Citation: Sd. Oman et al., Comparing two measures of creatinine clearance: an application of errors-in-variables and bootstrap techniques, J ROY STA C, 48, 1999, pp. 39-52
Citation: Ea. Weller et al., Parametric relative survival regression using generalized linear models with application to Hodgkin's lymphoma, J ROY STA C, 48, 1999, pp. 79-89
Citation: Sg. Gilmour et Tj. Ringrose, Controlling processes in food technology by simplifying the canonical formof fitted response surfaces, J ROY STA C, 48, 1999, pp. 91-101
Citation: Xh. Liu et al., Influence of human immunodeficiency virus infection on neurological impairment: an analysis of longitudinal binary data with informative drop-out, J ROY STA C, 48, 1999, pp. 103-115
Authors:
RAAB G
BUTLER R
BRADY AR
STEWART GT
KEIDING N
GLAD IK
COMMENGES D
GORE SM
ISHAM V
DUESBERG P
SOLOMON PJ
AALEN OO
DANGERFIELD B
GELMAN A
LAWLESS JF
MARSCHNER I
MEZZETTI M
ROBERTSON C
TOMBA GS
TAYLOR JMG
BOSCARDIN WJ
Citation: G. Raab et al., BAYESIAN PROJECTION OF THE ACQUIRED-IMMUNE-DEFICIENCY-SYNDROME EPIDEMIC - DISCUSSION, Applied Statistics, 47, 1998, pp. 481-498
Citation: Y. Pawitan, MIXED INVERSE PROBLEMS ARISING IN THE ESTIMATION OF CALIBRATION FACTORS IN POSITRON-EMISSION-TOMOGRAPHY, Applied Statistics, 47, 1998, pp. 499-510
Citation: R. Dittrich et al., MODELING THE EFFECT OF SUBJECT-SPECIFIC COVARIATES IN PAIRED-COMPARISON STUDIES WITH AN APPLICATION TO UNIVERSITY RANKINGS, Applied Statistics, 47, 1998, pp. 511-525
Citation: Bja. Mertens, EXACT PRINCIPAL COMPONENT INFLUENCE MEASURES APPLIED TO THE ANALYSIS OF SPECTROSCOPIC DATA ON RICE, Applied Statistics, 47, 1998, pp. 527-542
Citation: Je. Kelsall et Pj. Diggle, SPATIAL VARIATION IN RISK OF DISEASE - A NONPARAMETRIC BINARY REGRESSION APPROACH, Applied Statistics, 47, 1998, pp. 559-573
Citation: P. Vounatsou et T. Smith, BAYESIAN-ANALYSIS OF 2-COMPONENT MIXTURE DISTRIBUTIONS APPLIED TO ESTIMATING MALARIA ATTRIBUTABLE FRACTIONS, Applied Statistics, 47, 1998, pp. 575-587
Citation: I. Bray et De. Wright, APPLICATION OF MARKOV-CHAIN MONTE-CARLO METHODS TO MODELING BIRTH PREVALENCE OF DOWN-SYNDROME, Applied Statistics, 47, 1998, pp. 589-602