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) C1 k# x3 ?1 c* I- x4 CTentative Session8 I( {2 @: t" \% N$ A. ]
China Classification and Variable Selection * x$ v" n# Y1 s: ?: B8 R(Chair: Yang Li, Renmin University of China) ! U7 p I1 _. U: y, _% s4 v* P. ? Clinical information data mining and application. ]* Z( d6 }# }" P( U3 z
(Chair: Xiuhua Guo, Capital Medical University) 7 {3 l5 @- o& gJapan Missing Data in Clinical Trials: Basic Concepts and Practical Issues in Japan * G# E. c& z6 H$ _2 H2 K (Chair: Hideki Suganami, Ph.D. Kowa Co., Ltd., Satoru Fukinbara, Ph.D. Ono Pharmaceutical Co., Ltd.)' O2 G) a. ]1 \
# J4 |+ H8 n- \" U Design and conduct of clinical trials for preventing missing data$ ]0 Y0 `2 i/ P1 x4 a
(Speaker: Shiro Tanaka, Ph.D.Kyoto University): F" |5 ?. |& u" L: X( w U
Some examples of the treatment of missing data in investigator-initiated clinical trials 5 u* E5 K, @) M. J3 G(Speaker: Yoichi M. Ito, Ph.D.Hokkaido University)# M+ h* r# F! I2 D
Actual practice of handling of missing data in clinical trials ( Y* e7 t. \, u/ r9 C1 P6 E
(Speaker: Nobushige Matsuoka, Ph.D., Yoichi Ii, Ph.D., Tamotsu Yoshiyama, M.S., Norisuke Kawai, Ph.D. ,Clinical Statistics, Pfizer Japan Inc.) 1 p9 p" a) J5 H Survey results from JPMA member companies: Current approach for missing data in pivotal registration trials2 ^0 P4 p; [( i% X5 k
(Speaker: Satoru Tsuchiya, M.S. ,Biostatistics group, Data science Dainippon Sumitomo Pharma, Co., Ltd.) 2 k% q: K* L% ^' w, N# s) X! d( U: _; c. f! @9 f0 m: C
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: j( \! g/ G# C3 D+ b8 O5 a$ vKorea' B/ Q3 Z. I+ R. k
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# A+ w! K5 R: u1 ^9 |% Z2 S7 U! a9 lKorea Selected Topics in Biometrics study5 b! ^$ T; b; ?: E6 t9 }2 ]
(Chair:Hyonggin An, Korea University)4 ]1 P' R, h1 N. n2 J% ?) W
Identification of Variant Associated with Disease using Protein Structural Feature-based Prioritization+ T% `+ Z% ~1 I8 a- }* ^
(Speaker: Tae-Rim Lee,Korea National Open University,Min-Seok Kwon(Seoul National University),Sungho Won(Chung Ang University),Taesung Park(Seoul National University)). }5 O' `) F0 ]7 r! `3 r
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Differential Expression Detection in RNA-seq Data with a Small Number of Replicates 5 D- U% j# g( N; ~* Y/ v(Speaker: Jungsoo Gim(Seoul National University), Taesung Park(Seoul National University)) - S2 a$ ^9 ~( d+ C' a2 Z' } Investigation of Relationship between Influenza Occurrence and Climatic Factors in Three Major Regions in Korea using Time Series Analysis+ I6 O7 l" b: Q* s
(Speaker: Hyonggin An (Korea University College of Medicine)and Sang-A Cho (National Cancer Center in Korea))1 T- v( {+ s# k# n$ I2 a1 n
Chair: Jinheum Kim, University of Suwon : E8 G/ N% i; u Additive Hazard Model with Additive Frailty for Semi-Competing Risks Data (Speaker: Yun-Nam Kim (Severance Hospital Clinical Trials Center), Chung Mo Nam(Yonsei University College of Medicine), Yang-Jin Kim(Sookkmyung Women’s University), and Jinheum Kim(University of Suwon))& W+ Y" E% x- T* y/ @+ e
Variable Selection in Competing-Risks Frailty Models using Penalized H-likelihood- c8 S; w- D; b; L+ Z! U
(Speaker: Do Ha (Daegu Haany University) and Youngjo Lee (Seoul National University)) . T' c; _6 [) e& t Gene-Gene Interaction Analysis with Survival Phenotype2 r8 q3 q T {% i n: n
(Speaker: Seungyeon Lee (Sejong University), Jin-SeokOh(Sejong University), Min-Seok Kwon(Seoul National University), and Taesung Park(Seoul National University))8 W0 b) W2 ^3 B8 C
Maximally Selected Two-sample Gray Statistics with Competing Risks Data $ y/ c1 u" u; M/ `0 Y(Speaker: Jinheum Kim (University of Suwon), Sook-young Woo(Samsung Advanced Institute of Technology), Seonwoo Kim(Samsung Advanced Institute of Technology)) ( \% w3 z4 Z; c' I5 i+ Y. p" x- BSingapore Session title: Likelihood based inference for complex models6 v* H% { _- P9 H: O) ~
A multiple imputation method for longitudinal data with covariate measurement error under generalized partially linear mixed models% }) c! V: v5 E
(Speaker: Xiang Liming(Nanyang Technological University)) * \, c0 e9 ]" `, }$ |' P' M; I1 p Bayesian Empirical Likelihood ) Q" u# f4 h& v. y" i" f( l/ D0 Z( j(Speaker: Sanjay Chaudhuri(National University of Singapore, Singapore))5 L1 x1 V2 k& Y& ~1 v! m7 F$ v
Consistent Cross-Validation for Tuning Parameter Selection in High-Dimensional Variable Selection ; c/ ?+ n- w1 J- Y7 \" F(Speaker: Yang Feng(Columbia University)) 3 E' i. ]/ j" p* S A sign based loss approach to model selection in nonparametric regression. n! r1 [5 h3 X2 l; I
(Speaker: Li Jialiang (National University of Singapore, Singapore)) 8 H1 F. `* Y) c8 ^" h- ~Thailand Meta analysis in Clinical Trials# M/ U) v2 J) ~% _9 j1 E* u
Publication Bias and Sensitivity Analysis for Meta-Analysis of Multi-Arm Trials! {0 M3 v- P6 K- N! A/ ] M" v
(Speaker: Dr. Hathaikan Chootrakool (Suan Dusit Rajabhat University))& J2 V8 X6 R( [3 L3 J# a
Some New Tests for Homogeneity of Relative Risks in Meta-Analysis / |8 ]" l4 Q& ^2 G(Speaker: Assoc. Prof. Dr. Chtwongkasemukiat Viwatwongkasem (Mahidol University))% D. O( N5 T. V2 h' G( S3 R
Application of Network Meta-analysis in Randomized Controlled Trials % t9 z3 s# }. y8 u/ E7 M(Speaker: Dr. Ammarin Thakkinstian(Ramathibodi Hospital, Mahidol University)) & A' E& e# r7 S% Z7 w z0 w) Z5 S$ { I# [ y( h
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