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Quantitative Health Sciences

Welcome to ӰԺ Quantitative Health Sciences

Our mission is to provide scientifically valid, efficient and dependable research support for study design, data management and analysis of laboratory, animal and clinical studies. In partnership with Children's Research Institute, QHS will help train junior researchers, work with more mature researchers in obtaining and maintaining funding, and develop standardized data management protocols which facilitate the collection of quality data.

We at QHS are available to work with you on your grant proposals, study design, data analysis and many more. We have been working closely with the investigators through email communications and WebEx meetings. If you need any help, please feel free to contact Cindy Feltz (cfeltz@mcw.edu).

We provide assistance with:

  • Animal studies: toxicology, deterministic and behavioral
  • Clinical trials: parallel arm, sequential and alternative designs, cross-sectional and longitudinal
  • Epidemiological studies: case control, cluster and cohort studies
  • Genetic studies: SNPS, genetic pathways
  • Health services research: outcomes, quality control and questionnaire design
  • Laboratory investigations: in vitro, assay modeling and drug shelf duration
  • Observational and weighted surveys: simple and complex designs

Quantitative Health Sciences FAQs

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How do I contact QHS?
Our phone is (414) 955-7675.
Why should I contact QHS for collaboration?
QHS was established to provide assistance in designing, planning and analyzing your research studies. We can assist you with the following: study design, data management, grant/IRB proposals, survey development, statistical analyses and results interpretation. The final goal is a publication.
Is there a fee involved for collaboration with QHS?
Our time is available for both funded and unfunded projects, though funded projects generally must receive priority. We are supported by the Pediatrics Department and CRI\ to collaborate on projects with a focus on child health. We strive to assist everyone who come under these designations. Unless there is funding, or a chance of it (grant proposal), we cannot work with other departments.  
When should I contact QHS for collaboration?
It is best to contact QHS right from the beginning of your project, in the study design stage. We can help you refine your hypothesis, develop a data management plan and an analysis plan for your grant/IRB proposal. Meetings are available by Zoom or WebEx.
What is a realistic timeline for my project to be completed after all data are collected?
That depends. We aim to give a preliminary check of the data within a week. After the data is “declared clean”, providing there is an agreed clear analysis plan, we would aim to finish within a month. 
Can I get help with data management?
We recommend the use of REDCap for most databases and we can provide REDCap free of charge. Our data management resources include assistance with the development, on-going support of databases, monitoring data and generating reports, and hands on training. Courses and brochures are available from QHS on using REDCap.
What information do I need to provide for the initial meeting with QHS?
Please provide us any materials that are relevant to the study prior to the initial meeting. This could include the IRB proposal and/or background papers to understand the context of your project.  
Who should attend your project meetings with QHS?
It is required that junior staff, such as residents or fellows, attend all the meetings with their faculty mentor. This can make scheduling somewhat difficult, but a WebEx/phone call meeting can be scheduled too. 
What is the policy for publications or any dissemination?

QHS has adopted the ӰԺ’s policy for Authorship on Scientific and Scholarly Publications.

These principles of authorship emphasize intellectual and academic contributions to scholarly publications which include articles, abstracts, and other dissemination of written findings, thoughts, and analyses. Implicit is that attribution of credit should be given to individuals whom credit is due and concurrently to identify those individuals responsible for the integrity of the scientific contributions. Those principles with which Quantitative Health Sciences is most concerned are as follows:

  • The qualifications for authorship are: (1) substantial contributions to conception and design, or acquisition of data, or analysis and interpretation of data; (2) drafting the article or revising it critically for important intellectual content: and (3) final approval of the version to be published.
  • All individuals who qualify for authorship should be listed. However, any person can refuse to be an author if (s) he elects to do so.
  • Each author should have participated sufficiently in the work to take public responsibility for appropriate portions of the content.

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Contact Us

Quantitative Health Services
Translational & Biomedical Research Center
Children's Research Institute
8701 Watertown Plank Rd.
Milwaukee, WI 53226
(414) 955-7675
(414) 955-6331 (fax)
cfeltz@mcw.edu
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