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10 October 2018 | Story UFS | Photo Sonia Small
Kovsies Dream Team takes the netball crown
The Dream Team from the UFS celebrate their victory after beating Tuks by 63-59 in the final of the Varsity Netball competition.


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The Kovsie netball team has the Varsity Netball trophy, one of the most prestigious in university sport, back in the cabinet. With this, they are now the most successful team in the history of the competition, having won three (2013, 2014 and 2018) of the six titles.

The Dream Team earned the prize thanks to a brilliant performance in the final against the defending champs, Tuks, winning by 63-59 in front of a sold-out Callie Human Centre on Monday 8 October 2018. It was the first final staged in Bloemfontein.

The Kovsies was in the lead after each quarter, but Tuks seemed to ascend in the final quarter, leading by 49-46 with nine minutes remaining. The home team then called the power play (when goals score two points) and during a golden five minutes, they built up a 63-55 lead to seal the match.

It was a brilliant turnaround for the Dream Team after losing twice to the same team in July – with 10 and 18 goals.

“The team played excellently, and I am so proud of their performance. I watched them perform throughout this year’s Varsity Netball series and want to congratulate them on their victory on behalf of the university’s executive management and the entire university community,” said Prof Francis Petersen, Rector and Vice-Chancellor of the University of the Free State. 

“There’s nothing greater than playing for a great team that supports you and trusts you; thus, every time you go on court you want to give your all for them,” said Khanyisa Chawane, who played centre and wing attack in the final.

“We came a long way; there was no way we were going to give it away once we got to the final. Kovsies have a legacy and this is a legacy we want to carry through.”

Chawane was named the Player of the Tournament. She is the first player to be awarded the best player title in the Premier League, National Championship, and Varsity Netball in the same year.

Centre-court player Sikholiwe Mdletshe also referred to the legacy.

“We are starting our legacy, we knew we had to win, other teams can’t come here and dominate.”

“It is such an honour, the fact that we could do it in front of our home crowd support. We waited very long for this,” said captain Alicia Puren, who played in her final game after five seasons with the Kovsies.

According to Burta de Kock, the coach, the players used the power play in the final quarter very well in which they scored eight goals to four.  “We spoke a lot about being calm and keeping position in those two minutes.” De Kock said the large crowd was a huge advantage. “We’ve never had such a massive crowd before. It definitely helped us.”

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Harvard couple to present lectures on Biostatistics and Mathematics at the UFS
2015-12-07


Professor Donald Rubin

Prof Donald Rubin (John L. Loeb Professor of Statistics at Harvard University) and Elizabeth Zell (MStat - mathematical statistician in the Division of Bacterial Diseases) will visit the University of the Free State (UFS) where they will present lectures on their respective work.

Over his prestigious academic career, Prof Don Rubin’s 400 publications and 13 books have earned him around 180 000 citations at an h-index of 113. He is one of the most cited statisticians/mathematicians/economists/psychologists in the world over the last 10 -15 years. He has supervised 35 PhD candidates as sole-supervisor, 17 more as co-supervisor, with a further eight in the pipeline.

Prof Rubin who will meet with UFS academics in the Department of Mathematics and Actuarial Sciences will also deliver a lecture: Rerandomisation to improve covariate balance in experiments.

Randomised experiments are the “gold standard” for estimating causal effects, yet in practice, chance imbalances often exist in covariate distributions between treatment groups. If covariate data are available before units are exposed to treatments, these chance imbalances can be mitigated by first checking covariate balance before the physical experiment takes place. Provided a precise definition of imbalance has been specified in advance, unbalanced randomisations can be discarded, followed by a rerandomisation. This process can continue until a randomisation yielding balance according to the definition is achieved. By improving covariate balance, rerandomisation provides more precise and trustworthy estimates of treatment effects.

Prof Rubin received an honorary professorship from the Faculty of Natural and Agricultural Sciences at the UFS.


Elizabeth Zell

The lecture will take place on:
Date: Tuesday 8 December 2015
Time: 16:00
Venue: Albert Wessels Auditorium, Bloemfontein Campus

Zell earned her Master’s degree in Statistics at North Carolina State University, and for more than two decades, was an active bio-statistical researcher in various offices of the Centers for Disease Control (CDC). Since 2013, she has been the Principal Statistician and President of Stat-Epi Associates, Inc. Her 150+ publications have earned her 14 500 citations at an h-index of over 50. She is a Fellow of the American Statistical Association, and, in 2010, she received the Statistics Section Government Award for outstanding contributions to statistics and public health by the American Public Health Association. During her career at the CDC, she earned more than 20 CDC research awards and honours.

She will deliver two lectures at the UFS. The first is entitled A Potential Outcomes Approach to Documenting the Public Health Impact of the Introduction of PCV13 for the Prevention of Invasive Pneumococcal Disease. The topic of her second lecture is: Assessing the Effectiveness of Intrapartum Antibiotic Prophylaxis for Prevention of Early-Onset Group B Streptococcus Disease through Propensity Score Design

Elizabeth’s lectures will take place on:
Date: Wednesday 9 December 2015
Time: 10:45 and 13:00
Venue: West Block 111, Bloemfontein Campus

For more information, please contact Dr Michael von Maltitz at VMaltitzMJ@ufs.ac.za.

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