Advanced Analytics for Clinical Data Full Event Guide

February 1-2, 2017, San Francisco
Researched & Developed By:
The Leading Event Dedicated to the Successful
Application of Advanced Analytics in Clinical R&D
Tel: +1 212 537 5898 | Email: info@hansonwade.com
www.advancedanalytics-clinicaldata.com
Hear from 18+ Expert
Speakers Including:
James Cai, PhD.
Head of Data Science
Roche
Ray Liu, PhD.
Senior Director & Head of Statistical
Innovation & Consultation
Takeda Pharmaceuticals Inc.
Spyros Papapetropoulos, PhD.
Vice President & Global Head of
Neurodegeneration, Movement Disorders &
Clinical Research Innovation
TEVA Pharmaceuticals
Todd Townsend, PhD.
Commissioner’s Fellow
United States Food & Drug Administration
(FDA)
Margaret McDonald, PhD.
Senior Director, Real World Data & Analytics
Pfizer
Advancing Your Understanding of
Clinical Data Science
This is a great event!
Something that provides a
much needed direction to
the Big Data community.
Sanofi, Past Attendee,
Hanson Wade Event
Book now and save up to $800
Pre-Conference Workshop
January 31, 2017
Advanced Analytics for Clinical Data

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Advanced Analytics for Clinical Data | San Francisco
February 1-2, 2017
Tel: +1 212 537 5898 Email: info@hansonwade.com
www.advancedanalytics-clinicaldata.com Advanced Analytics for Clinical Data
Hear practical case studies on how to
implement data analytics from biostatistics, to
omics or wearables
Use analytics to unlock efficiency from risk
based monitoring
It was a very helpful
meeting and I was glad to
share some of our current
methods of data analytics
with the others present at the
occasion.
Purdue Pharma, Past Attendee,
Hanson Wade Event
A great meeting of minds
on the subject of Big Data.
It attracts an excellent mix
of thought leaders and fresh
young thinkers.
Moderna Therapeutics, Past Attendee,
Hanson Wade Event
I found the meeting
very valuable as it brought
together industry leaders
with insightful presentations.
This was a great development
opportunity.
Astellas Pharma, Past Attendee, Hanson
Wade Event
Discover how leading organizations are
extracting real value from massive data sets
and new data sources
Get ahead as the industry moves from ‘data
management’ to ‘data science’
Hear What Previous
Attendees Have To Say:
Tackle the main challenges in data quality,
standards and integration
Understand how Real World Data can be
harnessed to optimize clinical trial design
10 reasons why you can’t miss Advanced
Analytics for Clinical Data 2017
Learn how to enable new and adaptive trial
designs for the era of precision medicine
Explore how mHealth and wearable devices
can reduce costs and accelerate clinical trials
Enhance operational analysis in clinical trials
to improve feasibility assessments and site
selection
Understand the existing FDA regulations and
standards in the use of wearables for real time
monitoring in clinical trials
Welcome to Advanced Analytics
for Clinical Data 2017
Discover How the Data Revolution is Allowing for
Better Decision-Making Across the Drug
Development Process
Advanced Analytics for Clinical Data 2017 brings together the leading experts
in clinical data science, clinical innovation and clinical data management
from major pharmaceutical and biotechnology companies. This meeting
focuses on how to effectively implement big data analytics and data-driven
methodologies in your clinical research.
This industry-led agenda will enable you to learn from the experience of
institutions that are successfully applying advanced analytics to accelerate
clinical R&D – from biostatistics to data visualization, Real World Data and
wearables.
Engage with your peers to address key areas of common interest including
machine learning and data mining, as well as new data sources and real time
monitoring.
This summit will ensure that you leave with an essential guide to how your
organization can integrate data analytics to deliver increasingly better, faster
and more efficient outcomes in clinical trials.
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Speakers
Abhik Bhattacharya, PhD.
Senior Director
& Global Head
of Analytics
Astellas US LLC.
David S. Reasner, PhD.
Vice President, Data
Science & Head, Study
Endpoints
Ironwood
Pharmaceuticals
Elena Izmailova, PhD.
Senior Director of
Devices & Novel Data
Streams, Data Science
Institute
Takeda
Pharmaceuticals Inc.
Ankit Lodha
Analytics Operations
Lead in Clinical
Systems & Analytical
Reporting (CSAR)
Amgen
Elizabeth Cheney
Director & Head
of Clinical Data
Management &
Programming
Karyopharm
Therapeutics Inc.
David Moriarty, PhD.
Vice President,
Clinical Operations,
Data Management &
Strategic Outsourcing
Jazz Pharmaceuticals
James Cai, PhD.
Head of Data
Science
Roche
John Rodermund
Global Head
Clinical Research
Data Management
& Centralized
Monitoring
AstraZeneca
Leonardo
Rodrigues, PhD.
Associate Director,
Advanced Analytics
Berg LLC.
Margaret
McDonald, PhD.
Senior Director,
Real World Data &
Analytics (RWDnA)
Pfizer
Nina Mian
Head of Biomedical
Informatics, Advanced
Analytics Center
AstraZeneca
Rajneesh Patil
Senior Director,
Clinical Development
Quintiles
Ramses Sadek, PhD.
Professor of
Biostatistics & Head
of Cancer Clinical
Trial Biostatistics Unit,
Georgia Cancer Centre
Augusta University
Ray Liu, PhD.
Senior Director &
Head of Statistical
Innovation &
Consultation
Takeda
Sandy Farmer, PhD.
Executive Director,
Enterprise Scientific
Technology Operations,
Worldwide R&D
Pfizer
Spyros
Papapetropoulos, PhD.
Vice President &
Global Head of
Neurodegeneration,
Movement Disorders
& Clinical Research
Innovation
TEVA Pharmaceuticals
Todd
Townsend, PhD.
Commissioner’s
Fellow
United States
Food & Drug
Administration
(FDA)
Tony Cavaliere
Global Head of
Data Sciences &
Standards
Novartis
February 1-2, 2017

February 1-2, 2017
Conference Day One | Wednesday, February 1, 2017
8.00 Registration
Tony Cavaliere,
Global Head of Data
Sciences &
Standards, Novartis
8.50 Chairman’s Opening Remarks
Data Science in Clinical Drug Development – Big Data & Advanced Analytics
James Cai, PhD.,
Head of Data
Science, Roche
Sandy Farmer,
PhD., Executive
Director, Worldwide
R&D, Pfizer
Spyros
Papapetropoulos,
PhD., VP & Global
Head of Clinical
Research
Innovation, TEVA
Pharmaceuticals
9.00 Keynote Panel: The Rise of Data Science – Understanding the
Ground-Breaking Changes Behind Clinical Research
• Evaluating the power of data science in revolutionizing clinical trials
• Assessing the new era of Precision Medicine – what leads and defines the strategy in
pharmaceutical companies in the ever-growing data-driven clinical R&D landscape
• Driving innovation in the clinical research phase of drug development: from new data
sources, to new analytic tools and capabilities – what to look out for
• Discovering the potential of data analysis in the development of new trial designs
James Cai, PhD.,
Head of Data
Science, Roche
9.45 Keynote Case Study: Making Use of Data & Data Science to Boost
Clinical R&D
• Understanding Clinical Data Science – the different angles around the impact of data
analytics in the clinical research environment
• Uncovering the use of genomic data to find and validate biomarkers when no pre-clinical
data is available
• Making use of data sets from various sources to enable better patient monitoring
• Evaluating the data-driven initiative at Roche to expand existing adult patient drugs
to pediatric cancer care – assessing the population and developing new algorithms to
analyze data
• Using smartphone data and wearables as digital biomarkers and predicting patient
phenotypes
10.15 Morning Refreshments & Networking
Meet your peers in this structured and interactive networking session designed to ensure you make the most new
connections possible in the early stages of the conference. Bring plenty of business cards!
The meeting was very well-organized and the overall
calibre of the speakers was very high.
Genzyme, Past Attendee, Hanson Wade Event

February 1-2, 2017
Ankit Lodha,
Lead in Clinical
Reporting (CSAR),
Amgen
David S. Reasner,
PhD., VP, Data
Science & Head,
Study Endpoints,
Ironwood
Pharmaceuticals
Leonardo
Rodrigues, PhD.,
Associate Director,
Advanced Analytics,
Berg LLC.
Ray Liu, PhD., Senior
Director & Head of
Statistical Innovation
& Consultation,
Takeda
11.00 Panel Discussion: Big data in Clinical Trials – Leveraging Data to
Extract Meaningful Insight
• Making use of data sets – why is only a small fraction of data being used?
• Evaluating the new data sources that can impact clinical trials and the main challenges
around them including:
• Real World Data
• Omics
• Data collected from wearables
• Harnessing the full potential of clinical data – what are the possibilities and how to
leverage that?
• Addressing the major technical challenges
• Data selection and standardization
• Data cleaning and filtering
• Data integration
• Data analysis
• Data visualization
• Tackling the major cultural challenges – changing the industry’s mindset to embrace and
understand data innovation
Ray Liu, PhD., Senior
Director & Head of
Statistical Innovation
& Consultation,
Takeda
11.45 Joint Analysis – Statistical Innovation to Maximize the Insights
from Big Data Integration
• Evaluating the new challenges and opportunities for data scientists presented by big data
integration
• Discovering how appropriate joint analysis increases power and generates novel insights
on integrated data
• Exploring case studies on various joint analysis frameworks and their utilities
12.15 Lunch & Networking
Ankit Lodha,
Lead in Clinical
Reporting (CSAR),
Amgen
1.15 Clinical Analytics – Next Generation of Predictive &
Prescriptive Dashboards for Clinical Trials
• Defining Clinical Analytics – understanding the capabilities and usefulness of insights in
the clinical development program
• Developing metrics for big data analysis in clinical trials – handling industry best
practice and company specific metrics
• Mining different layers of data – the challenges of clinical data analysis and visualization
for stakeholders
• Harmonizing data – how to combine multiple data sets
• Case studies on how to uncover unmet needs, spot growth opportunities, inform trial
design, and competitive differentiation using advanced analytics
Leonardo Rodrigues,
PhD., Associate
Director, Advanced
Analytics, Berg LLC.
1.45 The Multi-Omics & AI Approach – Incorporating Data-Driven
Actionable Insights Into Drug Development
• Harnessing high throughput proteomics, lipidomics and metabolomics for biomarker
identification and drug response prediction – implementing patient stratification
• Applying AI algorithms and analytical tools to structure, process and analyze different
types of data from trial screenings (clinical, biological, demographics and outcomes data)
• Delivering insight in a way that actionable measures can be taken by senior
management – properly communicating results
• Housing omics, analytics and R&D under the same roof – the competitive advantage of
inter-team collaboration

February 1-2, 2017
The Current Challenges in Clinical Data Management
David Moriarty, PhD., VP,
Clinical Operations, Data
Management & Strategic
Outsourcing, Jazz
Pharmaceuticals
Elizabeth Cheney, Director
& Head of Clinical Data
Management &
Programming, Karyopharm
Therapeutics Inc.
John Rodermund, Global
Head Clinical Research
Data Management &
Centralized Monitoring,
AstraZeneca
Rajneesh Patil, Senior
Director, Clinical
Development, Quintiles
2.15 Panel Discussion: The Paradigm Shift of Clinical Data
Management – From Support to Driver in Clinical R&D
• Analyzing the new emergence of Clinical Data Management – both a practical and
cultural shift
• Marrying centralized monitoring and traditional data management – looking into
the future of an increasingly technical role
• Exploring new Clinical Data Management skills – data visualization and data
analytics
• Assessing the evolution of risk-base monitoring – data quality, data integrity and
completeness of data
• Ensuring a data governance structure
Rajneesh Patil, Senior
Director, Clinical
Development, Quintiles
3.00 Advanced & Predictive Analytics – Implementation Aspects
in Risk Based Monitoring
• Identifying and developing analytics methodologies for clinical trial conduct – case
studies for advanced analytics
• Implementing the right analytics strategies for Risk Based Monitoring – an
approach to implementable analytics
• Assessing how Novel Predictive Analytics capabilities provide new levels of insights
for study monitoring
• Advancing the use of data sciences in managing site risks, subject safety risks and
study level trends
3.30 Afternoon Refreshments & Networking
John Rodermund, Global
Head Clinical Research
Data Management &
Centralized Monitoring,
AstraZeneca
4.00 Risk-Based Monitoring – Understanding Risk Through Data
• How to evolve from human monitoring into data driven approaches
• Understanding high risk sites through data – how to redirect monitoring
resources
• More data, more accuracy, more efficiency, less resources – implementing better
data monitoring by harnessing current computing powers
• Evaluating Data Science and the improvement of Risk Management
David Moriarty, PhD., VP,
Clinical Operations, Data
Management & Strategic
Outsourcing, Jazz
Pharmaceuticals
4.30 Implementing & Running Data-Driven Trial Management –
A Case-Study
• Linking together Data Management and Clinical Operations – why Jazz
Pharmaceuticals is getting these functions to collaborate increasingly closer
• Periodic reviewing of trial data – guiding trial management professionals by data
sources
• Evaluating the challenges and benefits resulting from the data-driven approach to
trial management
• Independence of Analytics Platforms from the CROs
Elizabeth Cheney, Director &
Head of Clinical Data
Management & Programming,
Karyopharm Therapeutics Inc.
5.00 Data Management – The Central Piece Between the Clinical
Perspective & Analytics
• Makingsuredatamanagementstrategyandmethodologiesareatparwithindustrystandards
• Assessing the need to bring clinical people on board with data management
requirements and standards at the planning stage
• Ensuring the correct delivering and process of data for analytics – bringing clinical
programming in line with the data management strategy
Tony Cavaliere, Global
Head of Data Sciences &
Standards, Novartis
5.30 Chairman’s Closing Remarks
5.45 Close of Conference Day One

February 1-2, 2017
Conference Day Two | Thursday, February 2, 2017
Tony Cavaliere,
Global Head of Data
Sciences &
Standards, Novartis
8.45 Chairman’s Opening Remarks
Key Takeaways & Lessons Learned from Day One
Clinical Trial Monitoring in Real Time: mHealth & Wearable Devices
Spyros
Papapetropoulos,
PhD., VP & Global
Head of
Neurodegeneration,
Movement
Disorders & Clinical
Research
Innovation, TEVA
Pharmaceuticals
9.00 The Future of Digital Health – Challenges & Opportunities of Data-
Driven Approaches in Clinical Trials
• Exploring the prospects for digital health and data science in clinical research
• Data collection – addressing the major challenges around data intellectual property, data
sharing and data standards
• Assessing the variability of collected data and how to deal with the different paces of
technology development
• Evaluating data privacy approaches – the struggle behind handling privacy issues
• Reaching actionable insight – data collection is just the first step towards data-driven
decision-making
Elena Izmailova,
PhD., Senior
Director of Devices
& Novel Data
Streams, Data
Science Institute,
Takeda
Pharmaceuticals
Inc.
9.30 mHealth & Wearables – Collecting Clinical Outcome Data Remotely
• Exploring wearable technologies and their applications in drug development
• Consumer and medical grade devices – fit-for-purpose principle
• Overview of existing regulations for wearables
• Addressing the challenges and potential solutions of deploying wearable devices in the
clinic
Nina Mian, Head
of Biomedical
Informatics,
Advanced
Analytics Center,
AstraZeneca
10.00 Sensational Sensors & Wonderful Wearables – Uncovering
the Promise of Multivariate, Continuous, Individual Data in
Clinical R&D
• Developing capabilities to manage, integrate and analyze data collected from wearables –
a case-study on the efforts at AstraZeneca Advanced Analytics Center to derive meaning
and value for the clinical pipeline and patients
• Understanding the areas of opportunity, challenges, and successes we gleaned from our
experience to-date
• Diving into the detail of defining novel digital disease biomarkers, phenotypes and
endotypes
• Realizing value in clinical trials, and how we may forge a path to novel outcome measures
10.30 Morning Refreshments & Networking
Elena Izmailova,
PhD., Senior
Director of Devices
& Novel Data
Streams, Data
Science Institute,
Takeda
Pharmaceuticals
Inc.
Nina Mian, Head of
Biomedical
Informatics,
Advanced
Analytics Center,
AstraZeneca
11.00 Panel Discussion: One Step Further on Clinical Trial Outcome
Monitoring – Key Benefits & Challenges Around mHealth &
Wearables
• Unravelling the possibilities behind remote real-time data acquisition during clinical trials
• Proof of concept – is the technology and/or the industry ready to embrace this new
approach?
• Are regulation standards in the way or working the way towards clinical trial monitoring
with wearable devices?
• Return on investment – understanding if the results driven from wearables compensate
implementation and maintenance costs
• Patient compliance and device wearability – how to find the right balance between
technical accuracy and reliability and patient comfort

February 1-2, 2017
Todd Townsend,
PhD.,
Commissioner’s
Fellow, United
States Food &
Drug
Administration
(FDA)
11.45 Can Data Collection & Reporting from Wearable Devices Cloud,
Supplement or Replace Standard Measures in Clinical Trial
Reporting? – A Regulatory Perspective
• Maximizing data collection and analytic capacity to enrich clinical trials – balancing the
power of data volume with outcome fidelity and measurement accuracy
• Identifying, testing and mitigating risk by (theoretically and experimentally) exploring
worst case scenarios
• Ensuring biometric validation and physician sign-off – formalizing the process and
preventing data manipulation
• Understanding fit-for-purpose device accuracy and adequacy for diverse case studies –
high level overview
• Evaluating the reality of challenges of combining (unapproved) devices and drug discovery
in (FDA-Center crossing) clinical research – approval and implementation considerations
for wearable devices
12.15 Lunch & Networking
Interactive Round Table Discussions
1.15 These moderated, interactive roundtable discussions give you the chance to spend time in facilitated debate and exchange
on the issues most concerning you. Sessions are ‘off the record’ and enable to share best practice and discuss practical
solutions with peers from across the industry facing the same challenges you face every day.
3.15 Afternoon Refreshments & Networking
Real World Data in Clinical Research
Margaret
McDonald, PhD.,
Senior Director,
Real World Data &
Analytics
(RWDnA), Pfizer
3.45 Real World Data (RWD) Sources – the Health Data Revolution in
Clinical Research
• Real World Data – how to leverage RWD sources in the drug development phase and
throughout the life to support internal strategy and decision making
• Using EHRs– addressing the current challenges of data quality and granularity and
unfolding the new possibilities
• Using RWD to optimize clinical trial design and execution
Abhik
Bhattacharya,
PhD., Senior
Director & Global
Head of Analytics,
Astellas US LLC.
4.15 Assessing Clinical Trial Operational Feasibility – the Role of Data
Analysis Before Trial Start up
• Designing clinical trials – data analysis for decision making in the operational context
• Selecting where to operate the trial – which country, which site?
• Assessment factors – discussing start-up time, site performance, etc.
• Developing the algorithms to analyze design data
• Exploring potential new applications of RWD in feasibility assessments
Tony Cavaliere,
Global Head of
Data Sciences &
Standards,
Novartis
4.45 Chairman’s Closing Remarks
5.00 Close of Conference Day Two & End of Conference
Todd Townsend, PhD.,
Commissioner’s Fellow,
United States Food & Drug
Administration (FDA)
Abhik Bhattacharya, PhD.,
Senior Director & Global
Head of Analytics,
Astellas US LLC.
Rajneesh Patil,
Senior Director, Clinical
Development,
Quintiles
Ankit Lodha, Analytics
Operations Lead in Clinical
Reporting (CSAR), Amgen
Regulation &
Guidance for the Future
of Data in Clinical
Innovation: Wearables,
RWE & Adaptive
Trials
Real World Data in
Clinical Trials
CDM in Clinical
“Research:”
Centralized
Monitoring, Analytics
& Risk-Based
Monitoring
Advanced Analytics
in Clinical R&D

February 1-2, 2017
Biostatistics are involved in almost every step of the clinical
research process: from study design, to protocol development,
data management and monitoring, data analysis or clinical trial
reporting.
However, effective communication between non-statistician clinical
trial professionals and statisticians is sometimes impaired due to
misinterpretation of statistical methods and statistical concepts.
Key Takeaways:
• Understanding the full extent the role of Biostatistics in
Clinical Research
• Exploring statistical concepts that statisticians convey when
defining the statistical strategy for a clinical study
• What factors affect sample size and power determination?
• What is involved in the sample size and power estimation?
• What is the difference between clinical significance and
statistical significance?
• How to increase the power of your study?
• Is bigger always better?
In this workshop, you will learn how to ensure successful trial
design and analyses by understanding complicated statistical
terminology and getting up to speed with the key statistical
concepts in clinical R&D, with the focus on sample size and power
for study that is affected by:
• Types of endpoints
• Type of variables to be measured
• Study design
• Study phase
• Statistical method and models
• Effect size
• Risk to be taken when making a decision
• Confidence Intervals vs. Test of hypotheses
• Multiplicity
• Subgroup Analysis
Understanding Biostatistics in Clinical Research –
Sample Size & Power Considerations in Clinical Research
Date: Tuesday, January 31, 2017 | Time: 9 am – 12 pm
Dr. Sadek joined the Georgia Cancer Center in 2013 as Head of the Cancer Clinical Trials Biostatistics Unit and Professor of
Biostatistics, Department of Biostatistics and Epidemiology. Dr. Sadek came to Augusta University from BioMerieux, Inc., in
Durham, NC, where he was the Global Senior Director of Biostatistics and Data Management. He has also served as Senior
Director of Biostatistics and Data Management at the NCI-funded Radiation Therapy Oncology Group. Dr. Sadek’s academic
interests include oncology research, clinical trials design and analysis, incomplete data analysis, laboratory data analysis,
survival analysis, logistic regression, experimental design, and longitudinal studies. Dr. Sadek’s research has focused on
oncology studies, sickle cell disease, HIV, infectious diseases, anthrax, and diagnostics. He has received several awards from
the Centers for Disease Control and Prevention, where he was a team leader for 12 years, and an Outstanding Teamwork
Award from the American College of Radiology and the Education Excellence Award from the Augusta University.
Workshop leader
Ramses Sadek, PhD, Professor of Biostatistics & Head of Cancer Clinical
Trial Biostatistics Unit, Georgia Cancer Centre, Augusta University
Pre-Conference Workshop
Act now to reserve your place at Advanced Analytics
for Clinical Data 2017
Register online at:
www.advancedanalytics-clinicaldata.com/register

February 1-2, 2017
Sponsorship Opportunities
You’ll Meet People From...
Companies Attending Include
Advanced Analytics for Clinical Data 2017 will host the top
data experts from leading pharmaceutical and biotechnology
companies across the U.S., including Directors, Managers
and Heads of Clinical Data Science, Clinical Innovation,
Clinical Research and Clinical Data Management, to discuss
the need for a data-driven approach to clinical research and
drug development.
This is the perfect place to demonstrate your capability and
showcase your solution to an audience of potential buyers.
Meet and interact with stakeholders managing the purchase
and implementation of technologies such as eClinical
platforms, EDC, EPRO, clinical trial management systems,
cloud platforms, mHealth and wearables and advanced
analytics tools.
One of the biggest challenges in this market is the very
high number of largely undifferentiated vendors, with many
offering unsatisfactory or incomplete solutions.
By sponsoring this meeting, you will be positioned to stand
out from the crowd and get ahead of the competition in the
eyes of the leading decision makers.
Contact us today to discuss how you can get the best from
this opportunity.
The networking opportunities
were fantastic.
Biogen, Past Attendee, Hanson Wade Event
I really enjoy this event, very well
organized, interesting presentations
and effective networking sessions
Merck, Past Attendee, Hanson Wade Event
Become a Sponsor
Contact
Jonathan Elliot
Business Development Manager
Tel: +1 212 537 5898
Email: sponsor@hansonwade.com
Pharmaceutical 35%
Biotech 25%
CRO 5%
Academic 5%
Vendors 30%
Clinical Data Science 30%
Clinical Data Management 30%
Clinical Innovation 25%
Clinical Operations 15%
Attendance
by Company
Type:
Attendance
by Company
Type:
Attendance
by Job Title
Attendance
by Job Title
35%30%
25%
5%
5%
15%
30%
30%
25%
*Expected attendees for 2017 based on recent industry research

Industry
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Friday October 21, 2016
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Register
www.advancedanalytics-
clinicaldata.com/register
Tel: +1 212 537 5898
Email: register@hansonwade.
com
Mail:
Hanson Wade
4th Floor, 52 Grosvenor
Gardens,
London, SW1W 0AU
• 10% discount – 3 delegates
• 15% discount – 4 delegates
• 20% discount – 5 or more
delegates
*Please note that discounts are
only valid when three or more
delegates from one company
book and pay at the same time.
*Academics are entitled to a 40% discount off the Industry Pricing using the code ‘ACA’
(Please note: Discounts cannot be combined with any other offer)
Team Discounts*
Top 3 Benefits of Attending
1
2
3
Discover how to extract real value from
massive data sets and new data sources into
your clinical research endeavors
Be in tune with the industry shift from ‘data
management’ to ‘data science’
Understand how to meaningfully support
crucial decision-making for drug development
Venue
Sheraton Fisherman’s Wharf
2500 Mason Street
San Francisco, CA, 94133
www.sheratonatthewharf.com
Please note: Overnight accommodation and
travel are not included in the registration fee.
Full payment is due on registration. Cancellation and Substitution Policy:
Cancellations must be received in writing. If the cancellation is received more
than 14 days before the conference attendees will receive a full credit to a
future conference. Cancellations received 14 days or less (including the four-
teenth day) prior to the conference will be liable for the full fee. A substitution
from the same organization can be made at any time.
Changes to Conference & Agenda: Hanson Wade reserves the right to
postpone or cancel an event, to change the location or alter the advertised
speakers. Hanson Wade is not responsible for any loss or damage or costs
incurred as a result of substitution, alteration, postponement or cancellation
of an event for any reason and including causes beyond its control including
without limitation, acts of God, natural disasters, sabotage, accident, trade or
industrial disputes, terrorism or hostilities.
Data Protection: The personal information shown and/or provided by you will
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for this purpose, please write to: Database Manager, Hanson Wade, Suite A, 6
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TERMS & CONDITIONS
February 1-2, 2017
The talks were high
quality and the interaction
among participants was
excellent.
Genentech, Past Attendee,
Hanson Wade Event

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