Constantine Frangakis
PhD, Harvard University
Associate Professor
Department of Biostatistics
Bloomberg School of Public Health
Johns Hopkins University
cfrangak@jhsph.edu


Selected articles citing work developed in preparation for and during the project of
"Statistical Methods for Partially Controlled Studies"
PI: CE Frangakis, Co-PI: DB Rubin
Funding Agency: National Eye Institute, NIH


Baker SG (2006). A simple meta-analytic approach for using a binary surrogate endpoint to predict the effect of intervention on true endpoint. Statistics in Medicine 24, 3773-3787

King G and Zeng L. (2006). The dangers of extreme counterfactuals. Political Analysis 14(2), 131-159

Shepherd, BE, Gilbert, PB, Jemiai, Y, and Rotnitzky, A. (2006). Sensitivity Analyses Comparing Outcomes Only Existing in a Subset Selected Post-Randomization, Conditional on Covariates, with Application to HIV Vaccine Trials. Biometrics 62(2), 332-42

An H, Little R (2005). Semiparametric estimation of treatment effect in a pretest-posttest study with missing data - Comment. Statistical Science 20, 282-301

Ajdacic-Gross V, Bopp M, Sansossio R, et al.. (2005). Diversity and change in suicide seasonality over 125 years. Journal of Epidemiology and Community Health 59, 967-972

Cheng J and Small D. (2005). Bounds of causal effects in three arm trials with non compliance. Journal of the Royal Statistical Society; Series B  68(5), 815-836

Angrist J, Bettinger, E, and Kremer, M. (2005). Long term consequences of secondary school vouchers: evidence from administrative records in Colombia. NBER Working Papers 10713, National Bureau of Economic Research, Inc.

Bjorksten KS, Bjerregaard P, Kripke DF (2005). Suicides in the midnight sun - a study of seasonality in suicides in West Greenland. Psychiatry Research 133, 205--213

Campbell DE, West MR, and Peterson PE (2005). Participation in a national, means-tested school voucher program. Journal of Policy Analysis and Management 24, 523-541

Corcoran P, Reilly M, Salim A, et al. (2005). Temporal variation in Irish suicide rates. Suicide and Life Thretening Behavior 34, 429-438

De Stavola, BL, Nitsch D, Silva, ID et al. (2005). Statistical issues in life course epidemiology. American Journal of Epidemiology 163, 84-96

Gottfredson DC, Kearley BW, Najaka SS, et al. (2005). The Baltimore City Drug Treatment Court - 3-year self-report outcome study. Evaluation Review 29, 42-46

Dunn G and Goetghebeur E (2005). Analysing compliance in clinical trials Statistical Methods in Medical Research 14, 325-326

Dunn G, Maracy M, and Tomenson B (2005). Estimating treatment effects from randomized clinical trials with noncompliance and loss to follow-up: the role of instrumental variable methods. Statistical Methods in Medical Research 14, 369-395.

Fischer T, Johnsen SP, Pedersen L, et al. (2005). Seasonal variation in hospitalization and case fatality of subarachnoid hemorrhage - A nationwide Danish study on 9,367 patients. Neuroepidemiology 24, 32-37

Goetghebeur E and Vansteelandt S (2005). Structural mean models for compliance analysis in randomized clinical trials and the impact of errors on measures of exposure. Statistical Methods in Medical Research 14, 397-415

Harkanen, T, Knekt, P, Virtala, E et al. (2005). A case study in comparing therapies involving informative drop-out, non-ignorable non-compliance and repeated measurements. Statistics in Medicine 24, 3773-3783

Hen X, Liu MZ, Zhang A (2005). A note on postrandomization adjustment of covariates. Drug Information Journal 39, 373-383

Shmitz KH, Holtzman, J, Courneya, KS et al. (2005). Controlled physical activity trials in cancer survivors: A systematic review and meta-analysis. Cancer Epidemiology Biomarkers and Prevention 14, 1588-1595

Hernan MA, Robins, JM, Rodriguez LAG. (2005). Discussion on "Statistical issues arising in the Women's Health Initiative". Biometrics 61, 922-930

Greene T, Daugirdas J, Depner T, et al. (2005). Association of achieved dialysis dose with mortality in the Hemodialysis Study: An example of "dose-targeting bias". Journal of the Americal Society of Nephrology 16, 3371-3380

Hudgens MG and Halloran ME (2005). Causal vaccine effects on binary post-infection outcomes. Journal of the American Statistical Association 101, 51-64

Prentice RL, Pettinger M, Anderson GL (2005). Statistical issues arising in the Women's Health Initiative. Biometrics 61, 899-911

Loeys T, Goetghebeur E and A. Vandebosch A. (2005). Causal Proportional Hazards Models and Time-constant Exposure in Randomized Clinical Trials. Lifetime Data Analysis 11, 435-449

Saadat M, Bahaoddini A, Mohabatkar H, et al. (2005). High incidence of suicide by burning in Masjid-i-Sulaiman (southwest of Iran), a polluted area with natural sour gas leakage. Burns 30, 829-832

Postolache, TT, Oren DA. (2005). Circadian phase shifting, alerting, and antidepressant effects of bright light treatment. Clinics in Sports Medicine 24, 381

Tonelli LH, Postolache TT (2005). Tumor necrosis factor alpha, interleukin-1 beta, interleukin-6 and major histocompatibility complex molecules in the normal brain and after peripheral immune challenge. Neurological Research 27, 679-684

White, IR. (2005). Uses and limitations of randomization based efficacy estimators. Statistical Methods in Medical Research 96, 1232-1244

Angrist, JD. (2004). American education research changes track. Oxford review of Economic Policy 20, 198-212

Arjas, E. (2004).  Reply to discussion on causality Scandinavian Journal of Statistics 31, 193-196

Berger, VW and Weinstein S (2004). Ensuring the comparability of comparison groups: is randomization enough? Controlled Clinical Trials 25, 515-524

Buddin R and Zimmer R (2004). The political dynamics of school choice: Negotiating contested rerrain. Journal of Policy Analysis and Management 23, 929-932

Cox, DR and Wermuth (2004).  Causality: a statistical view. International Statistical Review 72, 285-305

Davis GE Lowell, WE. (2004). Chaotic solar cycles modulate the incidence and severity of mental illness. Medical Hypotheses 62, 207-214

Des Jarlais, DC and Braine N (2004). Editorial: Assessing syringe exchange programs. Addiction 99, 1081-1082

Aalen, O.O. (2004).  Discussion on causality. Scandinavian Journal of Statistics 31, 198-201

Greenland S. (2004). Multiple-bias modelling for analysis of observational data. Journal of the Royal Statistical Society: Series A V168,  267-306

Greevy R, Silber J. H., Cnaan, A., and Rosenbaum, P. R. (2004). Randomization Inference with imperfect compliance in ACE-Inhibitor after anthracyline randomized trial. Journal of the American Statistical Association 99,  7-15

Hogan JW, Roy, J, and Korkontzelou, C. (2004). Tutorial in biostatistics - Handling drop-out in longitudinal studies. Statistics in Medicine 23, 1455-1497

Deisenhammer EA (2004). Weather and suicide: the present state of knowledge on the association of meteorological factors with suicidal behaviour. Acta Psychiatrica Scandinavica 108, 455-459

Hudgens, MG, and Gilbert, PB, and Self, SG. (2004). Endpoints in vaccine trials. Statistical Methods in Medical Research 13, 89-114

Langagergaard, V, Norgard, B., Mellemkjaer, L., Pedersen, L., Rothman, K. J., and Sorensen, H. T.(2004). Seasonal variation in month of birth and diagnosis in children and adlosescents with hodgkin disease and non-hodgkin lymphoma. Journal of Pediatric Hematology/Oncology 25(3), 534-538

Howell, WG (2004). Dynamic selection effects in means-tested, urban school voucher programs. Journal of Policy Analysis and Management 23, 225-250

Lauritzen, S (2004). Graphical models for surrogates. Scandinavian Journal of Statistics V 31

Matsui, S. (2004). Applications of a parametric model for informative censoring. Biometrics 60, 704-714

Matsui, S. (2004). Analysis of times to repeated events in two-arm randomized trials with noncompliance and dependent censoring. Biometrics 60, 965-976

Liddell C, Rae G, Brown TRM, et al. (2004). Giving patients an audiotape of their GP consultation: a randomised controlled trial. British Journal of Medical Practice 54, 667-672

Lie SA, Engesaeter LB, Havelin LI, Gjessing HK, Vollset SE. (2004). Dependency issues in survival analyses of 55,782 primary hip replacements from 47,355 patients. Statistics in Medicine 23, 3227-3240

Mercatanti, A. (2004). Analyzing a randomized experiment with imperfect compliance and ignorable conditions for missing data: theoretical and computational issues. Computational Statistics and Data Analysis 46, 493-509

Mealli F, Imbens GW, Ferro S, Biggeri A. (2004). Analyzing a randomized trial on breast self-examination with noncompliance and missing outcomes. Biostatistics 5, 207-222

Nishimura M, Terao T, Soeda S, et al. (2004). Suicide and occupation: further supportive evidence for their relevance. Progress in Neuropharmacology and Biological Psychiatry 28, 83-87

Partonen T, Haukka J, Pirkola S (2004). Time patterns and seasonal mismatch in suicide. Acta Psychiatrica Scandinavica 109, 110-115

Partonen T, Haukka J, Nevanlinna H, et al. (2004). Analysis of the seasonal pattern in suicide Journal of Affective Disorders 81, 13-139

Skriver, MV, Pedersen, L., Stang, P, Lund, L., Rothman, KJ. (2004). The month of birth does not affect the risk of hypospadias. European Journal of Epidemiology 19(12), 1135-6

Ten Have T. R., Elliott M. R., Joffe, M., and Zanutto, E. (2004). Causal models for randomized physician encouragement trials in treating primary care. Journal of the American Statistical Association  99, 16-25

Schuh A (2004). Suicides peak in May and June. Is the decision to kill oneself dependent on the weather? MMW-Fortschritte Der Medizin 146, 614-615

Berck R and Xu H (2003). Comment on "Barnard, J, Frangakis, CE, Hill, J, and Rubin, DB. A principal stratification approach to broken randomized experiments: a case study of School Choice Vouchers in New York City."Journal of the American Statistical Association 98, 318-320

Peterson, PE and Howell, WG (2004). Efficiency, bias, and classification schemes: a response to Alan B. Krueger and Pei Zhu. American Behavioral Scientist 47, 699-719

Farewell, V. T., Lawless, J. F., Gladman, D. D., and Murray, B. U. (2003). Tracing studies and analysis of the effect of loss to follow-up on mortality estimation from patient registry data. Journal of the Royal Statistical Society, Series C  52, 445

Campbell, G, Yue, L, Penello, G, Barrick M. (2003). Encyclopedia of Biopharmaceutical Statistics ISBN: 0-8247-4263-X

Dunn G, Maracy M, Dowrick C, Ayuso-Mateos JL, Dalgard OS, Page H, Lehtinen V, Casey P, Wilkinson C, Vazquez-Barquero JL, Wilkinson G; ODIN group. (2003). Estimating psychological treatment effects from a randomised controlled trial with both non-compliance and loss to follow-up. British Journal of Psychiatry 183, 323-331
 
Gilbert, P. B., Bosch, R. J., and M. G. Hudgens (2003). Sensitivity analysis for the assessment of causal vaccine effects on viral load in AIDS vaccine trials. Biometrics 59, 531-541

Huba et al. (2003). Modeling HIV Risk in Highly Vulnerable Youth. Structural Equation Modeling 10, 583-608.

Hudgens, MG, Hoering, A, and Self, SG. (2003). On the analysis of viral load endpoints in HIV vaccine trials. Statistics in Medicine 22, 2281-2298

Jessen, Ved Geert (2003). Saeson for selvmordsadfaerd: myter og resultater. Suicidologi 8, 14-22


Levy, DE, O'Malley, AJ, and Normand, SL (2003).  Covariate adjustment in clinical trials with non-ignorable missing data and non-compliance. Statistics in Medicine 23, 2319-2339

Loeys, T., and Goetghebeur, E. (2003). A causal proportional hazards estimator for the effect of treatment actually received in a randomized trial with all or nothing compliance. Biometrics 59100

Muthen, B, Booil, J, and Brown, H (2003). Comment on "Barnard, J, Frangakis, CE, Hill, J, and Rubin, DB. A principal stratification approach to broken randomized experiments: a case study of School Choice Vouchers in New York City." Journal of the American Statistical Association 98, 311-314

Joffee, MM, Ten Have TR, Brensinger C. (2003). The compliance score as a regressor in randomized trials. Biostatistics 4, 327-340

Chen, E, Bloomberg, GR, Fisher, EB, Strunk, R. (2003). Predictors of Repeat Hospitalizations in Children with Asthma: The Role of Psychosocial and Socio-Environmental Factors.  Health Psychology, 22(1),12-8

Krueger, A, and Zhu, P (2003). Comment on "Barnard, J, Frangakis, CE, Hill, J, and Rubin, DB. A principal stratification approach to broken randomized experiments: a case study of School Choice Vouchers in New York City." Journal of the American Statistical Association 98, 314-318

Ansolabehere, S (2002). Comment on "J Barnard, CE Frangakis, J Hill, and DB Rubin. School Choice in NY City: A Bayesian Analysis of an Imperfect  Randomized Experiment.'' Case Studies in Bayesian Statistics V5, 69-72

Baker SG and Kramer BS (2002). A perfect correlate does not a surrogate make. BMC Medical Research Methodology 3, 16

Cox, DR.  and Berrington A. (2002). Discussion of "CE Frangakis, DB Rubin, and XH Zhou. Clustered encouragement design with individual noncompliance: Bayesian inference and application to Advance Directive Forms." Biostatistics 3,165-167

Goetghebeur E and Vansteelandt S. (2002).  Discussion of "CE Frangakis, DB Rubin, and XH Zhou. Clustered encouragement design with individual noncompliance: Bayesian inference and application to Advance Directive Forms." Biostatistics 3,169-171

Hogan, J and Daniels, M (2002). A hierarchical modelling approach to analysing longitudinal data with drop-out and non-compliance, with application to an equivalence trial in paediatric acquired immune deficiency syndrome. Journal of the Royal Statistical Society: Series C (Applied Statistics) 51, 1

Hollis, S. (2002). A graphical sensitivity analysis for clinical trials with non-ignorable missing binary outcome. Statistics in Medicine 21, 3823-3834

Berger, VW (2002). Valid adjustment of randomized comparisons for binary covariates. Biometrical Journal 46, 589-594

Matsuyama, Y. (2002). Correcting for non-compliance of repeated binary outcomes in randomized clinical trials: randomized analysis approach. Statistics in Medicine 21, 675-687

Jo, B. (2002). Statistical power in randomized intervention studies with noncompliance. Psychological Methods 178-193

Hill JL, Waldfogel J, and Brooks-Gunn J (2002). Differential effects of high quality child care. Journal of Policy Analysis and Management 21, 601-627

Jo, B. (2002). Estimation of intervention effects with noncompliance: Alternative model specifications. Journal of Educationan and Behavioral Statistics 27, 385-409

Jonsson, EN and Sheiner, LB. (2002). More efficient clinical trials through use of scientific model-based statistical tests. Clinical Pharmacology and Therapeutics 72, 603-614

Junker, B and Gitelman A. I (2002). Comment on "J Barnard, CE Frangakis, J Hill, and DB Rubin. School Choice in NY City: A Bayesian Analysis of an Imperfect Randomized Experiment.'' Case Studies in Bayesian Statistics V, 73-91

Muthen, Bengt O. (2002).  Beyond SEM: Generalized latent variable modelling. Behaviormetrika 21, 81-117

Committee on Scientific Principles for Education Research,  RJ Shavelson and LTowne, (Eds), National Research Council. Scientific Research in Education (2002)

Sashegyi AI, Brown KS, Farrell PJ. (2002). Application of a generalized random effects regression model for cluster-correlated longitudinal data to a school-based smoking prevention trial. American Journal of Epidemiology 152, 1192-1200

Zhang, J (2002). Causal inference with principal stratification. Ph. D. Thesis, Department of Statistics, Harvard University

Baker, SG (2001). Comment on "CE Frangakis and DB Rubin. Addressing an idiosyncrasy in estimating survival curves using double-sampling in the presence of self-selected right censoring.'' Biometrics 57, 348-350

Yau, LH and Little, R J. (2001). Inference for the complier-average causal effect from longitudinal data subject to noncompliance and missing data, with application to a job training assessment for the unemployed. Journal of the American Statistical Association 14, 327-347

Robins, J. M., Rotnitzky, A., and Bonetti, M. (2001). Comment on "CE Frangakis and DB Rubin. Addressing an idiosyncrasy in estimating survival curves using double-sampling in the presence of self-selected right censoring.'' Biometrics 57, 343-347

US Surgeon General's Report (2001).  Women and Smoking. Chapter 4.

Baker, SG (2000). Analyzing a randomized cancer prevention trial with a missing binary outcome, an auxiliary variable, and all-or-none compliance. Journal of the American Statistical Association 95, 43-50 (Sec. 5)

Corhonen, P. (2000). Accelerated failure time models for nonignorable noncompliance in randomized trials. PhD Thesis, Department of Nutrition, National Public Health Institute, University of Helsinki

Sheiner LB and Steiner JL. (2000). Pharmacokinetic/pharmacodynamic modeling in drug development. Annual Review of Pharmacology and Toxicology 40, 67-95

Harrison A, Senserrick T, and Tingvall, C (2000). [Swedish National Road Administration]. Development and trial of a method to investigate the acceptability of seatbelt reminder systems. Accident Research Center. Report No. 170. ISBN 0 7326 1469 4  

Hill, J. L. (2000). Applications of Innovative Statistical Methodology for the Social Sciences (part 3). Ph. D. Thesis, Department of Statistics, Harvard University

McIntosh, MW (1999). Instrumental variables when evaluating screening trials: estimating the benefit of detecting cancer by screening. Statistics in Medicine 18, 2775-2794 (Sec. 5.2)

Sheiner LB and Wakefield J. (1999). Population modelling in drug development. Statistical Methods in Medical Research  8(3)183-193

Baker, SG (1998). Analysis of survival data from a randomized trial with all-or-none compliance: estimating the cost-effectiveness of a cancer screening program. Journal of the American Statistical Association 93, 929-934. (Sec. 5)

The Government of Quebec, Canada, Ministry of Health and Social Services. (1998). The intoxication of alcohol: consequences and determinants. Legal document: ISBN: 2-550-33716-6


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