Advanced & Applied Topics · Statistical Consulting & Reproducibility

Statistical consulting: Ethical, legal, and reproducibility aspects

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction Introduction Consulting — Professional Practice

Overview

Topics covered

  • Introduction
  • Ethics, Law and Reproducibility
  • Introduction and Philosophy of Statistical Consulting
  • The Duality of the Consultant: Co-researcher vs. Auditor
  • Mathematical Formulation of Biases and Selective Inference
  • 2.1 The p-Hacking Phenomenon

Related concepts

Main connections

  • Multiple testing & FWER/FDR
  • Calculus & differentiation
  • Data privacy & differential privacy
  • Hypothesis testing
  • Diagnostic test evaluation & ROC
  • Causal inference & potential outcomes

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

FM(x)=P(M≤x)=1−P(min1≤i≤mPi>x)=1−∏i=1mP(Pi>x)
View LaTeX sourceF_M(x) = P(M \le x) = 1 - P(\min_{1 \le i \le m} P_i > x) = 1 - \prod_{i=1}^m P(P_i > x)