Int J Health Geogr - Gumbel based p-value approximations for spatial scan statistics.

Tópicos

{ model(3404) distribut(989) bayesian(671) }
{ method(1969) cluster(1462) data(1082) }
{ general(901) number(790) one(736) }
{ case(1353) use(1143) diagnosi(1136) }
{ estim(2440) model(1874) function(577) }
{ error(1145) method(1030) estim(1020) }
{ method(984) reconstruct(947) comput(926) }
{ perform(1367) use(1326) method(1137) }
{ spatial(1525) area(1432) region(1030) }
{ activ(1452) weight(1219) physic(1104) }
{ algorithm(1844) comput(1787) effici(935) }
{ extract(1171) text(1153) clinic(932) }
{ high(1669) rate(1365) level(1280) }
{ system(1976) rule(880) can(841) }
{ chang(1828) time(1643) increas(1301) }
{ control(1307) perform(991) simul(935) }
{ can(774) often(719) complex(702) }
{ data(1737) use(1416) pattern(1282) }
{ method(1219) similar(1157) match(930) }
{ network(2748) neural(1063) input(814) }
{ method(1557) propos(1049) approach(1037) }
{ model(2656) set(1616) predict(1553) }
{ can(981) present(881) function(850) }
{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }
{ inform(2794) health(2639) internet(1427) }
{ imag(2675) segment(2577) method(1081) }
{ take(945) account(800) differ(722) }
{ howev(809) still(633) remain(590) }
{ data(2317) use(1299) case(1017) }
{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
{ data(3008) multipl(1320) sourc(1022) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ analysi(2126) use(1163) compon(1037) }
{ use(1733) differ(960) four(931) }
{ imag(1947) propos(1133) code(1026) }
{ measur(2081) correl(1212) valu(896) }
{ imag(1057) registr(996) error(939) }
{ bind(1733) structur(1185) ligand(1036) }
{ sequenc(1873) structur(1644) protein(1328) }
{ featur(3375) classif(2383) classifi(1994) }
{ imag(2830) propos(1344) filter(1198) }
{ patient(2315) diseas(1263) diabet(1191) }
{ studi(2440) review(1878) systemat(933) }
{ motion(1329) object(1292) video(1091) }
{ assess(1506) score(1403) qualiti(1306) }
{ treatment(1704) effect(941) patient(846) }
{ surgeri(1148) surgic(1085) robot(1054) }
{ framework(1458) process(801) describ(734) }
{ problem(2511) optim(1539) algorithm(950) }
{ learn(2355) train(1041) set(1003) }
{ concept(1167) ontolog(924) domain(897) }
{ clinic(1479) use(1117) guidelin(835) }
{ data(1714) softwar(1251) tool(1186) }
{ design(1359) user(1324) use(1319) }
{ model(2220) cell(1177) simul(1124) }
{ care(1570) inform(1187) nurs(1089) }
{ search(2224) databas(1162) retriev(909) }
{ featur(1941) imag(1645) propos(1176) }
{ data(3963) clinic(1234) research(1004) }
{ studi(1410) differ(1259) use(1210) }
{ risk(3053) factor(974) diseas(938) }
{ perform(999) metric(946) measur(919) }
{ research(1085) discuss(1038) issu(1018) }
{ system(1050) medic(1026) inform(1018) }
{ import(1318) role(1303) understand(862) }
{ model(2341) predict(2261) use(1141) }
{ visual(1396) interact(850) tool(830) }
{ compound(1573) activ(1297) structur(1058) }
{ studi(1119) effect(1106) posit(819) }
{ blood(1257) pressur(1144) flow(957) }
{ record(1888) medic(1808) patient(1693) }
{ health(3367) inform(1360) care(1135) }
{ model(3480) simul(1196) paramet(876) }
{ monitor(1329) mobil(1314) devic(1160) }
{ ehr(2073) health(1662) electron(1139) }
{ state(1844) use(1261) util(961) }
{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ signal(2180) analysi(812) frequenc(800) }
{ cost(1906) reduc(1198) effect(832) }
{ gene(2352) biolog(1181) express(1162) }
{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
{ use(2086) technolog(871) perceiv(783) }
{ health(1844) social(1437) communiti(874) }
{ structur(1116) can(940) graph(676) }
{ cancer(2502) breast(956) screen(824) }
{ use(976) code(926) identifi(902) }
{ drug(1928) target(777) effect(648) }
{ result(1111) use(1088) new(759) }
{ implement(1333) system(1263) develop(1122) }
{ survey(1388) particip(1329) question(1065) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }

Resumo

CKGROUND: The spatial and space-time scan statistics are commonly applied for the detection of geographical disease clusters. Monte Carlo hypothesis testing is typically used to test whether the geographical clusters are statistically significant as there is no known way to calculate the null distribution analytically. In Monte Carlo hypothesis testing, simulated random data are generated multiple times under the null hypothesis, and the p-value is r/(R + 1), where R is the number of simulated random replicates of the data and r is the rank of the test statistic from the real data compared to the same test statistics calculated from each of the random data sets. A drawback to this powerful technique is that each additional digit of p-value precision requires ten times as many replicated datasets, and the additional processing can lead to excessive run times.RESULTS: We propose a new method for obtaining more precise p-values with a given number of replicates. The collection of test statistics from the random replicates is used to estimate the true distribution of the test statistic under the null hypothesis by fitting a continuous distribution to these observations. The choice of distribution is critical, and for the spatial and space-time scan statistics, the extreme value Gumbel distribution performs very well while the gamma, normal and lognormal distributions perform poorly. From the fitted Gumbel distribution, we show that it is possible to estimate the analytical p-value with great precision even when the test statistic is far out in the tail beyond any of the test statistics observed in the simulated replicates. In addition, Gumbel-based rejection probabilities have smaller variability than Monte Carlo-based rejection probabilities, suggesting that the proposed approach may result in greater power than the true Monte Carlo hypothesis test for a given number of replicates.CONCLUSIONS: For large data sets, it is often advantageous to replace computer intensive Monte Carlo hypothesis testing with this new method of fitting a Gumbel distribution to random data sets generated under the null, in order to reduce computation time and obtain much more precise p-values and slightly higher statistical power.

Resumo Limpo

ckground spatial spacetim scan statist common appli detect geograph diseas cluster mont carlo hypothesi test typic use test whether geograph cluster statist signific known way calcul null distribut analyt mont carlo hypothesi test simul random data generat multipl time null hypothesi pvalu rr r number simul random replic data r rank test statist real data compar test statist calcul random data set drawback power techniqu addit digit pvalu precis requir ten time mani replic dataset addit process can lead excess run timesresult propos new method obtain precis pvalu given number replic collect test statist random replic use estim true distribut test statist null hypothesi fit continu distribut observ choic distribut critic spatial spacetim scan statist extrem valu gumbel distribut perform well gamma normal lognorm distribut perform poor fit gumbel distribut show possibl estim analyt pvalu great precis even test statist far tail beyond test statist observ simul replic addit gumbelbas reject probabl smaller variabl mont carlobas reject probabl suggest propos approach may result greater power true mont carlo hypothesi test given number replicatesconclus larg data set often advantag replac comput intens mont carlo hypothesi test new method fit gumbel distribut random data set generat null order reduc comput time obtain much precis pvalu slight higher statist power

Resumos Similares

Res Synth Methods - Critical interpretation of Cochran's Q test depends on power and prior assumptions about heterogeneity. ( 0,763394998884168 )
Lifetime Data Anal - Bayesian nonparametric models for ranked set sampling. ( 0,751574751438707 )
Comput Math Methods Med - Bayesian inference of the Weibull model based on interval-censored survival data. ( 0,75034831152139 )
Comput. Biol. Med. - BootstRatio: A web-based statistical analysis of fold-change in qPCR and RT-qPCR data using resampling methods. ( 0,738679751766447 )
Med Decis Making - Calibration of complex models through Bayesian evidence synthesis: a demonstration and tutorial. ( 0,735375207225715 )
Comput Methods Programs Biomed - The exponentiated exponential mixture and non-mixture cure rate model in the presence of covariates. ( 0,735309591142108 )
J Biomed Inform - Learning patient-specific predictive models from clinical data. ( 0,723608743036336 )
IEEE Trans Image Process - A Bayesian framework for image segmentation with spatially varying mixtures. ( 0,710527899322711 )
Res Synth Methods - A Bayesian nonparametric meta-analysis model. ( 0,701964597633457 )
Med Decis Making - Assessing uncertainties surrounding combined endpoints for use in economic models. ( 0,699871557487215 )
Neural Comput - A semiparametric Bayesian model for detecting synchrony among multiple neurons. ( 0,699641999791796 )
Neural Comput - Markov chain Monte Carlo methods for state-space models with point process observations. ( 0,697704422364136 )
Lifetime Data Anal - Bayesian semiparametric modeling for stochastic precedence, with applications in epidemiology and survival analysis. ( 0,696407798402231 )
Spat Spatiotemporal Epidemiol - Inference from ecological models: estimating the relative risk of stroke from air pollution exposure using small area data. ( 0,69392577425884 )
J Biomed Inform - Link-topic model for biomedical abbreviation disambiguation. ( 0,691819314746925 )
Brief. Bioinformatics - Iteratively reweighted LASSO for mapping multiple quantitative trait loci. ( 0,690281414316395 )
IEEE Trans Image Process - Bayesian robust principal component analysis. ( 0,686273411737725 )
IEEE Trans Pattern Anal Mach Intell - Are Gibbs-Type Priors the Most Natural Generalization of the Dirichlet Process? ( 0,682692782459437 )
Spat Spatiotemporal Epidemiol - A Bayesian space-time model for discrete spread processes on a lattice. ( 0,681705522308472 )
Res Synth Methods - Automating network meta-analysis. ( 0,680406879206537 )
IEEE Trans Pattern Anal Mach Intell - Modeling Natural Images Using Gated MRFs. ( 0,676882580044876 )
Med Decis Making - Estimating multiparameter partial expected value of perfect information from a probabilistic sensitivity analysis sample: a nonparametric regression approach. ( 0,675897651418776 )
Spat Spatiotemporal Epidemiol - Bayesian hierarchical modeling of the dynamics of spatio-temporal influenza season outbreaks. ( 0,675281083302862 )
IEEE Trans Image Process - Variational Bayesian method for Retinex. ( 0,674454381797869 )
IEEE Trans Image Process - Blind separation of time/position varying mixtures. ( 0,673560912835972 )
IEEE Trans Neural Netw Learn Syst - Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data. ( 0,671785295437925 )
Comput Math Methods Med - Bayesian hierarchical modeling for categorical longitudinal data from sedation measurements. ( 0,671464276868755 )
Neural Comput - Efficient Markov chain Monte Carlo methods for decoding neural spike trains. ( 0,670195359422136 )
Neural Comput - Bayesian sparse partial least squares. ( 0,666844419067261 )
Neural Comput - Universal approximation depth and errors of narrow belief networks with discrete units. ( 0,664430372169437 )
J. Comput. Biol. - Computational methods for a class of network models. ( 0,662563636553957 )
Comput Methods Programs Biomed - A Bayesian multilevel model for fMRI data analysis. ( 0,65869118293692 )
Spat Spatiotemporal Epidemiol - Goodness-of-fit measures for individual-level models of infectious disease in a Bayesian framework. ( 0,656945169323184 )
J. Comput. Biol. - A spatial haplotype copying model with applications to genotype imputation. ( 0,65497289782445 )
Artif Intell Med - Impact of precision of Bayesian network parameters on accuracy of medical diagnostic systems. ( 0,654585362507676 )
Neural Comput - Causal discovery via reproducing kernel Hilbert space embeddings. ( 0,654567411012416 )
Res Synth Methods - Bayesian model selection for meta-analysis of diagnostic test accuracy data: Application to Ddimer for deep vein thrombosis. ( 0,643793685078718 )
Med Decis Making - Comparing Bayesian and frequentist approaches for multiple outcome mixed treatment comparisons. ( 0,642015214134006 )
IEEE Trans Image Process - Generative Bayesian image super resolution with natural image prior. ( 0,641482087139314 )
Comput Math Methods Med - An empirical Bayes optimal discovery procedure based on semiparametric hierarchical mixture models. ( 0,641192252628147 )
Spat Spatiotemporal Epidemiol - A space-time point process model for analyzing and predicting case patterns of diarrheal disease in northwestern Ecuador. ( 0,638924120385674 )
Lifetime Data Anal - Bayesian local influence for survival models. ( 0,638583299550018 )
IEEE Trans Pattern Anal Mach Intell - Causal Inference on Discrete Data using Additive Noise Models. ( 0,638436061794431 )
Comput Math Methods Med - Inference for ecological dynamical systems: a case study of two endemic diseases. ( 0,635929192867215 )
J. Comput. Biol. - A new constant memory recursion for hidden Markov models. ( 0,635567009579928 )
Lifetime Data Anal - A consistent NPMLE of the joint distribution function with competing risks data under the dependent masking and right-censoring model. ( 0,631908261712832 )
AMIA Annu Symp Proc - Testing the calibration of classification models from first principles. ( 0,631565285823804 )
IEEE Trans Image Process - Computationally tractable stochastic image modeling based on symmetric Markov mesh random fields. ( 0,631372147940373 )
J Biomed Inform - Learning Bayesian networks from survival data using weighting censored instances. ( 0,630689821415543 )
Med Decis Making - Bayesian calibration of a natural history model with application to a population model for colorectal cancer. ( 0,628655558061301 )
Res Synth Methods - A basic introduction to fixed-effect and random-effects models for meta-analysis. ( 0,627253608770758 )
Spat Spatiotemporal Epidemiol - The detection of spatially localised outbreaks in campylobacteriosis notification data. ( 0,626173069031964 )
J Biomed Inform - Statistical file matching of flow cytometry data. ( 0,625369715833696 )
Neural Comput - Bayesian community detection. ( 0,624757589167338 )
J. Comput. Biol. - On the inference of dirichlet mixture priors for protein sequence comparison. ( 0,621533888451356 )
IEEE Trans Image Process - Probabilistic image modeling with an extended chain graph for human activity recognition and image segmentation. ( 0,621062096074514 )
IEEE Trans Image Process - Posterior-mean super-resolution with a causal Gaussian Markov random field prior. ( 0,618356119416461 )
J. Comput. Biol. - Expectation-maximization algorithm for determining natural selection of Y-linked genes through two-sex branching processes. ( 0,615060873664989 )
IEEE Trans Image Process - Bayesian inference of models and hyperparameters for robust optical-flow estimation. ( 0,614969972286183 )
J Biomed Inform - A method for detecting and characterizing outbreaks of infectious disease from clinical reports. ( 0,611065406082554 )
Res Synth Methods - Random-effects meta-analysis of time-to-event data using the expectation-maximisation algorithm and shrinkage estimators. ( 0,60857317107728 )
Comput Methods Programs Biomed - Life prediction of different commercial dental implants as influence by uncertainties in their fatigue material properties and loading conditions. ( 0,606538259585537 )
Med Decis Making - Not simply more of the same: distinguishing between patient heterogeneity and parameter uncertainty. ( 0,606083497865863 )
Comput. Biol. Med. - Expectation-maximization technique for fibro-glandular discs detection in mammography images. ( 0,605575671964786 )
Comput Methods Programs Biomed - NIMROD: a program for inference via a normal approximation of the posterior in models with random effects based on ordinary differential equations. ( 0,603105653790153 )
AMIA Annu Symp Proc - Learning to predict post-hospitalization VTE risk from EHR data. ( 0,60307184490181 )
IEEE Trans Pattern Anal Mach Intell - Negative Binomial Process Count and Mixture Modeling. ( 0,60124539907005 )
J Integr Bioinform - Discovery of miR-mRNA interactions via simultaneous Bayesian inference of gene networks and clusters using sequence-based predictions and expression data. ( 0,60018705714124 )
BMC Med Inform Decis Mak - Spatial cluster detection using dynamic programming. ( 0,600121263925564 )
Neural Comput - Multistability and perceptual inference. ( 0,599243022283253 )
Neural Comput - Efficient sensory encoding and Bayesian inference with heterogeneous neural populations. ( 0,598809799659304 )
Comput Methods Programs Biomed - Identification of an integrated mathematical model of standard oral glucose tolerance test for characterization of insulin potentiation in health. ( 0,598387277058352 )
IEEE Trans Pattern Anal Mach Intell - Scaling Multidimensional Inference for Structured Gaussian Processes. ( 0,598034501849086 )
IEEE Trans Image Process - Statistical modeling of 3-D natural scenes with application to Bayesian stereopsis. ( 0,596013091612181 )
Med Biol Eng Comput - A poisson process model for hip fracture risk. ( 0,595538127613034 )
BMC Med Inform Decis Mak - The R0 package: a toolbox to estimate reproduction numbers for epidemic outbreaks. ( 0,595442820905666 )
Spat Spatiotemporal Epidemiol - Mapping gender variation in the spatial pattern of alcohol-related mortality: a Bayesian analysis using data from South Yorkshire, United Kingdom. ( 0,592684347826398 )
Med Decis Making - Cost-effectiveness of adjuvant FOLFOX and 5FU/LV chemotherapy for patients with stage II colon cancer. ( 0,590233856912972 )
IEEE Trans Image Process - Bayesian estimation of linear mixtures using the normal compositional model. Application to hyperspectral imagery. ( 0,587890021771165 )
Comput Math Methods Med - A general latent class model for performance evaluation of diagnostic tests in the absence of a gold standard: an application to Chagas disease. ( 0,586043283494927 )
Artif Intell Med - On the interplay of machine learning and background knowledge in image interpretation by Bayesian networks. ( 0,585786194468045 )
IEEE Trans Image Process - Nonlinearity detection in hyperspectral images using a polynomial post-nonlinear mixing model. ( 0,584697937806443 )
Neural Comput - Attention as reward-driven optimization of sensory processing. ( 0,584393838530335 )
IEEE Trans Pattern Anal Mach Intell - Temporal Analysis of Motif Mixtures using Dirichlet Processes. ( 0,583271018110249 )
Brief. Bioinformatics - The dilemma of choosing the ideal permutation strategy while estimating statistical significance of genome-wide enrichment. ( 0,581944050777836 )
Med Decis Making - A framework for addressing structural uncertainty in decision models. ( 0,580629414815976 )
J Am Med Inform Assoc - Stochastic model search with binary outcomes for genome-wide association studies. ( 0,57675595253095 )
BMC Med Inform Decis Mak - A simulation model of colorectal cancer surveillance and recurrence. ( 0,575783894395049 )
BMC Med Inform Decis Mak - Optimum binary cut-off threshold of a diagnostic test: comparison of different methods using Monte Carlo technique. ( 0,575763958784996 )
Lifetime Data Anal - Proportional hazards models with discrete frailty. ( 0,573305153595031 )
Med Decis Making - Accounting for methodological, structural, and parameter uncertainty in decision-analytic models: a practical guide. ( 0,572687899770331 )
Brief. Bioinformatics - CaliBayes and BASIS: integrated tools for the calibration, simulation and storage of biological simulation models. ( 0,56904346628709 )
IEEE Trans Pattern Anal Mach Intell - Articulated Human Detection with Flexible Mixtures-of-Parts. ( 0,568772671571471 )
IEEE Trans Image Process - A Bayesian hierarchical factorization model for vector fields. ( 0,565623192948799 )
IEEE Trans Neural Netw Learn Syst - Robust Novelty Detection via Worst Case CVaR Minimization. ( 0,564123420749193 )
Appl Clin Inform - Acute diarrheal syndromic surveillance: effects of weather and holidays. ( 0,563632070038518 )
Comput Methods Programs Biomed - Pira?a and PCluster: a modeling environment and cluster infrastructure for NONMEM. ( 0,562249931622429 )
Comput Math Methods Med - A generalized gamma mixture model for ultrasonic tissue characterization. ( 0,561387525800881 )
Artif Intell Med - Improving Bayesian credibility intervals for classifier error rates using maximum entropy empirical priors. ( 0,560277295182115 )
IEEE Trans Neural Netw Learn Syst - Incorporating Wind Power Forecast Uncertainties Into Stochastic Unit Commitment Using Neural Network-Based Prediction Intervals. ( 0,558207874529074 )