Tushar Srivastava

BSc (Mathematics Hons.), MSc (Statistics and Computing)

School of Health and Related Research

Research Associate

t.srivastava@sheffield.ac.uk
+44 114 222 0810

Full contact details

Tushar Srivastava
School of Health and Related Research
1012/13
Regent Court (ScHARR)
30 Regent Street
Sheffield
S1 4DA
Profile

Tushar joined ScHARR (HEDS section) as a Research Associate (Health Economics and Decision Modelling) in August 2018. Prior to this, he worked as a consultant (Economic Modeller) in a HEOR consultancy firm for over three years in India and the USA.

By training, he hold a BSc (Hons) degree in Mathematics from the University of Delhi and an MSc degree in Statistics and Computing from Banaras Hindu University (BHU), India.

Tushar employ knowledge of various modelling techniques in his projects including, state transition, partitioned survival, multi-state and disease transmission dynamic models. He has developed user-friendly decision models for many disease area including oncology and infectious diseases. Besides, he also possess a vast experience in HTA submissions especially in European and Latin American countries. Tushar enjoy programming and has hands-on expertise in variety of tools including Excel (VBA), Mathematica, R, SAS, C++, SPSS and CS-Pro.

Currently, Tushar is working on NIHR pre-doctoral research award. Through this award, Tushar is focusing on methodological issues around statistics and health economic modelling. In particular, he is exploring the following two topic areas: current methodologies for estimating transition probabilities (TPs) in state transition and multi-state models and the potential role of causal inference (CI) in this context. CI methods estimate causal effects in the presence of confounding and could be useful when TPs are estimated from data which are prone to confounding e.g. from observational data or post-randomisation RCT data.

Research interests
  • Development of novel methods in decision analytical modelling
  • Cancer Modelling
  • Causal Inference
  • Application of statistics in health economics 

Current projects

  • Economic evaluation (using decision analytical model) of maintenance therapy in multiple myeloma 
  • Economic evaluation (using decision analytical model) of Cancer electronic risk assessment tool (eRAT) in gastro-oesophageal (G-O) cancers
Publications

Show: Featured publications All publications

Journal articles

Conference proceedings papers

  • Srivastava T, Strong M, Stevenson MD & Dodd P (2019) PNS337 IMPROVING ON CYCLE CORRECTIONS FOR TIME-HOMOGENEOUS MARKOV MODELS. Value in Health, Vol. 22 (pp S821-S821) RIS download Bibtex download
  • Daniels VJ, Postma MJ, Srivastava T, Lu IX, Chen Y & Alemayehu B (2018) COST-EFFECTIVENESS OF ROTAVIRUS VACCINATION IN THE NETHERLANDS – A DISEASE TRANSMISSION DYNAMIC MODELING APPROACH. Value in Health, Vol. 21(Supplement 3) (pp S227-S227) RIS download Bibtex download

Reports

All publications

Journal articles

Conference proceedings papers

  • Srivastava T, Strong M, Stevenson MD & Dodd P (2019) PNS337 IMPROVING ON CYCLE CORRECTIONS FOR TIME-HOMOGENEOUS MARKOV MODELS. Value in Health, Vol. 22 (pp S821-S821) RIS download Bibtex download
  • Daniels VJ, Postma MJ, Srivastava T, Lu IX, Chen Y & Alemayehu B (2018) COST-EFFECTIVENESS OF ROTAVIRUS VACCINATION IN THE NETHERLANDS – A DISEASE TRANSMISSION DYNAMIC MODELING APPROACH. Value in Health, Vol. 21(Supplement 3) (pp S227-S227) RIS download Bibtex download

Reports

Teaching interests
  • Tutor: Course tutor for "Introduction to cost-effectiveness modelling" module (HAR6240) for MSc Economics and Health Economics, ScHARR, The University of Sheffield
  • Supervision: MSc HEDM dissertation, MSc iHTA dissertation 
  • Marker: MSc Economics and Health Economics module HAR6240
Professional activities

Tushar is currently a member of International Society of Pharmaceutical and Outcome Research (ISPOR) and Health Economics Study group (HESG). Within ScHARR, he is a member of the Modellers Academic Group (MAG) and Statistics Academic Group (StAG). He frequently peer-reviews manuscripts and conference abstracts.