Content
June 2020, Volume 183, Issue 3
- 983-1004 A novel approach to latent class modelling: identifying the various types of body mass index individuals
by Sarah Brown & William Greene & Mark Harris - 1005-1027 Quantifying the association between discrete event time series with applications to digital forensics
by Christopher Galbraith & Padhraic Smyth & Hal S. Stern - 1029-1050 A multilevel structural equation model for the interrelationships between multiple latent dimensions of childhood socio‐economic circumstances, partnership transitions and mid‐life health
by Yajing Zhu & Fiona Steele & Irini Moustaki - 1051-1073 Spatial confounding in hurdle multilevel beta models: the case of the Brazilian Mathematical Olympics for Public Schools
by João B. M. Pereira & Widemberg S. Nobre & Igor F. L. Silva & Alexandra M. Schmidt - 1075-1096 A placebo design to detect spillovers from an education–entertainment experiment in Uganda
by Anna M. Wilke & Donald P. Green & Jasper Cooper - 1097-1119 Freight rates in downside and upside markets: pricing of own and spillover risks from other shipping segments
by Panayiotis Theodossiou & Dimitris Tsouknidis & Christos Savva - 1121-1143 Selecting a scale for spatial confounding adjustment
by Joshua P. Keller & Adam A. Szpiro - 1145-1166 New statistical metrics for multisite replication projects
by Maya B. Mathur & Tyler J. VanderWeele - 1167-1187 Longevity forecasting by socio‐economic groups using compositional data analysis
by S⊘ren Kjærgaard & Yunus Emre Ergemen & Marie‐Pier Bergeron‐Boucher & Jim Oeppen & Malene Kallestrup‐Lamb - 1189-1210 Multilevel network meta‐regression for population‐adjusted treatment comparisons
by David M. Phillippo & Sofia Dias & A. E. Ades & Mark Belger & Alan Brnabic & Alexander Schacht & Daniel Saure & Zbigniew Kadziola & Nicky J. Welton - 1211-1230 Temporal disaggregation of overlapping noisy quarterly data: estimation of monthly output from UK value‐added tax data
by Paul Labonne & Martin Weale - 1231-1251 Model‐based clustering and analysis of life history data
by Marc A. Scott & Kaushik Mohan & Jacques‐Antoine Gauthier - 1253-1272 A causal inference framework for cancer cluster investigations using publicly available data
by Rachel C. Nethery & Yue Yang & Anna J. Brown & Francesca Dominici - 1273-1291 A functional approach to small area estimation of the relative median poverty gap
by Enrico Fabrizi & Maria Rosaria Ferrante & Carlo Trivisano - 1293-1311 Improving external validity of epidemiologic cohort analyses: a kernel weighting approach
by Lingxiao Wang & Barry I. Graubard & Hormuzd A. Katki & and Yan Li
February 2020, Volume 183, Issue 2
- 411-430 Knowing the signs: a direct and generalizable motivation of two‐sided tests
by Kenneth Rice & Tyler Bonnett & Chloe Krakauer - 431-448 A new standard for the analysis and design of replication studies
by Leonhard Held - 471-492 Identifying the effect of public holidays on daily demand for gas
by Sarah E. Heaps & Malcolm Farrow & Kevin J. Wilson - 493-513 Modelling the socio‐economic determinants of fertility: a mediation analysis using the parametric g‐formula
by Maarten J. Bijlsma & Ben Wilson - 515-534 A quantitative framework to inform extrapolation decisions in children
by Ian Wadsworth & Lisa V. Hampson & Thomas Jaki & Graeme J. Sills & Anthony G. Marson & Richard Appleton - 535-563 A Bayesian spatial categorical model for prediction to overlapping geographical areas in sample surveys
by K. Shuvo Bakar & Nicholas Biddle & Philip Kokic & Huidong Jin - 565-580 The hot hand in professional darts
by Marius Ötting & Roland Langrock & Christian Deutscher & Vianey Leos‐Barajas - 581-605 Information asymmetry and leverage adjustments: a semiparametric varying‐coefficient approach
by Man Jin & Shunan Zhao & Subal C. Kumbhakar - 607-629 A Bayesian parametric approach to handle missing longitudinal outcome data in trial‐based health economic evaluations
by Andrea Gabrio & Michael J. Daniels & Gianluca Baio - 631-654 Inferring the outcomes of rejected loans: an application of semisupervised clustering
by Zhiyong Li & Xinyi Hu & Ke Li & Fanyin Zhou & Feng Shen - 655-679 Crime against women in India: unveiling spatial patterns and temporal trends of dowry deaths in the districts of Uttar Pradesh
by G. Vicente & T. Goicoa & P. Fernandez‐Rasines & M. D. Ugarte - 681-688 Can genetics reveal the causes and consequences of educational attainment?
by Marcus Munafò & Neil M. Davies & George Davey Smith
January 2020, Volume 183, Issue 1
- 3-36 The effect of general health checks on healthcare utilization: accounting for self‐selection bias
by Sungwook Yoon & Duk Bin Jun & Sungho Park - 37-59 Improved secondary analysis of linked data: a framework and an illustration
by Ray Chambers & Andrea Diniz da Silva - 61-90 A data‐driven supply‐side approach for estimating cross‐border Internet purchases within the European Union
by Q. A. Meertens & C. G. H. Diks & H. J. van den Herik & F. W. Takes - 91-119 UK regional nowcasting using a mixed frequency vector auto‐regressive model with entropic tilting
by Gary Koop & Stuart McIntyre & James Mitchell - 121-148 Data‐driven transformations in small area estimation
by Natalia Rojas‐Perilla & Sören Pannier & Timo Schmid & Nikos Tzavidis - 149-167 Tracking the evolution of literary style via Dirichlet–multinomial change point regression
by Gordon J. Ross - 169-192 Spatial hedonic modelling adjusted for preferential sampling
by Lucia Paci & Alan E. Gelfand & and María Asunción Beamonte & Pilar Gargallo & Manuel Salvador - 193-209 Adjusting trial results for biases in meta‐analysis: combining data‐based evidence on bias with detailed trial assessment
by K. M. Rhodes & J. Savović & R. Elbers & H. E. Jones & J. P. T. Higgins & J. A. C. Sterne & N. J. Welton & R. M. Turner - 211-228 Productivity, infrastructure and urban density—an allometric comparison of three European city regions across scales
by Hadi Arbabi & Martin Mayfield & Philip McCann - 229-250 Parametric modelling of M‐quantile regression coefficient functions with application to small area estimation
by Paolo Frumento & Nicola Salvati - 251-280 ‘What drives commuter behaviour?': a Bayesian clustering approach for understanding opposing behaviours in social surveys
by Laura C. Dawkins & Daniel B. Williamson & Stewart W. Barr & Sally R. Lampkin - 281-310 Estimation of proportions in small areas: application to the labour force using the Swiss Census Structural Survey
by Isabel Molina & Ewa Strzalkowska‐Kominiak - 311-332 Regression‐with‐residuals estimation of marginal effects: a method of adjusting for treatment‐induced confounders that may also be effect modifiers
by Geoffrey T. Wodtke & Zahide Alaca & Xiang Zhou - 333-354 Inclusion of time‐varying covariates in cure survival models with an application in fertility studies
by Philippe Lambert & Vincent Bremhorst - 355-377 Optimally balanced Gaussian process propensity scores for estimating treatment effects
by Brian G. Vegetabile & Daniel L. Gillen & Hal S. Stern - 379-402 Outcome‐dependent sampling in cluster‐correlated data settings with application to hospital profiling
by Glen McGee & Jonathan Schildcrout & Sharon‐Lise Normand & Sebastien Haneuse - 404-404 Regression Analysis in Medical Research for Starters and 2nd Levelers
by Kuldeep Kumar - 404-405 Foundations of Info‐metrics: Modeling, Inference, and Imperfect Information
by Rosa Bernardini Papalia - 405-405 Practical R for Mass Communication and Journalism
by Thomas King - 405-406 Classification, (Big) Data Analysis and Statistical Learning
by Kuldeep Kumar - 406-406 A Multivariate Claim Count Model for Applications in Insurance
by Morteza Aalabaf‐Sabaghi - 406-407 Philogenetic Inference, Selection Theory, and History of Science
by R Allan Reese - 407-407 The Beauty of Mathematics in Computer Science
by Johnny Hopkins
October 2019, Volume 182, Issue 4
- 1121-1137 Pigeonholes and mustard seeds: growing capacity to use data for society
by Deborah Ashby - 1139-1142 Preface to the papers on ‘Credit risk modelling’
by Jonathan Crook & Tony Bellotti & Christophe Mues & Ana‐Maria Fuertes - 1143-1162 Prediction of default probability by using statistical models for rare events
by Emmanuel O. Ogundimu - 1163-1188 A joint scoring model for peer‐to‐peer and traditional lending: a bivariate model with copula dependence
by Raffaella Calabrese & Silvia Angela Osmetti & Luca Zanin - 1189-1204 Non‐parametric predictive inference for the validation of credit rating systems
by T. Coolen‐Maturi & F. P. A. Coolen - 1205-1226 The effect of interfirm financial transactions on the credit risk of small and medium‐sized enterprises
by Veronica Vinciotti & Elisa Tosetti & Francesco Moscone & Mark Lycett - 1227-1246 Retail credit scoring using fine‐grained payment data
by Ellen Tobback & David Martens - 1247-1266 Modelling the loss given default distribution via a family of zero‐and‐one inflated mixture models
by Salvatore D. Tomarchio & Antonio Punzo - 1267-1286 Exposure at default without conversion factors—evidence from Global Credit Data for large corporate revolving facilities
by Mark Thackham & Jun Ma - 1287-1311 The law of equal opportunities or unintended consequences?: The effect of unisex risk assessment in consumer credit
by Galina Andreeva & Anna Matuszyk - 1313-1342 Semiparametric mixed effects models for unsupervised classification of Italian schools
by Chiara Masci & Anna Maria Paganoni & Francesca Ieva - 1343-1370 Multisite causal mediation analysis in the presence of complex sample and survey designs and non‐random non‐response
by Xu Qin & Guanglei Hong & Jonah Deutsch & Edward Bein - 1371-1391 An embedded experiment for targeted non‐response follow‐up in establishment surveys
by Stephen J. Kaputa & Katherine Jenny Thompson & Jennifer L. Beck - 1393-1409 The analysis and forecasting of tennis matches by using a high dimensional dynamic model
by P. Gorgi & S. J. Koopman & R. Lit - 1411-1437 What did you really earn last year?: explaining measurement error in survey income data
by Stefan Angel & Franziska Disslbacher & Stefan Humer & Matthias Schnetzer - 1439-1462 A unit level small area model with misclassified covariates
by Serena Arima & Silvia Polettini - 1463-1486 Estimating the number of serious road injuries per vehicle type in the Netherlands by using multiple imputation of latent classes
by Laura Boeschoten & Ton de Waal & Jeroen K. Vermunt - 1487-1501 On the estimation of population size from a dependent triple‐record system
by Kiranmoy Chatterjee & Prajamitra Bhuyan - 1503-1521 Flexible (panel) regression models for bivariate count–continuous data with an insurance application
by Yang Lu - 1523-1560 A Bayesian approach to developing a stochastic mortality model for China
by Johnny Siu‐Hang Li & Kenneth Q. Zhou & Xiaobai Zhu & Wai‐Sum Chan & Felix Wai‐Hon Chan - 1561-1585 Practical causal analysis for the treatment timing effect on doubly censored duration: effect of fertility on work span
by Nikolay Angelov & Per Johansson & Myoung‐jae Lee - 1587-1605 Creating a linked consumer register for granular demographic analysis
by Guy Lansley & Wen Li & Paul A. Longley - 1607-1632 A latent class growth model for migrants’ remittances: an application to the German Socio‐Economic Panel
by Silvia Bacci & Francesco Bartolucci & Giulia Bettin & Claudia Pigini - 1633-1634 Edward Hugh Simpson, 1922–2019
by Ralph Erskine - 1634-1636 Michael Arthur Stephens, 1927–2019
by Richard Lockhart - 1636-1637 Graham Dunn, 1949–2019
by Andrew Pickles - 1637-1639 Richard James Boys, 1960–2019
by Robin Henderson & John Matthews & Darren Wilkinson - 1639-1641 John Clifford Gower, 1930–2019
by Gavin Ross - 1641-1642 Jeffrey Thomas Wood, 1942–2019
by Warren Müller & Mark Westcott - 1644-1644 Bayesian Data Analysis for Animal Scientists: the Basics
by Kevin McConway - 1644-1645 Likelihood Methods in Biology and Ecology: a Modern Approach to Statistics
by Stanley Lazic - 1645-1646 War Stories from the Drug Survey (How Culture, Politics, and Statistics Shaped the National Survey on Drug Use and Health)
by Sheila Bird - 1646-1647 Handbook of Big Data Analytics
by Shalabh - 1647-1647 Modern Statistics for Modern Biology
by R. Allan Reese - 1648-1648 The Politics of Big Data: Big Data, Big Brother?
by Tom King - 1648-1649 Reliability and Availability Engineering: Modeling, Analysis, and Applications
by Ilias Iliadis
June 2019, Volume 182, Issue 3
- 719-754 A comparison of sample survey measures of earnings of English graduates with administrative data
by Jack Britton & Neil Shephard & Anna Vignoles - 755-803 A comprehensive approach to problems of performance measurement
by N. I. Fisher - 805-830 A Bayesian semiparametric approach for trend–seasonal interaction: an application to migration forecasts
by Alice Milivinti & Giacomo Benini - 831-861 Spillovers from US monetary policy: evidence from a time varying parameter global vector auto‐regressive model
by Jesús Crespo Cuaresma & Gernot Doppelhofer & Martin Feldkircher & Florian Huber - 863-886 A scenario analysis of future Hong Kong age and labour force profiles and its implications
by Chris J. Lloyd & Raymond Kwok & Paul S. F. Yip - 887-917 Multivariate stochastic volatility with large and moderate shocks
by Marwan Izzeldin & Mike G. Tsionas & Panayotis G. Michaelides - 919-942 A semiparametric spatiotemporal Hawkes‐type point process model with periodic background for crime data
by Jiancang Zhuang & Jorge Mateu - 943-961 On probability distributions of the operational law of container liner ships
by Yunting Song & Nuo Wang - 963-982 Adaptive design in surveys and clinical trials: similarities, differences and opportunities for cross‐fertilization
by Michael Rosenblum & Peter Miller & Benjamin Reist & Elizabeth A. Stuart & Michael Thieme & Thomas A. Louis - 983-1002 Bayesian modelling for binary outcomes in the regression discontinuity design
by Sara Geneletti & Federico Ricciardi & Aidan G. O’Keeffe & Gianluca Baio - 1003-1016 Spatiotemporal auto‐regressive model for origin–destination air passenger flows
by Keunseo Kim & Vinnam Kim & Heeyoung Kim - 1017-1037 Classifying industries into types of relative concentration
by Ludwig von Auer & Andranik Stepanyan & Mark Trede - 1039-1060 Pollution state modelling for Mexico City
by Philip A. White & Alan E. Gelfand & Eliane R. Rodrigues & Guadalupe Tzintzun - 1061-1080 Estimating the changing nature of Scotland's health inequalities by using a multivariate spatiotemporal model
by Eilidh Jack & Duncan Lee & Nema Dean - 1081-1095 Confidence in risk assessments
by Jonathan Rougier - 1108-1108 Ethical Reasoning in Big Data: an Exploratory Analysis
by Thomas King - 1108-1109 Multistate Models for the Analysis of Life History Data
by Morteza Aalabaf‐Sabaghi - 1109-1109 Applied Probability: from Random Sequences to Stochastic Processes
by John Haigh - 1109-1110 Data Visualization
by Allan Reese - 1110-1113 Handbook of Item Response Theory, vols 1–3
by Dougal Hutchison - 1113-1114 The Ethics of Biomedical Big Data
by Thomas King - 1114-1115 Statistical Process Control
by Martin G. Gibson - 1115-1115 Bayesian Regression Modeling with INLA
by Stanley Lazic
February 2019, Volume 182, Issue 2
- 379-387 Visualizing spatiotemporal models with virtual reality: from fully immersive environments to applications in stereoscopic view
by Stefano Castruccio & Marc G. Genton & Ying Sun - 389-402 Visualization in Bayesian workflow
by Jonah Gabry & Daniel Simpson & Aki Vehtari & Michael Betancourt & Andrew Gelman - 403-418 Graphics for uncertainty
by Adrian W. Bowman - 443-466 The predictive power of subjective probabilities: probabilistic and deterministic polling in the Dutch 2017 election
by Jochem de Bresser & Arthur van Soest - 467-493 Polling bias and undecided voter allocations: US presidential elections, 2004–2016
by Joshua J. Bon & Timothy Ballard & Bernard Baffour - 495-516 A dynamic inhomogeneous latent state model for measuring material deprivation
by Francesco Dotto & Alessio Farcomeni & Maria Grazia Pittau & Roberto Zelli - 517-539 Embedding as a pitfall for survey‐based welfare indicators: evidence from an experiment
by Clemens Hetschko & Louisa von Reumont & Ronnie Schöb - 541-558 Modelling preference data with the Wallenius distribution
by Clara Grazian & Fabrizio Leisen & Brunero Liseo - 559-582 Brexit and foreign investment in the UK
by Nigel Driffield & Michail Karoglou - 583-604 Political rhetoric through the lens of non‐parametric statistics: are our legislators that different?
by Iliyan R. Iliev & Xin Huang & Yulia R. Gel - 605-621 Worker absenteeism: peer influences, monitoring and job flexibility
by Per Johansson & Arizo Karimi & J. Peter Nilsson - 623-645 Information‐anchored sensitivity analysis: theory and application
by Suzie Cro & James R. Carpenter & Michael G. Kenward - 647-668 Multiperil rate making for property insurance using longitudinal data
by Lu Yang & Peng Shi - 669-687 Experimental evaluation of mail questionnaires in a probability sample on victimization
by J. Michael Brick & Sharon Lohr - 689-711 Bayesian forecasting of mortality rates by using latent Gaussian models
by Angelos Alexopoulos & Petros Dellaportas & Jonathan J. Forster - 714-714 Large Covariance and Autocovariance Matrices; Patterned Random Matrices
by Jonathan Gillard - 714-715 Bulk Collection: Systematic Government Access to Private‐sector Data
by Tom King - 715-716 A Practical Guide to Age–Period–Cohort Analysis: the Identification Problem and Beyond
by Morteza Aalabaf‐Sabaghi - 716-716 Linear Models and the Relevant Distributions and Matrix Algebra
by Anoop Chaturvedi
January 2019, Volume 182, Issue 1
- 3-35 The contributions of paradata and features of respondents, interviewers and survey agencies to panel co‐operation in the Survey of Health, Ageing and Retirement in Europe
by Johanna Bristle & Martina Celidoni & Chiara Dal Bianco & Guglielmo Weber - 37-68 The long‐run effect of childhood poverty and the mediating role of education
by Luna Bellani & Michela Bia - 69-99 Forecasting gross domestic product growth with large unbalanced data sets: the mixed frequency three‐pass regression filter
by Christian Hepenstrick & Massimiliano Marcellino - 101-130 A latent variable modelling approach for the pooled analysis of individual participant data on the association between depression and chlamydia infection in adolescence and young adulthood in the UK
by Artemis Koukounari & Andrew J. Copas & Andrew Pickles - 131-163 Evaluating the use of realtime data in forecasting output levels and recessionary events in the USA
by Chrystalleni Aristidou & Kevin Lee & Kalvinder Shields - 165-195 A Bayesian time varying approach to risk neutral density estimation
by Roberto Casarin & German Molina & Enrique ter Horst - 197-223 Ask your doctor whether this product is right for you: a Bayesian joint model for patient drug requests and physician prescriptions
by Bhuvanesh Pareek & Qiang Liu & Pulak Ghosh - 225-247 Bayesian semiparametric modelling of contraceptive behaviour in India via sequential logistic regressions
by Tommaso Rigon & Daniele Durante & Nicola Torelli - 249-262 Visualizing rate of change: an application to age‐specific fertility rates
by Han Lin Shang - 263-281 Participating in a panel survey changes respondents’ labour market behaviour
by Ruben L. Bach & Stephanie Eckman - 283-303 Model‐based county level crop estimates incorporating auxiliary sources of information
by Andreea L. Erciulescu & Nathan B. Cruze & Balgobin Nandram - 305-321 Misspecification of multimodal random‐effect distributions in logistic mixed models for panel survey data
by Louise Marquart & Michele Haynes - 323-344 A Bayesian approach to modelling subnational spatial dynamics of worldwide non‐state terrorism, 2010–2016
by André Python & Janine B. Illian & Charlotte M. Jones‐Todd & Marta Blangiardo - 345-372 Early illicit drug use and the age of onset of homelessness
by Duncan McVicar & Julie Moschion & Jan C. van Ours
October 2018, Volume 181, Issue 4
- 923-925 Editorial: Statistical flaws in the teaching excellence and student outcomes framework in UK higher education
by Guy Nason - 927-979 From start to finish: a framework for the production of small area official statistics
by Nikos Tzavidis & Li‐Chun Zhang & Angela Luna & Timo Schmid & Natalia Rojas‐Perilla - 981-1008 Small area estimation under informative sampling and not missing at random non‐response
by Michael Sverchkov & Danny Pfeffermann - 1009-1031 Non‐parametric evidence of second‐leg home advantage in European football
by Gery Geenens & Thomas Cuddihy - 1033-1056 Can incentives improve survey data quality in developing countries?: results from a field experiment in India
by Guy Stecklov & Alexander Weinreb & Calogero Carletto - 1057-1075 Which schools and pupils respond to educational achievement surveys?: a focus on the English Programme for International Student Assessment sample
by Gabriele B. Durrant & Sylke V. Schnepf - 1077-1104 The use of a three‐level M‐quantile model to map poverty at local administrative unit 1 in Poland
by Stefano Marchetti & Maciej Beręsewicz & Nicola Salvati & Marcin Szymkowiak & Łukasz Wawrowski - 1105-1123 A comparison of joint models for longitudinal and competing risks data, with application to an epilepsy drug randomized controlled trial
by Graeme L. Hickey & Pete Philipson & Andrea Jorgensen & Ruwanthi Kolamunnage‐Dona - 1125-1150 Continuous inference for aggregated point process data
by Benjamin M. Taylor & Ricardo Andrade‐Pacheco & Hugh J. W. Sturrock - 1151-1167 A design‐based approach to small area estimation using a semiparametric generalized linear mixed model
by Hongjian Yu & Yueyan Wang & Jean Opsomer & Pan Wang & Ninez A. Ponce - 1169-1192 Latent variable modelling with non‐ignorable item non‐response: multigroup response propensity models for cross‐national analysis
by Jouni Kuha & Myrsini Katsikatsou & Irini Moustaki - 1193-1209 Generalizing evidence from randomized trials using inverse probability of sampling weights
by Ashley L. Buchanan & Michael G. Hudgens & Stephen R. Cole & Katie R. Mollan & Paul E. Sax & Eric S. Daar & Adaora A. Adimora & Joseph J. Eron & Michael J. Mugavero - 1211-1230 Correlates of record linkage and estimating risks of non‐linkage biases in business data sets
by Jamie C. Moore & Peter W. F. Smith & Gabriele B. Durrant - 1231-1254 Inference for instrumental variables: a randomization inference approach
by Hyunseung Kang & Laura Peck & Luke Keele - 1255-1256 Tata Subba Rao, 1942–2018
by Patrick J. Laycock - 1256-1257 Derek John Pike, 1944–2018
by Robert Curnow - 1260-1260 Metric Power
by Thomas King - 1260-1261 Hurricane Climatology: a Modern Statistical Guide using R
by Isaac Dialsingh - 1261-1261 The Mata Book: a Book for Serious Programmers and Those Who Want To Be
by Baptiste Leurent - 1261-1262 Graphics for Statistics and Data Analysis with R, 2nd edn
by R. Allan Reese - 1263-1263 Teaching Statistics
by Neil Sheldon - 1263-1264 Statistical Regression and Classification: from Linear Models to Machine Learning
by Kuldeep Kumar - 1264-1265 Handbook of Applied Modelling: Non‐Gaussian and Correlated Data
by Mark Pilling
June 2018, Volume 181, Issue 3
- 555-605 Statistical challenges of administrative and transaction data
by David J. Hand - 607-608 Preface to the papers on ‘Data confidentiality and statistical disclosure control’
by Jörg Drechsler & Natalie Shlomo - 609-633 Differentially private model selection with penalized and constrained likelihood
by Jing Lei & Anne‐Sophie Charest & Aleksandra Slavkovic & Adam Smith & Stephen Fienberg - 635-647 Bayesian non‐parametric generation of fully synthetic multivariate categorical data in the presence of structural zeros
by Daniel Manrique‐Vallier & Jingchen Hu - 649-661 Generating partially synthetic geocoded public use data with decreased disclosure risk by using differential smoothing
by Harrison Quick & Scott H. Holan & Christopher K. Wikle - 663-688 General and specific utility measures for synthetic data
by Joshua Snoke & Gillian M. Raab & Beata Nowok & Chris Dibben & Aleksandra Slavkovic - 689-716 On solving endogeneity with invalid instruments: an application to investment equations
by Antonio F. Galvao & Gabriel Montes–Rojas & Jose Olmo & Suyong Song - 717-735 Smoothing mortality data: the English Life Tables, 2010–2012
by Erengul Dodd & Jonathan J. Forster & Jakub Bijak & Peter W. F. Smith - 737-756 Tracking and modelling prices using web‐scraped price microdata: towards automated daily consumer price index forecasting
by Ben Powell & Guy Nason & Duncan Elliott & Matthew Mayhew & Jennifer Davies & Joe Winton - 757-781 An assessment of the causes of the errors in the 2015 UK general election opinion polls
by Patrick Sturgis & Jouni Kuha & Nick Baker & Mario Callegaro & Stephen Fisher & Jane Green & Will Jennings & Benjamin E. Lauderdale & Patten Smith - 783-802 Factors associated with supermarket and convenience store closure: a discrete time spatial survival modelling approach
by Joshua L. Warren & Penny Gordon‐Larsen - 803-823 Autologistic models for benchmark risk or vulnerability assessment of urban terrorism outcomes
by Jingyu Liu & Walter W. Piegorsch & A. Grant Schissler & Susan L. Cutter - 825-842 Estimating onset time from longitudinal and cross‐sectional data with an application to estimating gestational age from longitudinal maternal anthropometry during pregnancy and neonatal anthropometry at birth
by Ana Maria Ortega‐Villa & Katherine L. Grantz & Paul S. Albert - 843-867 Sensitivity of treatment recommendations to bias in network meta‐analysis
by David M. Phillippo & Sofia Dias & A. E. Ades & Vanessa Didelez & Nicky J. Welton - 869-888 Bayesian joint modelling of longitudinal data on abstinence, frequency and intensity of drinking in alcoholism trials
by Eugenia Buta & Stephanie S. O’Malley & Ralitza Gueorguieva - 889-906 Effect of forced displacement on health
by Ivan Zilic - 907-909 David John Bartholomew, 1931–2017
by Celia Swan & Martin Knott - 909-910 Stanley Francis James, 1927–2017
by John Walton - 910-911 Nicholas Rodney James Fieller, 1947–2017
by Eleanor Stillman - 911-912 Walter Werner Holland, 1929–2018
by Susan Chinn - 913-914 Frank Ernest Whitehead, 1930–2018
by John Craig & John Fox - 916-916 Risk Theory: a Heavy Tail Approach
by Morteza Aalabaf‐Sabaghi - 916-916 Big Data and Social Sciences: a Practical Guide to Methods and Tools
by Kuldeep Kumar - 917-917 Bit by Bit: Social Research in the Digital Age
by Thomas King - 917-919 Foundations of Ergodic Theory
by Peter Walters
February 2018, Volume 181, Issue 2
- 323-349 ‘Making it count’: incentives, student effort and performance
by Arnaud Chevalier & Peter Dolton & Melanie Lührmann - 351-378 Legislative behaviour absent re‐election incentives: findings from a natural experiment in the Arkansas Senate
by Rocío Titiunik & Andrew Feher - 379-407 Occupation coding during the interview
by Malte Schierholz & Miriam Gensicke & Nikolai Tschersich & Frauke Kreuter - 409-440 Modelling earnings dynamics and inequality: foreign workers and inequality trends in Luxembourg, 1988–2009
by Denisa M. Sologon & Philippe Van Kerm - 441-463 Direct and indirect effects of training vouchers for the unemployed
by Martin Huber & Michael Lechner & Anthony Strittmatter - 465-486 A Bayesian spatiotemporal model to estimate long‐term exposure to outdoor air pollution at coarser administrative geographies in England and Wales
by Sabyasachi Mukhopadhyay & Sujit K. Sahu - 487-515 The effect of school spending on student achievement: addressing biases in value‐added models
by Cheti Nicoletti & Birgitta Rabe - 517-533 Multiple regression, longitudinal data and welfare in the 19th century: reflections on Yule (1899)
by Ian Plewis