000 03178nam a22003855i 4500
001 288310
003 MX-SnUAN
005 20160429154623.0
007 cr nn 008mamaa
008 150903s2013 xxu| o |||| 0|eng d
020 _a9781461443223
_99781461443223
024 7 _a10.1007/9781461443223
_2doi
035 _avtls000341275
039 9 _a201509030829
_bVLOAD
_c201405050226
_dVLOAD
_y201402061055
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aRC261-271
100 1 _aTang, Wan.
_eeditor.
_9317957
245 1 0 _aModern Clinical Trial Analysis /
_cedited by Wan Tang, Xin Tu.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2013.
300 _aIx, 253 páginas 15 ilustraciones, 1 ilustraciones en color.
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aApplied Bioinformatics and Biostatistics in Cancer Research
500 _aSpringer eBooks
505 0 _aPreface -- Survival Analysis -- Longitudinal Data Analysis -- Assessment of Diagnostic Tests and Instruments -- Analysis of Sequential Clinical Trials -- Dynamic Treatment Regimes -- Statistical Issues with Trial Data and Economic Modeling for Cost-effectiveness Evaluation -- Active-controlled Clinical Trials -- Thorough QT/QTc Clinical Trials -- Causal Inference in Cancer Clinical Trials -- Index.
520 _aThis volume covers classic as well as cutting-edge topics on the analysis of clinical trial data in biomedical and psychosocial research and discusses each topic in an expository and user-friendly fashion. Starting with survival data analysis, this book transitions from such a classic topic to modern issues by stepping through diagnostic test and instrument assessment, sequential and dynamic treatment regimen, cost-effectiveness evaluation, equivalence testing.  As some type of cancer such as the effect of smoking on lung cancer cannot be studied using randomized trials, a chapter on analysis of non-randomized studies is also included.  The book concludes with a chapter discussing the opportunities and challenges that lie ahead in developing on person-centered treatment regimens.  The book provides an overview of the primary statistical and data analytic issues associated with each of the selected topics, followed by a discussion of approaches for tackling such issues and available software packages for carrying out the analyses. Medical researchers with some background in clinical trial design and regression analysis as well as biostatisticians will find this book informative and helpful.   
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aTu, Xin.
_eeditor.
_9317958
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781461443216
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4614-4322-3
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c288310
_d288310