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Soutrik Mandal

Soutrik Mandal

Assistant Professor, Department of Population Health

Keywords
Biostatistics, statistical computation, statistical methods, survival analysis
Summary

I am interested in developing novel methodologies for solving biostatistical problems with real-world applications. My two primary research areas include semiparametric and nonparametric methods in survival analysis, specifically truncation and interval censoring of survival times, and measurement error problems for high-dimensional data. My research often has a computational aspect including parallel computing using high performance computing facilities. I have written novel R codes and Fortran subroutines for my research which can be found on my GitHub page below or on the CRAN-R Project website.

Academic office

180 Madison Avenue

2nd Floor, Office 223

New York, NY 10016

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Positions

Assistant Professor, Department of Population Health at NYU Grossman School of Medicine

Non-parametric estimation of the age-at-onset distribution from a cross-sectional sample

Mandal, S; Qin, J; Pfeiffer, R M

Biometrics. 2023 Sep; 79(3):1701-1712

Incorporating survival data into case-control studies with incident and prevalent cases

Mandal, Soutrik; Qin, Jing; Pfeiffer, Ruth M

Statistics in medicine. 2021 Dec 10; 40(28):6295-6308

Analysis of linear transformation models with covariate measurement error and interval censoring

Mandal, Soutrik; Wang, Suojin; Sinha, Samiran

Statistics in medicine. 2019 Oct 15; 38(23):4642-4655

On the Reproducibility of Psychological Science

Johnson, Valen E; Payne, Richard D; Wang, Tianying; Asher, Alex; Mandal, Soutrik

Journal of the American Statistical Association. 2017; 112(517):1-10

A comparative study of two-sample tests for interval-censored data

Hu, Linhan; Mandal, Soutrik; Sinha, Samiran

Journal of statistical computation & simulation. 2021; 91(18):3894-3916

Estimating the overall fraction of phenotypic variance attributed to high-dimensional predictors measured with error

Mandal, Soutrik; Kim, Do Hyun; Hua, Xing; Li, Shilan; Shi, Jianxin

Biostatistics (Oxford, England). 2023 Feb 16;

Who enrolls and why? Examining center-specific underlying patterns behind enrollment: a New York City-based traumatic brain injury model systems study

Ahmed, Asim; Smith, Michelle; Mandal, Soutrik; Bushnik, Tamara

Brain injury. 2024 Jan 14; 1-7

See All Publications (8)