Conspic Agenda

Note:Poster presentations will happen on Day 3 from 08:30 - 10:30 and 13:00 -14:00
  • Day 1
  • Day 2
  • Day 3

18-Sep-2014 – Conference Day 1

10:00 – 10:45 Registration
10:45 – 11:00 Welcome address
  Track 1 – Emerald 1 & 2 Track 3 – Emerald 3
11:00 – 13:00 Clinical Topics - Practice Programming Utilities
Session 1 (1) Individual Contributor to Team Lead: Ways to build an effective team – Gloria D’Souza (5) Use of Standard Programs Use of SAS functions and its effectivness across Clinical Data - Satish Honrao
(2) Is your Liver Safe? (Not asking the Alcoholics!) – Deepak Yeole (6)Utility to Archive, Update SAS programs during an ongoing study Refresh! - Vidya R
(3) Challenges in Analyzing Quality of life (QOL) Questionnaires- Sugunesh Sivalingam (7) Talaash- Search the bug before the bug bugs you - Sujoy Ghosh, Megha Agarwal
(4) Is Your Data Set Really Validated: Beware of “Blind-Fold” Validation – Neha Mohan, Gayatri Karkera (8) Automated Log Analyzer Dashboard - Palanisamy Mohan
13:00 – 14:00 Lunch
  Track 1 – Emerald 1 Track 2 – Emerald 2 Track 3 – Emerald 3
14:00 - 15:30 Clinical Topics - Practice Data Standards Programming Utilities
Session 2 (9) Decoding RT-qPCR data – Pubali Mattoo (12) New implementations in Trial summary SDTM v3.1.3 - ParimalaPriyadharsini .R (15) How to use Perl Regular Expression in Clinical data with basic examples - Harsha Chaitanya Vurugonda
(10) Dealing with missing data in clinical trials: regulatory recommended approaches and programming techniques- P V V Satyanarayana K, Sugata Das (13) Different approaches in Creation and Validation of Define.xml- Bhanumathi (16) R programming environment for Text Analytics - Manish Pathak
(11) Case study on DSUR Report - Ramkumar (14) SDTM metadata driven missing value checks - Satheesh Kantam (17) Kindly put on your 3D arrays for this feature - Anish Shah
15:30 – 16:00 Tea Break
16:00 – 17:30 Clinical Topics - Techniques Data Standards Programming Utilities
Session 3 (18) Implementation of SAS Reports for Data Cleaning- Soujanya Konda (21) ADaM implementation: Vertical Limit - Korak Datta, Vishnu Bapunaidu (24) How to assure reviewer code is not copy of programmer code in parallel programming - Sanganabasvaraj
(19) TIBCO Spotfire® Graphics: Faster, Intuitive, Reliable and Effective representation of data- Ajay Daparthi (22) Demystify ADaM Specification Creation with a Case Study Approach - Abhinav Jain (25) SAS SQL with humorous and coolest approach - Sadanand Deshmukh
(20) Pooling strategy of clinical data - Kishore Kumar Paramkusham (23) Creating Time to Event Dataset in ADaM way - Ashish Suresh Aggarwal  
17:30 – 18:15 IASCT - Annual General Body Meeting (Emerald 3)
19:00 – 22:00 Evening Reception – Emerald 1, 2, 3

19-Sep-2014 – Conference Day 2

  Track 1 – Emerald 1 Track 2 – Emerald 2 Track 3 – Emerald 3
08:30 – 10:30 Clinical Topics - Techniques Statistical Topics Programming Utilities
Session 1 (26) Meta-Analysis on continuous measures - Ranjan Tiwari (30)Generalized Estimating Equations - Ajay Singh (34) Smart R programming concepts to optimize memory (RAM) consumption and execution time - Achintya Roy
(27) Building a Smarter Mart - Maithilee Singh, Anuradha Tirumalaraju (31) Requisite of Predictive Modelling in Pharmaceutical Industry - Priyanka Dhage (35) ODS DOCUMENT & PROC DOCUMENT: A new method for appending TLFs and creating Table of contents in SAS - RavisekharJayanti
(28) A Naive Approach to Improve Productivity while programming for Tables involving Cross frequencies - Diganta Bose (32) Cox vs Kaplan for Survival Analysis - Vijayakumar Radhakrishnan (36) SCL ( A super-sized Macro)- Ganga Satish Reddy
(29) Analysis of Immunohistochemistry (IHC) data in Clinical trials - Prabhakar Munkampalli (33) Data Mining on Completed Clinical trials - Senthilnathan Ramanathan (37) SAS Data through web pages - Irfan Ali Khudawand
10:30 – 11:00 Tea Break
11:00 – 13:00 Clinical Topics - Practice Data Standards Graphics
Session 2 (38) Data integrity and Traceability On Clinical data processing- Ramakrishna Dundu (42) Metadata - core of clinical trial - Kameshwari Peri (46) Generating ‘FOREST PLOT’ effectively - ShravanMotupally, Mahesh Bandi
(39) Risk Based Monitoring in Clinical Trials- Vivek Tamrakar (43) Challenges Faced on SDTM Data Conversion for On-going Trials - Thamaraiselvan (47) Customizing graphs using Graph Template Language (GTL) - Syed Feroz, Farheen Syed
(40) ‘HOW LONG’ it would achieve…..- Praveen Krishna Nukala (44) Journey of Legacy data to TLF not my way not your way......The CDISC way - Pradeep Kumar, Gloria Dsouza (48) Understand. Annotate. Analyze - Jenny James, Shruthi Bidre Vijayakumar
(41) Comparison of Tumor evaluation criteria - WHO vs. RECIST - Hariprasad S (45) Where do you find your responses? - Pranav S, Periasamy K., Vinay Mahajan (49) Funnel and Forest plots: Challenges in creating them and "R" solution - PreritPancholiya
13:00 – 14:00 Lunch
14:00 – 22:00 Sightseeing Tour

20-Sep-2014 – Conference Day 3

08:30 – 10:30 Poster Exhibition (Pre-function Area)
10:30 – 11:00 Tea Break
  Track 1 – Emerald 1 Track 2 – Emerald 2 Track 3 – Emerald 3
11:00 – 13:00 Clinical Topics - Practice Clinical Topics - Techniques Management
Session 1 (50) Social Media and public database usage for prediction of SAEs and AEs safety database transparency- Siva Rama Krishna Sidda (54)Analyzing Adverse Events Differently- Harish Kumar (58) Building blocks - Boot camp for macro programmers - RashmiBaligidad
(51) Transition from “hands-on” statistical programmer to leading a team of Statistical Programmers- Nishanth N (55) Calculation and comparison of CTCAE grades – indeed a challenging task in oncology trial - Ratandeep Pandey (59) An innovative unified meta-analysis tool for health outcomes research - Subhajit Gupta
(52) Look into Survival Analysis From a Different Angle- Abhramoy Mandal (56) Extracting and Validating your CRF annotations (-- Achieving Efficiency through SAS) - SenthilkumarKaruppiah (60) What Happened to my Data?! - Harivardhan J
(53) Comparator outcomes profile: need for an informed assessment of secondary outcomes for conducting post-launch observational studies in the HE&OR setting- Sameer Gokhale (57) Spotfire integration with Python / R to enable decision sciences - Harsha Urlam (61) An Alternative dynamic way to Import Multiple Excel files with Multiple Worksheets into SAS - Saurabh
13:00 – 14:00 Lunch
14:00 – 15:00 Valedictory talk – Anand S (Emerald 1, 2, 3) “Patterns of analysis for large scale data”
15:00 – 15:45 Closing session (Emerald 1, 2, 3)

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