Methodologic Publications
Barrera-Gomez J, Spiegelman D, Basagana X “Optimal combination of number of participants and number of repeated measurements in longitudinal studies with time-varying exposure” In Press, Statistics in Medicine, 2013
Takkouche B, Khudyakov P, Costa-Bouzas J, Spiegelman D “Confidence intervals for heterogeneity measures in meta-analysis” In Press, American Journal of Epidemiology, 2013
Zucker DM, Gorfine M, Li Y, Tadesse M, Spiegelman D, “A regularization corrected score method for nonlinear regression models with covariate error”. Biometrics, 2013 Mar 69(1):80-90. PMCID: PMC3622191
Liao XM, Carroll RJ, Spiegelman D. “Regression calibration is valid when properly applied” Epidemiology 2013 May;24(3):466-7. PMCID in process
Zucker DM, Agami S, Spiegelman D. “Testing for a changepoint in the Cox survival regression model”. Journal of Statistical Theory and Practice, 2013 Apr; 7:360–380. PMCID in process
Orsini N, Li R, Wolk A, Khudyakov P, Spiegelman D “Meta-analysis for linear and non-linear dose-response relationships: examples, an evaluation of approximations, and software”. American Journal of Epidemiology, 2011 doi: 10.1093/aje/kwr265.
Preis SR, Spiegelman D, Zhao B, Moshfegh A, Baer D, Willett WC. “Application of a Repeat-Measure Biomarker Measurement Error Model to 2 Validation Studies: Examination of the Effect of Within-Person Variation in Biomarker Measurements” American Journal of Epidemiology, 2011 Mar 15; 173 (6): 683-694.
Spiegelman D, Logan R, Grove D. “Regression calibration with heteroscedastic error variance”. International Journal of Biostatistics: 2011 Vol. 7, Issue 1, Article 4. DOI: 10.2202/1557-4679.1259.
Liao XM, Zucker DM, Li Y, Spiegelman D. “Survival Analysis with Error-Prone Time-Varying Covariates: A Risk Set Calibration Approach”. Biometrics, 2011 Mar;67(1):50-58.; PMCID: PMC2927810
Spiegelman D. Invited paper: Some remarks on the seminal 1904 paper of Charles Spearman “The Proof and Measurement of Association between Two Things” International Journal of Epidemiology, 2010; 39:1156-1159.
Basagaña X, Spiegelman D. “Power and sample size calculations for longitudinal studies estimating a main effect of a time-varying exposure”. Statistical Methods in Medical Research, 2010: 19 (3): 1-17
Basagaña X, Spiegelman D. “Power and sample size calculations for longitudinal studies comparing rates of change with a time-varying exposure”. Statistics in Medicine, 2009; 29:181-192.
Lindström S, Yen Y-C, Spiegelman D, Kraft P. “The impact of gene-environment dependence and misclassification in genetic association studies incorporating gene-environment interactions”. Human Heredity, 2009; 68:171-181.
Govindarajulu US, Malloy EJ, Ganguli B, Spiegelman D, Eisen EA. “The comparison of alternative smoothing Methods for fitting non-linear exposure-response relationships with Cox Models in a simulation study. The International Journal of Biostatistics 2009: Vol. 5: Issue 1, Article 2.
Malloy, E.J., Spiegelman, D., and Eisen, E.A. Penalized spline smoothing parameter selection in Cox models: a simulation study. Computational Statistics and Data Analysis 2009; 53; 2605-2616.
Zucker DM, Spiegelman D. “Corrected score estimation in the proportional hazards model with misclassified discrete covariates”. Statistics in Medicine, 2008; 27:1911-1933.
Spiegelman D. “Commentary: Calculations of EPIC Proportions” International Journal of Epidemiology, 2008; 37:379-381.
Spiegelman D, Hertzmark E, Wand HC. “Point and interval estimates of partial population attributable risks in cohort studies: examples and ”. Cancer Causes and Control, 2007; 18:571-579. Abstract
Van Roosbroeck S, Li R, Hoek G, Lebret E, Brunekeef B, Spiegelman D. “Re-analysis of the relationship between respiratory symptoms and outdoor air pollution from traffic using exposure measurement error correction.” Epidemiology, 2008; 19:409-416.
Ritz J, Demidenko E, Spiegelman D. “Multivariate pooling for efficiency”. Journal of Statistical Planning and Inference, 2008; 138: 1919-1933.
Weller EA, Milton DK, Eisen EA Spiegelman D. “Regression calibration for logistic regression with multiple surrogates for one exposure”. Journal of Statistical Planning and Inference, 2007; 137:449-461. Abstract
Govindarajulu US, Spiegelman D, Thurston SW, Ganguli B, Eisen EA. “Comparing smoothing techniques in Cox models for exposure-response relationships”. Statistics in Medicine, 2007; 26: 3735-3752. Abstract
Spiegelman D, Hertzmark E. “Spiegelman and Hertzmark reply to Neogi & Zhang, Petersen & Deddens, and Tian & Liu Re: ‘Easy SAS Calculations for Risk or Prevalence Ratios and Differences’” (Letter). American Journal of Epidemiology, 2006; 1159.
Spiegelman D. Review of “Gustafson P. Measurement error and misclassification”. Journal of the American Statistical Association, 2006; 101: 392-393.
Smith-Warner SA, Spiegelman D, Ritz J, Albanes D, Beeson WL, Bernstein L, Berrino F, van den Brandt PA, Buring JE, Cho E, Colditz GA, Folsom AR, Freudenheim JL, Giovannucci E, Goldbohm RA, Graham S, Harnack L, Horn-Ross P, Krogh V, Leitzmann MF, McCullough ML, Miller AB, Rodriguez C, Rohan TE, Schatzkin A, Shore R, Virtanen M, Willett WC, Wolk A, Zeleniuch-Jacquotte A, Zhang SM, Hunter DJ. “Methods for pooling results of epidemiologic studies: the Pooling Project of Prospective Studies of Diet and Cancer”. American Journal of Epidemiology, 2006; 163:1053-1064.
Govindarajulu US, Spiegelman D, Miller KL, Kraft P. “Quantifying bias due to allele misclassification in case-control studies of haplotypes”. Genetic Epidemiology, 2006; 30:590-601. Abstract
Horick N, Milton DK, Gold D, Weller E, Li R, Spiegelman D. “Household dust endotoxin exposure and wheeze in infants: correction for bias due to exposure measurement error”. Environmental Health Perspectives, 2006; 114:135-140. Abstract
Li R, Weller EA, Dockery DW, Neas LM, Spiegelman D. “Association of indoor nitrogen dioxide with respiratory symptoms in children: the effect of measurement error correction with multiple surrogates.” Journal of Exposure Analysis and Environmental Epidemiology, 2006; 16:342-350. Abstract
Spiegelman D, Hertzmark E. “Easy SAS calculations for risk or prevalence ratios and differences (Invited Brief Commentary)”. American Journal of Epidemiology, 2005; 162: 199. Abstract
Spiegelman D, Zhao B, Kim J. “Correlated errors in biased surrogates: study designs and methods for measurement error correction”. Statistics in Medicine, 2005; 24:1657-1682. Abstract
Thurston SW, Williams P, Hauser R, Hu H, Hernandez-Avila M, Spiegelman D “A comparison of regression calibration methods for measurement error in main study/internal validation study designs”. Journal of Statistical Planning and Inference, 2005; 131:175-190.
Spiegelman D. “Commentary: Correlated errors and energy adjustment: where are the data?” Int J Epidemiol 2004; 6:1387-1388.
Zucker DM, Spiegelman D. “Inference for the proportional hazards model with misclassified discrete-valued covariates covariates”. Biometrics, 2004; 60:324-334.
Bang H, Spiegelman D. “Estimating treatment effects in studies of perinatal transmission of HIV with fetal loss”. Biostatistics, 2004; 5:31-43. Abstract
Ritz J, Spiegelman D. “A note about the equivalence of conditional and marginal regression models”. Statistical Methods in Medical Research, 2004; 13:309-323. Abstract
Thurston SW, Spiegelman D, Ruppert D. “Equivalence of regression calibration methods for main study/external validation study designs”. Journal of Statistical Planning and Inference, 2003; 113:527-539.
Staudenmayer J, Spiegelman D. “Segmented regression in the presence of covariate measurement error in main study/validation study designs”. Biometrics, 2002; 58:871-877. Abstract
Spiegelman D. “Relative risk”. In “Encyclopedia of Environmetrics”. El-Shaarawi & Piergorsch, eds. John Wiley & Sons Ltd., England, 2002; 3:1743-1744.
Stürmer T, Thürigen D, Spiegelman D, Blettner M, Brenner H. “The performance of measurement error correction methods for the analysis in case-control studies with validation data: a simulation study”. Epidemiology, 2002; 13:507-516. Abstract
Spiegelman D. “Validation studies”. In “Encyclopedia of Environmetrics”. El-Shaarawi & Piergorsch, eds. John Wiley & Sons Ltd., England, 2002; 4:2311-2313.
Spiegelman D, Carroll RJ, Kipnis V. “Efficient regression calibration for logistic regression in main study/internal validation study designs”. Statistics in Medicine, 2001; 29:139-160. Abstract
Kabagambe EK, Baylin A, Allan DA, Siles X, Spiegelman D, Campos H. “Application of the method of triads to evaluate the performance of food-frequency questionnaires and biomarkers as indicators of long-term dietary intake”. American Journal of Epidemiology, 2001; 154:1126-1135.
Costa-Bouzas J, Takkouche B, Cadarso-Suárez C, Spiegelman D. “HEpiMA: for the identification of heterogeneity in meta-analysis”. Computer Methods and Programs in Biomedicine, 2000; 64: (2) 101-107.
Spiegelman D, Rosner B, Logan R. “Estimation and inference for binary data with covariate measurement error and misclassification for main study/validation study designs.” J American Statist Assoc, 2000; 95:51-61. Abstract
Takkouche B, Cardarso-Suárez C, Spiegelman D. “An evaluation of old and new tests for heterogeneity in meta-analysis for epidemiologic research”. American Journal of Epidemiology, 1999;150: 206-215. Abstract
Holcroft C, Spiegelman D. “Design of validation studies for estimating the odds ratio of exposure-disease relationships when exposure is misclassified”. Biometrics, 1999; 55:1193-1201. Abstract
Morrissey MJ, Spiegelman D. “Matrix methods for estimating odds ratios with misclassified exposure data: Extensions and comparisons”. Biometrics, 1999; 55:338-344.
Spiegelman D, Valanis B. “Correcting for bias in relative risk estimates due to exposure measurement error: a case study of occupational exposure to antineoplastics in pharmacists”. Journal of the American Public Health Association, 1998; 88: 406-412. Abstract
Thürigen D, Spiegelman D, Heuer C, Blettner M, Brenner H. “Measurement error correction using validation data — a review of methods and their applicability in case-control studies”. Statistical methods in medical research 2000; 9:447-474.
Spiegelman D. “Validation studies”. In Encyclopedia of Biostatistics, Colton T & Armitage P, eds. Sussex, England: Wiley, 1998, pp.4694-4700.
Spiegelman D. “Reliability studies”. In Encyclopedia of Biostatistics, Colton T & Armitage P, eds. Sussex, England: Wiley, 1998, pp.3771-3775.
Thürigen D, Blettner M, Spiegelman D, Heuer C, Brenner H. “A review of methods of measurement error correction in case-control studies with validation data — a review of methods and their applicability in case-control studies”. American Journal of Epidemiology, 1998; vol. 147:104
Foppa I, Spiegelman D. “Power and sample size calculations for case-control studies of gene-environment interactions with a polytomous exposure variable”. American Journal of Epidemiology, 1997; 146:596-604. Abstract
Demidenko E, Spiegelman D. “A paradox: more measurement error can lead to more efficient estimates”.Communications in Statistics – Theory and Methods, 1997; 26:1649-1675. Abstract
Spiegelman D, Casella M. “Fully parametric and semi-parametric regression models for common events with covariate measurement error, in main study/validation study designs”. Biometrics, 1997; 53:395-409.
Spiegelman D, Schneeweiss S, McDermott A. “Measurement error correction for logistic regression models with an ‘alloyed gold standard’”. American Journal of Epidemiology, 1997; 145:184-196. Abstract
Spiegelman D, McDermott A, Rosner B. “The regression calibration method for correcting measurement error bias in nutritional epidemiology”. American Journal of Clinical Nutrition, 1997;65(suppl):1179S-1186S. Abstract
Spiegelman D, Colditz GA, Hunter DJ, Hertzmark E. Predicting individual absolute risk of breast cancer (Letter). Journal of the National Cancer Institute, 1994; 86: 1050-1051.
Spiegelman D. “Statistical methods in clinical trials analysis”. Invited book chapter for Cramer D, Goldman MB (eds). Study Designs and Statistics, Infertility and Reproductive Medicine Clinics of North America 5: 1994. Philadelphia, PA: W.B. Saunders, Co., pp. 365-385.
Spiegelman D, Colditz G, Hunter DJ, Hertzmark E. “Validation of the Gail et al. model for predicting individual breast cancer risk. J Natl Cancer Instit, 1994; 86:600-607. Abstract
Spiegelman D. “Cost-efficient study designs for relative risk modeling with covariate measurement error”. Journal of Statistical Planning and Inference, 1994; 42:187-208. Abstract
Rosner B, Spiegelman D, Willett WC. “Correction of logistic regression relative risk estimates and confidence intervals for random within-person measurement error”. American Journal of Epidemiology, 1992; 136: 1400-1413. Abstract
Spiegelman D, Gray R. “Cost-efficient study designs for binary response data with generalized Gaussian measurement error in the covariate”. Biometrics 1991; 47: 851-870. Abstract
Spiegelman D, Bailar JC III, Crouch EAC, Shaikh R. “Is the one-hit model of carcinogenesis conservative? Evidence from the National Toxicology Program’s Bioassay Database“. In New Risks, eds. CA Cox, PF Ricci. New York: Plenum Press, 1990.
Rosner B, Spiegelman D, Willett WC. “Correction of logistic regression relative risk estimates and confidence intervals for measurement error: the case of multiple covariates measured with error”. American Journal of Epidemiology, 1990; 132: 734-745. Abstract
Crouch EAC, Spiegelman D. “The evaluation of integrals of the form f(t)exp{-t2}dt: Application to logistic-normal models”. JASA, 1990; 85: 464-469. Abstract
Rosner B, Willett WC, Spiegelman D. “Correction of logistic relative risk estimates and confidence intervals for systematic within-person measurement error”. Statistics in Medicine, 1989; 8: 1051-1069. Abstract
Bailar JC, Crouch EAC, Shaikh R, Spiegelman D. “One-hit models of carcinogenesis: conservative or not?” Risk Analysis, 1988; 8:485-497.
Spiegelman DL, Wang JD, Wegman DH. “Interactive Electronic Computing of Mortality Odds Ratios”. American Journal of Epidemiology, 1983; 118(4):599-607. Abstract