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
1. Data-driven and Confirmatory Subgroup Analysis in Clinical Trials
2. Subgroup Analysis – A View from Industry
3. Biomarker-Targeted Confirmatory Trials
4. Considerations on Subgroup Analysis in Design and Analysis of Multi-Regional Clinical Trials
5. Practical Subgroup Identification Strategies in Late-stage Clinical Trials
6. Exploratory Subgroup Identification for Biopharmaceutical Development
7. Logical Inference on Treatment Efficacy When Subgroup Exists
8. The GUIDE Approach to Subgroup Identification and Inference
9. Use of the VG (Virtual Twins Combined with GUIDE) Method in the Development of Precision Medicines
10. Subgroups Identification for Tailored Therapies: a System of Methods, a Framework for Consistent Methodology Evaluation, and an Integrated Learn-and-confirm Approach
11. Developing and Validating Predictive Classifiers in Randomized Clinical Trials
12. Issues Related to Subgroup Analysis
13. Subgroup Analysis with Partial Linear Model
14. Subgroup Analysis in the 21st Century
15. Power of Statistical Tests for Subgroup Analysis in Meta-Analysis
16. Heterogeneity and Subgroup Analysis in Network Meta-Analysis
1. Data-driven and Confirmatory Subgroup Analysis in Clinical Trials
1. Computational Issues Of Maximum Likelihood Estimation Of The Skew-T Distribution And A Proposal For The Initialization Of Numerical Optimization - by Adelchi Azzalini (University of Padua, Italy) and Mahdi Salehi (University of Neyshabur, Iran)
2. Modelling Earthquakes: Characterizing Inter-Arrival Times And Magnitude - by Christophe Ley (Ghent University, Belgium) and Rosaria Simone (University of Naples Frederico II, Italy)
3. Multivariate Order Statistics Induced By Ordering Linear Combinations Of Components Of Multivariate Elliptical Random Vectors - by Ahad Jamalizadeh (Shahid Bahonar University, Iran), Roohollah Roozegar (Yasouj University, Iran), Narayanaswamy Balakrishnan (McMaster University, Canada) and Mehrdad Naderi (University of Pretoria, South Africa)
4. Spatial Interpolation Of Extreme PM1 Values Using Copulas - by Alfred Stein, Fakhereh Alidoost and Vera van Zoest (University of Twente, The Netherlands)
5. Distributional Aspects Of The Condition Number From A Unified Complex Wishart Setting - by Johannes Ferreira and Andriëtte Bekker (University of Pretoria, South Africa)
6. Weighted Bivariate Pólya-Aeppli Type Ii Distributions - by Claire Geldenhuys and René Ehlers (University of Pretoria, South Africa)
7. On The Distribution Of Linear Combinations Of Chi-Square Random Variables - by Carlos A. Coelho (Universidade Nova de Lisboa, Portugal)
8. Constructing Multivariate Distributions Using The Dirichlet As A Baseline - by Seite Makgai (University of Pretoria, South Africa), Mohammad Arashi (Shahrood University of Technology, Iran), Daan de Waal (University of the Free State), and Andriëtte Bekker (University of Pretoria, South Africa)
9. Evaluating Risk Measures Using The Normal Mean-Variance Birnbaum-Saunders Distribution - by Mehrdad Naderi (University of Pretoria, South Africa), Ahad Jamalizadeh (Shahid Bahonar University, Iran), Wan-Lun Wang (Feng Chia University, Taiwan), Tsung-I Lin (National Chung Hsing University, Taiwan)
10. On High-Dimensional Multivariate Bayesian Geostatistics - by Sudipto Banerjee (University of California, USA)
11. On Improving The Performance Of Logistic Regression Analysis Via Extreme Ranking - by Hani M. Samawi (Georgia Southern University, USA)
12. Optimal Sample Size Allocation For Multi-Level Stress Testing With Extreme Value Regression Under Time Censoring - by Ping Shing Chan (The Chinese University of Hong Kong, Hong Kong),Hon Yiu So (University of Waterloo, Canada), Hon Keung Tony Ng (Southern Methodist University, USA) and Wei Gao (Northeast Normal University, China)
13. Robust Mixtures Of Scale Mixtures In The Exponential Family - by Frans Kanfer and Sollie Millard (University of Pretoria, South Africa)
14. Variable Selection Of Interval-Censored Failure Time Data - by Tony Sun (University of Missouri, USA)
15. On The Design Of A Platform Trial For The Treatment Of Recurrent Clostridium Difficile Infection By Fecal Microbiota Transplantation - by Christine H. Lee (Royal Jubilee Hospital, Canada), Dina Kao (University of Alberta, Canada), Theodore Steiner (University of Vancouver, Canada), Augustine Wigle (University of Guelph, Canada) and Peter T. Kim (University of Guelph, Canada)
16. Recent Advances In Bayesian Adaptive Designs And Applications - by J. Jack Lee (University of Texas, USA)
17. Generalizability Theory For Clinician-Rated Outcomes - by Joseph C. Cappelleri (Executive Director of Biostatistics, Pfizer Inc)
18. Simultaneous Variable Selection And Estimation In Generalized Semiparametric Mixed Effect Modeling Of Longitudinal Data - by Mozhgan Taavoni and Mohammad Arashi (Shahrood University of Technology, Iran)
19. Generalized Rayleigh-Exponential-Weibull Distribution and its Application to Modelling of Progressive Type-I Interval Censored Data - by Ding-Geng Chen (University of Pretoria) and Y. L. Lio (University of South Dakota)
20. Applications Of Spatial Statistics In Poverty Alleviation In China - by Yong Ge (State Key Laboratory of Resources and Environmental Information System Institute of Geographical Sciences and Natural Resources Research, China)
21. Using Improved Robust Estimators In Semiparametric Models For High Dimensional Data - by Mahdi Roozbeh and Mina Norouzirad (Semnan University, Iran)
22. GMM marginal models with time dependent covariates - by Elsa Vazquez (Arizona State University) and Jeffrey R Wilson (Arizona State University)
1. Computational Issues Of Maximum Likelihood Estimation Of The Skew-T Distribution And A Proposal For The Initialization Of Numerical Optimization - by Adelchi Azzalini (University of Padua, Italy) and Mahdi Salehi (University of Neyshabur, Iran)
2. Modelling Earthquakes: Characterizing Inter-Arrival Times And Magnitude - by Christophe Ley (Ghent University, Belgium) and Rosaria Simone (University of Naples Frederico II, Italy)
3. Multivariate Order Statistics Induced By Ordering Linear Combinations Of Components Of Multivariate Elliptical Random Vectors - by Ahad Jamalizadeh (Shahid Bahonar University, Iran), Roohollah Roozegar (Yasouj University, Iran), Narayanaswamy Balakrishnan (McMaster University, Canada) and Mehrdad Naderi (University of Pretoria, South Africa)
Chapter 2 - Statistical test and sample size calculation
Part II : Sample size calculation
Chapter 3 - Comparison of two groups for normally distributed outcomes and test for difference or superiority.-Chapter 4 - Comparison of two groups for continuous and ordered categorical outcomes and test for difference or superiority
Chapter 5 - Comparison of two groups for binary outcomes and test for difference and superiority
Chapter 6 - Comparison of two groups for time-to-event outcomes and test for differences or superiority
Chapter 7 - Comparison of more than two groups and test for difference
Chapter 8 - Comparison of two groups and test for non-inferiority
Chapter 9 - Comparison of three groups in the gold standard non-inferiority design
Chapter 10 - Comparison of two groups for normally distributed outcomes and test for equivalence
Chapter 11 - Multiple comparisons
Chapter 12 - Assessment of safety
Chapter 13 - Cluster-randomized trials
Chapter 14 - Multi-regional trials
Chapter 15 - Integrated planning of phase II/III drug development programs
Part IIIA: Blinded sample size recalculation in internal pilot study designs
Chapter 18 - Background and notation
Chapter 19 - A general approach for controlling the type I error rate for blinded sample size recalculation.-Chapter 20 - Comparison of two groups for normally distributed outcomes and test for difference or superiority
Chapter 21 - Comparison of two groups for binary outcomes and test for difference or superiority
Chapter 22 - Comparison of two groups for normally distributed outcomes and test for non-inferiority
Chapter 23 - Comparison of two groups for binary outcomes and test for non-inferiority
Chapter 24 - Comparison of two groups for normally distributed outcomes and test for equivalence.-Chapter 25 - Regulatory and operational aspects
1. Alternative Capture-Recapture Point and Interval Estimators Based on Two Surveillance Streams – Lyles, Wilkinson, Williamson, Chen, Taylor, Jambai, Kaiser
2. On-Gaussian Model Based Object Tracking Analysis with Time Lapse Fluorescence Microscopy Images – Marcus, Kong
3. Detecting Changepoint in Gene Expressions over Time: An Application to Childhood Obesity – Mathur, Sung
4. How “Big” Are EHR Data? The Effective Sample Size of EHR Data Under Biased Sampling – Hubbard
5. A Nested Clustering Method to Detect and Cluster Transgenerational DNA Methylation Sites via Beta Regressions – Wang, Zhang, Han, Arshad, Karmaus
6. Controlling the False Discovery Rate of Grouped Hypotheses – MacDonald, Wilson, Liang, Qin
7. Approaches to Combining Phase II Proof-of-Concept and Dose-Finding Trials – Ting
8. On the Multiply Robust Estimation with Missing Data – Chen, Haziza
9. Recent Advances in Spectral Clustering and Their Applications in Bioinformatics – Xue
10. Functional Data Modeling and Hypothesis Testing for Longitudinal Alzheimer Genome-Wide Association Studies – Li, Xu, Liu
11. Misuse of Classifiers in Biological Networks – Maharaj
12. A Selective Inference-based Two-stage Procedure for Clinical Safety Studies – Zhu, Guo
13. Inferring Stage of HCV Infections as Recent or Chronic by Machine Learning approach – Icer
14. Graphical Modeling of Multiple Biological Pathways in Genomic Studies – Cao, Zhang, Chen, Wang
15. Online Updating of Nonparametric Survival Estimator and Nonparametric Survival Test – Xue, Schifano, Hu
16. Mixed-Effects Negative Binomial Regression with Interval Censoring: A Simulation Study and Application to Precipitation and All-Cause Mortality Rates among Black South Africans over 1997-2013 – Landon, Lyles, Scovronick, Abadi, Bilotta, Hauer, Bell, Gribble
17. SAS Macros for Linear Mediation Analysis of Complex Survey Data Using Balanced Repeated Replication – Mai, Zhang
18. Joint Modeling of Multiple Skewed Longitudinal Processes with Excess of Zero and Time-to-Event: An Application to Fecundity Studies – Mirzaei, Kundu, Sundaram
19. Infectious Disease Epidemiology: Forecasting the Ongoing 2018-19 Ebola Epidemic in the Democratic Republic of Congo (DRC) Using Phenomenological Growth Models – Tariq, Chowell
20. Models and Estimation Methods for Item Factor Analysis: An Overview – Chen, Zhang
1. Alternative Capture-Recapture Point and Interval Estimators Based on Two Surveillance Streams – Lyles, Wilkinson, Williamson, Chen, Taylor, Jambai, Kaiser
2. On-Gaussian Model Based Object Tracking Analysis with Time Lapse Fluorescence Microscopy Images – Marcus, Kong
3. Detecting Changepoint in Gene Expressions over Time: An Application to Childhood Obesity – Mathur, Sung
Chapter 1: SDGs in Bangladesh: Implementation Challenges & Way Forward
Chapter 2: Some Models and Their Extensions for Longitudinal Analyses
Chapter 3: Association of IL-6 Gene rs1800796 Polymorphism with Cancer Risk: A Meta-Analysis
Chapter 4: Two Level Logistic Regression Analysis of Factors Influencing Dual form of Malnutrition in Mother-child Pairs: A Household Study in Bangladesh
Chapter 5: Divide and Recombine Approach for Analysis of Failure Data Using Parametric Regression Model
Chapter 6: Performance of different data mining methods for predicting rainfall of Rajshahi district, Bangladesh
Chapter 7: Generalized Vector Auto-regression Controlling Intervention and Volatility for Climatic Variables
Chapter 8: Experimental Designs for fMRI Studies in Small Samples
Chapter 9: Bioinformatic Analysis of Differentially Expressed Genes (DEGs) Detected from RNA-Sequencing Profiles of Mouse Striatum
Chapter 10: Level of Serum High-sensitivity C-reactive protein Predicts Atherosclerosis and Coronary Artery Disease in Hyperglycemic Patients
Chapter 11: Identification of Outliers in Gene Expression Data
Chapter 12: Selecting Covariance Structure to Analyze Longitudinal Data: A Study to Model the Body Mass Index of Primary School Going Children in Bangladesh
Chapter 13: Statistical Analysis of Various Optimal Latin Hypercube Designs
Chapter 14: Erlang Loss Formulas: An Elementary Derivation
Chapter 15: Machine Learning, Regression and Numerical Optimization
Chapter 1: SDGs in Bangladesh: Implementation Challenges & Way Forward
Chapter 2: Some Models and Their Extensions for Longitudinal Analyses
Chapter 3: Association of IL-6 Gene rs1800796 Polymorphism with Cancer Risk: A Meta-Analysis
S. M. Dastjerdi, A. HormoziNejad, K. Gharali and J. Nathwani, Numerical investigation of VAWT airfoil shapes on power extraction and self-starting purposes
O. Abu and I. I. Ayogu, An Optimal Control Strategy for a Malaria Model
L. Feng and X. Wang, Automate Obstructive Sleep Apnea Diagnosis Using Convolutional Neural Networks
M. Rezaeian, M. Soltani and F. M. Kashkooli, On the modeling of drug delivery to solid tumors; computational viewpoint
A. F. Ivanov and Z. A. Dzalilov, Oscillations and Periodic Solutions in a Two-Dimensional Differential Delay Model
K. R. Green and R. J. Spiteri, Solving cardiac bidomain problems with B-spline adaptive collocation
A. Sowa, Toral diffeomorphisms induce quantum superoperators via TAQS
N. Mudalige, BOLD.R: A software package to interface with BOLD through R
E. I. Verriest, Properties of the Zeros of the Scale-Delay Equation and Its Time-Variant ODE Realization
M. Ashrafizaadeh, A. Ghavaminia, Development of a lattice Boltzmann model for the solution of partial differential equations, A performance comparison study with that of the finite difference method
M. Ashrafizaadeh, F. Gharibi and S. M. Khatoonabadi, An extended pseudo potential multiphase lattice Boltzmann model with variable viscosity ratio
M. Ahmed and S. A. Campbell, Effect of genetic defects in a cortical circuit model associated with childhood absence epilepsy
P. C. Jentsch and C. L. Nehaniv, Exploring Tetris as a Transformation Semigroup
W. M. Abdullah, S. Hossain and M. A. Khan, Covering Large Complex Networks by Cliques - A Sparse Matrix Approach
T. Migot and Monica-G. Cojocaru, Revisiting Path-Following to Solve the Generalized Nash Equilibrium Problem
H. Shaheen, R. Melnik and S. Singh, Analysis of Cortical Spreading Depression in Brian with Multiscale Mathematical Models
M. Syed Usama and N. A. Malik, A Comparison of Turbulence Generated by 3DS Sparse Grids With Different Blockage Ratios and Different Co-Frame Arrangements
R. Fallahpour and R. Melnik, Numerical Analysis of Nanowire Resonators for Ultra-High Resolution Mass Sensing in Biomedical Applications
I. Farahbakhsh and C. L. Nehaniv, Spatial Iterated Prisoner’s Dilemma as a Transformation Semigroup
L. Graham, M. Demers, Applying Neural Networks to a Fractal Inverse Problem
D. St Jean, H. Kunze and D. Gillis
Evaluating a logistic k-mer based model for classifying CO1 sequences of C. clupeaformis
A. Egri-Nagy and C. L. Nehaniv, A Bestiary of Transformation Semigroups for the Holonomy Decomposition
R. Xu and R. N. Makarov, High-Frequency Statistical Modelling for Jump-Diffusion Multi-Asset Price Processes with a Systemic Component
M. M. Mukhopadhyay and R. N. Makarov, Calibration and Analysis of Structural Credit Risk Models with Occupation Time
N. Mattia Marazzi, V. H. Huxley, R. Sacco and G. Guidoboni, Quantitative study of the coupling among cardiovascular system, lymphatic system and interstitial space
S. M. Dastjerdi, A. HormoziNejad, K. Gharali and J. Nathwani, Numerical investigation of VAWT airfoil shapes on power extraction and self-starting purposes
O. Abu and I. I. Ayogu, An Optimal Control Strategy for a Malaria Model
L. Feng and X. Wang, Automate Obstructive Sleep Apnea Diagnosis Using Convolutional Neural Networks
Chapter 1 - Evaluation of Two-Step Spectral Clustering Algorithm for Large Untypical Data Sets (Andrzej Dudek)
Chapter 2 - Determining the Number of Groups in Cluster Analysis Using Classical Indexes and Stability Measures – Comparison of Results (Dorota Rozmus)
Chapter 3 - Identification of the Words Most Frequently Used by Different Generations of Twitter Users (Agata Majkowska, Kamila Migdał-Najman, Krzysztof Najman and Katarzyna Raca)
Chapter 4 - Classification Algorithms Applications for Information Security on the Internet: a Review (Michał Bryś)
Chapter 5 - Outlier Detection with the Use of Isolation Forests (Krzysztof Najman and Krystian Zieliński)
Part 2: Application in Finance
Chapter 6 - Propositions of Transformations of Asymmetrical Nominants into Stimulants on the Example of Chosen Financial Ratios ( Barbara Batóg and Katarzyna Wawrzyniak)
Chapter 7 - Gini Regression in The Capital Investment Risk Assessment – Sensitivity Risk Measures in Portfolio Analysis (Grażyna Trzpiot)
Part 3: Application in Economics
Chapter 8 - Enterprise Dark Data (Katarzyna Raca)
Chapter 9 - The Significance of Medical Science Issues in Research Papers Published in the Field of Economics (Urszula Cieraszewska, Monika Hamerska, Paweł Lula and Marcela Zembura)
Chapter 10 - Application of Duration Analysis Methods in the Study of the Exit of a Real Estate Sale Offer from the Offer Database System (Ewa Putek-Szeląg, Anna Gdakowicz)
Chapter 11 - Is Society Ready for Long-Term Investments? – Profiles of Electricity Users in Silesia (Sylwia Słupik and Joanna Trzęsiok)
Chapter 12 - The Use of the Spatial Taxonomic Measure of Development to Assess the Tourist Attractiveness of Districts of the Lesser Poland Province(Jacek Wolak)
Part 4: Application in Social Issues
Chapter 13 - Models of Competing Events in Assessing the Effects of the Transition of Unemployed People Between the States of Registration and De-registration (Beata Bieszk-Stolorz)
chapter 14 - Direct Adjusted Survival Probabilities in the Analysis of Finding a Job by the Unemployed Depending on Their Individual Characteristics(Wioletta Grzenda)
Chapter 15 - Europe 2020 Strategy – Objective Evaluation of Realization and Subjective Assessment by Seniors as Beneficiaries of Social Assumptions (Klaudia Przybysz, Agnieszka Stanimir and Marta Wasiak)
Chapter 16 - Do Seniors Get to the Disco by Bike or in a Taxi? – Classification of Seniors According to Their Preferred Means of Transport (Joanna Kos-Łabędowicz and Joanna Trzęsiok)
Part 5: Application with COVID-19 Data
Chapter 17 - The Impact of the COVID-19 Pandemic on the Economies of European Countries in the Period January-September 2020 Based on Economic Indicators (Ewelina Nojszewska and Agata Sielska)
Chapter 18 - Modelling the Risk of Foreign Divestment in the Visegrad Group Countries During the COVID-19 Pandemic (Marcin Salamaga)
Chapter 19 - Analysis of COVID-19 Dynamics in EU Countries Using the Dynamic Time Warping Method and ARIMA Models (Joanna Landmesser)
Part 1: Methodology
Chapter 1 - Evaluation of Two-Step Spectral Clustering Algorithm for Large Untypical Data Sets (Andrzej Dudek)
Chapter 2 - Determining the Number of Groups in Cluster Analysis Using Classical Indexes and Stability Measures – Comparison of Results (Dorota Rozmus)
1. Tree-guided regression and multivariate analysis of microbiome data - Hongu Zhao and Tao Wang
2. Computational methods for metagenomic assemblies and strain identification - Hongzhe Li
3. Graphical models for microbiome data - Ali Shojaie
4. Bayesian models for understanding the modulating factors of microbiome data - Francesco Denti, Matthew D. Koslovsky, Michele Guindani, Marina Vannucci, and Katrine L. Whiteson
5. Use of variable importance in microbiome studies - Hemant Ishwaran
6. Log-linear models for microbiome data - Glen Satten
7. Quantification of amplicon sequences in microbiome samples using statistical methods - Karin Dorman
8. TBD - Jeanine Houwing Duistermaat
9. Analyzing microbiome data by employing the power of abundance ratios - Zhigang Li
10. Beta diversity analysis - Michael Wu
11. MicroPro: using metagenomic unmapped reads to provide insights into human microbiota and disease associations - Fengzhu Sun
12. Statistical methods for feature selection in microbiome studies - Peng Liu
13. A Bayesian restoration of the duality between principal components of a distance matrix and operational taxonomic units in microbiome analyses - Somnath Datta and Subharup Guha
1. Tree-guided regression and multivariate analysis of microbiome data - Hongu Zhao and Tao Wang
2. Computational methods for metagenomic assemblies and strain identification - Hongzhe Li
3. Graphical models for microbiome data - Ali Shojaie
J.J. Egozcue and W.L. Maldonado: An interpretable orthogonal decomposition of positive square matrices
Part I Fundamentals
I. Erb and N. Ay: The information-geometric perspective of compositional data analysis
D.R. Lovell: Log-ratio analysis of finite precision data: caveats, and connections to digital lines and number theory
G. Mateu-Figueras, G.S. Monti and J.J. Egozcue: Distributions on the simplex revisited
J. Graffelman: Compositional biplots: a story of false leads and hidden features revealed by the last dimensions
Part II Statistical Methodology
K. Fačevicová, P. Kynčlová and K. Macků: Geographically weighted regression analysis for two-factorial compositional data
C. Barceló-Vidal and J.A. Martín-Fernández: Factor analysis of compositional data with a total
M. Gallo, V. Simonacci and V. Todorov: A compositional three-way approach for student satisfaction analysis
M. Templ: Artificial neural networks to impute rounded zeros in compositional data
E. Saus–Sala, À. Farreras–Noguer, N. Arimany–Serrat, and G. Coenders: Compositional du pont analysis. A visual tool for strategic financial performance assessment
A. Menafoglio: Spatial statistics for distributional data in Bayes spaces: from object-oriented kriging to the analysis of warping functions
C. Thomas-Agnan, T. Laurent, A. Ruiz-Gazen, N. Thi Huong An, R. Chakir and A. Lungarska: Spatial simultaneous autoregressive models for compositional data: application to land use
Part III Applications
A. Buccianti, C. Gozzi: The whole versus the parts: the challenge of compositional data analysis (CoDA) methods for geochemistry
M.A. Engle and J.A. Chaput: Groundwater origin determination in historic chemical datasets through supervised compositional data analysis: Brines of the Permian Basin, USA
J.M. McKinley, U. Mueller, P.M. Atkinson, U. Ofterdinger, S.F. Cox, R. Doherty, D. Fogarty and J.J. Egozcue
Chronic kidney disease of uncertain aetiology and its relation with waterborne environmental toxins: An investigation via compositional balances
R.A. Olea, J.A. Martín-Fernández and W.H. Craddock: Multivariate classification of the crude oil petroleum systems in southeast Texas, USA, using conventional and compositional data analysis of biomarkers
J.R. Wu, J.M. Macklaim, B.L. Genge and G.B. Gloor: Finding the centre: compositional asymmetry in high-throughput sequencing datasets
L. Huang and H. Li: Bayesian balance-regression in microbiome studies using stochastic search
D.E. McGregor, P.M. Dall, J. Palarea-Albaladejo and S.F.M. Chastin: Compositional data analysis in physical activity and health research. Looking for the right balance
D. Dumuid, Ž. Pedišić, J. Palarea-Albaladejo, J.A. Martín-Fernández, K. Hron and T. Olds: Compositional data analysis in time-use epidemiology
Preface
J.J. Egozcue and W.L. Maldonado: An interpretable orthogonal decomposition of positive square matrices
N. Sepúlveda, How to Increase the Visibility of Statisticians in the Modern World of Dataism?
M. Souto de Miranda, M. C. Miranda, M. I. Gomes, A Robust Hurdle Poisson Model in the Estimation of the Extremal Index
F. Caeiro, Maria Ivette Gomes, Computational Study of the Adaptive Estimation of the Extreme Value Index with Probability Weighted Moments
M. I. Gomes, F. Caeiro, L. Henriques-Rodrigues , Estimation of the Weibull Tail Coefficient through the Power Mean-of-Order p
S. Dias, M. da Graça Temido, On the Maximum of a Bivariate Max-INAR(1) process
M. Cardoso, A. Martins, The Performance of a Combined Distance Between Time Series
E. Gonçalves, D. Sousa, Zero-distorted Generalized Geometric Distribution with Application to Time Series of Counts
A. Borges, M. R. Ramos, Clara Cordeiro, Uncovering Abnormal Water Consumption Patterns for Sustainability’s Sake: A Statistical Approach
P. Fernando Cabral dos Anjos Junior, P. Milheiro-Oliveira, Modeling and Forecasting Wind Energy Production by Stochastic Differential Equations
A. Monteiro, M. Lucília Carvalho, I. Figueiredo, P. Simões, I. Natário, Intensity-Dependent Point Processes
P. Simões, M. Lucília Carvalho, I. Figueiredo, A. Monteiro, I. Natário, Geostatistical Sampling Designs Under Preferential Sampling for Black Scabbardfish
C. Goldstein, R. Bispo, Miguel Espinosa, Modeling Residential Adoption of Solar Photovoltaic Systems
D. Pereira, A. Afonso, Comparison of Semiparametric Approaches to Two-way ANOVA in the Presence of Heteroscedastity
P. Infante, A. Afonso, G. Jacinto, L. Rego, P. Nogueira, M. Silva, V. Nogueira, J. Saias, P. Quaresma, D. Santos, P. Góis, P. Rebelo Manuel, Some Determinants for Road Accidents Severity in the District of Setúbal
J. Malato, L. Graça, N. Sepulveda, Impact of Misclassification and Imperfect Serological Tests in Association Analyses of ME/CFS Applied to COVID-19 data
A. Fonseca, C. Cordeiro, N. Sepulveda, Identification of Immune Responses Predictive of Clinical Protection Against Malaria
V. Velasco-Pardo, M. Papathomas, A. Lynch, Statistical Challenges in Mutational Signature Analyses of Cancer Sequencing Data
A. Lynch, M. Smith, M. Eldridge, S. Tavaré, PCR Duplicate Proportion Estimation and Consequences for DNA Copy Number Calculations
R. São João, A. Cardoso, T. Dias Domingues, M. Fradinho, V. Silva, A. Feliciano, A Retrospective Study on Obstructive Sleep Apnea
R. Sousa, I. Pereira, M. E. Silva, Censored Multivariate Linear Regression Model
A. Carvalho, D. Vaz, T. Silva, C. Casaca, A Methodology to Reveal Terrain Effects from Wind Farm SCADA Data Using a Wind Signature Sousa Concept
M. C. Miranda, Robust FGLS estimator for Panel Data
I. Sousa-Ferreira, C. Rocha, A. M. Abreu, The Extended Chen–Poisson Marginal Rate Model for Recurrent Gap Time Data
E. Bernieri, Miguel de Carvalho, On Classical Measurement Error Within a Bayesian Nonparametric Framework
N. Sepúlveda, How to Increase the Visibility of Statisticians in the Modern World of Dataism?
M. Souto de Miranda, M. C. Miranda, M. I. Gomes, A Robust Hurdle Poisson Model in the Estimation of the Extremal Index
F. Caeiro, Maria Ivette Gomes, Computational Study of the Adaptive Estimation of the Extreme Value Index with Probability Weighted Moments
1. MiRNA-Gene Activity Interaction Networks (miGAIn): Integrated joint models of miRNA-gene targeting and disturbance in signal processing
2. Feature Screening for Ultrahigh-Dimensional Regression with Error-Prone Varables
3. Cosine Distribution in the Post-selection Inference of Least Angle Regression
4. Learning Finite Gaussian Mixture via Wasserstein Distance
5. An Entropy-based Method with Word Embedding Clustering for Comment Ranking
6. Estimation in Functional Linear Model with Incomplete Functional Observations
7. A Flexible Linear Single Index Proportional Hazards Regression Model for Multivariate Survival Data
8. Efficient Estimation of Semiparametric Linear Transformation Model with Left-Truncated and Current Status Data
9. Flexible Transformations for Modeling Compositional Data
10. Identifiability and Estimation of Autoregressive ARCH Models with Measurement Error
11. Modal Regression for Skewed, Truncated, or Contaminated Data with Outliers
12. Spatial Multilevel Modeling in the Galveston Bay Recovery Study Survey
13. Efficient Experimental Design for Regularized Linear Models
14. A Selective Overview of Statistical Models for Identification of Treatment-sensitive Subset
15. Analysis of Discrete Compositional Series While Accounting for Informative Time-dependent Cluster Sizes with Application to Air Pollution Related Emergency Room Visits
1. MiRNA-Gene Activity Interaction Networks (miGAIn): Integrated joint models of miRNA-gene targeting and disturbance in signal processing
2. Feature Screening for Ultrahigh-Dimensional Regression with Error-Prone Varables
3. Cosine Distribution in the Post-selection Inference of Least Angle Regression
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