Chris Holland – författare

[The authors] provide a detailed breakdown of the scientific underpinnings of Waldon's theory in language accessible enough for parents and rigorous enough to satisfy the informed researcher/practitioner.    - The Journal of Autism and Developmental Disorders Daniel S. Posner, Assistant Clinical Professor of Psychiatry, Icahn School of medicine at Mt Sinai, New York, NY The author sets out an approach based on Dr Geoffrey Waldon's philosophy of the development of understanding, which centres on helping children learn-how-to-learn.

The book includes:

- The inspirational and well documented story of the author's son, diagnosed at two with autism and as 'basically sub-normal', now a successful professional with a wife and child.

- An introduction to Geoffrey Waldon's theory and working methods.

- Testimony from parents and teachers, covering autism and a range of learning difficulties.

This book does not offer a 'miracle cure' for autism, although the author aims to counteract the prevailing view that autism is a lifetime condition. The author demonstrates that with the appropriate intervention, children with autism - and other special needs - can gain a fuller understanding of the world and learn to take a constructive and contributing place in it.

Teachers, therapists, doctors, parents and special interest groups will find this book an important and potentially transformational read.

[The authors] provide a detailed breakdown of the scientific underpinnings of Waldon′s theory in language accessible enough for parents and rigorous enough to satisfy the informed researcher/practitioner.    - The Journal of Autism and Developmental Disorders Daniel S. Posner, Assistant Clinical Professor of Psychiatry, Icahn School of medicine at Mt Sinai, New York, NY The author sets out an approach based on Dr Geoffrey Waldon′s philosophy of the development of understanding, which centres on helping children learn-how-to-learn.

The book includes:

- The inspirational and well documented story of the author′s son, diagnosed at two with autism and as ′basically sub-normal′, now a successful professional with a wife and child.

- An introduction to Geoffrey Waldon′s theory and working methods.

- Testimony from parents and teachers, covering autism and a range of learning difficulties.

This book does not offer a ′miracle cure′ for autism, although the author aims to counteract the prevailing view that autism is a lifetime condition. The author demonstrates that with the appropriate intervention, children with autism - and other special needs - can gain a fuller understanding of the world and learn to take a constructive and contributing place in it.

Teachers, therapists, doctors, parents and special interest groups will find this book an important and potentially transformational read.

This PDF is printed in Korean. For the English version go here.For decades researchers and programmers have used SAS to analyze, summarize, and report clinical trial data. Now Chris Holland and Jack Shostak have updated their popular Implementing CDISC Using SAS, the first comprehensive book on applying clinical research data and metadata to the Clinical Data Interchange Standards Consortium (CDISC) standards. Implementing CDISC Using SAS: An End-to-End Guide, Second Edition, is an all-inclusive guide on how to implement and analyze the Study Data Tabulation Model (SDTM) and the Analysis Data Model (ADaM) data and prepare clinical trial data for regulatory submission. Updated to reflect the 2017 FDA mandate for adherence to CDISC standards, this new edition covers creating and using metadata, developing conversion specifications, implementing and validating SDTM and ADaM data, determining solutions for legacy data conversions, and preparing data for regulatory submission. The book covers products such as Base SAS, SAS Clinical Data Integration, and the SAS Clinical Standards Toolkit, as well as JMP Clinical. Topics included in this new edition include an implementation of the Define-XML 2.0 standard, new SDTM domains, validation with Pinnacle 21 software, event narratives in JMP Clinical, and of course new versions of SAS and JMP software. Any manager or user of clinical trial data in this day and age is likely to benefit from knowing how to either put data into a CDISC standard or analyzing and finding data once it is in a CDISC format. If you are one such person--a data manager, clinical and/or statistical programmer, biostatistician, or even a clinician--then this book is for you.

For decades researchers and programmers have used SAS to analyze, summarize, and report clinical trial data. Now Chris Holland and Jack Shostak have updated their popular Implementing CDISC Using SAS, the first comprehensive book on applying clinical research data and metadata to the Clinical Data Interchange Standards Consortium (CDISC) standards. Implementing CDISC Using SAS: An End-to-End Guide, Revised Second Edition, is an all-inclusive guide on how to implement and analyze the Study Data Tabulation Model (SDTM) and the Analysis Data Model (ADaM) data and prepare clinical trial data for regulatory submission. Updated to reflect the 2017 FDA mandate for adherence to CDISC standards, this new edition covers creating and using metadata, developing conversion specifications, implementing and validating SDTM and ADaM data, determining solutions for legacy data conversions, and preparing data for regulatory submission. The book covers products such as Base SAS, SAS Clinical Data Integration, and the SAS Clinical Standards Toolkit, as well as JMP Clinical. Topics included in this edition include an implementation of the Define-XML 2.0 standard, new SDTM domains, validation with Pinnacle 21 software, event narratives in JMP Clinical, STDM and ADAM metadata spreadsheets, and of course new versions of SAS and JMP software. The second edition was revised to add the latest C-Codes from the most recent release as well as update the make_define macro that accompanies this book in order to add the capability to handle C-Codes. The metadata spreadsheets were updated accordingly. Any manager or user of clinical trial data in this day and age is likely to benefit from knowing how to either put data into a CDISC standard or analyzing and finding data once it is in a CDISC format. If you are one such person--a data manager, clinical and/or statistical programmer, biostatistician, or even a clinician--then this book is for you.

For decades researchers and programmers have used SAS to analyze, summarize, and report clinical trial data. Now Chris Holland and Jack Shostak have updated their popular Implementing CDISC Using SAS, the first comprehensive book on applying clinical research data and metadata to the Clinical Data Interchange Standards Consortium (CDISC) standards. Implementing CDISC Using SAS: An End-to-End Guide, Revised Second Edition, is an all-inclusive guide on how to implement and analyze the Study Data Tabulation Model (SDTM) and the Analysis Data Model (ADaM) data and prepare clinical trial data for regulatory submission. Updated to reflect the 2017 FDA mandate for adherence to CDISC standards, this new edition covers creating and using metadata, developing conversion specifications, implementing and validating SDTM and ADaM data, determining solutions for legacy data conversions, and preparing data for regulatory submission. The book covers products such as Base SAS, SAS Clinical Data Integration, and the SAS Clinical Standards Toolkit, as well as JMP Clinical. Topics included in this edition include an implementation of the Define-XML 2.0 standard, new SDTM domains, validation with Pinnacle 21 software, event narratives in JMP Clinical, STDM and ADAM metadata spreadsheets, and of course new versions of SAS and JMP software. The second edition was revised to add the latest C-Codes from the most recent release as well as update the make_define macro that accompanies this book in order to add the capability to handle C-Codes. The metadata spreadsheets were updated accordingly. Any manager or user of clinical trial data in this day and age is likely to benefit from knowing how to either put data into a CDISC standard or analyzing and finding data once it is in a CDISC format. If you are one such person--a data manager, clinical and/or statistical programmer, biostatistician, or even a clinician--then this book is for you.