12216oam 2200577 450 991052389620332120221209210242.03-030-67738-9(CKB)4950000000283607(MiAaPQ)EBC6789175(Au-PeEL)EBL6789175(OCoLC)1283851607(PPN)258300876(EXLCZ)99495000000028360720220713d2022 uy 0engurcz#---auuuutxtrdacontentcrdamediacrrdacarrierAdvanced statistics in criminology and criminal justice /David Weisburd, David B. Wilson, Alese Wooditch, and Chester BrittFifth edition.Cham, Switzerland :Springer,[2022]©20221 online resource (552 pages)3-030-67737-0 Includes bibliographical references and index.Intro -- Contents -- Chapter 1: Introduction -- Proportionality Review and the Supreme Court of New Jersey: A Cautionary Tale -- Generalized Linear Models -- Special Topics -- References -- Chapter 2: Multiple Regression -- Overview of Simple Regression -- Extending Simple Regression to Multiple Regression -- Assumptions of Multiple Regression -- Independence -- Normally Distributed Errors -- Homoscedasticity of Errors -- Linearity -- Measurement Error in the Independent Variables -- Regression Diagnostics -- Dealing with Outliers and Influential Cases -- Testing the Significance of Individual Regression Coefficients -- Assessing Overall Model Fit and Comparing Nested Models -- R2 and Adjusted R2 -- Comparing Regression Coefficients Within a Single Model: The Standardized Regression Coefficient -- Correctly Specifying the Regression Model -- Model Specification and Building -- An Example of a Multiple Regression Model -- Chapter Summary -- Key Terms -- Symbols and Formulas -- Exercises -- Computer Exercises -- SPSS -- Standardized Regression Coefficients (Betas) -- F-Test for a Subset of Variables -- Residual Plot -- Stata -- Standardized Regression Coefficients (Betas) -- F-Test for a Subset of Variables -- Residual Plot -- R -- Standardized Regression Coefficients (Betas) -- F-Test for a Subset of Variables -- Residual Plot -- Problems -- References -- Chapter 3: Multiple Regression: Additional Topics -- Nominal Variables with Three or More Categories in Multiple Regression -- Nonlinear Relationships -- Finding a Nonlinear Relationship: Graphical Assessment -- Incorporating Nonlinear Relationships into an OLS Model Using a Quadratic Term of an Independent Variable -- Interpreting Nonlinear Coefficients -- Note on Statistical Significance -- Transforming the Dependent Variable -- Review of Nonlinear Relationships -- Interaction Effects.Interaction of a Dummy Variable and a Scaled Variable -- An Example: Race and Punishment Severity -- Interaction Effects Between Two Scaled Variables -- An Example: Punishment Severity -- The Problem of Multicollinearity -- Chapter Summary -- Key Terms -- Symbols and Formulas -- Exercises -- Computer Exercises -- SPSS -- Dummy Coding Nominal Variables -- Computing Nonlinear and Interaction Terms -- Nonlinear Terms -- Interaction Terms -- Estimating the Regression Model -- Collinearity Diagnostics -- Stata -- Dummy Coding Nominal Variables -- Computing Nonlinear and Interaction Terms -- Nonlinear Terms -- Interaction Terms -- Estimating the Regression Model -- Collinearity Diagnostics -- R -- Dummy Coding Nominal Variables -- Computing Nonlinear and Interaction Terms -- Nonlinear Terms -- Interaction Terms -- Estimating the Regression Model -- Collinearity Diagnostics -- Problems -- References -- Chapter 4: Logistic Regression -- Why Is It Inappropriate to Use OLS Regression for a Dichotomous Dependent Variable? -- Logistic Regression -- A Substantive Example: Adoption of Compstat in U.S. Police Agencies -- Interpreting Logistic Regression Coefficients -- The Odds Ratio -- The Derivative at Mean -- Comparing Logistic Regression Coefficients -- Using Probability Estimates to Compare Coefficients -- Standardized Logistic Regression Coefficients -- Evaluating the Logistic Regression Model -- Percent of Correct Predictions -- Pseudo-R2 -- Statistical Significance in Logistic Regression -- Chapter Summary -- Key Terms -- Symbols and Formulas -- Exercises -- Computer Exercises -- SPSS -- Stata -- R -- Problems -- References -- Chapter 5: Multiple Regression with Multiple Category Nominal or Ordinal Measures -- Multinomial Logistic Regression -- A Substantive Example: Case Dispositions in California -- The Missing Set of Coefficients -- Statistical Inference.Single Coefficients -- Multiple Coefficients -- Overall Model -- A Concluding Observation About Multinomial Logistic Regression Models -- Ordinal Logistic Regression -- Interpretation of Ordinal Logistic Regression Coefficients -- Substantive Example: Severity of Punishment Decisions -- Interpreting the Coefficients -- Statistical Significance -- Parallel Slopes Tests -- Score Test -- Brant Test -- Partial Proportional Odds -- Severity of Punishment Example -- Chapter Summary -- Key Terms -- Formulas -- Exercises -- Computer Exercises -- SPSS -- Multinomial Logistic Regression -- Ordinal Logistic Regression -- Stata -- Multinomial Logistic Regression -- Ordinal Logistic Regression -- Partial Proportional Odds -- R -- Multinomial Logistic Regression -- Ordinal Logistic Regression -- Partial Proportional Odds -- Problems -- References -- Chapter 6: Count-Based Regression Models -- The Poisson Distribution -- Poisson Regression -- Incident Rate Ratios (IRRs) -- Significance Testing -- Exposure and Offsets -- An Example: California 1999 Uniform Crime Report Data -- Over-Dispersion in Count Data -- Quasi-Poisson and Negative Binomial Regression -- An Example: Reanalysis of the California 1999 Uniform Crime Report Data -- Zero-Inflated Poisson and Negative Binomial Regression -- Chapter Summary -- Key Terms -- Symbols and Formulas -- Exercises -- Computer Exercises -- SPSS -- Poisson Regression -- Quasi-Poisson Regression -- Negative Binomial Regression -- Zero-Inflated Poisson/Negative Binomial Regression -- Stata -- Poisson Regression -- Quasi-Poisson Regression -- Negative Binomial Regression -- Zero-Inflated Poisson/Negative Binomial Regression -- R -- Poisson Regression -- Quasi-Poisson Regression -- Negative Binomial Regression -- Zero-Inflated Poisson/Negative Binomial Regression -- Problems -- References -- Chapter 7: Multilevel Regression Models.A Simple Multilevel Model -- Fixed-Effects and Random-Effects -- A Substantive Example: Bail Decision-Making Study -- Intraclass Correlation and Explained Variance -- Deciding Between and Fixed- and Random-Effects Model -- Statistical Significance -- Bail Decision-Making Study -- Random Intercept Model with Fixed Slopes -- Statistical Significance -- Centering Independent Variables -- Bail Decision-Making Study -- Between and Within Effects -- Testing for Between and Within Effects -- Bail Decision-Making Study -- Random Coefficient Model -- Variance Estimates -- Bail Decision-Making Study -- Adding Cluster (Level 2) Characteristics -- A Substantive Example: Race and Sentencing Across Pennsylvania Counties -- Multilevel Negative Binomial Regression -- Chapter Summary -- Key Terms -- Symbols and Formulas -- Exercises -- Computer Exercises -- SPSS -- Stata -- Random Intercept Models -- Random Coefficient Models -- R -- Random Intercept Models -- Random Coefficient Models -- Problems -- References -- Chapter 8: Statistical Power -- Statistical Power -- Setting the Level of Statistical Power -- Components of Statistical Power -- Statistical Significance and Statistical Power -- Directional Hypotheses -- Sample Size and Statistical Power -- Effect Size and Statistical Power -- Estimating Statistical Power and Sample Size for a Statistically Powerful Study -- Difference of Means Test -- ANOVA -- Correlation -- Least Squares Regression -- Summing Up: Avoiding Studies Designed for Failure -- Chapter Summary -- Key Terms -- Symbols and Formulas -- Computer Exercises -- Stata -- Two-Sample Difference of Means Test -- ANOVA -- Correlation -- OLS Regression -- R -- Two-Sample Difference of Means Test -- ANOVA -- Correlation -- OLS Regression -- Problems -- References -- Chapter 9: Randomized Experiments -- The Structure of a Randomized Experiment.The Main Advantage of Experiments: Isolating Causal Effects -- Internal Validity -- Selected Design Types and Associated Statistical Methods -- The Two-Group Randomized Design -- Three or More Group Randomized Design -- Factorial Design -- Two-Way ANOVA for Between-Subjects Designs -- An Example: Perceptions of Children During a Police Interrogation -- Mixed Within- and Between-Subjects Factorial Designs -- Block Randomized Designs -- Block Randomization and Statistical Power -- Examining Interaction in a Block Randomized Experiment -- Using Covariates to Increase Statistical Power in Experimental Studies -- Chapter Summary -- Key Terms -- Symbols and Formulas -- Exercises -- Computer Exercises -- SPSS -- Independent Sample t-Test -- One-Way ANOVA -- Two-Way Factorial (Type I SS) -- Two-Way Factorial (Type II SS) -- Two-Way Factorial (Type III SS) -- Stata -- Independent Sample t-Test -- One-Way ANOVA -- Two-Way Factorial (Type I SS) -- Two-Way Factorial (Type II SS) -- Two-Way Factorial (Type III SS) -- R -- Independent Sample t-Test -- One-Way ANOVA -- Two-Way Factorial (Type I SS) -- Two-Way Factorial (Type II SS) -- Two-Way Factorial (Type III SS) -- Problems -- References -- Chapter 10: Propensity Score Matching -- The Underlying Logic Behind Propensity Score Matching -- Selection of Model for Predicting Propensity for Treatment -- Matching Methods -- The Case of Work Release in Prison: A Substantive Example -- Assessing the Quality of the Matches -- Sensitivity Analysis for Average Treatment Effects -- Limitations of Propensity Score Matching -- Chapter Summary -- Key Terms -- Symbols and Formulas -- Exercises -- Computer Exercises -- Stata -- Estimating Propensity Score -- Matching Cases -- Assessing Matches -- Estimating Treatment Effect -- R -- Estimating Propensity Score -- Matching Cases -- Assessing Matches -- Estimating Treatment Effect -- Problems.This book provides the student, researcher or practitioner with the tools to understand many of the most commonly used advanced statistical analysis tools in criminology and criminal justice, and also to apply them to research problems. The volume is structured around two main topics, giving the user flexibility to find what they need quickly. The first is "the general linear model" which is the main analytic approach used to understand what influences outcomes in crime and justice. It presents a series of approaches from OLS multivariate regression, through logistic regression and multi-nomial regression, hierarchical regression, to count regression. The volume also examines alternative methods for estimating unbiased outcomes that are becoming more common in criminology and criminal justice, including analyses of randomized experiments and propensity score matching. It also examines the problem of statistical power, and how it can be used to better design studies. Finally, it discusses meta analysis, which is used to summarize studies; and geographic statistical analysis, which allows us to take into account the ways in which geographies may influence our statistical conclusions.CriminologySocial sciencesStatistical methodsCriminology.Social sciencesStatistical methods.364.021Weisburd David568227Wilson David B.1961-Wooditch AleseBritt Chester L.MiAaPQMiAaPQMiAaPQGW5XEFIEBOOK9910523896203321Advanced statistics in criminology and criminal justice2900274UNINA01217nam0 22002891i 450 UON0029119320231205103922.17920070328d1907 |0itac50 baspaES|||| 1||||Comedias de Tirso de Molinacolección ordenada e ilustrada por Emilio Cotarelo y MoriMadridBailly y Bailliere e hijos1907XLVI, 745 p.26 cm.001UON001749532001 Nueva Biblioteca de Autores Españoles210 MadridLibrería Editoríal de Baílly.9ESMadridUONL000218860Letteratura spagnola21TIRSO DE MOLINAUONV119613154851COTARELO Y MORIEmilioUONV130481Bailly-BailliereUONV268170650TÉLLEZ, Gabriel <fray>TIRSO DE MOLINAUONV148509ITSOL20240220RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00291193SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI SPA II 235 SI MR 1689 5 235 Comedias de Tirso de Molina2841167UNIOR03339nam 2201045z- 450 991055737190332120220111(CKB)5400000000042172(oapen)https://directory.doabooks.org/handle/20.500.12854/76570(oapen)doab76570(EXLCZ)99540000000004217220202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierPrevention and Treatment of PeriodontitisBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (184 p.)3-0365-1326-4 3-0365-1325-6 This book is a compilation of articles by experts on the prevention and treatment of periodontal disease, many of which are full of data-based evidence from basic research perspectives or patient data.Medicinebicssc70-kDa heat shock proteinsalveolar bone lossaspiration pneumoniaazithromycinbiological processes (BP)bleeding on probingcarotid artery calcificationchewing abilitychronic periodontitiscomputed tomographydiabetesdiabetic retinopathydiagnosisdifferentially gene expression (DEGs)epidemiological indexfasting blood sugarfollow-up studyGan-Lu-Yingene ontologygingival crevicular fluidgingival fibroblasthealth status indicatorsheat shock proteinherbal medicinehuman gingival fibroblasthuman gingival fibroblasts (HGF)human periodontal ligament fibroblastIL-6IL-8infectioninflammationitem response theoryLow reactive Level Laser Therapy (LLLT)Mfa1microarraymixed effect modelingMMP-1MMP-2oral examinationosteoclastogenesispanoramic radiographsperiodontal diseaseperiodontal diseasesperiodontal inflamed surface areaperiodontal inflamed surface area (PISA)periodontal medicineperiodontal pathogenperiodontal pocketperiodontitisPorphyromonas gingivalisprobing pocket depthproinflammatory cytokinesprotein-protein interaction (PPI)rheumatoid arthritisTLR2tocilizumabToll-like receptorsMedicineOgata Yorimasaedt1283241Imai KenichiedtOgata YorimasaothImai KenichiothBOOK9910557371903321Prevention and Treatment of Periodontitis3019011UNINA04110nam 22006015 450 991087219330332120250807152850.09783031618000303161800910.1007/978-3-031-61800-0(MiAaPQ)EBC31518234(Au-PeEL)EBL31518234(CKB)32658264500041(DE-He213)978-3-031-61800-0(MiAaPQ)EBC31521822(Au-PeEL)EBL31521822(EXLCZ)993265826450004120240704d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierFemale Divinity in the Qur’an In Conversation with the Bible and the Ancient Near East /by Emran El-Badawi1st ed. 2024.Cham :Springer Nature Switzerland :Imprint: Palgrave Macmillan,2024.1 online resource (209 pages)9783031617997 3031617991 Includes bibliographical references and index.Chapter 1: Introduction -- Chapter 2: The Ancient Tree -- Chapter 3: The Divine Couple -- Chapter 4: Divine Birth -- Chapter 5: Daughters of God? -- Chapter 6: The Rise of Allah -- Chapter 7: Conclusion.“This is a marvelous and original piece of scholarship. El-Badawi’s fresh and controversial ideas will make waves among his peers in the academy, and I mean that in a good way. The author shows remarkable awareness of the history, literature, and epigraphy of the region, very wide and deep. He pulls together a variety of sources and moves easily between them. This is a mature work that shows El-Badawi a first-rate scholar at the top of his field.” —David Penchansky, University of St. Thomas, St. Paul, Minnesota, USA This is the first book to examine how pre-Islamic/Late Antique goddesses shaped the Qur’an, including its basic theology and cosmology. Exploring the traces found in the text of cultic veneration to goddesses of Arabia and the Ancient Near East, this book analyses what these traces tell us about female power in late antique Arabia, and how this power changed on the advent of Islam. While recent studies on the Qur’anic God have typically considered the question of divinity separately from gender, this book bridges the gap between these two questions, and is therefore an essential constructive mission. This mission adduces literary and documentary evidence—including recent scholarly revolutions in Syriac literature and Arabian epigraphy—and builds upon the critical insights of preceding studies in conversation with post-biblical and Near Eastern traditions. Emran El-Badawi is Dean of the College of Liberal and Fine Arts at Tarleton State University, where he is also Full Professor of History, Geography and GIS. He was formerly Chair of the Department of Modern and Classical Languages at the University of Houston, where he also served as Associate Professor and Program Director of Middle Eastern Studies. He is author of Queens and Prophets (Oneworld, 2022); The Qur’an and the Aramaic Gospel Traditions (2013), and co-editor of Communities of the Qur’an (Oneworld, 2019). His current research projects include a book on female power in late antique Arabia, and another on hate speech as a global crisis. He has contributed to Forbes, The Houston Chronicle, and The Christian Science Monitor.IslamDoctrinesIslamHistoryReligionsIslamic TheologyIslamic HistoryComparative ReligionIslamDoctrines.IslamHistory.Religions.Islamic Theology.Islamic History.Comparative Religion.200.8209394El-Badawi Emran Iqbal1790583MiAaPQMiAaPQMiAaPQBOOK9910872193303321Female Divinity in the Qur'an4327333UNINA