Investigators seeking statistical support or other collaborations are encouraged to contact the SDBC as early as possible in the design of new research activities. Before making a request, please make sure you have done the following:
- Defined a research question (see Study Design Resources)
- Performed a literature review
- Junior investigators – please make sure you have discussed the project with your research mentor
- Please make sure your research mentor is able to attend the initial meeting with the SDBC collaborators
Timelines for Productive Collaboration
The following time requirements are essential for SDBC members to work effectively with you. Please note that more complex projects may require more time.
|Type of Collaboration||Recommended for Productive Collaboration|
|New Grant Application||2 to 3 months|
|IRB Submission/Study Design
Internally Funded Study
|4 to 6 weeks|
|Data analysis for abstract or internal purposes||4 to 6 weeks|
|Data analysis for manuscript||6 to 8 weeks|
Why Are the Above Timelines Important?
The timelines are important because engaging SDBC members with the initial study design ensures that study hypotheses are clear and testable. Furthermore, effective data analysis often requires the following steps:
- Development of pre-specified analysis plans
- Structuring data for analysis
- Investigation of data quality, missing data, distributions of variables, outliers and other data issues
- Conduct of pre-specified analyses
- Documentation of results and interpretation
- Follow-up analyses to address issues raised by the initial analyses
The quality of the data greatly impacts our timeline. However, even a well-formatted data set can require 6-8 weeks to complete the analysis, particularly if many follow-up analyses are requested. Examples of potentially time-consuming projects include those that involve: a) multiple data sets with many variables, b) repeat measures over time (longitudinal) or within subjects (clustered), and c) specialized statistical analyses. Please keep in mind that SDBC members are always juggling multiple projects, and thus we may not be able to accommodate tight deadlines.
Please complete this form to the best of your capabilities as it helps us determine which SDBC team member(s) will be best for your project, track the progress of your request/project and will make your first meeting more productive. A consultant will contact you within 1 to 5 business days following submission of the request form. When submitting your form, it is recommended that you:
Describe your research question or goal in detail. Consider including the following information:
- Specific aims (potentially in draft form)
- Subjects you intend to study
- Primary outcome variable and how it will be measured
- Predictor variable(s) and how they will be measured
- Any confounding variables or covariates that you have thought about
For those who are considering development of Health Measurement Instruments, it is helpful to include:
- A conceptual description of the variable(s) you want to measure
- Any ideas you have about how they might be measured (include either qualitative, quantitative or both)
- The type of measurement study you intend: either traditional psychometric or computerized adaptive testing
For those who are considering surveys or questionnaires, it is helpful to include:
- The population being surveyed
- The purpose of the survey
- Any instruments or surveys identified
- If you have drafted a survey, please include it
First Meeting With a Consultant
Depending on your specific type of study or project issues, at your first meeting with an SDBC consultant, you may be asked to provide the following information either at or shortly after the first meeting:
Sample size calculation
If a sample size estimation is needed, we will need the following information: (It’s okay if the only information available is an “educated guess”)
1). Outcome Variable Type:
- For a continuous variable (such as height or weight), we need: (bring in relevant literature)
- The average value and the standard deviation of the control group;
- For a dichotomous variable (such as: yes/no response), we need:
- The average proportion of the control group or the population
2). The estimated difference between the control and the treatment you would like to detect (effect size).
Both of these are often derived from similar studies that are in the literature AND/OR through pilot studies.
Existing Questionnaire/Questionnaire Development
We highly recommend that any “homegrown” questionnaires are reviewed by one of our SDBC consultants BEFORE the start of the study. Though seemingly trivial, proper questionnaire development is critical and often complicated. Time and labor can be saved if you seek our input prior to administering your questionnaire.
Health Measurement/Instrument Development
- Bring in any similar studies
- Identify any relevant theoretical perspectives
- If possible, describe the design of the study
Health Care Utilization/Cost Data
Interested in cost, charge or cost-effectiveness?
If relevant, define:
- Total health care cost and utilization
- Multiple years of data or single year data
- Relevant previous studies
- Is the data at the patient or encounter level?
- Sources of cost and effectiveness information (for cost-effectiveness analysis only)