Methodologic Publications

1.    Spiegelman D. “Regression calibration in air pollution epidemiology with exposure estimated by spatio-temporal modeling” In Press, Environmetrics, 2014

2.    Wang M, Liao X, Spiegelman D. “Can efficiency be gained by correcting for misclassification?” Journal of Statistical Planning and Inference, 2013 Nov 1;143(11). doi: 10.1016/j.jspi.2013.06.010.

3.    Barrera-Gomez J, Spiegelman D, Basagaña X.  “Optimal combination of number of participants and number of repeated measurements in longitudinal studies with time-varying exposure” Stat Med. 2013 Nov 30;32(27):4748-62. PMCID:PMC3808503

4.    Takkouche B, Khudyakov P, Costa-Bouzas J, Spiegelman D “Confidence intervals for heterogeneity measures in meta-analysis”. American Journal of Epidemiology, 2013 Aug 6 doi: 10.1093/aje/kwt060

5.    Liao XM, Spiegelman D, Carroll RJ,  “Regression calibration is valid when properly applied”. Epidemiology, 2013; 24:466-467.

6.    Kim S, Zeng D, Li Y, Spiegelman D.  “Joint Modeling of Longitudinal and Cure-survival Data”. Journal of Statistical Theory and Practice 2013 Apr 5, 7:324-344.
7.    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

8.    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

9.    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, 2012 Jan 1;175(1):66-73.  PMCID: PMC3244608

10.    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.

11.    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. Manuscript

12.    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.

13.    Basagaña X, Liao 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, 2011:20(5):471-87

14.    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

15.    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.

16.    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.

17.    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.

18.    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.

19.    Zucker DM, Spiegelman D. “Corrected score estimation in the proportional hazards model with misclassified discrete covariates”. Statistics in Medicine, 2008; 27:1911-1933.

20.    Spiegelman D. “Commentary: Calculations of EPIC Proportions” International Journal of Epidemiology, 2008; 37:379-381.

21.    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.

22.    Ritz J, Demidenko E, Spiegelman D. “Multivariate pooling for efficiency”. Journal of Statistical Planning and Inference, 2008; 138: 1919-1933.

23.    Spiegelman D, Hertzmark E, Wand HC. “Point and interval estimates of partial population attributable risks in cohort studies: examples and software”. Cancer Causes and Control, 2007; 18:571-579.

24.    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.

25.    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.

26.    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.

27.    Spiegelman D. Review of “Gustafson P. Measurement error and misclassification”. Journal of the American Statistical Association, 2006; 101: 392-393.

28.    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.

29.    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.

30.    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.

31.    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

32.    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.

33.    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.

34.    Spiegelman D. “Commentary: Correlated errors and energy adjustment: where are the data?” Int J Epidemiol 2004; 6:1387-1388.

35.    Zucker DM, Spiegelman D. “Inference for the proportional hazards model with misclassified discrete-valued covariates covariates”. Biometrics, 2004; 60:324-334.

36.    Bang H, Spiegelman D. “Estimating treatment effects in studies of perinatal transmission of HIV with fetal loss”. Biostatistics, 2004; 5:31-43.

37.    Ritz J, Spiegelman D. “A note about the equivalence of conditional and marginal regression models”. Statistical Methods in Medical Research, 2004; 13:309-323.

38.    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.

39.    Staudenmayer J, Spiegelman D. “Segmented regression in the presence of covariate measurement error in main study/validation study designs”. Biometrics, 2002; 58:871-877.

40.    Spiegelman D. “Relative risk”. In “Encyclopedia of Environmetrics”. El-Shaarawi & Piergorsch, eds. John Wiley & Sons Ltd., England, 2002; 3:1743-1744.

41.    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.

42.    Spiegelman D. “Validation studies”. In “Encyclopedia of Environmetrics”. El-Shaarawi & Piergorsch, eds. John Wiley & Sons Ltd., England, 2002; 4:2311-2313.

43.    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.

44.    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.

45.    Costa-Bouzas J, Takkouche B, Cadarso-Suárez C, Spiegelman D. “HEpiMA: Software for the identification of heterogeneity in meta-analysis”. Computer Methods and Programs in Biomedicine, 2000; 64: (2) 101-107.

46.    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.

47.    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

48.    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.

49.    Morrissey MJ, Spiegelman D. “Matrix methods for estimating odds ratios with misclassified exposure data: Extensions and comparisons”. Biometrics, 1999; 55:338-344.

50.    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.

51.    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.

52.    Spiegelman D. “Validation studies”. In Encyclopedia of Biostatistics, Colton T & Armitage P, eds. Sussex, England: Wiley, 1998, pp.4694-4700.

53.    Spiegelman D. “Reliability studies”. In Encyclopedia of Biostatistics, Colton T & Armitage P, eds. Sussex, England: Wiley, 1998, pp.3771-3775.

54.    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.

55.    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.

56.    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.

57.    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.

58.    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.

59.    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.

60.    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.

61.    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.

62.    Spiegelman D. “Cost-efficient study designs for relative risk modeling with covariate measurement error”. Journal of Statistical Planning and Inference, 1994; 42:187-208.

63.    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.

64.    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.

65.    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.

66.    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.

67.    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.

68.    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.

69.    Bailar JC, Crouch EAC, Shaikh R, Spiegelman D. “One-hit models of carcinogenesis: conservative or not?”  Risk Analysis, 1988; 8:485-497.

70.    Spiegelman DL, Wang JD, Wegman DH.  “Interactive Electronic Computing of Mortality Odds Ratios”.  American Journal of Epidemiology, 1983; 118(4):599-607.