プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

★★★★★

☆☆☆☆☆

Dr. Amit S.に依頼

India

Experienced Biostatistician | Study Design, Data Analysis, Statistical Programming (R/Stata) & Publication Support

プロフィール概要

Biostatistician at AIIMS New Delhi with expertise in statistical modeling, biostatistics, data analysis, and research methodology. Experienced in supporting clinical and academic research through advanced statistical consulting and scientific publications.

専門分野

• ☆ Biostatistics
• ☆ Statistics
• ☆ Statistical Theory
• ☆ Applied Statistics
• ☆ Social Statistics
• ☆ Meta-Analysis
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Nonlinear Regression
• ☆ Bayesian Statistics
• ☆ Correlation Analysis
• ☆ Statistical Computing
• ☆ Mathematical Statistics
• ☆ Study Design
• ☆ Statistical Review
• ☆ Spatial Statistics
• ☆ Medical Statistics
• ☆ Health Data Analysis
• ☆ R

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Clinical Trial Documentation, Medical Writing, Non-Medical Regulatory Writing, Technical Writing

Research Gap Analysis, Scientific and Technical Research, Secondary Data Collection

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Data Visualization, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

職務経験

Statistician

All India Institute of Medical Sciences

3月 2024 - 現在

Guest Faculty

Chaudhary Charan Singh University

2月 2021 - 1月 2024

学歴

Ph.D. (Department of Statistics)

Chaudhary Charan Singh University

2月 2021 - 7月 2024

M.Sc. (Department of Statistics)

Chaudhary Charan Singh University

8月 2017 - 7月 2019

認定資格

• Basic course in biomedical research

  ICMR

  https://www.linkedin.com/in/dr-amit-singh-nayal-602214147/recent-activity/all/

  1月 2022 - 現在

出版物

JOURNAL ARTICLE

Abhishek Tyagi, Kartik Waliya, Alka Chaudhary, Amit Singh Nayal (2026). Reliability Analysis for a Mixed Poisson‐Lindley Stress‐Strength Model . Quality and Reliability Engineering International.

Abhishek Tyagi, Kartik Waliya, Alka Chaudhary, Amit Singh Nayal (2026). Reliability Analysis for a Mixed Poisson‐Lindley Stress‐Strength Model . Quality and Reliability Engineering International.

Amit Singh Nayal, Pedro Luiz Ramos, Abhishek Tyagi, Bhupendra Singh (2026). Improving inference in exponential logarithmic distribution . Communications in Statistics - Simulation and Computation.

Jyoti Singh, Ankit Kumar, Anupma Singh, Amit Singh Nayal, Dharmendra Pratap (2026). Green synthesized silver and zinc oxide nanoparticles with antifungal, DNA protection, DNA cleavage, and cytotoxic activities . Scientific Reports.

Amit Singh Nayal (2026). Comparative study of estimation methods for the Teissier distribution: performance evaluation and real-world applications . International Journal of Modelling and Simulation.

Amit Singh Nayal (2026). Comparative study of estimation methods for the Teissier distribution: performance evaluation and real-world applications . International Journal of Modelling and Simulation.

Amit Singh Nayal (2026). Comparative study of estimation methods for the Teissier distribution: performance evaluation and real-world applications . International Journal of Modelling and Simulation.

Komal Singh, Amit Singh Nayal, Haren Ram Chiary, Ashu Chaudhary, Sourabh Kumar, Bindu Sharma, Bhupendra Singh, Hridaya Shanker Singh, Anshu Chaudhary (2025). Molecular data reveal diversity of Tylodelphys spp. (Trematoda: Diplostomidae) in India: with evidence of new lineages, morphology and statistical analysis . Molecular Biology Reports.

Amit Singh Nayal, Pedro Luiz Ramos, Abhishek Tyagi, Bhupendra Singh (2025). Improving inference in exponential logarithmic distribution . Communications in Statistics - Simulation and Computation.

Amit Singh Nayal, Abhishek Tyagi, Shubhi Rathi, Bhupendra Singh (2024). Inferences on stress-strength reliability R=P[Y<X<Z] for progressively type-II censored Weibull half logistic distribution . OPSEARCH.

Amit Singh Nayal, Bhupendra Singh, Vrijesh Tripathi, Abhishek Tyagi (2024). Analyzing stress-strength reliability δ =P [U<V<W]: a Bayesian and frequentist perspective with Burr-XII distribution under progressive Type-II censoring . International Journal of System Assurance Engineering and Management.

Jyoti Singh, Ankit Kumar, Amit Singh Nayal, Sagar Vikal, Gyanika Shukla, Amardeep Singh, Anupma Singh, Sakshi Goswami, Ashwani Kumar, Yogendra K. Gautam, et al. (2024). Comprehensive antifungal investigation of green synthesized silver nanoformulation against four agriculturally significant fungi and its cytotoxic applications . Scientific Reports.

Amit Singh Nayal, Abhishek Tyagi, Bhupendra Singh, Varun Agiwal(2023). Analysing Random Censored Data from Discrete Teissier Model . Reliability: Theory & Applications. Reliability: Theory & Applications

Amit Singh Nayal, Bhupendra Singh, Abhishek Tyagi, Christophe Chesneau(2023). Classical and Bayesian inferences on the stress-strength reliability R = P[Y<X<Z] in the geometric distribution setting . AIMS Mathematics. 8. (9). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 20679--20699. American Institute of Mathematical Sciences ({AIMS})

Singh, B., Nayal, A.S., Tyagi, A.(2023). Estimation of P[Y&lt; Z] under Geometric-Lindley model . Ricerche di Matematica.

Bhupendra Singh, Ravindra Pratap Singh, Amit Singh Nayal, Abhishek Tyagi(2022). Discrete Inverted Nadarajah-Haghighi Distribution: Properties and Classical Estimation with Application to Complete and Censored data . Statistics, Optimization &amp; Information Computing. 10. (4). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1293--1313. International Academic Press

Singh, B., Agiwal, V., Nayal, A.S., Tyagi, A.(2022). A Discrete Analogue of Teissier Distribution: Properties and Classical Estimation with Application to Count Data . Reliability: Theory and Applications. 17. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 340-355.