Statistical learning for biomedical data

This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if t...

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গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক: Malley, James D. Malley, Karen G. Pajevic, Sinisa
অন্যান্য লেখক: Malley, Karen G., Pajevic, Sinisa
বিন্যাস: Printed Book
প্রকাশিত: Cambridge : Cambridge University Press, 2011.
মালা:Practical guides to biostatistics and epidemiology
বিষয়গুলি:
Medical statistics
Biometry
Data Interpretation, Statistical.
Models, Statistical.
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100 1 |a Malley, James D.  |a Malley, Karen G.  |a Pajevic, Sinisa 
245 1 0 |a Statistical learning for biomedical data  
260 |a Cambridge :  |b Cambridge University Press,  |c 2011. 
300 |a xii, 285 p. :  |b ill. (some col.) ; 
490 1 |a Practical guides to biostatistics and epidemiology 
520 |a This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning machines come from the world of probability and computer science but are not yet widely used in biomedical research. 
650 0 |a Medical statistics 
650 0 |a Biometry 
650 1 2 |a Data Interpretation, Statistical. 
650 2 2 |a Models, Statistical. 
700 1 |a Malley, Karen G. 
700 1 |a Pajevic, Sinisa. 
942 |c BK 
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