WIA StandardsKOEN

WIA Clinical Trial Data Standard Guide

A guide to the WIA-BIO-010 standard

Contents

Chapter 1Understanding Clinical Trial Data — Phases, Designs, Roles and the Scope of WIA-BIO-010A clinical trial is an experiment on people. Its output is not the new medicine itself but evidence about that medicine, and that evidence exists only as data.… Chapter 2Statistical Design of Clinical Trials — Sample Size, Power and Hypothesis TestingHow many subjects a trial needs, how likely it is to detect a real effect, and how the final and interim results are tested — worked by hand, checked in code… Chapter 3Data Format I — WIA-BIO-010 JSON Models and CDISC (CDASH, SDTM, ADaM)How a trial, a subject and a visit are written down in WIA-BIO-010, and how the same facts travel through the three CDISC layers — collection, tabulation and… Chapter 4Data Format II — Safety Data: Adverse Events, MedDRA and CTCAEHow WIA-BIO-010 records an adverse event, how that record is coded, graded and assessed, which regulatory clock it starts, and where the reference SDK and CLI… Chapter 5API — The @wia/bio-010 SDK and CLIWhat each call in the reference TypeScript package and the shell tool promises, what it actually does when you run it, and how to use it safely while its known… Chapter 6Protocol — Trial Lifecycle, State Transitions, Monitoring and Regulatory SubmissionHow the records of Chapters 3 and 4 move through time: the order in which trial data is allowed to exist, the states a trial, a subject, a visit and a… Chapter 7Integration and Implementation — EDC, Part 11, Security and WIA LinkagesHow the five components required by WIA-BIO-010 §8.1 fit together, what 21 CFR Part 11 asks of the system around them, how edit checks, consent and access… Chapter 8Testing, Conformance, Certification and the FutureWhat WIA-BIO-010 v1.0 actually obliges an implementation to do, how to turn those obligations into test vectors, what the reference SDK does when you run them…

About this book

A clinical trial is an experiment on people. Its output is not the new medicine itself but evidence about that medicine, and that evidence exists only as data. This chapter explains where clinical trial data comes from, which design decisions shape it before the first subject is enrolled, who is responsible for it along the way, and how the WIA-BIO-010 v1.0 standard and this book are organized around it.

Every clinical trial starts as a document, the protocol . The protocol states the question the trial will answer, who may take part, what each subject will receive, which measurements will be made at which visits, what the primary endpoint is and how it will be analysed. From that point on, the trial is a long chain of transformations. A nurse or investigator records an observation on a case report form (CRF), usually inside an electronic data capture (EDC) system. The data manager cleans it through edit checks and queries. The database is locked. Statistical programmers convert the raw records into standard tabulation datasets and then into analysis datasets. Statisticians produce tables, listings and figures. The sponsor writes a clinical study report and assembles a regulatory submission. A regulator reviews it and, if the evidence is convincing, approves the product.