Part I Statistical Theory: Default Priors Based on Pseudo-likelihoods for the Poisson-GPD Model (Stefano Cabras)
Robustness, Dispersion and Local Functions in Data Depth (Mario Romanazzi and Claudio Agostinelli).- New Distribution-free Plotting Position Through an Approximation to the Beta Median (Pasquale Erto and Antonio Lepore)
On Gaussian Compound Poisson Type Limiting Likelihood Ratio Process (Sergueï Dachian and Ilia Negri)
Archetypal Symbolic Objects (M.R. D’Esposito, F. Palumbo, G. Ragozini)
Lorenz Zonoids and Dependence Measures: A Proposal (Emanuela Raffinetti, Paolo Giudici)
Algebraic Generation of Orthogonal Fractional Factorial Designs (Roberto Fontana and Giovanni Pistone)
Part II Methods for Time Series, Spatial and Functional Data: A Functional Spatio-Temporal Model for Geometric Shape Analysis (Lara Fontanella, Luigi Ippoliti and Pasquale Valentini)
Vector Threshold Moving Average Models: Model Specification and Invertibility (Marcella Niglio, Cosimo Damiano Vitale)
A Regionalization Method for Spatial Functional Data Based on Variogram Models: An Application on Environmental Data (Elvira Romano, Antonio Balzanella, and Rosanna Verde)
Spectral Decomposition of the AR Metric (Maria Iannario and Domenico Piccolo)
Nonlinear Nonstationary Model Building by Genetic Algorithms (Francesco Battaglia and Mattheos K. Protopapas)
Using the Autodependogram in Model Diagnostic Checking (Luca Bagnato and Antonio Punzo)
Part III Statistical Modelling and Data Analysis: Refined Estimation of a Light Tail: an Application to Environmental Data (M. Ivette Gomes, Lígia Henriques-Rodrigues and Frederico Caeiro)
Model-based Classification of Clustered Binary Data with Non Ignorable Missing Values (Francesco Lagona)
A Model for Correlated Paired Comparison Data (Manuela Cattelan and Cristiano Varin)
Closed Skew Normal Stochastic Frontier Models for Panel Data (Roberto Colombi)
How far can Man go? (Isabel Fraga Alves, Laurens de Haan and Cláudia Neves)
Joint Modelling of Longitudinal and Time-to-Event Data: Challenges and Future Directions (Dimitris Rizopoulos)
A Class of Linear Regression Models for Imprecise Random Elements (Renato Coppi, Maria Brigida Ferraro and Paolo Giordani)
A Model-based Dimension Reduction Approach to Classification of Gene Expression Data (Luca Scrucca and Avner Bar-Hen)
Exploiting Multivariate Outcomes in Bayesian Inference for Causal Effects With Noncompliance (Alessandra Mattei, Fabrizia Mealli and Barbara Pacini)
Fuzzy Composite Indicators: An Application for Measuring Customer Satisfaction (Sergio Zani, Maria Adele Milioli, Isabella Morlini)
Part IV Survey Methodology and Official Statistics: Symmetric Association Measures in Effect-control Sampling (Riccardo Borgoni, Piero Quatto and Donata Marasini)
Spatial Misalignment Models for Small Area Estimation: A Simulation Study (Matilde Trevisani and Alan Gelfand)
Scrambled Response Models Based on Auxiliary Variables (Giancarlo Diana and Pier Francesco Perri)
Using Auxiliary Information and Nonparametric Methods in Weighting Adjustments (Emilia Rocco)
Open Source Integer Linear Programming Solvers for Error Localization in Numerical Data (Gianpiero Bianchi, Renato Bruni, Alessandra Reale)
Integrating Business Surveys: Guidelines and Principles Based on the Belgian Experience (Maria Caterina Bramati)
Part V Social Statistics and Demography: A Measure of Poverty Based on the Rasch Model (Maria Cristiana Martini and Cristiano Vanin)
Chronic Poverty in European Mediterranean Countries (Daria Mendola and Annalisa Busetta)
Do Union Formation and Childbearing Improve Subjective Well-being? An application of Propensity Score Matching to a Bulgarian Banel (Emiliano Sironi and Francesco C. Billari)
Health and Functional Status in Elderly Patients Living in Residential Facilities in Italy (Giulia Cavrini, Claudia Di Priamo, Lorella Sicuro, Alessandra Battisti, Alessandro Solipaca and Giovanni de Girolamo)
Dementia in the Elderly:. Health Consequences on Household Members (Egidi V., Salvatore M.A., Gargiulo L., Iannucci L., Sebastiani G., Tinto A.)
Asset Ownership of the Elderly Across Europe: A multilevel Latent Class Analysis to Segment Countries and Households (Omar Paccagnella and Roberta Varriale)
The Longevity Pattern in Emilia Romagna, Italy: A Spatio-temporal Analysis (Giulia Roli, Rossella Miglio, Rosella Rettaroli and Alessandra Samoggia)
Material Deprivation and Incidence of Lung Cancer: A Census Block Analysis (Laura Grisotto, Dolores Catelan and Annibale Biggeri)
Mining Administrative Health Databases for Epidemiological Purposes: A Case Study on Acute Myocardial Infarctions Diagnoses (Francesca Ieva, Anna Maria Paganoni and Piercesare Secchi)
Part VI Economic Statistics and Econometrics: Fractional Integration Models for Italian Electricity Zonal Prices (Angelica Gianfreda and Luigi Grossi)
A Generalized Composite Index Based on the Non-Substitutability of Individual Indicators (Matteo Mazziotta and Adriano Pareto)
Evaluating the Efficiency of the Italian University Educational Processes Through Frontier Production Methods (Luigi Biggeri, Tiziana Laureti, Luca Secondi)
Modeling and Forecasting Realized Range Volatility (Massimiliano Caporin and Gabriel G. Velo)
Clusters and Equivalence Scales (Gustavo De Santis and Mauro Maltagliati)
The Determinants of Income Dynamics (Gustavo De Santis and Giambattista Salinari)
Benchmarking and Movement Preservation: Evidences From Real-life and Simulated Series (Tommaso Di Fonzo and Marco Marini)
Cumulation of Poverty Measures to Meet New Policy Needs (Vijay Verma, Francesca Gagliardi, Caterina Ferretti)
Long Memory in Integrated and Realized Variance (Eduardo Rossi and Paolo Santucci de Magistris)
Part I Statistical Theory: Default Priors Based on Pseudo-likelihoods for the Poisson-GPD Model (Stefano Cabras)
Robustness, Dispersion and Local Functions in Data Depth (Mario Romanazzi and Claudio Agostinelli).- New Distribution-free Plotting Position Through an Approximation to the Beta Median (Pasquale Erto and Antonio Lepore)
On Gaussian Compound Poisson Type Limiting Likelihood Ratio Process (Sergueï Dachian and Ilia Negri)
Evaluation as a general approach to problem driven mathematical modeling
Multivariate Data Sets for Inference of Order: Some Considerations and Explorations
Measures of Incomparability and of Inequality and their Applications
Measuring structural dissimilarity between finite partial orders
Measuring complexity of partially ordered sets
Part B: Partial Order as Tool to Analyse Composite Indicators
Comparative Knowledge Discovery with Partial Order and Composite Indicator
A software platform Towards a Comparison of Cars - A case study for Handling Ratio-Based Decisions
Part C: New Trends in Partial Order
Coordination of Contrariety and Ambiguity in Comparative Compositional Contexts: Balance of Normalized Definitive Status in Multi-indicator Systems
Partial orders in socio-economics: an applicative challenge for poset theorists or a cultural challenge for social scientists
Part D: Applications
Ranking Hazardous Chemicals with a heuristic Approach to reduce Isolated Objects in Hasse Diagrams
Hasse diagram Technique can further improve the interpretation of results in multi-elemental large-scale biomonitoring studies of atmospheric metal pollution
Application of Partial Orders and Hasse Matrices in Ranking Contaminated sites
Evaluating Ranking Robustness in Multi-indicator uncertain matrices: An application based on Simulation and Global Sensitivity Analysis
Hasse Diagram technique Contributions to Environmental Risk Assessment
Part E: Software Aspects
PARSEC: an R package for poset-based evaluation in socioeconomic sciences
Higher-Order indicator with Rank-Related Clustering in Multi-Indicator Systems
Pyhasse Software Features Applied on the Evaluation of Chemicals in Human Breast Milk Samples in Turkey
Indicator Analyses, What is important - and for what?
PyHasse software for partial order analysis; Scientific background and description of some modules
Index
Part A: Theory
Evaluation as a general approach to problem driven mathematical modeling
Multivariate Data Sets for Inference of Order: Some Considerations and Explorations
4.Statistical Approaches to Improving Trial Efficiency and Conduct. J.Pogue, P. J. Devereaux and S.Yusuf
5.Competing Risk and Survival Analysis. K.van Montfort, P.Fennema and W.Ghidey
6.Recent Developments in Group-Sequential Designs. J.M. S. Wason
7.Statistical Inference for Non-Inferiority of a Diagnostic Procedure Compared to an Alternative Procedure, Based on the Difference in Correlated Proportions from Multiple Raters. H.Saeki and T.Tango
8.Design and Analysis of Clinical Trial Simulations. K.Kuribayashi
9.Causal Effect Estimation and Dose Adjustment in Exposure-Response Relationship Analysis. J.Wang
10.Different Methods to Analyse Results of a Randomised Controlled Trial with More Than one Follow-up Measurement. J.W. R. Twisk
11.Statistical Methods for the Assessment of Clinical Relevance. M.Kieser
12.Statistical Considerations in the Use of Composite Endpoints in Time to Event Analyses. R.J. Cook and K.-A.Lee
13.Statistical Validation of Surrogate Markers in Clinical Trials. A.Alonso, G.Molenberghs and G.van Breukelen
14.Biomarker-Based Designs of Phase III Clinical Trials for Personalized Medicine. S.Matsui, T.Nonaka and Y.Choai
15.Dose-Finding Models for Two-Agent Combination Phase I Trials. A.Hirakawa and S.Matsui
16.Multi-State Models Used in Oncology Trials. B.Gaschler-Markefski, K.Schiefele, J.Hocke and F.Fleischer
17.Review of Designs for Accommodating Patients’ or Physicians’ Preferences in Randomized Controlled Trials. A.S. Ismaila and S.D. Walter
18.Dose Finding Methods in Oncology: From the Maximum Tolerated Dose to the Recommended Phase II Dose. X.Paoletti and A.Doussau
Preface
List of contributors
1.Statistical Models and Methods for Incomplete Data in Randomized Clinical Trials. M.A. McIsaac and R.J. Cook
Plant Sensitivity and Growth Curve Analysis of Elephant Foot Yam
Some remarks on pseudo panel data
Rates of convergence in CLT for two sample U-statistics in non iid case and multiphasic growth curve
Estimation of animal abundance through imperfectly characterizing signatures
Growth Curve of Elephant Foot Yam, One sided Estimation and Confidence Band
Interrelationship between Economic Growth and Income Inequality: The Indian Experience
Growth Curve reconstruction in Damaged Experiment via Nonlinear Calibration
Growth Curve of Phase change in presence of Polycystic Ovary Syndrome
Declining patterns of average height of adult Indians between 20-49 years: State wise trends and influence of socioeconomic factors
Growth Model of some Vernacular Word Usage during Political Transition
Some Further Results on Nonuniform Rates of Convergence to Normality in Finite Population with applications
Unbounded Growth Model for Word Frequencies in Political Transition
A Statistical Analysis of micro RNA: classification, identification and conservation based on structure and function
Longitudinal Growth of Elephant Foot Yam and Some Characterization Theorems- Optimal Choice of Small Regular Shapes for Accidentally Damaged Tessellation
Plant Sensitivity and Growth Curve Analysis of Elephant Foot Yam
Some remarks on pseudo panel data
Rates of convergence in CLT for two sample U-statistics in non iid case and multiphasic growth curve
Methods for Analyzing Secondary Outcomes in Public Health Case Control Studies
Controlling for Population Density Using Clustering and Data Weighting Techniques When Examining Social Health and Welfare Problems
On the Inference of Partially Correlated Data with Applications to Public Health Issues
Modeling Time-Dependent Covariates in Longitudinal Data Analyses
Solving Probabilistic Discrete Event Systems with Moore-Penrose Generalized Inverse Matrix Method to Extract Longitudinal Characteristics from Cross-Sectional Survey Data
Part II: Modelling Incomplete or Missing Data
On the Effects of Structural Zeros in Regression Models
Modeling Based on Progressively Type-I Interval Censored Sample
Techniques for Analyzing Incomplete Data in Public Health Research
A Continuous Latent Factor Model for Non-ignorable Missing Data
Part III: Healthcare Research Models
Health Surveillance
Standardization and Decomposition Analysis: A Useful Analytical Method for Outcome Difference, Inequality and Disparity Studies
Cusp Catastrophe Modeling in Medical and Health Research
On Ranked Set Sampling Variation and its Applications to Public Health Research
Weighted Multiple Testing Correction for Correlated Endpoints in Survival Data
Meta-analytic Methods for Public Health Research
Part 1: Modelling Clustered Data
Methods for Analyzing Secondary Outcomes in Public Health Case Control Studies
Controlling for Population Density Using Clustering and Data Weighting Techniques When Examining Social Health and Welfare Problems
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