 2: Completely Randomized Designs with One Factor; CHAPTER 3: Factorial Designs; CHAPTER 4: Randomized Block Designs; CHAPTER 5: Designs to Study Variances; CHAPTER 6: Fractional Factorial Designs; CHAPTER 7: Incomplete and Confounded Block Designs; CHAPTER 8: Split-Plot Designs; CHAPTER 9: Crossover and Repeated Measures Designs; CHAPTER 10: Response Surface Designs; CHAPTER 11: Mixture Experiments; CHAPTER 12: Robust Parameter Design Experiments; CHAPTER 13: Experimental Strategies for Increasing Knowledge
Bibliography |
Record Nr. | UNINA-9910797026303321 |
Lawson John <1947->
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Boca Raton, FL : , : Chapman and Hall/CRC, an imprint of Taylor and Francis, , 2010 | ||
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Lo trovi qui: Univ. Federico II | ||
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Design and analysis of experiments with SAS / / by John Lawson |
Autore | Lawson John <1947-> |
Edizione | [First edition.] |
Pubbl/distr/stampa | Boca Raton, FL : , : Chapman and Hall/CRC, an imprint of Taylor and Francis, , 2010 |
Descrizione fisica | 1 online resource (593 p.) |
Disciplina | 519.5/7 |
Collana | Chapman & Hall/CRC texts in Statistical Science Series |
Soggetto topico | Experimental design |
ISBN |
0-429-18480-8
1-4398-8274-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title; Copyright; Contents; Preface; CHAPTER 1: Introduction; CHAPTER 2: Completely Randomized Designs with One Factor; CHAPTER 3: Factorial Designs; CHAPTER 4: Randomized Block Designs; CHAPTER 5: Designs to Study Variances; CHAPTER 6: Fractional Factorial Designs; CHAPTER 7: Incomplete and Confounded Block Designs; CHAPTER 8: Split-Plot Designs; CHAPTER 9: Crossover and Repeated Measures Designs; CHAPTER 10: Response Surface Designs; CHAPTER 11: Mixture Experiments; CHAPTER 12: Robust Parameter Design Experiments; CHAPTER 13: Experimental Strategies for Increasing Knowledge
Bibliography |
Record Nr. | UNINA-9910813136003321 |
Lawson John <1947->
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Boca Raton, FL : , : Chapman and Hall/CRC, an imprint of Taylor and Francis, , 2010 | ||
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Lo trovi qui: Univ. Federico II | ||
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The design and conduct of meaningful experiments involving human participants : 25 scientific principles / / R. Barker Bausell |
Autore | Bausell R. Barker <1942-> |
Pubbl/distr/stampa | New York, New York : , : Oxford University Press, , 2015 |
Descrizione fisica | 1 online resource (353 p.) |
Disciplina | 174.2/8 |
Soggetto topico |
Human experimentation in medicine
Human experimentation in psychology Experimental design Research - Methodology |
Soggetto genere / forma | Electronic books. |
ISBN |
0-19-938525-4
0-19-938524-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; The Design and Conduct of Meaningful Experiments Involving Human Participants; Copyright; Contents; Acknowledgments; Introduction; Part I Introduction To The Experimental Process; 1. Conducting Meaningful Experiments: Prerequisites and Purposes; 2. Causal Inferences and the Strange (but Fictitious) Case of Mrs. Smith; 3. Introduction to the Design of Meaningful Experiments via the Continuing Adventures of Dr. Jones
4. Why Poorly Designed Experiments Are Inadequate for Making Complex Inferences: The Single-Group Pretest-Posttest Design (or the Unfortunate Conclusion of Dr. Jones's Foray into the World of Science)Part II Experimental Designs For Research Involving Humans; 5. Enter the Control Group and a Deus ex Machina; 6. The Design of Single-Factor, Between-Subjects Experiments; 7. Factorial Designs; 8. Repeated Measures, Within-Subjects, and Longitudinal Designs; Part III Maximizing And Implementing Experimental Design; 9. Ensuring Sufficient Statistical Power; 10. Conducting an Experiment Part IV Other EXPERIMENTAL Issues, Designs, And Paradigms11. External Validity (Generalizability); 12. Three Additional Experimental Paradigms: Single-Case, Program Evaluation (Including Natural Experiments), and Quality Improvement Research; 13. Experimental Bias; 14. Epilogue and Review; Author Index; Subject Index |
Record Nr. | UNINA-9910459812903321 |
Bausell R. Barker <1942->
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New York, New York : , : Oxford University Press, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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The design and conduct of meaningful experiments involving human participants : 25 scientific principles / / R. Barker Bausell |
Autore | Bausell R. Barker <1942-> |
Pubbl/distr/stampa | New York, New York : , : Oxford University Press, , 2015 |
Descrizione fisica | 1 online resource (353 p.) |
Disciplina | 174.2/8 |
Soggetto topico |
Human experimentation in medicine
Human experimentation in psychology Experimental design Research - Methodology |
ISBN |
0-19-938525-4
0-19-938524-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; The Design and Conduct of Meaningful Experiments Involving Human Participants; Copyright; Contents; Acknowledgments; Introduction; Part I Introduction To The Experimental Process; 1. Conducting Meaningful Experiments: Prerequisites and Purposes; 2. Causal Inferences and the Strange (but Fictitious) Case of Mrs. Smith; 3. Introduction to the Design of Meaningful Experiments via the Continuing Adventures of Dr. Jones
4. Why Poorly Designed Experiments Are Inadequate for Making Complex Inferences: The Single-Group Pretest-Posttest Design (or the Unfortunate Conclusion of Dr. Jones's Foray into the World of Science)Part II Experimental Designs For Research Involving Humans; 5. Enter the Control Group and a Deus ex Machina; 6. The Design of Single-Factor, Between-Subjects Experiments; 7. Factorial Designs; 8. Repeated Measures, Within-Subjects, and Longitudinal Designs; Part III Maximizing And Implementing Experimental Design; 9. Ensuring Sufficient Statistical Power; 10. Conducting an Experiment Part IV Other EXPERIMENTAL Issues, Designs, And Paradigms11. External Validity (Generalizability); 12. Three Additional Experimental Paradigms: Single-Case, Program Evaluation (Including Natural Experiments), and Quality Improvement Research; 13. Experimental Bias; 14. Epilogue and Review; Author Index; Subject Index |
Record Nr. | UNINA-9910787239703321 |
Bausell R. Barker <1942->
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New York, New York : , : Oxford University Press, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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The design and conduct of meaningful experiments involving human participants : 25 scientific principles / / R. Barker Bausell |
Autore | Bausell R. Barker <1942-> |
Pubbl/distr/stampa | New York, New York : , : Oxford University Press, , 2015 |
Descrizione fisica | 1 online resource (353 p.) |
Disciplina | 174.2/8 |
Soggetto topico |
Human experimentation in medicine
Human experimentation in psychology Experimental design Research - Methodology |
ISBN |
0-19-938525-4
0-19-938524-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; The Design and Conduct of Meaningful Experiments Involving Human Participants; Copyright; Contents; Acknowledgments; Introduction; Part I Introduction To The Experimental Process; 1. Conducting Meaningful Experiments: Prerequisites and Purposes; 2. Causal Inferences and the Strange (but Fictitious) Case of Mrs. Smith; 3. Introduction to the Design of Meaningful Experiments via the Continuing Adventures of Dr. Jones
4. Why Poorly Designed Experiments Are Inadequate for Making Complex Inferences: The Single-Group Pretest-Posttest Design (or the Unfortunate Conclusion of Dr. Jones's Foray into the World of Science)Part II Experimental Designs For Research Involving Humans; 5. Enter the Control Group and a Deus ex Machina; 6. The Design of Single-Factor, Between-Subjects Experiments; 7. Factorial Designs; 8. Repeated Measures, Within-Subjects, and Longitudinal Designs; Part III Maximizing And Implementing Experimental Design; 9. Ensuring Sufficient Statistical Power; 10. Conducting an Experiment Part IV Other EXPERIMENTAL Issues, Designs, And Paradigms11. External Validity (Generalizability); 12. Three Additional Experimental Paradigms: Single-Case, Program Evaluation (Including Natural Experiments), and Quality Improvement Research; 13. Experimental Bias; 14. Epilogue and Review; Author Index; Subject Index |
Record Nr. | UNINA-9910814271203321 |
Bausell R. Barker <1942->
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New York, New York : , : Oxford University Press, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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