The 2017 Karl Pearson Prize was awarded to Roderick J. Little and Donald B. Rubin for their book Statistical Analysis With Missing Data, published by John Wiley & Sons (1987).

The work of Roderick J. Little and Donald B. Rubin, laid out in their seminal 1978 Biometrika papers and 1987 book, updated in 2002, has been no less than defining and transforming. Earlier missing data work was ad hoc at best. Little and Rubin defined the field and provided the methodological and applied communities with a useful and usable taxonomy and a set of key results. Today, their terminology and methodology is used more than ever. Their work has been transforming for the deep impact it had and has on both statistical practice and theory. It is one of the rare topics that has continued for the past thirty years to be studied and developed in academia, government and industry. For example, it plays a key role in the current work on sensitivity analysis with incomplete data.

The prize was presented on 21 July 2017 at the 61st ISI World Statistics Congress in Marrakech.

The 2017 Karl Pearson Prize was awarded to Roderick J. Little and Donald B. Rubin for their book Statistical Analysis With Missing Data, published by John Wiley & Sons (1987).

The work of Roderick J. Little and Donald B. Rubin, laid out in their seminal 1978 Biometrika papers and 1987 book, updated in 2002, has been no less than defining and transforming. Earlier missing data work was ad hoc at best. Little and Rubin defined the field and provided the methodological and applied communities with a useful and usable taxonomy and a set of key results. Today, their terminology and methodology is used more than ever. Their work has been transforming for the deep impact it had and has on both statistical practice and theory. It is one of the rare topics that has continued for the past thirty years to be studied and developed in academia, government and industry. For example, it plays a key role in the current work on sensitivity analysis with incomplete data.

The prize was presented on 21 July 2017 at the 61st ISI World Statistics Congress in Marrakech.

Yoav Benjamini was awarded for his Benjamini-Hochberg 1995 paper “Controlling the false discovery rate: a practical and powerful approach to multiple testing” (J. Roy. Statist. Soc. Ser. B 57, 1995, no. 1, 289–300).

The paper by Benjamini and Hochberg, cited more than 50,000 times, introduced the false discovery rate or FDR that is widely used in diverse sciences to make simultaneous inference about a large number of hypotheses. FDR liberalizes the threshold for identifying hypotheses worth further investigation while at the same time controlling the rate of false discoveries. It has become an essential part of the analysis pipeline of complex data around the world. In addition to its wide applicability, the FDR paper includes elegant mathematical statistics.

See also:

• The False Discovery Rate | Stats + Stories Episode 108 with Yoav Benjamini
• ISI President’s Tribute to 2019 Pearson Prize Winner Yoav Benjamini
• Thank you video message from Yoav Benjamini

The prize was presented at the 62nd ISI World Statistics Congress in Kuala Lumpur.

For ISI’s regional initiatives in South East Asia, and for the inaugural ISI Regional Statistics Conference in 2014.

For ISI’s regional initiatives in South East Asia, and for the inaugural ISI Regional Statistics Conference in 2014.

Founder and Editor-in-Chief of the journal Stat.

Co-Editor-in-Chief of the International Statistical Review.

Chair of the Local Programme Committee for the 60th ISI WSC.

Chair of the Scientific Programme Committee for the 60th ISI WSC.

For outstanding and dedicated leadership and service to ISI and the international statistical community, in Statistical Capacity Building developments and innovations, including: ISI leadership workshops and meetings across Africa, Global Partnership for Sustainable Development Data, UN World Data Forum in Cape Town, January 2017, and ISI side events to UNSC.