Journal of the Royal Statistical Society - Series A

Volume 184, n° 4, October 2020

  • Andrews R.M., Shpitser I., Lopez O., Longstreth W.T., Chaves P.H.M., Kuller L., Carlson M.C. - Examining the causal mediating role of brain pathology on the relationship between diabetes and cognitive impairment: the Cardiovascular Health Study, pp.  1705–1726.
  • Bickel P.J., Fisher N.I. - Willem van Zwet, 1934–2020, pp.  1823–1825.
  • Castelletti F., Consonni G. - Discovering causal structures in Bayesian Gaussian directed acyclic graph models, pp.  1727–1745.
  • Chambers R., Diamond I., Holt T., Kuha J., Pfeffermann D., Shlomo N., Silva P.N., Smith P., Steel D., Steele F. - Christopher John Skinner, 1953–2020, pp.  1819–1821.
  • Chatfield C. - Gerald Joseph Goodhardt, 1930–2020, pp.  1821–1823.
  • Corradi F., Musio M. - Causes of effects via a Bayesian model selection procedure, pp.  1777–1792.
  • Cube M. von, Schumacher M., Wolkewitz M. - Causal inference with multistate models—estimands and estimators of the population attributable fraction, pp.  1479–1500.
  • Cuellar M., Kennedy E.H. - A non-parametric projection-based estimator for the probability of causation, with application to water sanitation in Kenya, pp.  1793–1818.
  • Foraita R., Friemel J., Günther K., Behrens T., Bullerdiek J., Nimzyk R., Ahrens W., Didelez V. - Causal discovery of gene regulation with incomplete data, pp.  1747–1775.
  • Hunt L., Murimi I.B., Segal J.B., Seamans M.J., Scharfstein D.O., Varadhan R. - Brand versus generic: addressing non-adherence, secular trends and non-overlap, pp.  1461–1478.
  • Imai K., Jiang Z. - Identification and sensitivity analysis of contagion effects in randomized placebo-controlled trials, pp.  1637–1657.
  • Keele L., Harris S., Pimentel S.D., Grieve R. - Stronger instruments and refined covariate balance in an observational study of the effectiveness of prompt admission to intensive care units, pp.  1501–1521.
  • Kim C., Henneman L.R.F., Choirat C., Zigler C.M. - Health effects of power plant emissions through ambient air quality, pp.  1677–1703.
  • Licari F., Mattei A. - Assessing causal effects of extra compulsory learning on college students’ academic performances, pp.  1595–1614.
  • Lockwood J.R., McCaffrey D. - Using hidden information and performance level boundaries to study student–teacher assignments: implications for estimating teacher causal effects, pp.  1333–1362.
  • Longford N.T. - Performance assessment as an application of causal inference, pp.  1363–1385.
  • Mattei A., Stavola B.L.D., Mealli F. - Preface to the papers on ‘Causal inference from non-experimental studies: challenges, developments and applications.’ Journal of the Royal Statistical Society: Series A (Statistics in Society) 183, 1329–1332.
  • Mauro J.A., Kennedy E.H., Nagin D. - Instrumental variable methods using dynamic interventions, pp.  1523–1551.
  • Ogburn E.L., Shpitser I., Lee Y. - Causal inference, social networks and chain graphs, pp.  1659–1676.
  • Pimentel S.D., Forrow L.V., Gellar J., Li J. - Optimal matching approaches in health policy evaluations under rolling enrolment, pp.  1411–1435.
  • Resa M. de los A., Zubizarreta J.R. - Direct and stable weight adjustment in non-experimental studies with multivalued treatments: analysis of the effect of an earthquake on post-traumatic stress, pp.  1387–1410.
  • Samartsidis P., Seaman S.R., Montagna S., Charlett A., Hickman M., Angelis D.D. - A Bayesian multivariate factor analysis model for evaluating an intervention by using observational time series data on multiple outcomes, pp.  1437–1459.
  • Sanchez G.B., Hohberg M., Groll A., Kneib T. - Flexible instrumental variable distributional regression, pp.  1553–1574.
  • Saramago P., Claxton K., Welton N.J., Soares M. - 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, pp.  1575–1593.
  • Zeng S., Li F., Ding P. - Is being an only child harmful to psychological health?: evidence from an instrumental variable analysis of China’s one-child policy. pp. 1615–1635.

(résumé du n° 4/2020)

Volume 184, n° 3, June 2020

  • Nethery R. C., Yang Y., Brown A. J., Dominici F. - A causal inference framework for cancer cluster investigations using publicly available data, pp. 1253–72.
  • Fabrizi E., Ferrante M. R., Trivisano C. - A functional approach to small area estimation of the relative median poverty gap, pp. 1273–91.
  • Zhu Y., Steele F., Moustaki I. - A multilevel structural equation model for the interrelationships between multiple latent dimensions of childhood socio-economic circumstances, partnership transitions and mid-life health, pp. 1029–50.
  • Brown S., Greene W., Harris M. - A novel approach to latent class modelling: identifying the various types of body mass index individuals, pp. 983–1004.
  • Wilke A. M., Green D. P., Cooper J. - A placebo design to detect spillovers from an education–entertainment experiment in Uganda, pp. 1075–96.
  • Dendramis Y., Kapetanios G., Marcellino M. - A similarity-based approach for macroeconomic forecasting, pp. 801–27.
  • Anon. - Book reviews, pp. 1323–6.
  • Fagan B. T., Knight M. I., MacKay N. J., Wood A. J. - Change point analysis of historical battle deaths, pp. 909–33.
  • Heng S., Small D. S., Rosenbaum P. R. - Finding the strength in a weak instrument in a study of cognitive outcomes produced by Catholic high schools, pp. 935–58.
  • Ellison J., Dodd E., Forster J. J. - Forecasting of cohort fertility under a hierarchical Bayesian approach, pp. 829–56.
  • Theodossiou P., Tsouknidis D., Savva C. - Freight rates in downside and upside markets: pricing of own and spillover risks from other shipping segments, pp. 1097–119.
  • Finazzi F. - Fulfilling the information need after an earthquake: statistical modelling of citizen science seismic reports for predicting earthquake parameters in near realtime, pp. 857–82.
  • Ouali L. A. B., Graham D. J., Barron A., Trompet M. - Gender differences in the perception of safety in public transport, pp. 737–69.
  • Dagsvik J. K., Fortuna M., Moen S. H. - How does temperature vary over time?: evidence on the stationary and fractal nature of temperature fluctuations, pp. 883–908.
  • Wang L., Graubard B. I., Katki H. A., Li Y. - Improving external validity of epidemiologic cohort analyses: a kernel weighting approach, pp. 1293–311.
  • Kjærgaard S., Ergemen Y. E., Bergeron‐Boucher M.-P., Oeppen J., Kallestrup‐Lamb, M. - Longevity forecasting by socio-economic groups using compositional data analysis, pp. 1167–87.
  • Scott M. A., Mohan K., Gauthier J.-A. - Model-based clustering and analysis of life history data, pp. 1231–51.
  • Phillippo D. M., Dias S., Ades A. E., Belger M., Brnabic A., Schacht A., Saure D., Kadziola Z., Welton N. J. - Multilevel network meta-regression for population-adjusted treatment comparisons, pp. 1189–210.
  • Silverman B. W. - Multiple-systems analysis for the quantification of modern slavery: classical and Bayesian approaches, pp. 691–736.
  • Mathur M. B., VanderWeele T. J. - New statistical metrics for multisite replication projects, pp. 1145–66.
  • Elfadaly F. G., Garthwaite P. H. - On quantifying expert opinion about multinomial models that contain covariates, pp. 959–81.
  • Galbraith C., Smyth P., Stern H. S. - Quantifying the association between discrete event time series with applications to digital forensics, pp. 1005–27.
  • Keller J. P., Szpiro A. A. - Selecting a scale for spatial confounding adjustment, pp. 1121–43.
  • Jung J., Concannon C., Shroff R., Goel S., Goldstein D. G. - Simple rules to guide expert classifications, pp. 771–800.
  • Pereira J. B. M., Nobre W. S., Silva I. F. L., Schmidt A. M. - Spatial confounding in hurdle multilevel beta models: the case of the Brazilian Mathematical Olympics for Public Schools, pp. 1051–73.
  • Labonne P., Weale M. - Temporal disaggregation of overlapping noisy quarterly data: estimation of monthly output from UK value-added tax data, pp. 1211–30.

 (résumés du n° 3/2020)

Volume 184, n° 2, February 2020

  • Bakar K.S., Biddle N., Kokic P., Jin H. - A Bayesian spatial categorical model for prediction to overlapping geographical areas in sample surveys, pp. 535–563.
  • Bijlsma M.J., Wilson B. - Modelling the socio-economic determinants of fertility: a mediation analysis using the parametric g-formula, pp. 493–513.
  • Discussion on the meeting on ‘Signs and sizes:understanding and replicating statistical findings’, pp. 449–469.
  • Gabrio A., Daniels M.J., Baio, G. - A Bayesian parametric approach to handle missing longitudinal outcome data in trial-based health economic evaluations, pp. 607–629.
  • Heaps S.E., Farrow M., Wilson K.J. - Identifying the effect of public holidays on daily demand for gas, pp. 471–492.
  • Held L. - A new standard for the analysis and design of replication studies, pp. 431–448.
  • Jin M., Zhao S., Kumbhakar S.C. - Information asymmetry and leverage adjustments: a semiparametric varying-coefficient approach, pp. 581–605.
  • Li Z., Hu X., Li K., Zhou F., Shen F. - Inferring the outcomes of rejected loans: an application of semisupervised clustering, pp. 631–654.
  • Munafò M., Davies N.M., Smith G.D. - Can genetics reveal the causes and consequences of educational attainment?, pp. 681–688.
  • Ötting M., Langrock R., Deutscher C., Leos‐Barajas V. - The hot hand in professional darts, pp. 565–580.
  • Rice K., Bonnett T., Krakauer C. - Knowing the signs: a direct and generalizable motivation of two-sided tests, pp. 411–430.
  • Vicente G., Goicoa T., Fernandez‐Rasines P., Ugarte M.D. - Crime against women in India: unveiling spatial patterns and temporal trends of dowry deaths in the districts of Uttar Pradesh, pp. 655–679.
  • Wadsworth I., Hampson L.V., Jaki T., Sills G.J., Marson A.G., Appleton R. - A quantitative framework to inform extrapolation decisions in children, pp. 515–534.

Volume 183, n° 1, January 2020

  • Arbabi H., Mayfield M., McCann P. - Productivity, infrastructure and urban density—an allometric comparison of three European city regions across scales, pp. 211–228.
  • Chambers R., Silva A.D. da - Improved secondary analysis of linked data: a framework and an illustration, pp. 37–59.
  • Dawkins L.C., Williamson D.B., Barr S.W., Lampkin S.R. - ‘What drives commuter behaviour?’’: a Bayesian clustering approach for understanding opposing behaviours in social surveys.’, pp. 251–280.
  • Frumento P., Salvati N. - Parametric modelling of M-quantile regression coefficient functions with application to small area estimation, pp. 229–250.
  • Koop G., McIntyre S., Mitchell J. - UK regional nowcasting using a mixed frequency vector auto-regressive model with entropic tilting, pp. 91–119.
  • Lambert P. Bremhorst V. - Inclusion of time-varying covariates in cure survival models with an application in fertility studies, pp. 333–354.
  • McGee G., Schildcrout J., Normand S.-L., Haneuse S. - Outcome-dependent sampling in cluster-correlated data settings with application to hospital profiling, pp. 379–402.
  • Meertens Q.A., Diks C.G.H., Herik H.J. van den, Takes F.W. - A data-driven supply-side approach for estimating cross-border Internet purchases within the European Union, pp. 61–90.
  • Molina I., Strzalkowska‐Kominiak E. - Estimation of proportions in small areas: application to the labour force using the Swiss Census Structural Survey, pp. 281–310.
  • Paci L., Gelfand A.E., Beamonte M.A., Gargallo P., Salvador M. - Spatial hedonic modelling adjusted for preferential sampling, pp. 169–192.
  • Rhodes K.M., Savović J., Elbers R., Jones H.E., Higgins J.P.T., Sterne J. a. C., Welton N.J., Turner R.M. - Adjusting trial results for biases in meta-analysis: combining data-based evidence on bias with detailed trial assessment, pp. 193–209.
  • Rojas‐Perilla N., Pannier S., Schmid T., Tzavidis N. - Data-driven transformations in small area estimation, pp. 121–148.
  • Ross G.J. - Tracking the evolution of literary style via Dirichlet–multinomial change point regression, pp. 149–167.
  • Vegetabile B.G., Gillen D.L., Stern H.S. - Optimally balanced Gaussian process propensity scores for estimating treatment effects, pp. 355–377.
  • Wodtke G.T., Alaca Z., Zhou X. - Regression-with-residuals estimation of marginal effects: a method of adjusting for treatment-induced confounders that may also be effect modifiers, pp. 311–332.
  • Yoon S., Jun D.B., Park S. - The effect of general health checks on healthcare utilization: accounting for self-selection bias, pp. 3–36.

Book reviews

  • Aalabaf‐Sabaghi M. - A Multivariate Claim Count Model for Applications in InsuranceD. A. Selch M. Scherer 2019 Cham Springer Actuarial xii + 158 pp., £74.99 ISBN 978-3-319-92867-8, pp. 406–406.
  • Hopkins, J. - The Beauty of Mathematics in Computer ScienceJ. Wu2018Boca Raton Chapman and Hall–CRC 268 pp., £115 (hardbound), £29.99 (paperbound), £26.99 (e-book) ISBN 978-1-138-04960-4, pp. 407–407.
  • King, T. - Practical R for Mass Communication and JournalismS. Machlis2018Boca Raton Chapman and Hall–CRC 246 pp., £133 ($175) (hardbound), £46.99 ($59.95) (paperbound), £42.29 (e-book) ISBN 987-1-138-72691-8, pp. 405–405.
  • Kumar, K. (2020a) Classification, (Big) Data Analysis and Statistical LearningF. MolaC. ConversanoM. Vichi eds 2018Basel Springer xvi + 242 pp., £89.99 ISBN 978-3-319-55707-6, pp. 405–406.
  • Kumar, K. (2020b) Regression Analysis in Medical Research for Starters and 2nd LevelersT. J. CleophasA. H. Zwinderman2018Basel Springer xii + 426 pp., £74.50 (hardbound), £74.99 (paperbound), £59.99 (e-book) ISBN 978-3-319-71936-8, pp. 404–404.
  • Reese, R.A. - Philogenetic Inference, Selection Theory, and History of ScienceR. G. Winther ed. 2018Cambridge Cambridge University Press 540 pp., £70.00 (hardbound), £66.50 (Kindle) ISBN 978-1-107-11172-1, pp. 406–407.
  • Papalia, R.B. - Foundations of Info-metrics: Modeling, Inference, and Imperfect InformationA. Golan2018Oxford Oxford University Press 466 pp., £38.49 ISBN 978-0-199-34953-1, pp. 404–405.

(résumés du n° 1/2020)

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