What is the Calculator & MyData Module?

The Calculator & MyData module is e-picos's full statistical analysis suite. It is one of the seven paid modules on the e-picos platform, accessed at calculator.epicosai.com, and it brings together every test you need to analyse data for clinical and academic research — from basic descriptive statistics to advanced multivariate modelling — inside a single no-code interface.

The module presents itself as the "e-picos Statistical Calculator & Data Analysis Suite", with the tagline:

"Your data has a story. We help you tell it right."

What the module does

In one sentence: it lets you run 60+ statistical tests across 9 categories without writing any code, with the ability to upload your own Excel data (the "MyData" part of the module name), automatic data type detection, and auto-generated result interpretations.

Concretely, it covers:

Descriptive statistics — summarising your data before any test
Basic parametric tests — t-tests, ANOVA, correlation, linear regression, GLM
Nonparametric alternatives — for non-normal or ordinal data
Crosstab and epidemiology methods — diagnostic accuracy, cohort, case-control, McNemar, Kappa, chi-square
Advanced regression and survival analysis — ROC, Kaplan-Meier (with propensity score matching), Cox regression, competing risks, logistic regression, GEE
Multivariate methods — MANOVA, PCA, EFA, discriminant analysis, canonical correlation, multiple regression, cluster analysis, path analysis, SEM
Reliability and agreement — Cronbach's Alpha, ICC, Bland-Altman, Item Analysis
Quality control (SPC) — Control charts, process capability, Gage R&R, acceptance sampling, Pareto, CUSUM & EWMA
Practical research tools — RCT randomisation schemes, common data transformations (Median-to-Mean, OR-to-RR, HR-to-RR), learning aids and simulators, data filtering, and a scientific calculator

A "Which Test Should I Use?" assistant is built into the main menu to help you find the right test when you are not sure (see §2).

What the module promises

The module's landing page surfaces five headline numbers that summarise its scope:

Number	What it refers to
60+	Statistical tests available
9	Analysis categories you choose from
100%	No-code solution — no scripting or programming required
Excel	Smart column mapping for Excel imports
AI	Built-in AI-powered assistant for test selection

Six product capabilities are highlighted across the landing experience:

Descriptive & Inferential Statistics — summary statistics, confidence intervals, t-tests, ANOVA, correlation, and chi-square tests, with automatic data type detection and normality checking.
Multivariate Analysis — MANOVA, PCA, Factor Analysis, Discriminant Analysis, Canonical Correlation, Cluster Analysis, Path Analysis, and Structural Equation Modeling (SEM).
Survival & Advanced Regression — Kaplan-Meier with propensity score matching, Cox Regression, Competing Risk Analysis, Logistic Regression, GEE, and General Linear Models.
Reliability & Agreement — Cronbach's Alpha, Intraclass Correlation (ICC), Bland-Altman Analysis, and Item Analysis for instrument validation and inter-rater agreement.
Quality Control (SPC) — Control Charts, CUSUM & EWMA, Process Capability, Gage R&R, Acceptance Sampling, and Pareto Analysis for manufacturing and healthcare quality.
Smart Excel Integration — import data from Excel with intelligent column mapping, automatic variable type detection, error-preventing column assignment, and data validation.

A note on AI: In this module, the AI's role is to help you choose the right test for your data and to help you interpret the outputs in plain language. The statistical calculations themselves are run by the module's validated statistical engines — not by AI.

Who the module is for

The landing page calls out six distinct researcher profiles that the module is designed to serve. Each profile is described with its typical pain point and how the module addresses it:

Researcher	Typical pain point	How the module helps
Clinical Researchers	Need survival analysis with propensity matching, inter-observer agreement for endpoint adjudication, and scale validation — without coding in R or paying for per-seat SAS licences	Propensity matching built into Kaplan-Meier and Logistic Regression; Kappa, ICC, and Bland-Altman for reliability; Cronbach's Alpha, Item Analysis, and EFA for instrument validation
Graduate Students & Early-Career Researchers	Overwhelmed by which test to use; SPSS menus are confusing and R syntax is intimidating	AI assistant guides you to the correct test; full scale-development pipeline and observer-agreement tools with plain-language interpretations — learn while you analyse
Nursing & Care Researchers	Limited statistical training but need to produce Table 1, validate assessment scales, measure inter-rater reliability, and format results for journals	Auto-generated Table 1 with correct statistics per variable type; Cronbach's Alpha for scale validation; Kappa and ICC for inter-rater reliability between nurses; domain-specific examples
Pharmaceutical & Clinical Trial Teams	Need randomisation lists, survival curves, competing risks, GEE, ROC, and adjudicator agreement — spread across multiple expensive software packages	All in one platform: RCT randomisation, Kaplan-Meier, Cox, Competing Risk, GEE, ROC with DeLong, Kappa, ICC, Gage R&R
Quality & Process Engineers	Need SPC control charts, process capability, and Gage R&R — but Minitab licences are expensive and desktop-locked	Full SPC toolkit (Shewhart, CUSUM, EWMA, Process Capability, Gage R&R, Pareto, Acceptance Sampling) — web-based, accessible from any device
Basic Science & Life Science Researchers	Run routine lab analyses frequently but spend too much time formatting results and writing the statistics section	Every test auto-generates interpretation text, methods paragraphs, and publication-ready visualisations; sample datasets let you verify your approach before running your own data

The decision tree and AI assistant also let you pick a research domain so the examples shown at every step are tailored to your field. The six domains offered are:

Basic Science — laboratory research, experimental design, preclinical studies
Internal Medicine — clinical diagnosis, treatment outcomes, patient studies
Surgery — surgical outcomes, operative metrics, procedure comparison
Nursing / Care — patient care protocols, nursing interventions, care quality
Pharma / Clinical Trials — drug development, Phase I–IV trials, pharmacology
Life Science — biology, genetics, microbiology, ecology research

How you get into the module

Access to Calculator & MyData is gated by your e-picos subscription. There are three possible states when you open the module:

Your state	What you see
Not signed in	The public landing page for the module, with an Get Started call-to-action that takes you to e-picos sign-up
Signed in but no active subscription	The same landing page, but the call-to-action becomes Buy Now and takes you to your e-picos dashboard so you can subscribe
Signed in with an active Calculator & MyData subscription	The full module interface — the main menu of 9 analysis categories plus the Which Test Should I Use? assistant

While the module checks your subscription, you see a brief loading screen:

"Checking authentication…" → "Verifying module access…"

If a temporary network problem prevents the access check, you see a Connection Error screen with two buttons: Retry Connection and Go to Dashboard. This is purely transient — once the network recovers, Retry gets you back in.

Once verified, your session is shared with the main e-picos dashboard, so you do not need to sign in again separately.

The main interface

When you successfully open the module you land on the main menu of the Statistical Analysis Tools. The menu has three parts:

A Which Test Should I Use? button at the top — opens the assistant (see §2).
A grid of 9 category cards — clicking any card opens that category's list of tests. The 9 categories are:
- Descriptive
- Basic Tests
- Nonparametrics
- Crosstabs
- Advanced
- Multivariate
- Reliability
- Quality Control
- Tools
A footer with standard e-picos navigation.

Inside a category

When you open a category (for example, Basic Tests), you see:

The category title at the top
A Help button next to the title — opens a help panel summarising every test in the category with three labelled fields: Purpose, When to use, and Example
A grid of test cards, one for each test in the category

Clicking a test card opens that test's full calculator. A ← Back to calculators link in the upper-left returns you to the category grid; ← Back to menu at the top of the page returns you to the main menu of 9 categories.

Help guidance is always available

Every category has its own structured help panel describing what the category covers and which test to use when. The category-level overviews are:

Category	What it covers
Descriptive	Tools for summarising and describing data before conducting inferential tests. Start here to understand your data's distribution, central tendency, and variability.
Basic Tests	Fundamental parametric tests for comparing means, testing associations, and modelling linear relationships. These assume normally distributed data.
Nonparametrics	Distribution-free methods that do not assume normality. Use these when your data is ordinal, heavily skewed, has outliers, or has small sample sizes.
Crosstabs	Tools for analysing categorical data, contingency tables, and epidemiological study designs including cohort, case-control, and cross-sectional studies.
Advanced	Sophisticated techniques including survival analysis, regression modelling, ROC analysis, and methods for correlated data.
Multivariate	Techniques for analysing multiple variables simultaneously, including dimension reduction, classification, clustering, and complex modelling.
Reliability	Methods for assessing measurement consistency, internal reliability of scales, and agreement between raters or methods.
Quality Control	Statistical Process Control (SPC) and quality management tools for monitoring processes, assessing measurement systems, and making data-driven decisions about product and process quality.
Tools	Data preparation, transformation, and research design tools to support your statistical analysis workflow.

A note on the module name — what does "MyData" mean? The module is called "Calculator & MyData" because it does two things:

The Calculator side is the suite of 60+ statistical tests organised into 9 categories.

The MyData side is the ability to upload your own Excel data into any test and run the analysis on your own dataset, rather than only using the sample datasets that ship with each calculator.

Every calculator in the module supports both approaches: you can either start with a built-in sample dataset to learn how the test works, or upload your own Excel file with smart column mapping to analyse your own research data.

Next section: Which Test Should I Use? — The Built-in Assistant.