) {% B) M7 }2 H: U5 i9 m) k: _ . l+ |, l( Q8 d+ X6 _5 tTentative Session- o6 @8 j0 X# a+ z" k1 N
China Classification and Variable Selection % D$ A; ?6 q. H' M# ?) i
(Chair: Yang Li, Renmin University of China)9 ?) c/ I4 J4 H, p c3 j
Clinical information data mining and application: q+ t" j% D: n9 R9 R* |8 l
(Chair: Xiuhua Guo, Capital Medical University) 2 d; I, l4 H1 H) c X% U1 [& RJapan Missing Data in Clinical Trials: Basic Concepts and Practical Issues in Japan1 y* X3 \+ C) A
(Chair: Hideki Suganami, Ph.D. Kowa Co., Ltd., Satoru Fukinbara, Ph.D. Ono Pharmaceutical Co., Ltd.)& s8 h* U0 ^4 Y) V8 n; ^
/ n) O; S. P: w
Design and conduct of clinical trials for preventing missing data ; c! k" r6 H- \(Speaker: Shiro Tanaka, Ph.D.Kyoto University)) j/ c3 y4 O( e* p5 c
Some examples of the treatment of missing data in investigator-initiated clinical trials. Y/ k- b1 `% Z. W0 j7 ^8 f( O2 ~4 O8 O
(Speaker: Yoichi M. Ito, Ph.D.Hokkaido University) 3 N8 e6 Z8 T7 ]+ S# Z; G Actual practice of handling of missing data in clinical trials : y8 B3 \2 e( @- |7 g(Speaker: Nobushige Matsuoka, Ph.D., Yoichi Ii, Ph.D., Tamotsu Yoshiyama, M.S., Norisuke Kawai, Ph.D. ,Clinical Statistics, Pfizer Japan Inc.) 6 ^; b& Z# J. a7 |* Z& _* [ Survey results from JPMA member companies: Current approach for missing data in pivotal registration trials $ g( i4 K+ s: q" L(Speaker: Satoru Tsuchiya, M.S. ,Biostatistics group, Data science Dainippon Sumitomo Pharma, Co., Ltd.) ' u" Q% ?( j7 k7 G/ T* g- S6 h * H0 C0 j# s; \+ M( n% H6 m - P5 k0 I6 |: {4 J4 D w& y! k9 ] m; m" r; V7 N N
6 E+ A7 m" a* T1 N' Y 4 m* W( z% o0 M/ \% Z1 |Korea Selected Topics in Biometrics study4 d) s6 r1 c5 O
(Chair:Hyonggin An, Korea University), I9 w6 @1 _8 l8 e5 q, _- t
Identification of Variant Associated with Disease using Protein Structural Feature-based Prioritization 1 R. l) `7 \! n8 f(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 ]% y1 i7 v+ D & x: P* Q' w0 t8 @
Differential Expression Detection in RNA-seq Data with a Small Number of Replicates 0 u7 l& u6 K) }) \% ^9 E2 x(Speaker: Jungsoo Gim(Seoul National University), Taesung Park(Seoul National University))# n+ p- _7 k( H3 R# P/ d# ~
Investigation of Relationship between Influenza Occurrence and Climatic Factors in Three Major Regions in Korea using Time Series Analysis* u/ `! H/ L m3 i/ i
(Speaker: Hyonggin An (Korea University College of Medicine)and Sang-A Cho (National Cancer Center in Korea))2 |. K F/ U' Y/ @5 u5 ]0 E( Z
Chair: Jinheum Kim, University of Suwon 7 r, l' z! v T! q3 W* d3 E 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)) 5 r V4 [9 R- E1 g6 Y5 F Variable Selection in Competing-Risks Frailty Models using Penalized H-likelihood, }/ k7 Y- \ F2 ~" p0 n! y
(Speaker: Do Ha (Daegu Haany University) and Youngjo Lee (Seoul National University)) , h0 P, B/ n% @ Gene-Gene Interaction Analysis with Survival Phenotype 9 n' D6 Z' C- j% Q5 Z4 t (Speaker: Seungyeon Lee (Sejong University), Jin-SeokOh(Sejong University), Min-Seok Kwon(Seoul National University), and Taesung Park(Seoul National University))' v$ `7 x, m- e4 s
Maximally Selected Two-sample Gray Statistics with Competing Risks Data : u5 h9 r5 x) i0 K(Speaker: Jinheum Kim (University of Suwon), Sook-young Woo(Samsung Advanced Institute of Technology), Seonwoo Kim(Samsung Advanced Institute of Technology))/ x* ~: S2 i5 {
Singapore Session title: Likelihood based inference for complex models : p9 m+ C# T* W. K/ C# ^) i+ n5 V5 n A multiple imputation method for longitudinal data with covariate measurement error under generalized partially linear mixed models : a3 y3 [, `- k0 o O(Speaker: Xiang Liming(Nanyang Technological University))0 h& t2 A5 e/ C/ D
Bayesian Empirical Likelihood! }9 b9 {9 ~9 W5 M' X5 B
(Speaker: Sanjay Chaudhuri(National University of Singapore, Singapore)) 7 l) r p u* }1 C- t, _ Consistent Cross-Validation for Tuning Parameter Selection in High-Dimensional Variable Selection , O7 c# a3 I& o% g A(Speaker: Yang Feng(Columbia University)) $ }2 g- z1 {2 p1 ]9 t A sign based loss approach to model selection in nonparametric regression; b$ D9 r2 x( ]+ ^( S- {0 T) K. r
(Speaker: Li Jialiang (National University of Singapore, Singapore)): j) V. D" ]$ _/ o' ]- u. v
Thailand Meta analysis in Clinical Trials4 ]: ?' ~$ C/ o- ~# g4 V8 |
Publication Bias and Sensitivity Analysis for Meta-Analysis of Multi-Arm Trials& u" g! E A( C( [9 u
(Speaker: Dr. Hathaikan Chootrakool (Suan Dusit Rajabhat University)) . t# O) S5 B) e4 b# ^* O: G Some New Tests for Homogeneity of Relative Risks in Meta-Analysis 2 F$ X% j. p# H(Speaker: Assoc. Prof. Dr. Chtwongkasemukiat Viwatwongkasem (Mahidol University))8 ]0 R5 \8 b4 K: h# H, n4 _8 Z
Application of Network Meta-analysis in Randomized Controlled Trials 5 t" W% E8 R2 L1 b6 f5 i2 V(Speaker: Dr. Ammarin Thakkinstian(Ramathibodi Hospital, Mahidol University))9 K( d) `& Z$ F+ n
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% S1 r' ~; ~ J% r# q1 j. e$ g* i5 n( N$ H& O; N" c: c