Our Expertise

AMSTAT Consulting has become nationally recognized for providing biostatistical analysis. Our successful clients cite these reasons for choosing to work with AMSTAT Consulting.

  • All of our principals have PhDs in statistics at leading universities, including Harvard, Stanford, and Columbia. They include nationally renowned experts.
  • They have extensive backgrounds in biostatistics. They are experts in statistical analysis. They are experts in statistical programming languages such as SPSS, SAS, Stata, R, HLM, Mplus, SPSS Amos, SPSS Modeler, Azure, JMP, WinBUGS, Minitab, Match!3, and Access.
  • Our programmers have 3,700 years of accumulated programming experience across the company.
  • They apply scientific principles and therapeutic indication knowledge to support you throughout the entire clinical development process. Biostatistics is at the heart of every clinical study—driving study design, study conduct, data collection, analysis, and reporting.
  • They work closely with the entire project team throughout the study to ensure that the correct data is captured and ready for analysis.
  • We have extensive experience providing biostatistical consulting and services from study design and protocol development to study analysis through regulatory submission and agency meeting representation.  Our statistical experience includes pre-clinical, clinical, registration phase, and post-marketing studies.
  • We support the planning and biostatistical analysis of your clinical trial and regulatory submissions projects.
  • Our fees usually pale in comparison to the savings and additional profits that our work produces for our clients.
  • Over 90% of our clients request our assistance more than once, as our clients are almost universally happy with our different brands of consulting. We are more reasonably priced than most other consultants offering biostatistical consulting.
  • We offer personalized, comprehensive, and friendly support during and after your consultation with us.

Our Services

We are happy to provide the help you need at any or all of the following steps in earning the data-based answers you request:

  • Study design
  • Protocol development
  • Strategic statistical consulting
  • Sample size calculations
  • Endpoint development
  • Randomization schemes
  • Statistical analysis plans (SAP)
  • Adaptive Design clinical trial planning, simulation, and implementation
  • Statistical tables, data listings, and figures for clinical study reports (CSRs)
  • eCRF design and review
  • Statistical analyses and reports
  • Pharmacokinetic and pharmacodynamic analyses
  • Regulatory Submissions – Regulatory guidance, planning, and meeting representation
  • Integrated safety and efficacy analyses (ISS/ISE/ISM)
  • Data Monitoring Committee (DMC) services
  • SDTM and ADaM dataset preparation (submission-ready dataset packages)

Statistical Analysis

We are experts in statistical analysis (e.g., linear regression, logistic regression, hierarchical regression analysis, correlation analysis, chi-square test, t-test, ANOVA, MANOVA, structural equation modeling (SEM), multilevel SEM, confirmatory factor analysis (CFA), multilevel CFA, factor analysis, principal components analysis, time series analysis, Cox regression, Kaplan-Meier survival analysis, hierarchical linear modeling (HLM), meta-analysis, Bayesian analysis, latent class analysis, longitudinal growth modeling, mixture model, linear mixed models, distribution analysis, ensemble analysis, de-identification, trend analysis, sensitivity analysis, negative binomial regression, interim analysis, decision tree, item analysis, nonparametric test, statistical and decision modeling, maxDiff, segmentation and cluster analysis, conjoint/discrete choice, predictive analytics).

Examples of Our Work

Relative Risk of Lung Cancer 

January 15th, 2021|2 Comments

We compared the difference in relative risk (RR) of lung cancer between the intervention and control groups. The hypothesis was as follows: H1: The intervention group will have an increase in relative risk (RR) of [...]

Blood Pressure

January 14th, 2021|0 Comments

We examined the difference in blood pressure between patients with cancer and patients without cancer. The hypothesis was as follows: H1. There is a significant difference in blood pressure between patients with cancer and [...]

Bending Stiffness

January 13th, 2021|0 Comments

We measured the difference among the 2.0mm RP and 2.0mm SP in bending stiffness, bending strength, and bending structural stiffness. The hypothesis was as follows: H1: There is a significant difference among the 2.0mm RP [...]

Compound D-600

January 13th, 2021|0 Comments

We examined the effect of compound D-600 (methoxyverapamil) on gluconeogenesis. The hypothesis was as follows: H1: There is a significant effect of compound D-600 on gluconeogenesis. A regression analysis was conducted. There was a [...]

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