Publications
150 results found
Clayton D, Campbell MJ, Longford NT, et al., 2000, Combining evidence on air pollution and daily mortality from the 20 largest US cities: a hierarchical modelling strategy - Discussion, JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, Vol: 163, Pages: 284-302, ISSN: 0964-1998
Deltour I, Richardson S, Le Hesran JY, 1999, Stochastic algorithms for Markov models estimation with intermittent missing data, BIOMETRICS, Vol: 55, Pages: 565-573, ISSN: 0006-341X
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- Citations: 17
Chouquet C, Richardson S, Burgard M, et al., 1999, Timing of human immunodeficiency virus type 1 (HIV-1) transmission from mother to child: Bayesian estimation using a mixture, STATISTICS IN MEDICINE, Vol: 18, Pages: 815-833, ISSN: 0277-6715
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- Citations: 20
Webster R, Lawson AB, Glasbey C, et al., 1998, Model-based geostatistics - Discussion, JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, Vol: 47, Pages: 326-350, ISSN: 0035-9254
Richardson S, Green PJ, 1998, Corrigendum: On Bayesian analysis of mixtures with an unknown number of components (vol 59, pg 731, 1997), JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, Vol: 60, Pages: U3-U3, ISSN: 1369-7412
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- Citations: 6
Longford NT, Raab GM, Robins JM, et al., 1998, Analysis of longitudinal binary data from multiphase sampling - Discussion on the papers by Forster and Smith and Clayton et al., JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, Vol: 60, Pages: 89-102, ISSN: 1369-7412
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- Citations: 8
Watier L, Richardson S, Hemon D, 1997, Accounting for pregnancy dependence in epidemiologic studies of reproductive outcomes, EPIDEMIOLOGY, Vol: 8, Pages: 629-636, ISSN: 1044-3983
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- Citations: 19
Garcia A, Maccario J, Richardson S, 1997, Modelling the annual risk of tuberculosis infection, INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, Vol: 26, Pages: 190-203, ISSN: 0300-5771
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- Citations: 10
Richardson S, Leblond L, 1997, Some comments on misspecification of priors in Bayesian modelling of measurement error problems, STATISTICS IN MEDICINE, Vol: 16, Pages: 203-213, ISSN: 0277-6715
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- Citations: 12
Richardson S, Green PJ, 1997, On Bayesian analysis of mixtures with an unknown number of components, JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL, Vol: 59, Pages: 731-758, ISSN: 0035-9246
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- Citations: 1437
Thomas DC, Richardson S, Gauderman J, et al., 1997, A Bayesian approach to multipoint mapping in nuclear families, GENETIC EPIDEMIOLOGY, Vol: 14, Pages: 903-908, ISSN: 0741-0395
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- Citations: 14
Richardson S, 1996, [Current developments in biostatistics]., Rev Epidemiol Sante Publique, Vol: 44, Pages: 482-493, ISSN: 0398-7620
Recent developments in biostatistics in three key areas: survival analysis of censured data, generalised linear models for correlated data, Bayesian modelling of complex data, are presented. Particular emphasis is placed upon illustrating common trends in these areas, in particular advances in computer intensive methods, the development of unifying modelling structures and the increasing variety of complex biomedical problems which can be realistically analysed.
Richardson S, 1996, Recent developments in biostatistics, REVUE D EPIDEMIOLOGIE ET DE SANTE PUBLIQUE, Vol: 44, Pages: 482-493, ISSN: 0398-7620
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- Citations: 5
Sabin CA, Ashby D, Richardson S, et al., 1996, Markov chains with measurement error: Estimating the 'true' course of a marker of the progression of human immunodeficiency virus disease - Discussion, JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, Vol: 45, Pages: 295-309, ISSN: 0035-9254
RICHARDSON S, MONFORT C, GREEN M, et al., 1995, SPATIAL VARIATION OF NATURAL RADIATION AND CHILDHOOD LEUKEMIA INCIDENCE IN GREAT-BRITAIN, STATISTICS IN MEDICINE, Vol: 14, Pages: 2487-2501, ISSN: 0277-6715
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- Citations: 66
WATIER L, RICHARDSON S, 1995, MODELING OF AN EPIDEMIOLOGIC TIME-SERIES BY A THRESHOLD AUTOREGRESSIVE MODEL, JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES D-THE STATISTICIAN, Vol: 44, Pages: 353-364, ISSN: 0039-0526
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- Citations: 9
Watier L, Richardson S, Hubert B, 1993, Salmonella enteritidis infections in France and the United States: characterization by a deterministic model., Am J Public Health, Vol: 83, Pages: 1694-1700, ISSN: 0090-0036
OBJECTIVES: Epidemiological surveillance can be used to identify problems, suggest hypotheses, and assess the effectiveness of preventive actions. These objectives are pursued in the analysis of the dynamic evolution of Salmonella enteritidis infections. In this analysis, development of the epidemic in France and the United States is compared. METHODS: This analysis is based on the formulation of a simple deterministic compartmental model, in which human contact with contaminated food is expressed in terms of a baseline transmission rate. RESULTS: In France, the baseline transmission rate, stable up until 1986, is multiplied by 2.3 in 1987 and by 4.1 in 1988. There is no evidence of a slowdown of the linear rate of increase. In the Middle Atlantic region of the United States, the linear increase of the epidemic is similar to that observed in France. From 1990 a potential effect of the preventive measures is observed. CONCLUSIONS: The pattern of increase of the baseline transmission rate is similar in France and in the Middle Atlantic region of the United States. However, preventive measures, used in both areas, appeared more effective in the United States.
RICHARDSON S, GILKS WR, 1993, CONDITIONAL-INDEPENDENCE MODELS FOR EPIDEMIOLOGIC STUDIES WITH COVARIATE MEASUREMENT ERROR, STATISTICS IN MEDICINE, Vol: 12, Pages: 1703-1722, ISSN: 0277-6715
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- Citations: 105
RICHARDSON S, GILKS WR, 1993, A BAYESIAN-APPROACH TO MEASUREMENT ERROR PROBLEMS IN EPIDEMIOLOGY USING CONDITIONAL-INDEPENDENCE MODELS, AMERICAN JOURNAL OF EPIDEMIOLOGY, Vol: 138, Pages: 430-442, ISSN: 0002-9262
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- Citations: 102
CLIFFORD P, RICHARDSON S, HEMON D, 1993, MODIFYING THE T-TEST FOR ASSESSING THE CORRELATION BETWEEN 2 SPATIAL PROCESSES - REPLY, BIOMETRICS, Vol: 49, Pages: 312-314, ISSN: 0006-341X
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- Citations: 3
Richard A, Richardson S, Maccario J, 1993, A three-state Markov model of Plasmodium falciparum parasitemia., Math Biosci, Vol: 117, Pages: 283-300, ISSN: 0025-5564
A three-state Markov model taking into account clinical signs of malaria infections by P. falciparum is described. The three states considered are the noninfected (state 0), the infected exhibiting no clinical signs (state 1), and the infected with clinical signs (state 2). Methods for estimating the transition rates from longitudinal data are indicated. This model was used to assess the effect on children of an intervention trial on the use of mosquito nets impregnated with insecticide. The trial was conducted in West Africa (Burkina Faso) between 1985 and 1987. The analysis showed that the intervention was most effective on transition rates between state 1 and state 2.
GILKS WR, RICHARDSON S, 1992, ANALYSIS OF DISEASE RISKS USING ANCILLARY RISK-FACTORS, WITH APPLICATION TO JOB EXPOSURE MATRICES, STATISTICS IN MEDICINE, Vol: 11, Pages: 1443-1463, ISSN: 0277-6715
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- Citations: 16
RICHARDSON S, 1992, STATISTICAL MODELING OF SPATIAL VARIATIONS IN EPIDEMIOLOGY, REVUE D EPIDEMIOLOGIE ET DE SANTE PUBLIQUE, Vol: 40, Pages: 33-45, ISSN: 0398-7620
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- Citations: 10
Richardson S, 1992, [Statistic modeling of geographic and epidemiologic variations]., Rev Epidemiol Sante Publique, Vol: 40, Pages: 33-45, ISSN: 0398-7620
In epidemiology, studies of the geographical variations of mortality or incidence rates for some chronic diseases have often given rise to etiological clues concerning those diseases. In this framework the variables concerned have a spatially autocorrelated structure which has to be taken into account in the statistical analysis. The statistical techniques used to study in the first place the spatial variations of mortality rates and then the joint geographical variations of mortality and exposure indices are reviewed. Emphasis is placed on the importance played by the geographical scale of the analysed data in the modelling process as well as on the interpretation problems of geographical correlation studies.
RICHARDSON S, GUIHENNEUC C, LASSERRE V, 1992, SPATIAL LINEAR-MODELS WITH AUTOCORRELATED ERROR STRUCTURE, JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES D-THE STATISTICIAN, Vol: 41, Pages: 539-557, ISSN: 0039-0526
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- Citations: 10
Watier L, Richardson S, Hubert B, 1991, A time series construction of an alert threshold with application to S. bovismorbificans in France., Stat Med, Vol: 10, Pages: 1493-1509, ISSN: 0277-6715
Epidemiological surveillance can be used to initiate preventive measures and Salmonella infection is a prime example of application. It is important that any unusual increase of reported cases should be detected as rapidly as possible. Reliable forecasts based on a suitable model of the temporal structure of a pathological indicator are necessary for the elaboration of an alert threshold. We first discuss the specific problems associated with the identification and the estimation of the temporal structure of indicators of infectious diseases when they present both epidemic peaks and an underlying stationary structure. Then we consider how an alert threshold can be defined. Our application concerns infections caused by S. bovismorbificans in France for which an alert threshold is constructed and tested both retrospectively and prospectively.
MOLLIE A, RICHARDSON S, 1991, EMPIRICAL BAYES ESTIMATES OF CANCER MORTALITY-RATES USING SPATIAL MODELS, STATISTICS IN MEDICINE, Vol: 10, Pages: 95-112, ISSN: 0277-6715
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- Citations: 76
Richardson S, 1990, A method for testing the significance of geographical correlations with application to industrial lung cancer in France., Stat Med, Vol: 9, Pages: 515-528, ISSN: 0277-6715
This paper discusses some of the problems encountered when testing significance in geographical epidemiology where variables typically exhibit some spatial autocorrelation. A test of partial correlation between spatially autocorrelated variables is presented. It is based on evaluation of an effective sample size which takes account of spatial structure. Performance is assessed by Monte Carlo simulation. The proposed method is used to study male lung cancer rates in specific industries in France.
CLIFFORD P, RICHARDSON S, HEMON D, 1989, ASSESSING THE SIGNIFICANCE OF THE CORRELATION BETWEEN 2 SPATIAL PROCESSES, BIOMETRICS, Vol: 45, Pages: 123-134, ISSN: 0006-341X
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- Citations: 402
Richardson S, Stücker I, Hémon D, 1987, Comparison of relative risks obtained in ecological and individual studies: some methodological considerations., Int J Epidemiol, Vol: 16, Pages: 111-120, ISSN: 0300-5771
This paper is concerned with the problem of estimating relative risks from ecological correlation studies. In the first part, some of the biases encountered when analysing aggregated data are discussed and in particular attention is focused on the shape of the dose-response relationship obtained from aggregated and non-aggregated data, on the need for extrapolation and on the scale of aggregation. In the second part some empirical observations are made on these points by means of four examples concerning the relative risk between smoking and different pathologies. The estimates of relative risks derived from French geographical data and from case control or cohort studies are compared. The performance of ecological studies is discussed with respect to the strength of the risk factor considered, the geographical distribution of counfounding factors and the adjustment of different models.
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