Content
April 2022, Volume 185, Issue 2
- 727-728 Applied univariate, bivariate, and multivariate statistics: Understanding statistics for social and natural scientists, with applications in SPSS and R
by Md. Moyazzem Hossain - 728-729 Book review of Applied Meta‐Analysis with R and Stata
by Amit K. Chowdhry - 729-730 Bayesian analysis of infectious diseases: COVID‐19 and beyond
by Li‐Pang Chen - 731-731 Statistical and econometric methods for transportation data analysis
by Paul Hewson - 732-733 Analyzing spatial models of choice and judgment
by Anoop Chaturvedi - 733-734 Introduction to data science: Data analysis and prediction algorithms with R
by Li‐Pang Chen - 734-735 Monitoring the health of populations by tracking disease outbreaks: Saving Humanity from the Next Plague
by Catherine L. Saunders - 735-736 Modern data science with R
by Shalabh - 736-737 Univariate, bivariate and multivariate statistics using R: Quantitative tools for data analysis and data science
by Shalabh - 737-738 Meta‐analysis methods for health and experimental studies
by A.K. Md. Ehsanes Saleh - 739-739 The uncounted
by Thomas King - 740-741 Review of ‘A Computational Approach to Statistical Learning’
by Mark P. Little - 741-742 Cure models: Methods, applications and implementation
by Ash Bullement - 742-743 Theory of ridge regression estimation with applications
by Shalabh - 743-744 Statistical regression modeling with R
by Md. Moyazzem Hossain
January 2022, Volume 185, Issue 1
- 3-36 The effect of weather conditions on fertilizer applications: A spatial dynamic panel data analysis
by Anna Gloria Billé & Marco Rogna - 37-60 Pre‐apprenticeship training for young people: Estimating the marginal and average treatment effects
by Richard Dorsett & Lucy Stokes - 61-83 Analysing cause‐specific mortality trends using compositional functional data analysis
by Marco Stefanucci & Stefano Mazzuco - 84-101 An ensemble method for early prediction of dengue outbreak
by Soudeep Deb & Sougata Deb - 102-133 Improved retention analysis in freemium role‐playing games by jointly modelling players’ motivation, progression and churn
by Bikram Karmakar & Peng Liu & Gourab Mukherjee & Hai Che & Shantanu Dutta - 134-155 Estimating stochastic survey response errors using the multitrait‐multierror model
by Alexandru Cernat & Daniel L. Oberski - 156-177 Multiple system estimation using covariates having missing values and measurement error: Estimating the size of the Māori population in New Zealand
by Peter G. M. van der Heijden & Maarten Cruyff & Paul A. Smith & Christine Bycroft & Patrick Graham & Nathaniel Matheson‐Dunning - 178-201 Econometric modelling of carbon dioxide emissions and concentrations, ambient temperatures and ocean deoxygenation
by Alok Bhargava - 202-218 A downscaling approach to compare COVID‐19 count data from databases aggregated at different spatial scales
by Andre Python & Andreas Bender & Marta Blangiardo & Janine B. Illian & Ying Lin & Baoli Liu & Tim C.D. Lucas & Siwei Tan & Yingying Wen & Davit Svanidze & Jianwei Yin - 219-245 A new approach to the gender pay gap decomposition by economic activity
by María José Lombardía & Esther López‐Vizcaíno & Cristina Rueda - 246-266 A hidden Markov space–time model for mapping the dynamics of global access to food
by Francesco Bartolucci & Alessio Farcomeni - 267-301 Testing for calibration discrepancy of reported likelihood ratios in forensic science
by Jan Hannig & Hari Iyer - 302-328 Assessing hail risk for property insurers with a dependent marked point process
by Peng Shi & Glenn M. Fung & Daniel Dickinson - 329-347 Trustworthiness of statistical inference
by David J. Hand - 348-376 Using maximum simulated likelihood methods to overcome left censoring: Dynamic event history models of heart attack risk in New Zealand
by Sanghyeok Lee & Tue Gørgens - 377-399 Telescope matching for reducing model dependence in the estimation of the effects of time‐varying treatments: An application to negative advertising
by Matthew Blackwell & Anton Strezhnev - 400-424 On the interplay of regional mobility, social connectedness and the spread of COVID‐19 in Germany
by Cornelius Fritz & Göran Kauermann - 425-425 Medical Risk Prediction Models: With Ties to Machine Learning
by Stanley E. Lazic - 426-427 Statistical Rethinking: A Bayesian Course with Examples in R and Stan
by Nathan Green - 428-429 Review of statistics and the evaluation of evidence for forensic scientists
by David Banks - 430-430 Evidence‐based statistics: An introduction to the evidential approach—from likelihood principle to statistical practice
by Zoltan Dienes - 431-431 Measuring abundance
by Kuldeep Kumar - 432-433 Statistical Analysis of Financial Data: with Examples In R
by Massimiliano Caporin - 434-437 Peter Whittle, 1927–2021
by Frank Kelly - 438-440 Richard Parry‐Jones 1951‐2021
by Tim Davis - 441-442 John Michael (Mike) Haslam 1947–2021
by Peter Capell - 443-444 Corrigendum: Generalizing evidence from randomized trials using inverse probability of sampling weights
by Ashley L. Buchanan & Michael G. Hudgens
October 2021, Volume 184, Issue 4
- 1159-1160 Data science for society: Challenges, developments and applications
by Pia Hardelid & Peter Christen & Elizabeth Williamson & Katie Harron & Bianca L. De Stavola - 1161-1175 Enhancing (publications on) data quality: Deeper data minding and fuller data confession
by Xiao‐Li Meng - 1176-1198 Functional ANOVA modelling of pedestrian counts on streets in three European cities
by David Bolin & Vilhelm Verendel & Meta Berghauser Pont & Ioanna Stavroulaki & Oscar Ivarsson & Erik Håkansson - 1199-1219 Personalised need of care in an ageing society: The making of a prediction tool based on register data
by Marvin N. Wright & Sasmita Kusumastuti & Laust H. Mortensen & Rudi G. J. Westendorp & Thomas A. Gerds - 1220-1244 Spatio‐temporal mixed membership models for criminal activity
by Seppo Virtanen & Mark Girolami - 1245-1259 Using text mining to track outbreak trends in global surveillance of emerging diseases: ProMED‐mail
by Jingxian You & Paul Expert & Céire Costelloe - 1260-1282 Estimation of the prevalence of chronic kidney disease in people with diabetes by combining information from multiple routine data collections
by Angelika Geroldinger & Milan Hronsky & Florian Endel & Gottfried Endel & Rainer Oberbauer & Georg Heinze - 1283-1302 Filtering the intensity of public concern from social media count data with jumps
by Matteo Iacopini & Carlo R.M.A. Santagiustina - 1303-1325 A computationally efficient, high‐dimensional multiple changepoint procedure with application to global terrorism incidence
by S. O. Tickle & I. A. Eckley & P. Fearnhead - 1326-1346 Machine learning approaches to identify thresholds in a heat‐health warning system context
by Pierre Masselot & Fateh Chebana & Céline Campagna & Éric Lavigne & Taha B.M.J. Ouarda & Pierre Gosselin - 1347-1367 Modified Poisson regression analysis of grouped and right‐censored counts
by Qiang Fu & Tian‐Yi Zhou & Xin Guo - 1368-1389 Two‐phase sampling designs for data validation in settings with covariate measurement error and continuous outcome
by Gustavo Amorim & Ran Tao & Sarah Lotspeich & Pamela A. Shaw & Thomas Lumley & Bryan E. Shepherd - 1390-1413 Propensity score analysis for a semi‐continuous exposure variable: a study of gestational alcohol exposure and childhood cognition
by Tugba Akkaya Hocagil & Richard J. Cook & Sandra W. Jacobson & Joseph L. Jacobson & Louise M. Ryan - 1414-1451 Clustering longitudinal life‐course sequences using mixtures of exponential‐distance models
by Keefe Murphy & T. Brendan Murphy & Raffaella Piccarreta & I. Claire Gormley - 1452-1474 Using linked consumer registers to estimate residential moves in the United Kingdom
by Justin T. van Dijk & Guy Lansley & Paul A. Longley - 1475-1500 Analysis of longitudinal advice‐seeking networks following implementation of high stakes testing
by Samrachana Adhikari & Tracy Sweet & Brian Junker - 1501-1523 Domain prediction with grouped income data
by Paul Walter & Marcus Groß & Timo Schmid & Nikos Tzavidis - 1524-1548 Covariate selection for generalizing experimental results: Application to a large‐scale development program in Uganda
by Naoki Egami & Erin Hartman - 1549-1577 Social and material vulnerability in the face of seismic hazard: An analysis of the Italian case
by Oleksandr Didkovskyi & Giovanni Azzone & Alessandra Menafoglio & Piercesare Secchi - 1578-1598 Partially pooled propensity score models for average treatment effect estimation with multilevel data
by Youjin Lee & Trang Q. Nguyen & Elizabeth A. Stuart - 1599-1600 Roger David Elston (1928–2021)
by Eric Page & David A. Elston - 1600-1601 William Gilmore Stevenson (1943–2021)
by John Mallon & Vivienne Stevenson & Gilbert MacKenzie - 1602-1604 Kenneth (Ken) Ronald Walter Brewer (1931–2021)
by Stephen Horn & Raymond Chambers & William Gross - 1604-1605 David Wishart (1943–2020)
by Sarah Barker & Shirley Coleman - 1606-1607 Lars Lyberg, (1944–2021)
by Dennis Trewin - 1608-1608 A Computational Approach to Statistical Learning
by Stanley E. Lazic - 1608-1609 Bayesian cost‐effectiveness analysis of medical treatments
by Min‐Hua Jen - 1609-1610 Probability Companion for Engineering and Computer Science
by Sebastian Dietz - 1610-1611 Advanced Statistics with Applications in R
by Adrian Gepp - 1612-1612 Statistics for Data Science and Policy Analysis
by Md Moyazzem Hossain - 1613-1613 R Markdown Cookbook
by Shalabh
July 2021, Volume 184, Issue 3
- 791-811 Removing the influence of group variables in high‐dimensional predictive modelling
by Emanuele Aliverti & Kristian Lum & James E. Johndrow & David B. Dunson - 812-841 Pension eligibility rules and the local causal effect of retirement on cognitive functioning
by Eduardo Fé - 842-867 Modelling non‐linear age‐period‐cohort effects and covariates, with an application to English obesity 2001–2014
by Zoë Fannon & Christiaan Monden & Bent Nielsen - 868-886 The design of replication studies
by Larry V. Hedges & Jacob M. Schauer - 887-903 A simple framework to identify optimal cost‐effective risk thresholds for a single screen: Comparison to Decision Curve Analysis
by Hormuzd A. Katki & Ionut Bebu - 904-919 When zero may not be zero: A cautionary note on the use of inter‐rater reliability in evaluating grant peer review
by Elena A. Erosheva & Patrícia Martinková & Carole J. Lee - 920-940 A comparison of prior elicitation aggregation using the classical method and SHELF
by Cameron J. Williams & Kevin J. Wilson & Nina Wilson - 941-963 Combining non‐probability and probability survey samples through mass imputation
by Jae Kwang Kim & Seho Park & Yilin Chen & Changbao Wu - 964-984 Inequality measurement with grouped data: Parametric and non‐parametric methods
by Vanesa Jorda & José María Sarabia & Markus Jäntti - 985-1007 Multilevel time series modelling of mobility trends in the Netherlands for small domains
by Harm Jan Boonstra & Jan van den Brakel & Sumonkanti Das - 1008-1029 Linearization and variance estimation of the Bonferroni inequality index
by Ziqing Dong & Yves Tillé & Giovanni M. Giorgi & Alessio Guandalini - 1030-1051 Estimation of causal effects with small data in the presence of trapdoor variables
by Jouni Helske & Santtu Tikka & Juha Karvanen - 1052-1069 The effects of question, respondent and interviewer characteristics on two types of item nonresponse
by Henning Silber & Joss Roßmann & Tobias Gummer & Stefan Zins & Kai Willem Weyandt - 1070-1092 Long‐term spatial modelling for characteristics of extreme heat events
by Erin M. Schliep & Alan E. Gelfand & Jesús Abaurrea & Jesús Asín & María A. Beamonte & Ana C. Cebrián - 1093-1108 Generating Poisson‐distributed differentially private synthetic data
by Harrison Quick - 1109-1145 Predicting individual effects in fixed effects panel probit models
by Johannes S. Kunz & Kevin E. Staub & Rainer Winkelmann - 1146-1148 John Haigh 1941–2021
by Charles M. Goldie - 1149-1149 Michael Hills (7 June 1934–7 January 2021)
by Bianca L. De Stavola - 1150-1150 Interactive Web‐Based Data Visualization with R, plotly, and shiny
by Shalabh - 1151-1152 The Equation of Knowledge: From Bayes’ Rule to a Unified Philosophy of Science
by Simon French - 1153-1153 Dark data: Why what you don’t know matters
by Ian Jolliffe - 1154-1154 Analyzing high‐dimensional gene expression and DNA methylation data with R
by Anoop Chaturvedi - 1155-1155 Statistical inference via data science
by Shalabh
April 2021, Volume 184, Issue 2
- 407-431 Testing by betting: A strategy for statistical and scientific communication
by Glenn Shafer - 432-433 Proposer of the vote of thanks to Glenn Shafer and contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’
by Philip Dawid - 434-435 Seconder of the vote of thanks to Glenn Shafer and contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’
by Frank P. A. Coolen - 436-437 Harry Crane’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer
by Harry Crane - 437-438 Barbara Osimani’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer
by Barbara Osimani - 438-440 Aaditya Ramdas’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer
by Aaditya Ramdas - 440-441 Peter D. Grünwald’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer
by Peter D. Grünwald - 442-443 Xiao‐Li Meng’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer
by Xiao‐Li Meng - 443-444 Arthur Paul Pedersen’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer
by Arthur Paul Pedersen - 445-446 Vladimir Vovk’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer
by Vladimir Vovk - 446-447 Christian Hennig’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer
by Christian Hennig - 448-448 A distillation of the live chat during the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer
by Paul A. Smith - 449-450 Christine P. Chai’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer
by Christine P. Chai - 450-451 Sander Greenland’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer
by Sander Greenland - 452-453 Chloe Krakauer and Kenneth Rice’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer
by Chloe Krakauer & Kenneth Rice - 453-454 Kuldeep Kumar’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer
by Kuldeep Kumar - 454-455 Tze Leung Lai and Anna Choi's contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer
by Tze Leung Lai & Anna Choi - 455-456 Nick Longford’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer
by Nick Longford - 456-457 Ryan Martin’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer
by Ryan Martin - 458-458 Jorge Mateu’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer
by Jorge Mateu - 459-460 Stephen Senn’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer
by Stephen Senn - 460-461 Judith ter Schure’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer
by Judith ter Schure - 461-462 Paul Vos’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer
by Paul Vos - 463-464 Ruodu Wang’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer
by Ruodu Wang - 465-466 Priyantha Wijayatunga’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer
by Priyantha Wijayatunga - 466-478 Author's reply to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer
by Glenn Shafer - 479-493 Sample size determination for risk‐based tax auditing
by Petros Dellaportas & Evangelos Ioannidis & Christos Kotsogiannis - 494-503 Estimating event‐rates from unreliable historical records
by Jonathan Rougier - 504-521 Beyond generalization of the ATE: Designing randomized trials to understand treatment effect heterogeneity
by Elizabeth Tipton - 522-547 Linkage‐data linear regression
by Li‐Chun Zhang & Tiziana Tuoto - 548-570 Quantifying longevity gaps using micro‐level lifetime data
by Frank van Berkum & Katrien Antonio & Michel Vellekoop - 571-588 Proxy expenditure weights for Consumer Price Index: Audit sampling inference for big‐data statistics
by Li‐Chun Zhang - 589-615 Consistent aggregation with superlative and other price indices
by Ludwig von Auer & Jochen Wengenroth - 616-642 A seasonal dynamic measurement model for summer learning loss
by Daniel McNeish & Denis Dumas - 643-662 Leveraging auxiliary information on marginal distributions in nonignorable models for item and unit nonresponse
by Olanrewaju Akande & Gabriel Madson & D. Sunshine Hillygus & Jerome P. Reiter - 663-682 Exploiting new forms of data to study the private rented sector: Strengths and limitations of a database of rental listings
by Mark Livingston & Francesca Pannullo & Adrian W. Bowman & E. Marian Scott & Nick Bailey - 683-706 Nowcasting monthly GDP with big data: A model averaging approach
by Tommaso Proietti & Alessandro Giovannelli - 707-731 The effect of the Brexit referendum result on subjective well‐being
by Georgios Kavetsos & Ichiro Kawachi & Ilias Kyriopoulos & Sotiris Vandoros - 732-760 Missing, presumed different: Quantifying the risk of attrition bias in education evaluations
by Ben Weidmann & Luke Miratrix - 761-783 Health aid, governance and infant mortality
by Chris Doucouliagos & Jack Hennessy & Debdulal Mallick - 784-786 Tobias (Toby) Lewis 1918‐2020
by Vic Barnett & Kevin McConway - 787-788 Handbook of Mixture Analysis
by Virgilio Gómez‐Rubio
January 2021, Volume 184, Issue 1
- 3-30 Dynamic survival prediction combining landmarking with a machine learning ensemble: Methodology and empirical comparison
by Kamaryn T. Tanner & Linda D. Sharples & Rhian M. Daniel & Ruth H. Keogh - 31-64 Specification and testing of hierarchical ordered response models with anchoring vignettes
by William H. Greene & Mark N. Harris & Rachel J. Knott & Nigel Rice - 65-86 Estimating causal moderation effects with randomized treatments and non‐randomized moderators
by Kirk Bansak - 87-117 The effects of health on the extensive and intensive margins of labour supply
by Lixin Cai - 118-149 Measuring the impact of clean energy production on CO2 abatement in Denmark: Upper bound estimation and forecasting
by Bent Jesper Christensen & Nabanita Datta Gupta & Paolo Santucci de Magistris - 150-178 Interviewer effects and the measurement of financial literacy
by Thomas F. Crossley & Tobias Schmidt & Panagiota Tzamourani & Joachim K. Winter - 179-200 A Bayesian structural time series analysis of the effect of basic income on crime: Evidence from the Alaska Permanent Fund
by Richard Dorsett - 201-226 A dynamic separable network model with actor heterogeneity: An application to global weapons transfers
by Michael Lebacher & Paul W. Thurner & Göran Kauermann - 227-254 Did you conduct a sensitivity analysis? A new weighting‐based approach for evaluations of the average treatment effect for the treated
by Guanglei Hong & Fan Yang & Xu Qin - 255-281 Synthetic microdata for establishment surveys under informative sampling
by Hang J. Kim & Jörg Drechsler & Katherine J. Thompson - 282-300 A double machine learning approach to estimate the effects of musical practice on student’s skills
by Michael C. Knaus - 301-323 Do coefficients of variation of response propensities approximate non‐response biases during survey data collection?
by Jamie C. Moore & Gabriele B. Durrant & Peter W. F. Smith - 324-353 A dynamic factor model approach to incorporate Big Data in state space models for official statistics
by Caterina Schiavoni & Franz Palm & Stephan Smeekes & Jan van den Brakel - 354-367 On probability distributions of the time deviation law of container liner ships under interference uncertainty
by Yunting Song & Nuo Wang - 368-395 Ranking, and other properties, of elite swimmers using extreme value theory
by Harry Spearing & Jonathan Tawn & David Irons & Tim Paulden & Grace Bennett - 396-398 Mervyn Stone, 1932–2020
by Rex Galbraith - 398-399 Flavia Jolliffe 1942–2020
by Gerald Goodall - 400-400 Time series clustering and classification
by Kuldeep Kumar - 401-401 Statistics and Health Care Fraud: How to Save Billions
by Kuldeep Kumar - 401-402 R Visualizations – Derive Meaning from Data
by Sebastian Dietz - 402-403 Handbook of Financial Risk Management
by Sebastian Dietz
October 2020, Volume 183, Issue 4
- 1329-1332 Preface to the papers on ‘Causal inference from non‐experimental studies: challenges, developments and applications’
by Alessandra Mattei & Bianca L. De Stavola & Fabrizia Mealli - 1333-1362 Using hidden information and performance level boundaries to study student–teacher assignments: implications for estimating teacher causal effects
by J. R. Lockwood & D. McCaffrey - 1363-1385 Performance assessment as an application of causal inference
by Nicholas T. Longford - 1387-1410 Direct and stable weight adjustment in non‐experimental studies with multivalued treatments: analysis of the effect of an earthquake on post‐traumatic stress
by María de los Angeles Resa & José R. Zubizarreta - 1411-1435 Optimal matching approaches in health policy evaluations under rolling enrolment
by Samuel D. Pimentel & Lauren Vollmer Forrow & Jonathan Gellar & Jiaqi Li - 1437-1459 A Bayesian multivariate factor analysis model for evaluating an intervention by using observational time series data on multiple outcomes
by Pantelis Samartsidis & Shaun R. Seaman & Silvia Montagna & André Charlett & Matthew Hickman & Daniela De Angelis - 1461-1478 Brand versus generic: addressing non‐adherence, secular trends and non‐overlap
by Lamar Hunt & Irene B. Murimi & Jodi B. Segal & Marissa J. Seamans & Daniel O. Scharfstein & and Ravi Varadhan - 1479-1500 Causal inference with multistate models—estimands and estimators of the population attributable fraction
by Maja von Cube & Martin Schumacher & Martin Wolkewitz - 1501-1521 Stronger instruments and refined covariate balance in an observational study of the effectiveness of prompt admission to intensive care units
by Luke Keele & Steve Harris & Samuel D. Pimentel & Richard Grieve - 1523-1551 Instrumental variable methods using dynamic interventions
by Jacqueline A. Mauro & Edward H. Kennedy & Daniel Nagin - 1553-1574 Flexible instrumental variable distributional regression
by Guillermo Briseño Sanchez & Maike Hohberg & Andreas Groll & Thomas Kneib - 1575-1593 Bayesian econometric modelling of observational data for cost‐effectiveness analysis: establishing the value of negative pressure wound therapy in the healing of open surgical wounds
by Pedro Saramago & Karl Claxton & Nicky J. Welton & Marta Soares - 1595-1614 Assessing causal effects of extra compulsory learning on college students’ academic performances
by Federica Licari & Alessandra Mattei - 1615-1635 Is being an only child harmful to psychological health?: evidence from an instrumental variable analysis of China's one‐child policy
by Shuxi Zeng & Fan Li & Peng Ding - 1637-1657 Identification and sensitivity analysis of contagion effects in randomized placebo‐controlled trials
by Kosuke Imai & Zhichao Jiang - 1659-1676 Causal inference, social networks and chain graphs
by Elizabeth L. Ogburn & Ilya Shpitser & Youjin Lee - 1677-1703 Health effects of power plant emissions through ambient air quality
by Chanmin Kim & Lucas R. F. Henneman & Christine Choirat & Corwin M. Zigler - 1705-1726 Examining the causal mediating role of brain pathology on the relationship between diabetes and cognitive impairment: the Cardiovascular Health Study
by Ryan M. Andrews & Ilya Shpitser & Oscar Lopez & William T. Longstreth & Paulo H. M. Chaves & Lewis Kuller & Michelle C. Carlson - 1727-1745 Discovering causal structures in Bayesian Gaussian directed acyclic graph models
by Federico Castelletti & Guido Consonni - 1747-1775 Causal discovery of gene regulation with incomplete data
by Ronja Foraita & Juliane Friemel & Kathrin Günther & Thomas Behrens & Jörn Bullerdiek & Rolf Nimzyk & Wolfgang Ahrens & Vanessa Didelez - 1777-1792 Causes of effects via a Bayesian model selection procedure
by Fabio Corradi & Monica Musio - 1793-1818 A non‐parametric projection‐based estimator for the probability of causation, with application to water sanitation in Kenya
by Maria Cuellar & Edward H. Kennedy - 1819-1821 Christopher John Skinner, 1953–2020
by Ray Chambers & Ian Diamond & Tim Holt & Jouni Kuha & Danny Pfeffermann & Natalie Shlomo & Pedro Nascimento Silva & Paul Smith & David Steel & Fiona Steele - 1821-1823 Gerald Joseph Goodhardt, 1930–2020
by Chris Chatfield - 1823-1825 Willem van Zwet, 1934–2020
by P. J. Bickel & N. I. Fisher - 1828-1828 An Introduction to Data, Everything You Need to Know About AI: Big Data and Data Science
by Morteza Aalabaf‐Sabaghi - 1828-1829 Modelling Spatial and Spatial–Temporal Data: a Bayesian Approach
by Anoop Chaturvedi - 1829-1829 Statistical Data Analysis using SAS
by Sebastian Dietz - 1829-1830 Modern Adaptive Randomized Clinical Trials: Statistical and Practical Aspects
by Gian Luca Di Tanna
June 2020, Volume 183, Issue 3
- 691-736 Multiple‐systems analysis for the quantification of modern slavery: classical and Bayesian approaches
by Bernard W. Silverman - 737-769 Gender differences in the perception of safety in public transport
by Laila Ait Bihi Ouali & Daniel J. Graham & Alexander Barron & Mark Trompet - 771-800 Simple rules to guide expert classifications
by Jongbin Jung & Connor Concannon & Ravi Shroff & Sharad Goel & Daniel G. Goldstein - 801-827 A similarity‐based approach for macroeconomic forecasting
by Y. Dendramis & G. Kapetanios & M. Marcellino - 829-856 Forecasting of cohort fertility under a hierarchical Bayesian approach
by Joanne Ellison & Erengul Dodd & Jonathan J. Forster - 857-882 Fulfilling the information need after an earthquake: statistical modelling of citizen science seismic reports for predicting earthquake parameters in near realtime
by Francesco Finazzi - 883-908 How does temperature vary over time?: evidence on the stationary and fractal nature of temperature fluctuations
by John K. Dagsvik & Mariachiara Fortuna & Sigmund Hov Moen - 909-933 Change point analysis of historical battle deaths
by Brennen T. Fagan & Marina I. Knight & Niall J. MacKay & A. Jamie Wood - 935-958 Finding the strength in a weak instrument in a study of cognitive outcomes produced by Catholic high schools
by Siyu Heng & Dylan S. Small & Paul R. Rosenbaum - 959-981 On quantifying expert opinion about multinomial models that contain covariates
by Fadlalla G. Elfadaly & Paul H. Garthwaite