TRA CỨU
thông tin biểu ghi
  • Sách tham khảo
  • Ký hiệu PL/XG: 610.285 J611
    Nhan đề: Applied medical statistics /
ISBN 9781119716709
DDC 610.285
Tác giả CN Jiang, Jingmei
Nhan đề Applied medical statistics / Jingmei Jiang
Lần xuất bản 1st ed.
Thông tin xuất bản Hoboken, NJ : John Wiley & Sons, Inc, 2022
Mô tả vật lý xvii, 565 pages. : illustrations ; 24 cm.
Tóm tắt Over the past few decades, biomedical data have proliferated rapidly, and opportunities have arisen to use this data to improve human health. Burgeoning methods, such as machine learning techniques, have emerged to respond to the fast growth of the volume of data, and to exploit data in an effective and efficient manner. These methods were founded on statistical learning theory, which is an expansion of traditional statistics. Therefore, cultivating basic statistical thinking capability plays an important and fundamental role in mastering these state-of-the-art methods and embracing the upcoming big data era, which makes a course of introductory biostatistics an indispensable part of the curriculum for medical students. However, as a branch of mathematics, statistics is characterized by hierarchically organized concepts, but a conceptual understanding of statistics is not always intuitive, which makes biostatistics an obstacle that is regarded as a burden for most medical students
Từ khóa tự do Biometry methods
Từ khóa tự do Medicine Research Statistical methods
Từ khóa tự do Biometry
Từ khóa tự do Medical statistics
Khoa Môn Cơ bản
Địa chỉ 300Q12_Kho Mượn_1A(1): M003720
000 00000nam#a2200000u##4500
00149275
0022
0041524A1F9-D6AD-4898-BBF4-17321E22FCB1
005202403061937
008240306s2022 nju eng
0091 0
020 |a9781119716709|c000
039|a20240306193739|btainguyendientu|y20240306193123|ztainguyendientu
040 |aNTT
041 |aeng
044 |anju
082 |a610.285|bJ611|223
100 |aJiang, Jingmei
245 |aApplied medical statistics / |cJingmei Jiang
250 |a1st ed.
260 |aHoboken, NJ : |bJohn Wiley & Sons, Inc, |c2022
300 |axvii, 565 pages. : |billustrations ; |c24 cm.
520 |aOver the past few decades, biomedical data have proliferated rapidly, and opportunities have arisen to use this data to improve human health. Burgeoning methods, such as machine learning techniques, have emerged to respond to the fast growth of the volume of data, and to exploit data in an effective and efficient manner. These methods were founded on statistical learning theory, which is an expansion of traditional statistics. Therefore, cultivating basic statistical thinking capability plays an important and fundamental role in mastering these state-of-the-art methods and embracing the upcoming big data era, which makes a course of introductory biostatistics an indispensable part of the curriculum for medical students. However, as a branch of mathematics, statistics is characterized by hierarchically organized concepts, but a conceptual understanding of statistics is not always intuitive, which makes biostatistics an obstacle that is regarded as a burden for most medical students
541 |aMua
653 |aBiometry methods
653 |aMedicine Research Statistical methods
653 |aBiometry
653 |aMedical statistics
690 |aMôn Cơ bản
852|a300|bQ12_Kho Mượn_1A|j(1): M003720
8561|uhttp://elib.ntt.edu.vn/documentdata01/2 tailieuthamkhao/600 congnghe/anhbiasach/49275_appliedmedicalstatistics thumbimage.jpg
890|a1|b0|c0|d0
Dòng Mã vạch Nơi lưu S.gọi Cục bộ Phân loại Bản sao Tình trạng Thành phần Đặt chỗ
1 M003720 Q12_Kho Mượn_1A 610.285 J611 Sách mượn về nhà 1

Không có liên kết tài liệu số nào