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.
For additional information about QHS, please see the QHS brochure (PDF).
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
Our phone is (414) 955-7675.
Or, from the HRC building, follow the hallway on the west side of the MCW cafeteria (1st Floor) to the elevators. Take this up to the 3rd floor and call the numbers above at the phone located by the elevators and someone will come and get you.
You can also get here from the MACC/MCW connector. At the MCW end of the connector, turn left. The hallway runs along the back of the library. Just before end of the hallway, turn left into the Basic Science Building. Just after you go through the doors, turn right into the TBRC connector (between the two pillars). At the end of the connector take the elevators to the 3rd floor. Call the numbers above at the phone located by the elevators and someone will come and get you.
QHS has adopted the Medical College of Wisconsin’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.
- A Review of Statistical Analysis Software (PDF)
- Avoiding pitfalls that result in bad data (PDF)
- Database ownership (PDF)
- Guidelines for detecting bad data (PDF)
- REDCap Data Dictionary (DOC)
- Sound principles for simple statistics (PDF)
- Using REDCap to Capture Good Data (PDF)
- Working with spreadsheets (PDF)
- Chart Review Checklist (PDF)
- Database Construction Checklist (PDF)
- Grant Writing Checklist (PDF)
- Journal Review Checklist (PDF)
- Nature Manuscript Checklist (PDF)
- Guidelines for Collecting Data via Excel Templates (PDF)
Translational & Biomedical Research Center
Children's Research Institute
8701 Watertown Plank Rd.
Milwaukee, WI 53226
(414) 955-6331 (fax)