Form 1 Statistics CS Survey

Background Information

OMB No: 0925-0648
Expiration Date: 05/31/2020

Collection of this information is authorized by The Public Health Service Act, Section 411 (42 USC 285a). Rights of study participants are protected
by The Privacy Act of 1974. Participation is voluntary, and there are no penalties for not participating or withdrawing from the study at any time.
Refusal to participate will not affect your benefits in any way. The information collected in this study will be kept private to the extent provided by
law. Names and other identifiers will not appear in any report of the study. Information provided will be combined for all participants and reported
as summaries. You are being contacted on-line to complete this instrument so that we can improve class offerings.

Public reporting burden for this collection of information is estimated to average 7 minutes per response, including the time for reviewing
instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of
information. An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a
currently valid OMB control number. Send comments regarding this burden estimate or any other aspect of this collection of information,
including suggestions for reducing this burden to: NIH, Project Clearance Branch, 6705 Rockledge Drive, MSC 7974, Bethesda, MD 20892-7974,
ATTN: PRA (0925-0648). Do not return the completed form to this address.

The NIH Library is soliciting feedback to better our service delivery. We are seeking your input as you have previously registered for a
session on a statistical, data, or writing topic. Please take 5-7 minutes to complete the following questions to guide us in determining
interest in these types of classes at NIH.

1. What is your Institute or Center?

2. Please select the area that best fits your primary role.
Affiliate (student, fellow, trainee, etc.)
Clinical Staff
Extramural Grants Management
Intramural Research
Laboratory Technician
Legal / Business Development / Technology Transfer
Scientific Administration / Policy / Analyst
Other (please specify)

Training Topics

* 3. Please choose approximately 5-7 topics of interest for classes:
Bayesian vs. Non-Bayesian Statistics
Case-control and cohort designs
Common statistical misconceptions and errors
Complex sample survey data analysis
Confounding, effect modification, and mediation
Exploratory data analysis
How to interpret different kinds of data/statistical results
How to properly apply statistical tests
How to read and interpret a scientific paper (from a statistical perspective)
Inferential data analysis
Introduction to hypothesis testing
Longitudinal data analysis
Methodological guidelines for preparing studies and data for analysis
Overview of clinical research study designs
Parametric vs. Non-Parametric methods
Power and sample size calculations
Principles of randomization
Regression
Repeated measures data analysis
Statistical analysis of clinical trials
Statistical considerations in preparing a manuscript
Statistics for basic science
Survival analysis
Other (please specify)

* 4. For the statistical topics you selected above, which software program would you prefer to use for
learning the selected topics?
R
SAS
STATA
Other (please specify)

Statistical Software

5. What type of statistical software packages do you curently use? What type would you like to access in
the NIH Library? (* Titles are already available at the NIH Library)
Currently Use
JMP*
MATLAB*
Microsoft Access
Microsoft Excel*
OpenRefine*
R and R Studio*
SAS
SPSS*
Stata*
Other software used

NIH Library Access

Days, Times, and Format

6. Which days of the week work best for you to attend classes?
Monday
Tuesday
Wednesday
Thursday
Friday

7. What are the best times for you to attend?
8 am - 10 am (early morning)
10 am - 12 pm (mid-morning)
12 pm - 1 pm (lunch hour)
1 pm - 3 pm (early afternoon)
3 pm - 5 pm (late afternoon)

8. What is your preferred class length?
.5 hours
1 hour
1.5 hours
2 hours
half day
full day

9. Please rank the class formats in order of preference:
In person classes

Webinar

Hybrid (in person or webinar)

Drop-in office hours

One-on-one consultation or training

10. How important is a hands-on component to the class?
Not at all Important

Not so Important

Somewhat Important

Very Important

Extremely Important

11. If you are interested in teaching a class, please provide your contact information below along with class
topics
Name
Email Address
Phone Number
Class Topics

12. Please provide any other ideas, comments, or suggestions that you would like for us to consider.