Biyoistatistiğin Gelişimi: Geçmişten Geleceğe
Biostatistics which is the application of statistics in the field of health and biology; provides powerful tools for creating questions, designing studies, developing measurements, and analyzing data and has an important place in determining the efficacy and safety of products such as drugs and vacc...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Duzce University
2021-12-01
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| Series: | Düzce Tıp Fakültesi Dergisi |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/en/download/article-file/2088028 |
| _version_ | 1797425289997844480 |
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| author | A. Ergun Karaağaoğlu Sevilay Karahan |
| author_facet | A. Ergun Karaağaoğlu Sevilay Karahan |
| author_sort | A. Ergun Karaağaoğlu |
| collection | DOAJ |
| description | Biostatistics which is the application of statistics in the field of health and biology; provides powerful tools for creating questions, designing studies, developing measurements, and analyzing data and has an important place in determining the efficacy and safety of products such as drugs and vaccines. The impact of statistical sciences on medical and biological sciences has increased rapidly during the last few decades. Clinicians need to understand statistics well enough to follow up and evaluate empirical studies that provide an evidence base for clinical practice. Recent advances in biomedical research have created both new challenges and opportunities for statisticians and data scientists. Big data analytics, precision medicine, artificial intelligence, causal inference, and other new research resources inspire data scientists to develop modern statistical methods and innovative inference procedures. Therefore new philosophies such as causal models and prediction, new models such as graphical chain models and random effects models, faster computers and new clever algorithms for integration and maximization are needed. Without adequate investment in biostatistics, all medical research is at a significant risk of “drowning in data, but starving for knowledge”. |
| first_indexed | 2024-03-09T08:13:59Z |
| format | Article |
| id | doaj.art-c4bede6b449b4779bff829fc3332faa0 |
| institution | Directory Open Access Journal |
| issn | 1307-671X |
| language | English |
| last_indexed | 2024-03-09T08:13:59Z |
| publishDate | 2021-12-01 |
| publisher | Duzce University |
| record_format | Article |
| series | Düzce Tıp Fakültesi Dergisi |
| spelling | doaj.art-c4bede6b449b4779bff829fc3332faa02023-12-02T22:49:54ZengDuzce UniversityDüzce Tıp Fakültesi Dergisi1307-671X2021-12-0123323423810.18678/dtfd.102531497Biyoistatistiğin Gelişimi: Geçmişten GeleceğeA. Ergun Karaağaoğlu0Sevilay Karahan1HACETTEPE ÜNİVERSİTESİ, TIP FAKÜLTESİ, TEMEL TIP BİLİMLERİ BÖLÜMÜ, BİYOİSTATİSTİK ANABİLİM DALIHACETTEPE ÜNİVERSİTESİ, TIP FAKÜLTESİ, TEMEL TIP BİLİMLERİ BÖLÜMÜ, BİYOİSTATİSTİK ANABİLİM DALIBiostatistics which is the application of statistics in the field of health and biology; provides powerful tools for creating questions, designing studies, developing measurements, and analyzing data and has an important place in determining the efficacy and safety of products such as drugs and vaccines. The impact of statistical sciences on medical and biological sciences has increased rapidly during the last few decades. Clinicians need to understand statistics well enough to follow up and evaluate empirical studies that provide an evidence base for clinical practice. Recent advances in biomedical research have created both new challenges and opportunities for statisticians and data scientists. Big data analytics, precision medicine, artificial intelligence, causal inference, and other new research resources inspire data scientists to develop modern statistical methods and innovative inference procedures. Therefore new philosophies such as causal models and prediction, new models such as graphical chain models and random effects models, faster computers and new clever algorithms for integration and maximization are needed. Without adequate investment in biostatistics, all medical research is at a significant risk of “drowning in data, but starving for knowledge”.https://dergipark.org.tr/en/download/article-file/2088028biyoistatistikveri bilimibüyük veribiostatisticsdata sciencebig data |
| spellingShingle | A. Ergun Karaağaoğlu Sevilay Karahan Biyoistatistiğin Gelişimi: Geçmişten Geleceğe Düzce Tıp Fakültesi Dergisi biyoistatistik veri bilimi büyük veri biostatistics data science big data |
| title | Biyoistatistiğin Gelişimi: Geçmişten Geleceğe |
| title_full | Biyoistatistiğin Gelişimi: Geçmişten Geleceğe |
| title_fullStr | Biyoistatistiğin Gelişimi: Geçmişten Geleceğe |
| title_full_unstemmed | Biyoistatistiğin Gelişimi: Geçmişten Geleceğe |
| title_short | Biyoistatistiğin Gelişimi: Geçmişten Geleceğe |
| title_sort | biyoistatistigin gelisimi gecmisten gelecege |
| topic | biyoistatistik veri bilimi büyük veri biostatistics data science big data |
| url | https://dergipark.org.tr/en/download/article-file/2088028 |
| work_keys_str_mv | AT aergunkaraagaoglu biyoistatistigingelisimigecmistengelecege AT sevilaykarahan biyoistatistigingelisimigecmistengelecege |