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Evidence matters [[electronic resource] ] : randomized trials in education research / / Frederick Mosteller, Robert Boruch, editors
Evidence matters [[electronic resource] ] : randomized trials in education research / / Frederick Mosteller, Robert Boruch, editors
Pubbl/distr/stampa Washington, D.C., : Brookings Institution Press, c2002
Descrizione fisica 1 online resource (239 p.)
Disciplina 370/.7/2
Altri autori (Persone) MostellerFrederick <1916-2006.>
BoruchRobert F
Soggetto topico Education - Research
Soggetto genere / forma Electronic books.
ISBN 0-8157-9818-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Overview and new directions / Robert Boruch and Frederick Mosteller -- The politics of random assignment : implementing studies and affecting policy / Judith M. Gueron -- The importance of randomized field trials in education and related areas / Robert Boruch, Dorothy de Moya, and Brooke Snyder -- Resources, instruction, and research / David K. Cohen, Stephen W. Raudenbush, and Deborah Loewenberg Ball -- Missing in practice? Development and evaluation at the U.S. Department of Education / Maris A. Vinovskis -- Objecting to the objections to using random assignment in educational research / Thomas D. Cook and Monique R. Payne -- Randomized field trials for policy evaluation : why not in education? / Gary Burtless -- What to do until the random assigner comes / Carol H. Weiss.
Record Nr. UNINA-9910455858203321
Washington, D.C., : Brookings Institution Press, c2002
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Evidence matters [[electronic resource] ] : randomized trials in education research / / Frederick Mosteller, Robert Boruch, editors
Evidence matters [[electronic resource] ] : randomized trials in education research / / Frederick Mosteller, Robert Boruch, editors
Pubbl/distr/stampa Washington, D.C., : Brookings Institution Press, c2002
Descrizione fisica 1 online resource (239 p.)
Disciplina 370/.7/2
Altri autori (Persone) MostellerFrederick <1916-2006.>
BoruchRobert F
Soggetto topico Education - Research
ISBN 0-8157-9818-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Overview and new directions / Robert Boruch and Frederick Mosteller -- The politics of random assignment : implementing studies and affecting policy / Judith M. Gueron -- The importance of randomized field trials in education and related areas / Robert Boruch, Dorothy de Moya, and Brooke Snyder -- Resources, instruction, and research / David K. Cohen, Stephen W. Raudenbush, and Deborah Loewenberg Ball -- Missing in practice? Development and evaluation at the U.S. Department of Education / Maris A. Vinovskis -- Objecting to the objections to using random assignment in educational research / Thomas D. Cook and Monique R. Payne -- Randomized field trials for policy evaluation : why not in education? / Gary Burtless -- What to do until the random assigner comes / Carol H. Weiss.
Record Nr. UNINA-9910780228303321
Washington, D.C., : Brookings Institution Press, c2002
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Evidence matters [[electronic resource] ] : randomized trials in education research / / Frederick Mosteller, Robert Boruch, editors
Evidence matters [[electronic resource] ] : randomized trials in education research / / Frederick Mosteller, Robert Boruch, editors
Edizione [1st ed.]
Pubbl/distr/stampa Washington, D.C., : Brookings Institution Press, c2002
Descrizione fisica 1 online resource (239 p.)
Disciplina 370/.7/2
Altri autori (Persone) MostellerFrederick <1916-2006.>
BoruchRobert F
Soggetto topico Education - Research
ISBN 0-8157-9818-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Overview and new directions / Robert Boruch and Frederick Mosteller -- The politics of random assignment : implementing studies and affecting policy / Judith M. Gueron -- The importance of randomized field trials in education and related areas / Robert Boruch, Dorothy de Moya, and Brooke Snyder -- Resources, instruction, and research / David K. Cohen, Stephen W. Raudenbush, and Deborah Loewenberg Ball -- Missing in practice? Development and evaluation at the U.S. Department of Education / Maris A. Vinovskis -- Objecting to the objections to using random assignment in educational research / Thomas D. Cook and Monique R. Payne -- Randomized field trials for policy evaluation : why not in education? / Gary Burtless -- What to do until the random assigner comes / Carol H. Weiss.
Record Nr. UNINA-9910811664703321
Washington, D.C., : Brookings Institution Press, c2002
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Exploring data tables, trends, and shapes [[electronic resource] /] / edited by David C. Hoaglin, Frederick Mosteller, John W. Tukey
Exploring data tables, trends, and shapes [[electronic resource] /] / edited by David C. Hoaglin, Frederick Mosteller, John W. Tukey
Edizione [1st ed.]
Pubbl/distr/stampa Hoboken, N.J., : Wiley-Interscience, 2006
Descrizione fisica 1 online resource (564 p.)
Disciplina 519.5
Altri autori (Persone) HoaglinDavid C <1944-> (David Caster)
MostellerFrederick <1916-2006.>
TukeyJohn W <1915-2000.> (John Wilder)
Collana Wiley series in probability and statistics
Soggetto topico Mathematical statistics
Soggetto genere / forma Electronic books.
ISBN 1-283-33238-8
9786613332387
1-118-15070-8
1-118-15069-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Exploring Data Tables, Trends, and Shapes; Contents; 1. THEORIES OF DATA ANALYSIS: FROM MAGICAL THINKING THROUGH CLASSICAL STATISTICS; 1A. Intuitive Statistics-Some Inferential Problems; 1B. Multiplicity-A Pervasive Problem; 1C. Some Remedies; 1D. Theories for Data Analysis; 1E. Uses for Mathematics; 1F. In Defense of Controlled Magical Thinking; 2. FITTING BY ORGANIZED COMPARISONS: THE SQUARE COMBINING TABLE; 2A. Combining Comparisons; 2B. Two-Way Tables; 2C. Paired Comparisons; 2D. Analyzing Tables Containing Holes; 2E. Summary; Exercises; 3. RESISTANT NONADDITIVE FITS FOR TWO-WAY TABLES
3A. The Simple Additive Model and Median Polish3B. One Step Beyond an Additive Fit; 3C. Assessing and Comparing Fits; 3D. Multiplicative Fits; 3E. Techniques for Obtaining Simple Multiplicative Fits; 3F. Additive-Plus-Multiplicative Fits; 3G. Some Background for Nonadditive Fits; 3H. Summary; Exercises; 4. THREE-WAY ANALYSES; 4A. Structure of the Three-Way Table; 4B. Decompositions and Models for Three-Way Analysis; 4C. Median-Polish Analysis for the Main-Effects-Only Case; 4D. Nonadditivity and a Diagnostic Plot in Main-Effects-Only Analysis; 4E. Analysis Using Means
4F. Median-Polish Analysis for the Full-Effects Case4G. Diagnostic Plots for the Full-Effects Case; 4H. Fitting the Full-Effects Model by Means; 4I. Computation, Other Polishes, and Missing Values; 4J. Summary; Exercises; 5. IDENTIFYING EXTREME CELLS IN A SIZABLE CONTINGENCY TABLE: PROBABILISTIC AND EXPLORATORY APPROACHES; 5A. The Hypergeometric Distribution; 5B. Assessing Outliers; 5C. The Simulation Approach; 5D. Applying the Simulation Approach to the Table of Archaeological Data; 5E. An Exploratory Approach, Based on Deviations from Independence; 5F. A Logarithmic Exploratory Approach
5G. Illustrations of the New Standardization5H. Summary; 5I. Conclusion; 6. FITTING STRAIGHT LINES BY EYE; 6A. Method; 6B. Results; 6C. Summary; 7. RESISTANT MULTIPLE REGRESSION, ONE VARIABLE AT A TIME; 7A. Resistant Lines; 7B. Sweeping Out; 7C. Example; 7D. When Carriers Come in Blocks; 7E. Summary; Exercises; 8. ROBUST REGRESSION; 8A. Why Robust Regression?; 8B. M-Estimators and W-Estimators for Regression; 8C. Computation; 8D. Example: The Stack Loss Data; 8E. Bounded-Influence Regression; 8F. Some Alternative Methods; 8G. Summary; Exercises; 9. CHECKING THE SHAPE OF DISCRETE DISTRIBUTIONS
9A. A Poissonness Plot9B. Confidence Intervals for the Count Metameter; 9C. When Is a Point Discrepant?; 9D. Overall Plots for Other Families of Distributions; 9E. Frequency-Ratio Alternatives; 9F. Cooperative Diversity; 9G. Double-Root Residuals; 9H. Summary; Exercises; 10. USING QUANTILES TO STUDY SHAPE; 10A. Diagnosing Skewness; 10B. Diagnosing Elongation; 10C. Quantile-Quantile Plots; 10D. Plots for Skewness and Elongation; 10E. Pushback Analysis; 10F. Summary; 10G. Appendix; Exercises; 11. SUMMARIZING SHAPE NUMERICALLY: THE g-AND-h DISTRIBUTIONS; 11A. Skewness; 11B. Elongation
11C. Combining Skewness and Elongation
Record Nr. UNINA-9910139565203321
Hoboken, N.J., : Wiley-Interscience, 2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Exploring data tables, trends, and shapes [[electronic resource] /] / edited by David C. Hoaglin, Frederick Mosteller, John W. Tukey
Exploring data tables, trends, and shapes [[electronic resource] /] / edited by David C. Hoaglin, Frederick Mosteller, John W. Tukey
Edizione [1st ed.]
Pubbl/distr/stampa Hoboken, N.J., : Wiley-Interscience, 2006
Descrizione fisica 1 online resource (564 p.)
Disciplina 519.5
Altri autori (Persone) HoaglinDavid C <1944-> (David Caster)
MostellerFrederick <1916-2006.>
TukeyJohn W <1915-2000.> (John Wilder)
Collana Wiley series in probability and statistics
Soggetto topico Mathematical statistics
ISBN 1-283-33238-8
9786613332387
1-118-15070-8
1-118-15069-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Exploring Data Tables, Trends, and Shapes; Contents; 1. THEORIES OF DATA ANALYSIS: FROM MAGICAL THINKING THROUGH CLASSICAL STATISTICS; 1A. Intuitive Statistics-Some Inferential Problems; 1B. Multiplicity-A Pervasive Problem; 1C. Some Remedies; 1D. Theories for Data Analysis; 1E. Uses for Mathematics; 1F. In Defense of Controlled Magical Thinking; 2. FITTING BY ORGANIZED COMPARISONS: THE SQUARE COMBINING TABLE; 2A. Combining Comparisons; 2B. Two-Way Tables; 2C. Paired Comparisons; 2D. Analyzing Tables Containing Holes; 2E. Summary; Exercises; 3. RESISTANT NONADDITIVE FITS FOR TWO-WAY TABLES
3A. The Simple Additive Model and Median Polish3B. One Step Beyond an Additive Fit; 3C. Assessing and Comparing Fits; 3D. Multiplicative Fits; 3E. Techniques for Obtaining Simple Multiplicative Fits; 3F. Additive-Plus-Multiplicative Fits; 3G. Some Background for Nonadditive Fits; 3H. Summary; Exercises; 4. THREE-WAY ANALYSES; 4A. Structure of the Three-Way Table; 4B. Decompositions and Models for Three-Way Analysis; 4C. Median-Polish Analysis for the Main-Effects-Only Case; 4D. Nonadditivity and a Diagnostic Plot in Main-Effects-Only Analysis; 4E. Analysis Using Means
4F. Median-Polish Analysis for the Full-Effects Case4G. Diagnostic Plots for the Full-Effects Case; 4H. Fitting the Full-Effects Model by Means; 4I. Computation, Other Polishes, and Missing Values; 4J. Summary; Exercises; 5. IDENTIFYING EXTREME CELLS IN A SIZABLE CONTINGENCY TABLE: PROBABILISTIC AND EXPLORATORY APPROACHES; 5A. The Hypergeometric Distribution; 5B. Assessing Outliers; 5C. The Simulation Approach; 5D. Applying the Simulation Approach to the Table of Archaeological Data; 5E. An Exploratory Approach, Based on Deviations from Independence; 5F. A Logarithmic Exploratory Approach
5G. Illustrations of the New Standardization5H. Summary; 5I. Conclusion; 6. FITTING STRAIGHT LINES BY EYE; 6A. Method; 6B. Results; 6C. Summary; 7. RESISTANT MULTIPLE REGRESSION, ONE VARIABLE AT A TIME; 7A. Resistant Lines; 7B. Sweeping Out; 7C. Example; 7D. When Carriers Come in Blocks; 7E. Summary; Exercises; 8. ROBUST REGRESSION; 8A. Why Robust Regression?; 8B. M-Estimators and W-Estimators for Regression; 8C. Computation; 8D. Example: The Stack Loss Data; 8E. Bounded-Influence Regression; 8F. Some Alternative Methods; 8G. Summary; Exercises; 9. CHECKING THE SHAPE OF DISCRETE DISTRIBUTIONS
9A. A Poissonness Plot9B. Confidence Intervals for the Count Metameter; 9C. When Is a Point Discrepant?; 9D. Overall Plots for Other Families of Distributions; 9E. Frequency-Ratio Alternatives; 9F. Cooperative Diversity; 9G. Double-Root Residuals; 9H. Summary; Exercises; 10. USING QUANTILES TO STUDY SHAPE; 10A. Diagnosing Skewness; 10B. Diagnosing Elongation; 10C. Quantile-Quantile Plots; 10D. Plots for Skewness and Elongation; 10E. Pushback Analysis; 10F. Summary; 10G. Appendix; Exercises; 11. SUMMARIZING SHAPE NUMERICALLY: THE g-AND-h DISTRIBUTIONS; 11A. Skewness; 11B. Elongation
11C. Combining Skewness and Elongation
Record Nr. UNINA-9910830463803321
Hoboken, N.J., : Wiley-Interscience, 2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Exploring data tables, trends, and shapes [[electronic resource] /] / edited by David C. Hoaglin, Frederick Mosteller, John W. Tukey
Exploring data tables, trends, and shapes [[electronic resource] /] / edited by David C. Hoaglin, Frederick Mosteller, John W. Tukey
Edizione [1st ed.]
Pubbl/distr/stampa Hoboken, N.J., : Wiley-Interscience, 2006
Descrizione fisica 1 online resource (564 p.)
Disciplina 519.5
Altri autori (Persone) HoaglinDavid C <1944-> (David Caster)
MostellerFrederick <1916-2006.>
TukeyJohn W <1915-2000.> (John Wilder)
Collana Wiley series in probability and statistics
Soggetto topico Mathematical statistics
ISBN 1-283-33238-8
9786613332387
1-118-15070-8
1-118-15069-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Exploring Data Tables, Trends, and Shapes; Contents; 1. THEORIES OF DATA ANALYSIS: FROM MAGICAL THINKING THROUGH CLASSICAL STATISTICS; 1A. Intuitive Statistics-Some Inferential Problems; 1B. Multiplicity-A Pervasive Problem; 1C. Some Remedies; 1D. Theories for Data Analysis; 1E. Uses for Mathematics; 1F. In Defense of Controlled Magical Thinking; 2. FITTING BY ORGANIZED COMPARISONS: THE SQUARE COMBINING TABLE; 2A. Combining Comparisons; 2B. Two-Way Tables; 2C. Paired Comparisons; 2D. Analyzing Tables Containing Holes; 2E. Summary; Exercises; 3. RESISTANT NONADDITIVE FITS FOR TWO-WAY TABLES
3A. The Simple Additive Model and Median Polish3B. One Step Beyond an Additive Fit; 3C. Assessing and Comparing Fits; 3D. Multiplicative Fits; 3E. Techniques for Obtaining Simple Multiplicative Fits; 3F. Additive-Plus-Multiplicative Fits; 3G. Some Background for Nonadditive Fits; 3H. Summary; Exercises; 4. THREE-WAY ANALYSES; 4A. Structure of the Three-Way Table; 4B. Decompositions and Models for Three-Way Analysis; 4C. Median-Polish Analysis for the Main-Effects-Only Case; 4D. Nonadditivity and a Diagnostic Plot in Main-Effects-Only Analysis; 4E. Analysis Using Means
4F. Median-Polish Analysis for the Full-Effects Case4G. Diagnostic Plots for the Full-Effects Case; 4H. Fitting the Full-Effects Model by Means; 4I. Computation, Other Polishes, and Missing Values; 4J. Summary; Exercises; 5. IDENTIFYING EXTREME CELLS IN A SIZABLE CONTINGENCY TABLE: PROBABILISTIC AND EXPLORATORY APPROACHES; 5A. The Hypergeometric Distribution; 5B. Assessing Outliers; 5C. The Simulation Approach; 5D. Applying the Simulation Approach to the Table of Archaeological Data; 5E. An Exploratory Approach, Based on Deviations from Independence; 5F. A Logarithmic Exploratory Approach
5G. Illustrations of the New Standardization5H. Summary; 5I. Conclusion; 6. FITTING STRAIGHT LINES BY EYE; 6A. Method; 6B. Results; 6C. Summary; 7. RESISTANT MULTIPLE REGRESSION, ONE VARIABLE AT A TIME; 7A. Resistant Lines; 7B. Sweeping Out; 7C. Example; 7D. When Carriers Come in Blocks; 7E. Summary; Exercises; 8. ROBUST REGRESSION; 8A. Why Robust Regression?; 8B. M-Estimators and W-Estimators for Regression; 8C. Computation; 8D. Example: The Stack Loss Data; 8E. Bounded-Influence Regression; 8F. Some Alternative Methods; 8G. Summary; Exercises; 9. CHECKING THE SHAPE OF DISCRETE DISTRIBUTIONS
9A. A Poissonness Plot9B. Confidence Intervals for the Count Metameter; 9C. When Is a Point Discrepant?; 9D. Overall Plots for Other Families of Distributions; 9E. Frequency-Ratio Alternatives; 9F. Cooperative Diversity; 9G. Double-Root Residuals; 9H. Summary; Exercises; 10. USING QUANTILES TO STUDY SHAPE; 10A. Diagnosing Skewness; 10B. Diagnosing Elongation; 10C. Quantile-Quantile Plots; 10D. Plots for Skewness and Elongation; 10E. Pushback Analysis; 10F. Summary; 10G. Appendix; Exercises; 11. SUMMARIZING SHAPE NUMERICALLY: THE g-AND-h DISTRIBUTIONS; 11A. Skewness; 11B. Elongation
11C. Combining Skewness and Elongation
Record Nr. UNINA-9910840774903321
Hoboken, N.J., : Wiley-Interscience, 2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Fundamentals of exploratory analysis of variance [[electronic resource] /] / edited by David C. Hoaglin, Frederick Mosteller, John W. Tukey
Fundamentals of exploratory analysis of variance [[electronic resource] /] / edited by David C. Hoaglin, Frederick Mosteller, John W. Tukey
Pubbl/distr/stampa New York, : Wiley, c1991
Descrizione fisica 1 online resource (456 p.)
Disciplina 519.5
519.538
Altri autori (Persone) HoaglinDavid C <1944-> (David Caster)
MostellerFrederick <1916-2006.>
TukeyJohn W <1915-2000.> (John Wilder)
Collana Wiley series in probability and mathematical statistics. Applied probability and statistics
Soggetto topico Analysis of variance
Mathematical statistics
ISBN 1-282-30777-0
9786612307775
0-470-31683-7
0-470-31766-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Fundamentals of Exploratory Analysis of Variance; Contents; 1. Concepts and Examples in Analysis of Variance; 1A. Interaction in ANOVA; 1B. A Graphical Analysis of a Complex Experiment on the Hardness of Dental Gold; 1C. An Election Example; 1D. Why Main Effects and Interactions?; Exercises; 2. Purposes of Analyzing Data that Come in a Form Inviting Us to Apply Tools from the Analysis of Variance; 2A. Purposes Can Be Both Diverse and Unfamiliar; 2B. A Quantitative Microcosm; 2C. More Classic Purposes; 2D. Causation, Experimentation, and Observation; 2E. Summary; Exercises
3. Preliminary Examination of Data3A. Editing; 3B. Appreciating the Data; 3C. Plots of the Data; 3D. Boxplots; 3E. Stem-and-Leaf Displays; 4. Types of Factors and Their Structural Layouts; 4A. Types of Factors; 4B. Relationships Between Factors; 4C. One-way and Two-way Layouts; 4D. Three-Way and More-Way Layouts; 4E. Summary; Exercises; 5. Value-Splitting: Taking the Data Apart; 5A. Forming Overlays; 5B. Overlays for One-way Data; 5C. What the Residuals Tell Us; 5D. Comparing Overlays: An ANOVA Table; 5E. Designs with Two Crossed Factors; 5F. Interaction and Replication
5G. Two-Factor Designs with Replication5H. Two-Factor Data with Nesting; 5I. Other Descriptions; 5J. Summary; Exercises; 6. Value Splitting Involving More Factors; 6A. Three Crossed Factors; 6B. Four Crossed Factors; 6C. Latin Square Designs; 6D. Summary; Exercises; 7. Mean Squares, F Tests, and Estimates of Variance; 7A. Formal Inferences: The F Test; 7B. Broadening the Base for the F Test; 7C. (Optional) Note on the Relation of the Pitman-Welch Work to an Ordinary F Distribution; 7D. Confidence Intervals for u2 Under Ideal Conditions; 7E. Sensitivity to the Assumption of Normality
Exercises8. Graphical Display as an Aid to Analysis; 8A. An Overview of Graphical Methods for One-way ANOVA; 8B. Graphical Display for Two-Factor Data; 8C. A Side-by-Side Plot Attuned to Mean Squares; 8D. A Detailed Example: Percentage of Americans Who Have Never Married; 8E. Patterns or Noise?; 8F. Exploring Residuals Graphically; 8G. Summary; Exercises; 9. Components of Variance; 9A. Structures Leading to Components in One-way Analysis of Variance; 9B. Example: Variance Components for Blood Pressure; 9C. Alternative Methods for Estimating Variance Components
9D. Confidence Intervals for Variance Components9E. Unbalanced Cases ( Expected-Mean-Square Method); 9F. Two-way Tables; 9G. Example: Nationalization of Electoral Forces; 9H. Summary; Exercises; 10. Which Denominator?; 10A. Analyzing the Structure; 10B. The Sampling or Pigeonhole Model; 10C. The Notion of "Above"; 10D. Three-Way Special Cases; 10E. Constructing an Appropriate Error Term; 10F. Estimation of Variance Components in a Two-way Analysis of Variance by Equating Average Values; 10G. An Alternative Model for Interaction in Two-way Analysis of Variance
10H. A Three-Way Example: Tumor Size
Record Nr. UNINA-9910144693603321
New York, : Wiley, c1991
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Planning and analysis of observational studies [[electronic resource] /] / William G. Cochran ; edited by Lincoln E. Moses and Frederick Mosteller
Planning and analysis of observational studies [[electronic resource] /] / William G. Cochran ; edited by Lincoln E. Moses and Frederick Mosteller
Autore Cochran William G (William Gemmell), <1909-1980.>
Pubbl/distr/stampa New York, : Wiley, c1983
Descrizione fisica 1 online resource (166 p.)
Disciplina 001.4
001.42
519.5352
Altri autori (Persone) MosesLincoln E
MostellerFrederick <1916-2006.>
Collana Wiley series in probability and mathematical statistics
Soggetto topico Analysis of variance
Experimental design
ISBN 1-282-30799-1
9786612307997
0-470-31654-3
0-470-31728-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Planning and Analysis of Observational Studies; Contents; 1. VARIATION, CONTROL, AND BIAS; 1. I. Introduction; 1.2. Strategy in Controlled Experiments- Sampled and Target Populations; 1.3. The Principal Sources of Variation in the Responses; 1.4. Methods of Control; 1.5. Effects of Bias; 1.6. Summary; References; 2. STATISTICAL INTRODUCTION; 2.1. Drawing Conclusions from Data; 2.2. Tests of Significance; 2.3. Confidence Intervals; 2.4. Systematic Differences Between the Populations; 2.5. The Model When Bias is Present; 2.6. Summary; References; 3. PRELIMINARY ASPECTS OF PLANNING
3.1. Introdudtion3.2. The Statement of Objectives; 3.3. The Treatments; 3.4. Measurements of Treatment Levels for Individual Persons and the Effects of Grouping; 3.5. Other Points Related to Treatments; 3.6. Control Treatments; 3.7. The Responses; 3.8. Timing of Measurements; 3.9. summary; References; 4. FURTHER ASPECTS OF PLANNING; 4.1. Sample Size in Relation to Tests of Significance; 4.2. Sample Size for Estimation; 4.3. The Effect of Bias; 4.4. More Complex Comparisons; 4.5. Samples of Clusters; 4.6. Plans for Reducing Nonresponse; 4.7. Relationship Between Sampled and Target Populations
4.8. Pilot Studies and Pretests4.9. The Devil's Advocate; 4.10. Summary; References; 5 . MATCHING; 5.1. Confounding Variables; 5.2. Matching; 5.3. The Construction of Matches; 5.4. Effect of Within-Class Matching on x; 5.5. Effect of Caliper Matching on x; 5.6. Effect of "Nearest Available" Matching on x; 5.7. Effect of Mean Matching on x; 5.8. Effects on bias of y1 - y2; 5.9. Effect of Matching on the Variance of y1 - y2; 5.10. Introduction to Statistical Analysis of Pair-Matched Samples; 5.11. Analysis with Mean Matching: y Continuous; 5.12. summary; References; 6. ADJUSTMENTS IN ANALYSIS
6.1. Introduction6.2. y Continuous: x's Classified; 6.3. y Binomial: x's Classified; 6.4. Treatment Difference Varying From Cell to Cell; 6.5. y and x's Quantitative: Adjustments by Regression (Covariance); 6.6. Regression Adjustments with Some x's Classified; 6.7. Effect of Regression Adjustments on Bias in y1-y2; 6.8. Effect of Curvature on Linear-Regression Adjustments; 6.9. Effectiveness of Regression Adjustments on Precision; 6.10. Effect of Errors in the Measurement of x; 6.11. Matching and Adjustment Compared: In Experiments
6.12. Matching and Adjustment Compared: In Observational StudiesAppendix to Section 6.12; 6.13. A Preliminary Test of Comparability; 6.14. Summary; References; 7. SIMPLE STUDY STRUCTURES; 7.1. Introduction; 7.2. The Single Group: Measured After Treatment Only; 7.3. The Single Group: Measured Before and After Treatment; 7.4. The Single Group: Series of Measurements Before and After; References; INDEX
Record Nr. UNINA-9910144696203321
Cochran William G (William Gemmell), <1909-1980.>  
New York, : Wiley, c1983
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Planning and analysis of observational studies [[electronic resource] /] / William G. Cochran ; edited by Lincoln E. Moses and Frederick Mosteller
Planning and analysis of observational studies [[electronic resource] /] / William G. Cochran ; edited by Lincoln E. Moses and Frederick Mosteller
Autore Cochran William G (William Gemmell), <1909-1980.>
Pubbl/distr/stampa New York, : Wiley, c1983
Descrizione fisica 1 online resource (166 p.)
Disciplina 001.4
001.42
519.5352
Altri autori (Persone) MosesLincoln E
MostellerFrederick <1916-2006.>
Collana Wiley series in probability and mathematical statistics
Soggetto topico Analysis of variance
Experimental design
ISBN 1-282-30799-1
9786612307997
0-470-31654-3
0-470-31728-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Planning and Analysis of Observational Studies; Contents; 1. VARIATION, CONTROL, AND BIAS; 1. I. Introduction; 1.2. Strategy in Controlled Experiments- Sampled and Target Populations; 1.3. The Principal Sources of Variation in the Responses; 1.4. Methods of Control; 1.5. Effects of Bias; 1.6. Summary; References; 2. STATISTICAL INTRODUCTION; 2.1. Drawing Conclusions from Data; 2.2. Tests of Significance; 2.3. Confidence Intervals; 2.4. Systematic Differences Between the Populations; 2.5. The Model When Bias is Present; 2.6. Summary; References; 3. PRELIMINARY ASPECTS OF PLANNING
3.1. Introdudtion3.2. The Statement of Objectives; 3.3. The Treatments; 3.4. Measurements of Treatment Levels for Individual Persons and the Effects of Grouping; 3.5. Other Points Related to Treatments; 3.6. Control Treatments; 3.7. The Responses; 3.8. Timing of Measurements; 3.9. summary; References; 4. FURTHER ASPECTS OF PLANNING; 4.1. Sample Size in Relation to Tests of Significance; 4.2. Sample Size for Estimation; 4.3. The Effect of Bias; 4.4. More Complex Comparisons; 4.5. Samples of Clusters; 4.6. Plans for Reducing Nonresponse; 4.7. Relationship Between Sampled and Target Populations
4.8. Pilot Studies and Pretests4.9. The Devil's Advocate; 4.10. Summary; References; 5 . MATCHING; 5.1. Confounding Variables; 5.2. Matching; 5.3. The Construction of Matches; 5.4. Effect of Within-Class Matching on x; 5.5. Effect of Caliper Matching on x; 5.6. Effect of "Nearest Available" Matching on x; 5.7. Effect of Mean Matching on x; 5.8. Effects on bias of y1 - y2; 5.9. Effect of Matching on the Variance of y1 - y2; 5.10. Introduction to Statistical Analysis of Pair-Matched Samples; 5.11. Analysis with Mean Matching: y Continuous; 5.12. summary; References; 6. ADJUSTMENTS IN ANALYSIS
6.1. Introduction6.2. y Continuous: x's Classified; 6.3. y Binomial: x's Classified; 6.4. Treatment Difference Varying From Cell to Cell; 6.5. y and x's Quantitative: Adjustments by Regression (Covariance); 6.6. Regression Adjustments with Some x's Classified; 6.7. Effect of Regression Adjustments on Bias in y1-y2; 6.8. Effect of Curvature on Linear-Regression Adjustments; 6.9. Effectiveness of Regression Adjustments on Precision; 6.10. Effect of Errors in the Measurement of x; 6.11. Matching and Adjustment Compared: In Experiments
6.12. Matching and Adjustment Compared: In Observational StudiesAppendix to Section 6.12; 6.13. A Preliminary Test of Comparability; 6.14. Summary; References; 7. SIMPLE STUDY STRUCTURES; 7.1. Introduction; 7.2. The Single Group: Measured After Treatment Only; 7.3. The Single Group: Measured Before and After Treatment; 7.4. The Single Group: Series of Measurements Before and After; References; INDEX
Record Nr. UNINA-9910830866603321
Cochran William G (William Gemmell), <1909-1980.>  
New York, : Wiley, c1983
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Planning and analysis of observational studies [[electronic resource] /] / William G. Cochran ; edited by Lincoln E. Moses and Frederick Mosteller
Planning and analysis of observational studies [[electronic resource] /] / William G. Cochran ; edited by Lincoln E. Moses and Frederick Mosteller
Autore Cochran William G (William Gemmell), <1909-1980.>
Pubbl/distr/stampa New York, : Wiley, c1983
Descrizione fisica 1 online resource (166 p.)
Disciplina 001.4
001.42
519.5352
Altri autori (Persone) MosesLincoln E
MostellerFrederick <1916-2006.>
Collana Wiley series in probability and mathematical statistics
Soggetto topico Analysis of variance
Experimental design
ISBN 1-282-30799-1
9786612307997
0-470-31654-3
0-470-31728-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Planning and Analysis of Observational Studies; Contents; 1. VARIATION, CONTROL, AND BIAS; 1. I. Introduction; 1.2. Strategy in Controlled Experiments- Sampled and Target Populations; 1.3. The Principal Sources of Variation in the Responses; 1.4. Methods of Control; 1.5. Effects of Bias; 1.6. Summary; References; 2. STATISTICAL INTRODUCTION; 2.1. Drawing Conclusions from Data; 2.2. Tests of Significance; 2.3. Confidence Intervals; 2.4. Systematic Differences Between the Populations; 2.5. The Model When Bias is Present; 2.6. Summary; References; 3. PRELIMINARY ASPECTS OF PLANNING
3.1. Introdudtion3.2. The Statement of Objectives; 3.3. The Treatments; 3.4. Measurements of Treatment Levels for Individual Persons and the Effects of Grouping; 3.5. Other Points Related to Treatments; 3.6. Control Treatments; 3.7. The Responses; 3.8. Timing of Measurements; 3.9. summary; References; 4. FURTHER ASPECTS OF PLANNING; 4.1. Sample Size in Relation to Tests of Significance; 4.2. Sample Size for Estimation; 4.3. The Effect of Bias; 4.4. More Complex Comparisons; 4.5. Samples of Clusters; 4.6. Plans for Reducing Nonresponse; 4.7. Relationship Between Sampled and Target Populations
4.8. Pilot Studies and Pretests4.9. The Devil's Advocate; 4.10. Summary; References; 5 . MATCHING; 5.1. Confounding Variables; 5.2. Matching; 5.3. The Construction of Matches; 5.4. Effect of Within-Class Matching on x; 5.5. Effect of Caliper Matching on x; 5.6. Effect of "Nearest Available" Matching on x; 5.7. Effect of Mean Matching on x; 5.8. Effects on bias of y1 - y2; 5.9. Effect of Matching on the Variance of y1 - y2; 5.10. Introduction to Statistical Analysis of Pair-Matched Samples; 5.11. Analysis with Mean Matching: y Continuous; 5.12. summary; References; 6. ADJUSTMENTS IN ANALYSIS
6.1. Introduction6.2. y Continuous: x's Classified; 6.3. y Binomial: x's Classified; 6.4. Treatment Difference Varying From Cell to Cell; 6.5. y and x's Quantitative: Adjustments by Regression (Covariance); 6.6. Regression Adjustments with Some x's Classified; 6.7. Effect of Regression Adjustments on Bias in y1-y2; 6.8. Effect of Curvature on Linear-Regression Adjustments; 6.9. Effectiveness of Regression Adjustments on Precision; 6.10. Effect of Errors in the Measurement of x; 6.11. Matching and Adjustment Compared: In Experiments
6.12. Matching and Adjustment Compared: In Observational StudiesAppendix to Section 6.12; 6.13. A Preliminary Test of Comparability; 6.14. Summary; References; 7. SIMPLE STUDY STRUCTURES; 7.1. Introduction; 7.2. The Single Group: Measured After Treatment Only; 7.3. The Single Group: Measured Before and After Treatment; 7.4. The Single Group: Series of Measurements Before and After; References; INDEX
Record Nr. UNINA-9910841254703321
Cochran William G (William Gemmell), <1909-1980.>  
New York, : Wiley, c1983
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui