I’m an experienced researcher who helps organizations design, fund, implement services, and execute complex research projects. Through Ian A. Silver Consulting LLC, I provide practitioners, policymakers, and academics with expertise in statistical analysis, program evaluation, research design, grant development, and statistical training.
Over the past 10 years, I have helped organizations design and execute complex research projects and develop more than 20 grant applications to federal, state, and foundation funding agencies. These efforts have contributed to securing more than $5 million in research funding. I have also provided consulting services to American University, Rutgers University, The University of Texas Health Science Center at Houston, and the University of Utah.
Consulting with Ian A. Silver, PhD.
I take a client-centered approach to developing and executing a consulting plan using a three-stage process. 1) Scoping: First and foremost, during our initial meetings we will identify the overarching goal of the consulting effort and the objectives that need to be executed to achieve that goal. This information will be used to prepare a brief proposal and build a scope of work together that satisfies the your project. 2) Collaboration: Second, I will work hand in hand with you to ensure that all objectives are achieved, maintaining constant communication and regularly checking in about the work. 3) Delivery: Finally, I will deliver all final products and the materials used to develop those products, ensuring you have access to everything I created for the project. My goal as a consultant is to leave you in the best position to ensure all projects are successful and, more importantly, provide you with the tools needed to answer questions about the project in the future. To schedule a meeting, please email me at silver6992@gmail.com.
Services
- Statistical Consulting: I provide statistical consulting throughout the research process, from initial research design and data preparation to statistical analysis and interpretation. Pre-analysis services include, but are not limited to, guidance on data processing and analysis selection, data processing, theoretical model development, and assessment of alternative strategies. Analysis services includes writing complete scripts to conduct descriptive analyses, model estimation, and predictive analyses, as well as data visualization. Post-analysis services include strategizing about data and statistical communication, preparing tables, figures, manuscripts, and presentations for practitioners.
- Program Evaluation and Research Design: I help organizations design and evaluate programs, policies, and practices to understand their effectiveness and identify opportunities for improvement. I have extensive experience implementing quasi-experimental techniques to evaluate the effectiveness of programs, policies, and practices across health and justice . Furthermore, I have experience implementing programs, conducting process evaluations, validating risk assessments, and assessing cost of services. I work with organizations to develop small or large scale evaluation strategies that are appropriate for their programs, available data, and research objectives. These evaluations provide the information necessary to understand the effects of your services and further promote those services to legislative or funding bodies.
- Grant Preparation: I help organizations develop competitive research proposals by providing methodological expertise, research design support, and statistical consultation. My experience includes developing experimental and quasi-experimental research designs, conducting complex power analyses, identifying appropriate analytical strategies, and contributing to the preparation of grant applications. I specialize in causal inference and the development of rigorous evaluation strategies that strengthen research proposals. I can also draw on an established network of research collaborators and methodological experts to help organizations assemble multidisciplinary teams and develop competitive proposals for federal, state, and foundation funding opportunities.
- Statistical Teaching and Training: I provide individualized and group statistical instruction for students, faculty, researchers, and practitioners. My approach emphasizes both the underlying statistical concepts and their practical application, helping participants understand not only how to conduct analyses but also how to interpret and communicate their findings. Training topics include regression analysis, mixed-effects models, model estimation and diagnostics, causal inference, machine learning, predictive modeling, biostatistics, data management, and Bayesian analysis. Instruction can be tailored to individual learning objectives, organizational needs, or specific research projects.
