Gajendra Pawar Email and Phone Number

Deep Interest in Applications of statistics to various research areas followed by clinical research👉 Bio-Statistical knowledge:🔹 Hypothesis, p-value, types of data, confidence interval, type I/II error - Sample Size calculation🔹 Randomization schedule using SAS programming🔹 Parametric and Non-Parametric Biostatistical tests: t-test, ANOVA, ANCOVA, Chi-square, F-test, sign test, RMANOVA, Linear regression, CI🔹 Conclusion & interpretation of Statistical results🔹 Pharmacokinetic parameters and analysis - Bioequivalence analysis - Basic understanding of SAP (Statistical Analysis Plan), Mockshells🔹 Basic understanding of SOP and Guideline terminology👉Knowledge of basic SAS programming:• Data management: Concatenating, Merging, Handling missing values, Reading raw data files, creating data structures, Handling data and programming errors, Accessing data, Appending data and managing data.• Expertise in SAS/BASE with basic knowledge of PROC SQL and MACRO• Import-Export data using various techniques like PROC IMPORT, PROC EXPORT, LIBNAME, INFILE, PROC PRINT statements• SAS/ODS process to create useful outputs in different formats• Statistical analysis: PROC GLM, PROC MIXED, PROC MEANS, PROC FREQ, PROC UNIVARIATE, PROC REG, procttest, proc npar1way for various statistical analyses• Clinical trial Report: PROC REPORT, Tables, Listings and Figures (TLF)• Basic knowledge of CDISC Standard- SDTM & ADaM and Regulatory Requirements.👉 Software:SAS, R, MINITAB, Python, MATLAB, LATEX, SQL