AMSTAT Consulting has become nationally recognized for providing data management and statistical consulting. Our successful clients cite these reasons for choosing to work with our statistical consulting teams:
Our statistical consulting teams have PhDs in statistics from leading universities—such as Harvard, Stanford, and Columbia—and include nationally renowned experts.
They have an accumulated 3,700 years of programming experience across the company. Therefore, they can perform any statistical test.
What sets us apart from other statistical consulting firms is a unique core competency in developing solutions to strategic questions. Therefore, we are committed to providing our services efficiently and effectively.
We are more reasonably priced than most other statistical consulting firms. Thus, our fees usually pale in comparison to the savings and additional profits our work generates for our clients.
Our statistical consulting teams offer personalized, comprehensive, friendly support during and after your consultation in addition to ultra-fast turnaround times. Therefore, over 90% of clients request our assistance more than once, as they are almost universally happy with the different statistical consulting brands we offer.
Our statistical consulting teams can provide the help you need during any or all of the following steps toward earning your requested data-based answers:
Establishing and operationalizing hypotheses and research questions
Providing ample instruction on methods used
Inputting, organizing, and cleaning data
Implementing statistical analyses
Testing reliability (Cronbach’s alpha, test-retest reliability, split-half reliability, and inter-rater reliability) and validity (content validity, construct validity, criterion validity, internal validity, and external validity)
Writing up all results—including APA tables and figures
Providing syntax and the raw output file
Allowing unlimited email and phone support to ensure you completely understand the analysis results
Conducting two rounds of incidental statistics (if you would like additional statistics)
Preparing an effective PowerPoint presentation
Our statistical consultants can employ data management:
The process of data cleaning includes data auditing, workflow specification, workflow execution, post-processing, and controlling. They are comprised of parsing, data transformation, duplicate elimination.
Our statistical consulting teams can determine values that are unexpected and thus erroneous by analyzing the data using the mean, range, standard deviation, and clustering algorithms.
We can examine any standardized residual greater than about 3 (in absolute value), a hat element greater than 3p/n (p = k + 1, k degrees of freedom), a Cook’s distance greater than 1, and the Mahalanobis distance.
We can run outlier analysis such as a run-sequence plot, scatter plot, histogram, and box plot.
Our statistical consulting teams are experts in statistical analysis, including but not limited to the following:
Linear, logistic, and hierarchical regression analysis
Structural equation modeling (SEM) and multilevel SEM
Confirmatory factor analysis (CFA) and multilevel CFA
Factor analysis and principal component analysis
Cox regression and Kaplan-Meier survival analysis
Hierarchical linear modeling (HLM)
Latent class analysis
Longitudinal growth modeling
Linear mixed models
Negative binomial regression
Statistical and decision modeling
Segmentation and cluster analysis
Predictive analytics, ensemble analysis, random forest analysis, neural nets, Machine learning, and Artificial Intelligence (AI)
Markov chain Monte Carlo (MCMC) and similar methods
Segmentation and cluster analysis
Regression discontinuity analysis and fuzzy regression discontinuity analysis
Zero-inflated count models, agent-based modeling, choice modeling, and spatial analysis
We have expertise in virtually every statistical and qualitative software package, including but not limited to the following:
Our statistical consultants measured the impact of internet use on perceived performance. We performed a regression analysis to determine that internet use significantly affected perceived performance (β = 0.82, p < 0.05). [...]
We compared the difference in relative risk (RR) of lung cancer between the intervention and control groups. We found that the intervention group exhibited an increase in RR of lung cancer from pre to post [...]
Our statisticians examined the differences in bending stiffness between 2.0 mm RP and 2.0 mm SP. We conducted ANOVA to test the hypothesis for this study, which confirmed a significant difference between 2.0 mm [...]
We measured the impact of banking fees on financial performance. Banking fees significantly and positively affected financial performance (β = 0.46, p < 0.05). We performed a regression analysis by using SPSS. [...]
Contact Us 24/7 for a Free Statistical Consultation
It is all about you—let’s dive in!
We want to hear about the specifics of your statistical project, and one of our statistical consultants will provide personalized recommendations and ideas. Our statistical consultants will take the time to learn about your project and discuss how they can best help you.
This is a $200 statistical consultation we are providing for free. What is there to lose?
Call our statistical consultants now at (669) 900-1414!