1. Extensive collaboration and consultation experience with basic and clinical medical scientists, resulting in numerous grants, publications, and presentations.
2. Software development and computer programming, both prototyping and machine-level optimization. Familiar with Perl, C, and Fortran.
3. Deploying a single very large database on multiple computer servers, where the whole or a subset of the server cluster is queried simultaneously in response to a single request (so that to decrease response time). Expereienced in building LAMP environment (Familiar with Linux, Apache, MySQL, and Perl/PHP/Python).
   
4. Mentoring graduate and professional students, teaching, and workshop facilitating.
5. Data analysis, utilizing a variety of statistical software; Experienced in R (and S-Plus), SAS, Stata, and SPSS. Design and analysis of gene-array (and Genechip microarray) high throughput gene expression data. Experienced in survival analysis (including multiple events, competing risks, frailty, state-space and Markov chain), and repeated measures (random-effects models and marginal models).

If you are doing a meta-analysis of biomedical literature, you may find the following services helpful.

1. We can help you decide on the optimal data structure to use when extracting information from the published papers. This service usually results in an empty data file that is fully annotated and labeld, and ready for data entry. The file is available in several formats including MS Excel, SPSS, etc. This way, you will be able to optimize your time searching in the literature, and to benefit from every hour you spent early in your prject, when you are writing your paper/report.
2. We can help you analyze the data you extracted from the literature. In addition we can help interpreting the results of analysis. We help presenting the results in tables, graphs and exhibits that are clear and efficient in communicating with clinicians or health personnel than don't have background in statistics. Here are some samples in PDF.
3. We organize one-day small-group courses, where each participant actually performs the meta-analysis steps by using a real example (or your choice of meta-analysis topic). Clinicians doing meta-analysis, as well as biostatisticians may benefit from the course.
4. When searching to locate relevant studies (or published papers) for your meta-analysis, PubMed (MEDLINE) is the most frequent resource used (although it shouldn't be the only source one checks). We have developed search engine that, in combination with the PubMed retrieval method, increases the sensitivity and specificity of your searches. Also, it reduces the time you have to spend to go through a 'long' list of PubMed articles to decide which ones worth pursuing further.

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