Study Design and Analysis Planning

Strong projects often benefit from statistical input before the primary analysis begins. In many cases, the central challenge is not a lack of substantive expertise, but uncertainty about how the research question, the available data, and the analytic approach should be aligned. Early statistical support can help clarify that relationship and reduce avoidable problems later in the project.

Our study design and analysis planning support is intended for researchers, students, clinicians, and applied professionals who want to make stronger methodological decisions before a project becomes more difficult to revise. This may include support with clarifying outcome variables, identifying predictors and covariates, thinking through repeated measures or clustered data, planning subgroup analyses, or selecting an analytic approach that is appropriate for the structure of the data and the goals of the project.

When This Type of Support Is Useful

This type of support is often helpful when a project is still taking shape or when the original analytic plan no longer feels sufficient. In some cases, the research question is well defined, but the statistical path forward is less clear. In others, important methodological decisions have been made informally and would benefit from more explicit statistical justification.

Early planning support can also be valuable when a team wants to reduce uncertainty before data collection, avoid unnecessary rework, or improve the coherence of the project before manuscript preparation begins.

Common Questions We Help Address

Researchers often seek this type of support when they are trying to answer questions such as:

  • What statistical approach best matches the study design and outcome type?

  • How should key variables be defined, coded, or transformed?

  • Which covariates are reasonable to include?

  • How should repeated observations, missing data, or nonstandard distributions be handled?

  • Is the current plan well aligned with the actual research question?

These questions are often easier to address earlier rather than later, when the project may already be constrained by prior decisions or reporting expectations.

What Support May Include

Depending on the project, support in this area may include review of the study aims, discussion of the data structure, evaluation of the current analytic plan, and recommendations for a more appropriate or defensible approach. The goal is not simply to choose a model, but to help create a clearer methodological foundation for the work as a whole.

Getting Started

If your project would benefit from a clearer analysis strategy or stronger methodological structure, an initial consultation may be a useful first step. This allows us to review the goals of the project, discuss the current challenges, and identify appropriate next steps.

Book an Initial Consultation

1-Hour Initial Statistical Consultation
$125.00

This up to one-hour consultation is designed for researchers who want focused statistical guidance on a project, analysis question, or manuscript issue. During the session, we can discuss study design, data structure, analytic options, interpretation, reviewer comments, or next-step recommendations. The goal is to help you leave with a clearer direction and practical guidance for moving forward.

Please provide the following when signing up:

  • Name, institution, and email

  • Project title and short description

  • Main question you want to discuss

  • Current project stage

  • Whether data have already been collected

  • Approximate sample size

  • Type of data involved

  • Any relevant materials, such as a manuscript draft, reviewer comments, codebook, output, or code