Content
December 2022, Volume 185, Issue S2
- 167-169 Big data meets survey science
by Don Jang & Ana Lucía Córdova Cazar - 170-196 Intercensal updating using structure‐preserving methods and satellite imagery
by Till Koebe & Alejandra Arias‐Salazar & Natalia Rojas‐Perilla & Timo Schmid - 197-224 Neural forecasting of the Italian sovereign bond market with economic news
by Sergio Consoli & Luca Tiozzo Pezzoli & Elisa Tosetti - 225-245 Non‐participation in smartphone data collection using research apps
by Florian Keusch & Sebastian Bähr & Georg‐Christoph Haas & Frauke Kreuter & Mark Trappmann & Stephanie Eckman - 246-269 Understanding political news media consumption with digital trace data and natural language processing
by Ruben L. Bach & Christoph Kern & Denis Bonnay & Luc Kalaora - 270-287 Estimating the number of persons with HIV in jails via web scraping and record linkage
by Bonnie E. Shook‐Sa & Michael G. Hudgens & Andrew L. Kavee & David L. Rosen - 288-309 Seismonomics: Listening to the heartbeat of the economy
by Luca Tiozzo Pezzoli & Elisa Tosetti - 310-342 Analysing establishment survey non‐response using administrative data and machine learning
by Benjamin Küfner & Joseph W. Sakshaug & Stefan Zins - 343-363 Is Facebook's advertising data accurate enough for use in social science research? Insights from a cross‐national online survey
by André Grow & Daniela Perrotta & Emanuele Del Fava & Jorge Cimentada & Francesco Rampazzo & Sofia Gil‐Clavel & Emilio Zagheni & René D. Flores & Ilana Ventura & Ingmar Weber - 364-386 Evaluation of consent to link Twitter data to survey data
by Zeina Mneimneh - 387-407 Linking surveys and digital trace data: Insights from two studies on determinants of data sharing behaviour
by Henning Silber & Johannes Breuer & Christoph Beuthner & Tobias Gummer & Florian Keusch & Pascal Siegers & Sebastian Stier & Bernd Weiß - 408-436 When survey science met web tracking: Presenting an error framework for metered data
by Oriol J. Bosch & Melanie Revilla - 437-460 Pictures instead of survey questions: An experimental investigation of the feasibility of using pictures in a housing survey
by Goran Ilic & Peter Lugtig & Barry Schouten & Maarten Streefkerk & Joris Mulder & Pradeep Kumar & Seyit Höcük - 461-484 A diagnostic framework for the Bradley–Terry model
by Weichen Wu & Nynke Niezink & Brian Junker - 485-514 Predictors of becoming not in education, employment or training: A dynamic comparison of the direct and indirect determinants
by Daniel Gladwell & Gurleen Popli & Aki Tsuchiya - 515-546 Fertility, economic incentives and individual heterogeneity: Register data‐based evidence from France and Germany
by Cäcilia Lipowski & Ralf A. Wilke & Bertrand Koebel - 547-572 COVID‐19 clinical footprint to infer about mortality
by Carlos E. Rodríguez & Ramsés H. Mena - 573-589 When the ends do not justify the means: Learning who is predicted to have harmful indirect effects
by Kara E. Rudolph & Iván Díaz - 590-619 Expectile regression for multi‐category outcomes with application to small area estimation of labour force participation
by James Dawber & Nicola Salvati & Enrico Fabrizi & Nikos Tzavidis - 620-643 A probabilistic formalisation of contextual bias: From forensic analysis to systemic bias in the criminal justice system
by Maria Cuellar & Jacqueline Mauro & Amanda Luby - 644-667 Bayesian spatio‐temporal modeling for the inpatient hospital costs of alcohol‐related disorders
by Zhen Yu & Keming Yu & Wolfgang K. Härdle & Xueliang Zhang & Kai Wang & Maozai Tian - 668-691 A semi‐parametric approach to model‐based sensitivity analysis in observational studies
by Bo Zhang & Eric J. Tchetgen Tchetgen - 724-755 Multivariate mixture model for small area estimation of poverty indicators
by Agne Bikauskaite & Isabel Molina & Domingo Morales - 756-756 Sampling design and analysis
by June Elijah Simakani - 757-757 Innovative methods for rare disease drug development
by Min‐Hua Jen - 758-758 Probability, Choice and Reason
by Simon French - 759-759 Handbook of multiple comparisons
by Amit K. Chowdhry - 759-760 Review of ‘Object Oriented Data Analysis’
by Arthur Pewsey - 761-762 Random circulant matrices
by Richard H. Glendinning - 762-763 Replication and evidence factors in observational studies
by Li‐Pang Chen - 763-764 Protecting your privacy in a data‐driven world
by Stefan Stein - 764-765 Bayesian Modeling and Computation in Python Learning
by Stanley E. Lazic - 765-766 R for health data science
by Michael Greenacre - 767-767 Introduction to High‐Dimensional Statistics
by Li‐Pang Chen - 768-768 Project‐based R companion to introductory statistics
by Colin McNicholl - 769-769 Martingale methods in statistics
by Li‐Pang Chen - 770-770 Supervised Machine learning for text analysis in R
by James Todd - 771-771 Linear regression models: Applications in R
by Md. Moyazzem Hossain - 772-772 Security risk models for cyber insurance
by Morteza Aalabaf‐Sabaghi - 773-773 Subjective well‐being and social media
by Dawn Holmes - 774-774 Machine learning for knowledge discovery with R, Methodologies for Modeling, Inference and Prediction
by Amit K. Chowdhry - 775-775 Handbook of survival analysis
by Morteza Aalabaf‐Sabaghi - 776-777 Probability, statistics, and data: a fresh approach using R
by Shalabh - 777-778 Handbook of regression analysis with applications in R (second edition)
by Anoop Chaturvedi - 778-779 Artificial intelligence and causal inference
by Stanley E. Lazic - 779-780 Rank‐based methods for shrinkage and selection: With application to machine learning
by Shalabh
November 2022, Volume 185, Issue S1
- 3-4 ‘Introduction’
by Peter J. Diggle & Sylvia Richardson - 5-15 Are epidemic growth rates more informative than reproduction numbers?
by Kris V. Parag & Robin N. Thompson & Christl A. Donnelly - 16-27 On the use of the reproduction number for SARS‐CoV‐2: Estimation, misinterpretations and relationships with other ecological measures
by Nicholas P. Jewell & Joseph A. Lewnard - 28-35 Predicting epidemics and the impact of interventions in heterogeneous settings: Standard SEIR models are too pessimistic
by Luc E. Coffeng & Sake J. de Vlas - 36-38 Justin Lessler and C. Jessica E. Metcalf’s invited discussion contribution to the papers in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 Transmission: 9 June 2021
by Justin Lessler & C. Jessica E. Metcalf - 39-40 Philip D. O’Neill’s invited discussion contribution to the papers in Session 1 of the Royal Statistical Society’s Special Topic Meeting on Covid‐19 Transmission: 9 June 2021
by Philip D. O’Neill - 41-43 John Kingman’s invited discussion contribution to the papers in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 Transmission: 9 June 2021
by John Kingman - 44-46 John Dagpunar's discussion contribution to papers in Session 1 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 9 June 2021
by John Dagpunar - 47-48 Peter J. Diggle’s discussion contribution to papers in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 transmission: 9 June 2021
by Peter J. Diggle - 49-50 Lorenzo Pellis’ Discussion contribution to papers in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 transmission: 9 June 2021
by Lorenzo Pellis - 51-52 Sylvia Richardson’s discussion contribution to papers in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 transmission: 9 June 2021
by Sylvia Richardson - 53-54 Steven Riley’s discussion contribution to papers in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 transmission: 9 June 2021
by Steven Riley - 55-60 Authors’ reply to the discussion of ‘Are epidemic growth rates more informative than reproduction numbers?’ by Parag et al. in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 transmission: 9 June 2021
by Kris V. Parag & Robin N. Thompson & Christl A. Donnelly - 61-62 Authors’ reply to the discussion of ‘On the use of the reproduction number for SARS‐CoV‐2: Estimation, misinterpretations, and relationships with other ecological measures’ by Jewell & Lewnard in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 transmission: 9 June 2021
by Nicholas P. Jewell & Joseph A. Lewnard - 63-64 Authors’ reply to the discussion of ‘Predicting epidemics and the impact of interventions in heterogeneous settings: standard SEIR models are too pessimistic’ by Coffeng & de Vlas in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 transmission: 9 June 2021
by Luc E. Coffeng & Sake J. de Vlas - 65-85 Efficient Bayesian inference of instantaneous reproduction numbers at fine spatial scales, with an application to mapping and nowcasting the Covid‐19 epidemic in British local authorities
by Yee Whye Teh & Bryn Elesedy & Bobby He & Michael Hutchinson & Sheheryar Zaidi & Avishkar Bhoopchand & Ulrich Paquet & Nenad Tomasev & Jonathan Read & Peter J. Diggle - 86-95 A COVID‐19 model for local authorities of the United Kingdom
by Swapnil Mishra & James A. Scott & Daniel J. Laydon & Harrison Zhu & Neil M. Ferguson & Samir Bhatt & Seth Flaxman & Axel Gandy - 96-98 Gavin J. Gibson's invited discussion contribution to the papers in Session 2 of the Royal Statistical Society's Special Topic Meeting on Covid‐19 Transmission: 11 June 2021
by Gavin J. Gibson - 99-102 Guy Nason's invited discussion contribution to the papers in Session 2 of the Royal Statistical Society's Special Topic Meeting on Covid‐19 Transmission: 11 June 2021
by Guy Nason - 103-104 Sebastian Funk, Sam Abbott and Johannes Bracher's discussion contribution to the papers in Session 2 of the Royal Statistical Society's Special Topic Meeting on Covid‐19 Transmission: 11 June 2021
by Sebastian Funk & Sam Abbott & Johannes Bracher - 105-106 Christopher Jewell's discussion contribution to papers in Session 2 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 11 June 2021
by Christopher Jewell - 107-109 Authors' reply to the discussion of ‘Efficient Bayesian Inference of Instantaneous Reproduction Numbers at Fine Spatial Scales, with an Application to Mapping and Nowcasting the Covid‐19 Epidemic in British Local Authorities’ by Teh et al. in Session 2 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 11 June 2021
by Yee Whye Teh & Bryn Elesedy & Bobby He & Michael Hutchinson & Sheheryar Zaidi & Avishkar Bhoopchand & Ulrich Paquet & Ne‐nad Tomasev & Jonathan Read & Peter J. Diggle - 110-111 Authors' reply to the discussion of ‘A COVID‐19 Model for Local Authorities of the United Kingdom’ by Mishra et al. in Session 2 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 11 June 2021
by Swapnil Mishra & James A. Scott & Daniel J. Laydon & Harrison Zhu & Neil M. Ferguson & Samir Bhatt & Seth Flaxman & Axel Gandy - 112-130 Estimation of reproduction numbers in real time: Conceptual and statistical challenges
by Lorenzo Pellis & Paul J. Birrell & Joshua Blake & Christopher E. Overton & Francesca Scarabel & Helena B. Stage & Ellen Brooks‐Pollock & Leon Danon & Ian Hall & Thomas A. House & Matt J. Keeling & Jonathan M. Read & JUNIPER Consortium & Daniela De Angelis - 131-142 Assessing the effect of school closures on the spread of COVID‐19 in Zurich
by Maria Bekker‐Nielsen Dunbar & Felix Hofmann & Leonhard Held & the SUSPend modelling consortium - 143-144 Adam Kucharski's invited discussion contribution to the papers in Session 3 of the Royal Statistical Society's Special Topic Meeting on Covid‐19 Transmission: 11 June 2021
by Adam Kucharski - 145-146 Gianpaolo Scalia Tomba's invited discussion contribution to the papers in Session 3 of the Royal Statistical Society's Special Topic Meeting on Covid‐19 Transmission: 11 June 2021
by Gianpaolo Scalia Tomba - 147-147 Peter J. Diggle's discussion contribution to the papers in Session 3 of the Royal Statistical Society's Special Topic Meeting on Covid‐19 Transmission: 11 June 2021
by Peter J. Diggle - 148-149 Steven Riley's discussion contribution to papers in Session 3 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 11 June 2021
by Steven Riley - 150-151 Jasmina Panovska‐Griffiths' discussion contribution to papers in Session 3 of the Royal Statistical Society's special topic meeting on COVID‐19 transmission: 11 June 2021
by Jasmina Panovska‐Griffiths - 152-152 Ian Reynold's discussion contribution to papers in Session 3 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 11 June 2021
by Ian Reynolds - 153-157 Authors' reply to the discussion of ‘Estimation of reproduction numbers in real time: conceptual and statistical challenges’ by Pellis et al. in Session 3 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 11 June 2021
by Lorenzo Pellis & Paul J. Birrell & Joshua Blake & Ian Hall & Thomas A. House & Christopher E. Overton & Francesca Scarabel & Helena B. Stage & Daniela De Angelis - 158-164 Session 3 of the RSS Special Topic Meeting on Covid‐19 Transmission: Replies to the discussion
by Maria Bekker‐Nielsen Dunbar & Felix Hofmann & Leonhard Held
October 2022, Volume 185, Issue 4
- 1471-1496 Statistics in times of increasing uncertainty
by Sylvia Richardson - 1497-1498 Proposal of the vote of thanks for ‘Statistics in times of increasing uncertainty’, Sylvia Richardson's Presidential Address
by Deborah Ashby - 1499-1500 Discussion of Presidential address: Statistics in times of increasing uncertainty by Sylvia Richardson
by David Spiegelhalter - 1501-1503 Preface to the Special Issue in memory of Fred Smith and Chris Skinner
by Paul A. Smith & Peter W. F. Smith - 1504-1521 Post‐strata based on sample quantiles
by Wayne A. Fuller - 1522-1540 Analysis of clustered survey data based on two‐stage informative sampling and associated two‐level models
by Jae Kwang Kim & J.N.K. Rao & Yonghyun Kwon - 1541-1559 Secure big data collection and processing: Framework, means and opportunities
by Li‐Chun Zhang & Gustav Haraldsen - 1560-1583 Estimating monthly labour force figures during the COVID‐19 pandemic in the Netherlands
by Jan van den Brakel & Martijn Souren & Sabine Krieg - 1584-1612 Weighting, informativeness and causal inference, with an application to rainfall enhancement
by Ray Chambers & Setareh Ranjbar & Nicola Salvati & Barbara Pacini - 1613-1643 Using saturated count models for user‐friendly synthesis of large confidential administrative databases
by James Jackson & Robin Mitra & Brian Francis & Iain Dove - 1644-1662 Measuring risk of re‐identification in microdata: State‐of‐the art and new directions
by Natalie Shlomo & Chris Skinner - 1663-1678 Fitting multivariate multilevel models under informative sampling
by Pedro Luis do N. Silva & Fernando Antônio da S. Moura - 1679-1706 Estimating regional income indicators under transformations and access to limited population auxiliary information
by Nora Würz & Timo Schmid & Nikos Tzavidis - 1707-1732 Single‐month unemployment rate estimates for the Brazilian Labour Force Survey using state‐space models
by Caio Gonçalves & Luna Hidalgo & Denise Silva & Jan van den Brakel - 1733-1756 Sample design for analysis using high‐influence probability sampling
by Robert G. Clark & David G. Steel - 1757-1777 Time series modelling of repeated survey data for estimation of finite population parameters
by Danny Pfeffermann - 1778-1792 Quantifying the economic response to COVID‐19 mitigations and death rates via forecasting purchasing managers' indices using generalised network autoregressive models with exogenous variables
by Guy P. Nason & James L. Wei - 1793-1814 Small data, big time—A retrospect of the first weeks of COVID‐19
by Qingyuan Zhao - 1815-1816 Proposer of the vote of thanks and contribution to the Discussion of ‘Statistical Aspects of the Covid‐19 Pandemic’
by Ruth Studley - 1817-1819 Seconder of the vote of thanks and contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by Sheila M. Bird - 1819-1821 Tao Wang's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by Tao Wang - 1821-1822 Xiaoping Shi, Yue Zhang and Yucheng Dong's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by Xiaoping Shi & Yue Zhang & Yucheng Dong - 1823-1824 Christine P. Chai's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by Christine P. Chai - 1824-1825 Anna L. Choi and Tze Leung Lai's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by Anna L. Choi - 1826-1827 Alex R. Cook, Kwok Pui Choi and Weng Kee Wong's contribution to the ‘First Discussion Meeting on Statistical Aspects of the COVID‐19 Pandemic’
by Alex R. Cook & Kwok Pui Choi & Weng Kee Wong - 1827-1828 Peter J. Diggle's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by Peter J. Diggle - 1829-1830 Alessio Farcomeni and Marco Geraci's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by Alessio Farcomeni & Marco Geraci - 1831-1832 Shuyi Ge, Oliver Linton and Shaoran Li's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by Shuyi Ge & Oliver Linton & Shaoran Li - 1832-1833 Kingsuk Jana, Lagnajita Basu and Kaushik Jana's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by Kingsuk Jana & Lagnajita Basu & Kaushik Jana - 1833-1834 Kuldeep Kumar's first contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by Kuldeep Kumar - 1834-1835 Kuldeep Kumar's second contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by Kuldeep Kumar - 1836-1837 Shaoran Li, Oliver Linton and Shuyi Ge's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by Shaoran Li & Oliver Linton & Shuyi Ge - 1838-1839 Jorge Mateu's first contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by Jorge Mateu - 1839-1840 Jorge Mateu's second contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by Jorge Mateu - 1840-1841 Garib Nath Singh's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by Garib Nath Singh - 1841-1843 Wei Zhong, Chuang Wan and Changliang Zou's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by Wei Zhong & Chuang Wan & Changliang Zou - 1844-1846 Nason and Wei's reply to the Discussion of ‘The First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by Guy P. Nason & James L. Wei - 1846-1848 Zhao's reply to the Discussion of ‘The First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by Qingyuan Zhao - 1849-1854 Jiang, Zhao and Shao's reply to the Discussion of ‘The First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by Feiyu Jiang & Zifeng Zhao & Xiaofeng Shao - 1855-1881 Bayesian analysis of social influence
by Johan Koskinen & Galina Daraganova - 1882-1902 Adjusting misclassification using a second classifier with an external validation sample
by Jonas F. Schenkel & Li‐Chun Zhang - 1903-1930 Nearest neighbour ratio imputation with incomplete multinomial outcome in survey sampling
by Chenyin Gao & Katherine Jenny Thompson & Jae Kwang Kim & Shu Yang - 1931-1951 Using randomized rounding of linear programs to obtain unweighted natural strata that balance many covariates
by Katherine Brumberg & Dylan S. Small & Paul R. Rosenbaum - 1952-1978 Don't cross the line: Bounding the causal effect of hypergamy violation on domestic violence in India
by Punarjit Roychowdhury & Gaurav Dhamija - 1979-2006 Temporal and spatial Taylor's law: Application to Japanese subnational mortality rates
by Yang Yang & Han Lin Shang & Joel E. Cohen - 2007-2034 Modelling time to maximum competency in medical student progress tests
by Daniel McNeish & Denis Dumas & Dario Torre & Neil Rice - 2035-2072 Credit line exposure at default modelling using Bayesian mixed effect quantile regression
by Jennifer Betz & Maximilian Nagl & Daniel Rösch - 2073-2096 Poverty and inequality mapping based on a unit‐level log‐normal mixture model
by Aldo Gardini & Enrico Fabrizi & Carlo Trivisano - 2097-2120 A Bayesian hierarchical model with integrated covariate selection and misclassification matrices to estimate neonatal and child causes of death
by Amy R. Mulick & Shefali Oza & David Prieto‐Merino & Francisco Villavicencio & Simon Cousens & Jamie Perin - 2121-2155 Mapping ex ante risks of COVID‐19 in Indonesia using a Bayesian geostatistical model on airport network data
by Jacqueline D. Seufert & Andre Python & Christoph Weisser & Elías Cisneros & Krisztina Kis‐Katos & Thomas Kneib - 2156-2178 Optimising precision and power by machine learning in randomised trials with ordinal and time‐to‐event outcomes with an application to COVID‐19
by Nicholas Williams & Michael Rosenblum & Iván Díaz - 2179-2202 Assessing epidemic curves for evidence of superspreading
by Joe Meagher & Nial Friel - 2203-2233 Sparse temporal disaggregation
by Luke Mosley & Idris A. Eckley & Alex Gibberd - 2234-2276 A Bayesian multivariate hierarchical growth curve model to examine cumulative socio‐economic (dis)advantage among childless adults and parents
by Florianne C. J. Verkroost - 2282-2284 Bill McLennan (1942–2022)
by Dennis Trewin - 2284-2285 A W (Freda) Kemp (1930–2022)
by Richard Cormack - 2285-2286 Pierre Dagnelie (1933–2022)
by Geert Molenberghs - 2287-2288 Iain David Currie (1946–2022)
by Paul Eilers & Maria Durbàn - 2288-2289 Barry Anthony John Quirke (1941–2022)
by Tony Haws - 2289-2291 Ole Eiler Barndorff‐Nielsen, 1935‐2022
by Steffen Lauritzen & Michael Sørensen - 2292-2294 Norman Richard Draper (1931—2022)
by Dennis K. J. Lin - 2295-2306 Sir David Cox: 1924–2022
by Anthony C. Davison & Valerie S. Isham & Nancy M. Reid - 2307-2309 Estimation of the combined effects of ageing and seasonality on mortality risk: An application to Spain
by Jose M. Pavía & Josep Lledó
July 2022, Volume 185, Issue 3
- 747-748 A celebration of Harvey Goldstein’s lifetime contributions: Foreword
by James R. Carpenter - 748-752 A celebration of Harvey Goldstein’s lifetime contributions: Harvey Goldstein and his time at the Institute of Child Health
by T. J. Cole - 753-758 A celebration of Harvey Goldstein’s lifetime contributions: Memories of working with Harvey Goldstein on multilevel modelling methods and applications
by William J. Browne - 758-762 A celebration of Harvey Goldstein’s lifetime contributions: Memories of working with Harvey Goldstein on educational research and statistics
by George Leckie - 763-767 A celebration of Harvey Goldstein’s lifetime contributions: A journey in data linkage with Harvey Goldstein
by Katie Harron - 768-772 The future of online data collection in social surveys: Challenges, developments and applications
by Olga Maslovskaya & Bella Struminskaya & Gabriele Durrant - 773-797 From German Internet Panel to Mannheim Corona Study: Adaptable probability‐based online panel infrastructures during the pandemic
by Carina Cornesse & Ulrich Krieger & Marie‐Lou Sohnius & Marina Fikel & Sabine Friedel & Tobias Rettig & Alexander Wenz & Sebastian Juhl & Roni Lehrer & Katja Möhring & Elias Naumann & Maximiliane Reifenscheid & Annelies G. Blom - 798-821 Transitioning a panel survey from in‐person to predominantly web data collection: Results and lessons learned
by Paul P. Biemer & Kathleen Mullan Harris & Brian J. Burke & Dan Liao & Carolyn Tucker Halpern - 822-850 The impact of using the Web in a mixed‐mode follow‐up of a longitudinal birth cohort study: Evidence from the National Child Development Study
by Alissa Goodman & Matt Brown & Richard J. Silverwood & Joseph W. Sakshaug & Lisa Calderwood & Joel Williams & George B. Ploubidis - 851-871 Representativeness in six waves of CROss‐National Online Survey (CRONOS) panel
by Olga Maslovskaya & Peter Lugtig - 872-890 Innovating the collection of open‐ended answers: The linguistic and content characteristics of written and oral answers to political attitude questions
by Konstantin Gavras & Jan Karem Höhne & Annelies G. Blom & Harald Schoen - 891-915 Introducing Web in a mixed‐mode establishment survey: Effects on nonresponse
by Patrick Gleiser & Joseph W. Sakshaug & Marieke Volkert & Peter Ellguth & Susanne Kohaut & Iris Möller - 916-932 Using a responsive survey design to innovate self‐administered mixed‐mode surveys
by Tobias Gummer & Pablo Christmann & Sascha Verhoeven & Christof Wolf - 933-954 Switching from telephone to web‐first mixed‐mode data collection: Results from the Transition into Adulthood Supplement to the US Panel Study of Income Dynamics
by Narayan Sastry & Katherine A. McGonagle - 955-980 A new experiment on the use of images to answer web survey questions
by Oriol J. Bosch & Melanie Revilla & Danish Daniel Qureshi & Jan Karem Höhne - 981-1003 Do previous survey experience and participating due to an incentive affect response quality? Evidence from the CRONOS panel
by Hannah Schwarz & Melanie Revilla & Bella Struminskaya - 1004-1029 Density‐based clustering of social networks
by Giovanna Menardi & Domenico De Stefano - 1030-1048 Dynamic modelling of mortality via mixtures of skewed distribution functions
by Emanuele Aliverti & Stefano Mazzuco & Bruno Scarpa - 1049-1073 A multidimensional pairwise comparison model for heterogeneous perceptions with an application to modelling the perceived truthfulness of public statements on COVID‐19
by Qiushi Yu & Kevin M. Quinn - 1074-1114 Transnational machine learning with screens for flagging bid‐rigging cartels
by Martin Huber & David Imhof & Rieko Ishii - 1115-1149 Estimating individual treatment effects using non‐parametric regression models: A review
by Alberto Caron & Gianluca Baio & Ioanna Manolopoulou - 1150-1177 Multivariate hierarchical analysis of car crashes data considering a spatial network lattice
by Andrea Gilardi & Jorge Mateu & Riccardo Borgoni & Robin Lovelace - 1178-1215 COVID‐19 severity: A new approach to quantifying global cases and deaths
by Daniel L. Millimet & Christopher F. Parmeter - 1216-1246 Regression discontinuity designs for time‐to‐event outcomes: An approach using accelerated failure time models
by Mariam O. Adeleke & Gianluca Baio & Aidan G. O'Keeffe - 1247-1270 A modelling strategy to estimate conditional probabilities of African origins: The collapse of the Oyo Empire and the transatlantic slave trade, 1817–1836
by Ashton Wiens & Henry B. Lovejoy & Zachary Mullen & Eric A. Vance - 1271-1293 Accounting for spatial confounding in epidemiological studies with individual‐level exposures: An exposure‐penalized spline approach
by Jennifer F. Bobb & Maricela F. Cruz & Stephen J. Mooney & Adam Drewnowski & David Arterburn & Andrea J. Cook - 1294-1318 The Helsinki bike‐sharing system—Insights gained from a spatiotemporal functional model
by Andreas Piter & Philipp Otto & Hamza Alkhatib - 1319-1343 The effect of epidemic outbreak on healthcare usage: Lessons from the 2015 Middle East respiratory syndrome outbreak in South Korea
by Jinhwan Park & Duk Bin Jun & Sungho Park - 1344-1369 Life‐course perspective on personality traits and fertility with sequence analysis
by Letizia Mencarini & Raffaella Piccarreta & Marco Le Moglie - 1370-1397 Does stop and search reduce crime? Evidence from street‐level data and a surge in operations following a high‐profile crime
by Nils Braakmann - 1398-1423 An one‐factor copula mixed model for joint meta‐analysis of multiple diagnostic tests
by Aristidis K. Nikoloulopoulos - 1424-1453 Nonlinear modal regression for dependent data with application for predicting COVID‐19
by Aman Ullah & Tao Wang & Weixin Yao - 1454-1455 G. Barrie Wetherill (1932–2022)
by Shirley Coleman - 1456-1457 Niels Keiding (1944–2022)
by Per Kragh Andersen - 1459-1459 Statistical issues in drug development
by Amit K. Chowdhry - 1460-1460 Statistical learning for big dependent data
by María Dolores Ugarte - 1461-1461 Practical statistics for nursing and health care
by Md. Moyazzem Hossain - 1462-1462 Speaking against number: Heidegger, language and the politics of calculation
by Dawn Holmes - 1463-1463 Statistical thinking from scratch: A primer for scientists
by Peter Cahusac - 1464-1464 Explanatory model analysis: Explore, explain, and examine predictive models
by Simon French - 1465-1468 Correction of Billé and Rogna (2021)
by Anna Gloria Billé & Marco Rogna
April 2022, Volume 185, Issue 2
- 447-470 A decision support system for addressing food security in the United Kingdom
by Martine J. Barons & Thais C. O. Fonseca & Andy Davis & Jim Q. Smith - 471-497 Estimation of the combined effects of ageing and seasonality on mortality risk: An application to Spain
by Jose M. Pavía & Josep Lledó - 498-518 Quantifying domestic violence in times of crisis: An internet search activity‐based measure for the COVID‐19 pandemic
by Dan Anderberg & Helmut Rainer & Fabian Siuda - 519-542 Pairwise comparisons as a scale development tool for composite measures
by Ginevra Floridi & Benjamin E. Lauderdale - 543-565 Asymptotic theory of principal component analysis for time series data with cautionary comments
by Xinyu Zhang & Howell Tong - 566-587 Comparing the real‐world performance of exponential‐family random graph models and latent order logistic models for social network analysis
by Duncan A. Clark & Mark S. Handcock - 588-614 Closer than they appear: A Bayesian perspective on individual‐level heterogeneity in risk assessment
by Kristian Lum & David B. Dunson & James Johndrow - 615-639 A dynamic choice model to estimate the user cost of crowding with large‐scale transit data
by Prateek Bansal & Daniel Hörcher & Daniel J. Graham - 640-676 On the reliability of multiple systems estimation for the quantification of modern slavery
by Olivier Binette & Rebecca C. Steorts - 677-698 A unique bond: Twin bereavement and lifespan associations of identical and fraternal twins
by Gerard J. van den Berg & Bettina Drepper - 699-719 Power law in COVID‐19 cases in China
by Behzod B. Ahundjanov & Sherzod B. Akhundjanov & Botir B. Okhunjanov - 720-721 Philip M. North 1949–2021
by Byron J. T. Morgan - 722-723 Derek Richard Robinson 1947–2021
by Charles M. Goldie - 724-724 Analytic Methods in Sports – Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other
by Stan Yip - 725-726 Signal Detection for Medical Scientists: Likelihood Ratio Based Test‐Based Methodology
by Anoop Chaturvedi - 726-727 Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R
by Emily Eyles