
ISSN 1932-6157 (print) ISSN 1941-7330 (online) THE ANNALS of APPLIED STATISTICS AN OFFICIAL JOURNAL OF THE INSTITUTE OF MATHEMATICAL STATISTICS Articles Editorial.....................................................SUSAN M. PADDOCK 1921 Spatial accessibility of pediatric primary healthcare: Measurement and inference MALLORY NOBLES,NICOLETA SERBAN AND JULIE SWANN 1922 Discussion...................................................LAURA A. HATFIELD 1947 Discussion.................................................AMELIA M. HAVILAND 1952 Discussion.....................................................LANCE A. WALLER 1956 Rejoinder...............MALLORY NOBLES,NICOLETA SERBAN AND JULIE SWANN 1961 Reconstructing past temperatures from natural proxies and estimated climate forcings using short- and long-memory models LUIS BARBOZA,BO LI,MARTIN P. T INGLEY AND FREDERI G. VIENS 1966 Equivalence testing for functional data with an application to comparing pulmonary functiondevices.....................COLIN B. FOGARTY AND DYLAN S. SMALL 2002 A multiple filter test for the detection of rate changes in renewal processes with varying variance.........MICHAEL MESSER,MARIETTA KIRCHNER,JULIA SCHIEMANN, JOCHEN ROEPER,RALPH NEININGER AND GABY SCHNEIDER 2027 Bayesian protein structure alignment . ABEL RODRIGUEZ AND SCOTT C. SCHMIDLER 2068 Isolation in the construction of natural experiments JOSÉ R. ZUBIZARRETA,DYLAN S. SMALL AND PAUL R. ROSENBAUM 2096 Global estimation of child mortality using a Bayesian B-spline Bias-reduction model LEONTINE ALKEMA AND JIN ROU NEW 2122 Imputation of truncated p-values for meta-analysis methods and its genomic application SHAOWU TANG,YING DING,ETIENNE SIBILLE,JEFFREY S. MOGIL, WILLIAM R. LARIVIERE AND GEORGE C. TSENG 2150 Longitudinal high-dimensional principal components analysis with application to diffusion tensor imaging of multiple sclerosis VADIM ZIPUNNIKOV,SONJA GREVEN,HAOCHANG SHOU,BRIAN S. CAFFO, DANIEL S. REICH AND CIPRIAN M. CRAINICEANU 2175 A novel spectral method for inferring general diploid selection from time series genetic data...........MATTHIAS STEINRÜCKEN,ANAND BHASKAR AND YUN S. SONG 2203 Spatio-temporal modelling of extreme storms . THEODOROS ECONOMOU, DAV I D B. STEPHENSON AND CHRISTOPHER A. T. FERRO 2223 Voronoi residual analysis of spatial point process models with applications to California earthquake forecasts . ...........................ANDREW BRAY,KA WONG, CHRISTOPHER D. BARR AND FREDERIC PAIK SCHOENBERG 2247 Longitudinal Mixed Membership trajectory models for disability survey data DANIEL MANRIQUE-VALLIER 2268 A fast algorithm for detecting gene–gene interactions in genome-wide association studies.................JIAHAN LI,WEI ZHONG,RUNZE LI AND RONGLING WU 2292 continued Vol. 8, No. 4—December 2014 ISSN 1932-6157 (print) ISSN 1941-7330 (online) THE ANNALS of APPLIED STATISTICS AN OFFICIAL JOURNAL OF THE INSTITUTE OF MATHEMATICAL STATISTICS Articles—Continued from front cover A permutational-splitting sample procedure to quantify expert opinion on clusters of chemical compounds using high-dimensional data ELASMA MILANZI,ARIEL ALONSO,CHRISTOPHE BUYCK, GEERT MOLENBERGHS AND LUC BIJNENS 2319 The use of covariates and random effects in evaluating predictive biomarkers under a potential outcome framework ZHIWEI ZHANG,LEI NIE,GUOXING SOON AND AIYI LIU 2336 Evaluating epoetin dosing strategies using observational longitudinal data CECILIA A. COTTON AND PATRICK J. HEAGERTY 2356 Synthesising evidence to estimate pandemic (2009) A/H1N1 influenza severity in 2009–2011 . ANNE M. PRESANIS,RICHARD G. PEBODY,PAUL J. BIRRELL, BRIAN D. M. TOM,HELEN K. GREEN,HAYLEY DURNALL, DOUGLAS FLEMING AND DANIELA DE ANGELIS 2378 Detecting duplicates in a homicide registry using a Bayesian partitioning approach MAURICIO SADINLE 2404 Functional response additive model estimation with online virtual stock markets YINGYING FAN,NATASHA FOUTZ,GARETH M. JAMES AND WOLFGANG JANK 2435 Probit models for capture–recapture data subject to imperfect detection, individual heterogeneityandmisidentification.....................BRETT T. MCCLINTOCK, LARISSA L. BAILEY,BRIAN P. D REHER AND WILLIAM A. LINK 2461 Do debit cards increase household spending? Evidence from a semiparametric causal analysisofasurvey.........................ANDREA MERCATANTI AND FAN LI 2485 Reduced-rank spatio-temporal modeling of air pollution concentrations in the Multi-Ethnic Study of Atherosclerosis and Air Pollution CASEY OLIVES,LIANNE SHEPPARD,JOHAN LINDSTRÖM,PAUL D. SAMPSON, JOEL D. KAUFMAN AND ADAM A. SZPIRO 2509 Nonparametric inference in a stereological model with oriented cylinders applied to dual phasesteel.................K.S.MCGARRITY,J.SIETSMA AND G. JONGBLOED 2538 Acknowledgment of priority Usage of the Lambert W functioninstatistics......................GEORG M. GOERG 2567 Vol. 8, No. 4—December 2014 The Annals of Applied Statistics 2014, Vol. 8, No. 4, 1921 DOI: 10.1214/14-AOAS728ED Main article DOI: 10.1214/14-AOAS728 © Institute of Mathematical Statistics, 2014 EDITORIAL: SPATIAL ACCESSIBILITY OF PEDIATRIC PRIMARY HEALTHCARE: MEASUREMENT AND INFERENCE BY SUSAN M. PADDOCK RAND Corporation REFERENCES ADAY,L.A.andANDERSEN, R. (1974). A framework for the study of access to medical care. Health Serv. Res. 9 208–220. NOBLES,M.,SERBAN,N.andSWANN, J. (2014). Spatial accessibility of pediatric primary health- care: Measurement and inference. Ann. Appl. Stat. 8 1922–1946. The Annals of Applied Statistics 2014, Vol. 8, No. 4, 1922–1946 DOI: 10.1214/14-AOAS728 © Institute of Mathematical Statistics, 2014 SPATIAL ACCESSIBILITY OF PEDIATRIC PRIMARY HEALTHCARE: MEASUREMENT AND INFERENCE1,2 BY MALLORY NOBLES,NICOLETA SERBAN AND JULIE SWANN3 Georgia Institute of Technology Although improving financial access is in the spotlight of the current U.S. health policy agenda, this alone does not address universal and compre- hensive healthcare. Affordability is one barrier to healthcare, but others such as availability and accessibility, together defined as spatial accessibility,are equally important. In this paper, we develop a measurement and modeling framework that can be used to infer the impact of policy changes on dispari- ties in spatial accessibility within and across different population groups. The underlying model for measuring spatial accessibility is optimization-based and accounts for constraints in the healthcare delivery system. The measure- ment method is complemented by statistical modeling and inference on the impact of various potential contributing factors to disparities in spatial acces- sibility. The emphasis of this study is on children’s accessibility to primary care pediatricians, piloted for the state of Georgia. We focus on disparities in accessibility between and within two populations: children insured by Med- icaid and other children. We find that disparities in spatial accessibility to pediatric primary care in Georgia are significant, and resistant to many pol- icy interventions, suggesting the need for major changes to the structure of Georgia’s pediatric healthcare provider network. REFERENCES ASSUNCAO, R. M. (2003). Space varying coefficient models for small area data. Environmetrics 14 453–473. BERMAN,S.,DOLINS, J. et al. (2002). Factors that influence the willingness of private primary care pediatricians to accept more Medicaid patients. Pediatrics 110 239–248. BRAVEMAN,P.andGRUSKIN, S. (2003). Defining equity in health. Journal of Epidemiology and Community Health 57 254–258. BUJA,A.,HASTIE,T.andTIBSHIRANI, R. (1989). Linear smoothers and additive models. Ann. Statist. 17 453–555. MR0994249 DIGGLE, P. (1985). A Kernel method for smoothing point process data. J. R. Stat. Soc. Ser. C Appl. Stat. 34 138–147. DRAKE,B.andRANK, M. R. (2009). The racial divide among American children in poverty: Re- assessing the importance of neighborhood. Children and Youth Services Review 31. FAN,J.andZHANG, J.-T. (2000). Two-step estimation of functional linear models with applications to longitudinal data. J. R. Stat. Soc. Ser. BStat. Methodol. 62 303–322. MR1749541 FISCELLA,K.andWILLIAMS, D. (2004). Health disparities based on socioeconomic inequities: Implications for urban health care. Academic Medicine 79 1139–1147. Key words and phrases. Healthcare access, optimization model, pediatric healthcare, spatial ac- cessibility, spatial-varying coefficient model. FLEURBAEY,M.andSCHOKKAERT, E. (2009). Unfair inequalities in health and health care. Journal of Health Economics 28 73–90. GELFAND,A.E.,KIM,H.-J.,SIRMANS,C.F.andBANERJEE, S. (2003). Spatial modeling with spatially varying coefficient processes. J. Amer. Statist. Assoc. 98 387–396. MR1995715 GUAGLIARDO, M. F. (2004). Spatial accessibility of primary care: Concepts, methods and chal- lenges. International Journal of Health Geographics 3 1–13. GUAGLIARDO,M.F.,RONZIO,C.R.,CHEUNG,I.,CHACKO,E.andJOSEPH, J. G., (2004). Physician accessibility: An urban case study of pediatric providers. Health Place 10 273–283. HAMBIDGE,S.,EMSERMANN, C. et al. (2007). Disparities in pediatric preventive care in the United States. Archives of Pediatric and Adolescent Medicine 161 30–36. HASTIE,T.J.andTIBSHIRANI, R. J. (1990). Generalized Additive Models. Monographs on Statis- tics and Applied Probability 43. Chapman & Hall, London. MR1082147 HASTIE,T.andTIBSHIRANI, R. (1993). Varying-coefficient models. J. R. Stat. Soc. Ser. BStat. Methodol. 55 757–796. MR1229881 HOOVER,D.R.,RICE,J.A.,WU,C.O.andYANG, L.-P. (1998). Nonparametric smoothing estimates of time-varying coefficient models with longitudinal data. Biometrika 85
Details
-
File Typepdf
-
Upload Time-
-
Content LanguagesEnglish
-
Upload UserAnonymous/Not logged-in
-
File Pages88 Page
-
File Size-