"The book aims to provide both comprehensive reviews of the classical methods and an introduction to new developments in medical statistics. The topics range from meta analysis, clinical trial design, causal inference, personalized medicine to machine learning and next generation sequence analysis. Since the publication of the first edition, there have been tremendous advances in biostatistics and bioinformatics. The new edition tries to ..."
"This book consists of four parts with 32 chapters adapted for four short courses, from the basic to the advanced levels of medical statistics (biostatistics), ideal for biomedical students ."
"Lu Ying, Fang Ji-qian, Tian Lu. 37. 38. 39. 40. 41. 42. 43. 44. 45. 46. 47. 48. 49.
50. 51. 52. Wang, S., ONeill, R., and Hung, H. (2007). Approaches to evaluation
of treatment effect in randomized clinical trials with genomic subset. Pharm Stat 6:
227–244. Alosh, M. and Hugue, M. (2009). A flexible strategy for testing
subgroups and overall population. Statistics in Medicine 15:3–23. Andersen, P.,
Hansen, M., and Klein, J. (2004). ..."