♦ Tailored solutions

  • Our team of doctorates with deep technical expertise can efficiently deliver tailored solutions to solve your unique problems.

♦ Accurate results

  • We guarantee timely turnaround time and the most accurate results possible.

♦ Friendly assistance

  • We are always here to help you with anything you need.

  • We can help you through your entire project, from start to finish.

♦ Data standards

  • We can implement the latest advances in data standards.

♦ Unlimited free revisions for ten days

  • Our statistical consulting team can provide unlimited revisions free of charge for ten days.

♦ Team approach of several specialists

  • Our team of statisticians can help you choose the correct methods, analyze your data, and provide expert feedback.

  • We use a rigorous peer-review process to ensure the highest quality results.

♦ Endless support

  • Our team of statisticians can support you at every stage of your project.

  • We offer unlimited email and phone support.


We can help you with any or all of the following steps:

  • Establishing and operationalizing your hypotheses and research questions

  • Providing instructions on the methods used

  • Getting your dataset ready for analysis

  • Inputting, organizing, coding, merging, managing, and cleaning your data

  • Creating composite scores and labeling your data

  • Dealing with missing data

  • Detecting and correcting your database’s inaccurate and unexpected records

  • Testing reliability (e.g., Cronbach’s alpha, test-retest reliability, split-half reliability, inter-rater reliability)

  • Testing validity (e.g., convergent validity, construct validity, discriminant validity)

  • Conducting analyses and assessing their assumptions

  • Providing you with syntax and raw output files

  • Writing up the results, including tables and figures

  • Allowing unlimited e-mail and phone support

  • Providing unlimited revisions free of charge for ten days

  • Supporting you until your project is complete.


  • independent-samples t-test

Relative Risk of Lung Cancer

We compared the difference in relative risk (RR) of lung cancer between the intervention and control groups. We performed an ANOVA using SPSS after ensuring that its assumptions were met. The intervention group exhibited [...]

  • binomial logistic regression


A significant hospital requested statistical consulting to investigate the difference in the cancer risk in the recipients based on blood transfusions. We conducted a chi-square test using SAS and ensured its assumptions were met. [...]



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Phone: (650) 460-7431

Email: info@amstatisticalconsulting.com