Biostatistics has become a defined branch of science that uses an intricate combination of Statistics, Probability, Mathematics and Computation to model and solve real life problems in biological and biomedical sciences. As a discipline designed to yield information, biostatistics may also be considered as a highly-developed stream which in turn forms part of the developing and expanding field of bioinformatics. Consequently, biostatistics draws quantitative methods from fields including statistics, operations research, economics, and mathematics in general; and it is applied to research questions in fields such as public health (including epidemiology, nutrition, environmental health, and health services research), genomics, proteomics, population genetics, medicine, and ecology. Research in medicine and public health has been both a beneficiary of this new methodology and a source of new problems. It is anticipated that this workshop will help the biologists, biotechnologists, biomedical scientists and students from all these streams to gain insight into statistical analyses. It will also help engineers, mathematicians, statisticians, computer scientists to explore new dimensions for their academic and research activities.

REGISTRATION FORM

CLICK HERE to register and apply

CLICK HERE to download Information Brochure



APPLICATION PROCEDURE

Submit your registration after paying the fee. Send email for any query at: stbms2022@juitsolan.in Last date of submission of application is May, 31, 2022.

Registration fee includes all working lunches/tea during the program and registration kit along with study material. Accommodation on sharing basis in JUIT hostels will be facilitated subject to availability.

Registration Fees and Accomodation

Participants Fee without accomodation (Upto JUNE 09, 2022) Fee with accomodation (Upto JUNE 09, 2022)
Student(UG/PG) 2500/- 5000/-
Research Fellows (PhD/Post doc) 3000/- 5500/-
Faculty 5000/- 7500/-
Industry/Others 6000/- 8500/-

  1. * Descriptive and inferential Statistics
  2. * Correlation and Regression: Predictors Testing, MLR, Multicollinearity, Variance inflation factor (VIF), Logistic regression
  3. * Cohort Case-control and Cross-sectional epidemiological studies
  4. * Hypothesis Testing- Parametric and Non- Parametric
  5. * Factor, Cluster and Principal Component Analysis (PCA)
  6. * Survival analysis and Stochastic Modelling
  7. * Clinical trial and dose response studies
  8. * One-two and three way ANOVA, ANOVA with repeated trials
  9. * CRD, RBD, LSD, IBD, BIBD, Factorial Designs
  10. * Multiple comparison procedures
  11. * Order Restricted Inference
  12. * Case Studies on Biological and Biomedical Data
  13. * Extensive exercise and learning on Excel, SPSS, and R










Site designed by Raj, Rohit and Siddhant, JUIT