Facilities & Services



Expertise & Publications

Core Expertise

Statistical Analysis Core Faculty Lead
Dr. Niko Kaciroti, PhD
Research Scientist
Center for Human Growth and Development

Dr. Kaciroti’s research focuses on using Bayesian modeling techniques for analyzing longitudinal data from randomized clinical trials with missing data as well as for modeling nonlinear and dynamic models in a multilevel setting. His applied research is related to the effect of iron deficiency on brain, behavior and development; obesity; managing chronic disease; hypertension and cardiovascular diseases; and emotion regulation as complex systems in preschoolers.

Dr. Kaciroti’s faculty page

Core Manager
Harlan McCaffery, MS
Statistician Intermediate
Center for Human Growth and Development

Mr. McCaffery earned his MS in Biostatistics with concentration in Statistical Methods and Practice from Northwestern University in 2018.  He has experience with longitudinal data analysis, survival analysis, and statistical programming. With his background in anthropology and archaeology, he is familiar with the application of statistical methods to the social sciences, and has been published in the archaeological journal American Antiquity. He is also interested in methods for handling missing data and genomics.


Methodologic Papers

  1. Foster J, Nan B, Shen L, Kaciroti N, Taylor JMG. Permutation testing for treatment covariate interactions and subgroup identification. Statistics in Biosciences. 2016; 8: 77-98.
  2. Kang S, Little R, Kaciroti N. (2015). Missing not at random models for masked clinical trials with dropouts. Clinical Trials., 12(2), 139-148.
  3. Foster J, Taylor J, Kaciroti N, Nan, B. (2015). Simple approximations to optimal treatment regimes in randomized clinical trial data. Biostatistics, 16(2), 368-382.
  4. Elliot MR, Conlon ASC, Li Y, Kaciroti N, Taylor JMG. (2015). Surrogacy marker paradox measures in meta-analysis settings. Biostatistics, 16(2), 400-412.
  5. Kaciroti N, Raghunathan TE. (2014). Bayesian sensitivity analysis for incomplete data: bridging pattern-mixture and selection models for exponential family. Statistics in Medicine, 33(27), 4841-4857.
  6. Kaciroti N, Raghunathan T, Taylor J, Julius S. (2012). A Bayesian model for discrete time-to-event data with informative censoring. Biostatistics, 13(2), 341-354.
  7. Kaciroti N, Schork MA, Raghunathan TE, Julius S. (2009). A Bayesian Sensitivity Model for Intention-to-Treat Analysis of Binary Outcomes with Dropouts. Statistics in Medicine, 28(4), 572-5.
  8. Kaciroti N, Raghunathan TE, Schork MA, Clark NM. A (2008). Bayesian model for longitudinal count data with non-ignorable dropout. Journal of the Royal Statistical Society C: Applied Statistics., 57, 521-534.
  9. Kaciroti N, Raghunathan TE, Schork MA, Clark NM, Gong M. (2006). A Bayesian Approach for Clustered Longitudinal Ordinal Outcome with Nonignorable Missing Data: Evaluation of an Asthma Education Program. Journal of American Stat. Assoc., 101, 435-446.

Applied Papers

  1. Griauzde D, Lumeng J, Shah P, Kaciroti N. Lower body max index z-score trajectory during early childhood following the birth of a younger sibling. Academic Pediatrics. In press.
  2. Kaciroti N*, Yian H*, Yaping J, Xing l, Guobin X, Richards B, Ming L, Lozoff B. Inadequate iron stores in early term neonates. Journal of Perinatology. In press. *Share first authorship.
  3. Silver M, Shao J, Zhu B, Xu L, Li M, Chen M, Xia Y, Kaciroti N, Lozoff B, Meeker J. Prenatal organophosphate insecticide exposure and infant sensory function. International Journal of Hygiene and Environmental Health. In press.
  4. Brook R, Kaciroti N, Bakris G, Dahlö B, Pitt B, Velazquez E, Weber M, Zappe D, Hau T, Jamerson K for the ACCOMPLISH investigators. Prior medication and cardiovascular benefits from combination angiotensin converting enzyme inhibition plus calcium channel blockade among high-risk hypertensive patients. Journal of American Heart Association. In press.
  5. Shah P, Weeks H, Richards B, Kaciroti N. Early childhood curiosity and kindergarten reading and math academic achievement. Pediatric Research. In press.
  6. Shakkottai A, Kaciroti N, Kasmikha L, Nasr S. Impact of home spirometry on medication adherence among adolescents with cystic fibrosis. Pediatric Pulmonology. 2018; 53(4), 431-436.
  7. Lumeng J, Miller A, Appugliese D, Rosenblum K, Kaciroti N. Picky eating, pressuring feeding, and weight gain in toddlers. Appetite. 2018; 123: 299-305.
  8. Shellhaas R, Kenia P, Hassan F, Barks J, Kaciroti N, Chervin R. Sleep-disordered breathing is ubiquitous among newborns with myelomeningocele. Journal of Pediatrics. 2018;194: 244-247.
  9. Bauer K, Haines J, Miller A, Rosenblum K, Appugliese D, Lumeng J, Kaciroti N. Maternal restrictive feeding and eating in the absence of hunger among toddlers: a cohort study.2017; 14:172.
  10. Miller A, Kaciroti N, Sturza J, Retzloff L, Rosenblum K, Vazquez D, Lumeng J. Associations between stress biology indicators and overweight across toddlerhood. 2017; 79; 98-106.
  11. Clark NM, Janz NK, Dodge J, Lin X, Trabert BJ, Kaciroti N, Mosca L, Wheeler JRC, Keteyian S, Jersey Liang J. (2009). Heart disease management by women: Does intervention format matter? Health Education and Behavior., 36(2), 394-409.
  12. Julius S, Nesbitt S, Egan B, Weber MA, Michelson EL, Kaciroti N, Black HR, Grimm RH, Messerli FH, Oparil S, Schork MA, for the Trial of Prevention Hypertension (TROPHY) Study Investigators. (2006). Feasibility of Treating Prehypertension with an Angiotensin-Receptor Blocker. New England Journal of Medicine., 354: 1685-97.