Sexual orientation disparities in adverse pregnancy outcomes.
Chakraborty P, Schroeder E, Reynolds CA, McKetta S, Obedin-Maliver J, Austin SB, Everett B, Haneuse S, Charlton BM.
Am J Obstet Gynecol. 2024 Mar 05. PMID: 38453134
Director of Graduate Studies
Biostatistics
Harvard T.H. Chan School of Public Health
My statistical research interests broadly focus on the design and analysis of observational studies, primarily in the context of epidemiology.
I have a relatively broad range of research interests, most of which are within the context of the design and analysis of observational studies. The three areas that collectively represent my primary focus are:
The analysis of semi-competing risks survival data, where interest lies the distribution of some non-terminal event but that observation time is subject to truncation by death.
The use of biased sampling schemes to mitigate biases that commonly arise in observational studies, including confounding and selection bias, as well as to enhance statistical efficiency in resource-limited settings.
The use of data from large, complex electronic health record and administrative databases for public health research.
In addition, there are a number of areas that I have either dabbled in or begun thinking about, but haven't had a chance to fully develop:
Hospital/provider profiling.
Statistical methods for the analysis of multi- and trans-generational studies.
The use of non-parametric Bayesian formulations to (i) gain insights into mechanisms and/or etiology, and (ii) overcome the consequences of model misspecification, particularly in the analysis of correlated or longitudinal data.
Methods for causal inference when the treatment of interest is continuous.
The development of new strategies for monitoring and evaluation of public health programs in resource-limited settings.
The use of biased sampling schemes in the context of prediction studies.
I have also worked and published in a broad range of substantive areas, including:
Breast cancer screening
Alzheimers' disease
Long-term outcomes among patients undergoing bariatric surgery
Readmission and mortality among patients diagnosed with cancer
LGBQT health
Skin cancer prevention among survivors of childhood cancer
HIV/AIDS, particularly in low-income countries
Chakraborty P, Schroeder E, Reynolds CA, McKetta S, Obedin-Maliver J, Austin SB, Everett B, Haneuse S, Charlton BM.
Am J Obstet Gynecol. 2024 Mar 05. PMID: 38453134
Chen R, Wang J, Pederson AM, Prather AA, Hirst AK, Ackley S, Hokett E, George KM, Mungas D, Mayeda ER, Gilsanz P, Haneuse S, Whitmer RA, Glymour MM.
Alzheimers Dement (N Y). 2024 Jan-Mar. 10(1):e12441. PMID: 38356481
Sun S, Lomachinsky V, Smith LH, Newhouse JP, Westover MB, Blacker D, Schwamm L, Haneuse S, Moura LMVR.
medRxiv. 2024 Feb 08. PMID: 38370813
Guenette JP, Lynch E, Abbasi N, Schulz K, Kumar S, Haneuse S, Kapoor N, Lacson R, Khorasani R.
AJR Am J Roentgenol. 2024 Jan 31. PMID: 38294159
Guenette JP, Lynch E, Abbasi N, Schulz K, Kumar S, Haneuse S, Kapoor N, Lacson R, Khorasani R.
J Am Coll Radiol. 2024 Jan 12. PMID: 38220042
Rencsok EM, Slopen N, McManus HD, Autio KA, Morgans AK, McSwain L, Barata P, Cheng HH, Dreicer R, Gerke T, Green R, Heath EI, Howard LE, McKay RR, Nowak J, Pileggi S, Pomerantz MM, Rathkopf DE, Tagawa ST, Whang YE, Ragin C, Odedina FT, Kantoff PW, Vinson J, Villanti P, Haneuse S, Mucci LA, George DJ.
Cancer Res Commun. 2024 Jan 08. 4(1):55-64. PMID: 38108490
Goddard FGB, Hunegnaw BM, Luu J, Haneuse SJPA, Zeleke M, Mohammed Y, Bekele C, Tadesse D, Solomon M, Bekele D, Chan GJ.
JAMA Netw Open. 2024 Jan 02. 7(1):e2352856. PMID: 38265800
Pons-Duran C, Bekele D, Haneuse S, Hunegnaw BM, Alemu K, Kassa M, Berhan Y, Goddard FGB, Taddesse L, Chan GJ.
PLOS Glob Public Health. 2023. 3(11):e0001912. PMID: 37967078
Trueger NS, Aly E, Haneuse S, Huang E, Berkwits M.
JAMA. 2023 10 24. 330(16):1583-1585. PMID: 37773505
Maleyeff L, Wang R, Haneuse S, Li F.
Stat Med. 2023 11 30. 42(27):5054-5083. PMID: 37974475
During pregnancy, sexual minority women are 50% more likely to experience stress and depression, and are more likely to use antidepressants, compared to their heterosexual counterparts, according to a new study.
Through predictive models, it may be possible to identify pregnant women in low-resource settings who are at high risk of failing to attend antenatal care, in order to develop interventions to encourage their attendance, according to a new…
The more uninterrupted sleep infants get, and the fewer times they wake up, the lower their odds of being over overweight, according to a new study.
Harvard SOGIE (Sexual Orientation and Gender Identity and Expression) Health Equity Research Collaborative celebrates its 10th anniversary during Pride Month 2021.