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% q. L2 f) K! @# ] . o& f% ^2 S) p3 ^& @7 ~% }+ @ # y3 e& Z+ \( STentative Session( S0 e" ~' h$ Y$ m! P
China Classification and Variable Selection ' T0 @* Q! [7 x8 X) M2 Q& e" B9 g
(Chair: Yang Li, Renmin University of China) 6 i" g2 T/ P1 ]0 g; A5 @( z Clinical information data mining and application" B4 B) x9 R+ k$ K. J. K
(Chair: Xiuhua Guo, Capital Medical University) / {7 u. ?( v+ l3 bJapan Missing Data in Clinical Trials: Basic Concepts and Practical Issues in Japan ) J+ e1 P$ J# a( N& \ (Chair: Hideki Suganami, Ph.D. Kowa Co., Ltd., Satoru Fukinbara, Ph.D. Ono Pharmaceutical Co., Ltd.)' f* F2 \4 J7 f: D; p. R9 }
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Design and conduct of clinical trials for preventing missing data " q) k8 o0 h0 u( N5 W2 F8 j(Speaker: Shiro Tanaka, Ph.D.Kyoto University)$ u- w6 F& h# H# a* S& B3 Z
Some examples of the treatment of missing data in investigator-initiated clinical trials ! J9 a8 O. A2 Q/ P2 E# O(Speaker: Yoichi M. Ito, Ph.D.Hokkaido University)/ Y1 ]& ^, G- a" U1 ~
Actual practice of handling of missing data in clinical trials + J5 b! e U! W! R, z2 v(Speaker: Nobushige Matsuoka, Ph.D., Yoichi Ii, Ph.D., Tamotsu Yoshiyama, M.S., Norisuke Kawai, Ph.D. ,Clinical Statistics, Pfizer Japan Inc.)& j2 W X4 K2 H
Survey results from JPMA member companies: Current approach for missing data in pivotal registration trials, B; W( B. E! w6 Z! [
(Speaker: Satoru Tsuchiya, M.S. ,Biostatistics group, Data science Dainippon Sumitomo Pharma, Co., Ltd.) 8 _/ t9 {3 p5 m A1 g3 L9 D2 O$ U ?7 V/ T, o( e+ s$ l
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Korea Selected Topics in Biometrics study* }" R" Z7 h I: ~# p) Z3 X Y. Q3 n- b
(Chair:Hyonggin An, Korea University)% q! s- ~# @/ ^" W% V# L
Identification of Variant Associated with Disease using Protein Structural Feature-based Prioritization% t9 G/ T- H2 u5 k/ L7 f( U% t
(Speaker: Tae-Rim Lee,Korea National Open University,Min-Seok Kwon(Seoul National University),Sungho Won(Chung Ang University),Taesung Park(Seoul National University)), W) |3 f) r. x5 U: J7 O
) m V+ Y, P. i) ?. t: m" u# j Differential Expression Detection in RNA-seq Data with a Small Number of Replicates 8 m3 F1 Q4 W- D0 H1 p(Speaker: Jungsoo Gim(Seoul National University), Taesung Park(Seoul National University)) & S3 a! _' N; K Investigation of Relationship between Influenza Occurrence and Climatic Factors in Three Major Regions in Korea using Time Series Analysis5 p" m/ M; A2 N! d9 S! c) W
(Speaker: Hyonggin An (Korea University College of Medicine)and Sang-A Cho (National Cancer Center in Korea)) ; U* b' k* f0 y+ X" K Chair: Jinheum Kim, University of Suwon 5 T6 ?4 ]4 `" }; P1 H 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)) 1 f5 q; E+ D1 |: t Variable Selection in Competing-Risks Frailty Models using Penalized H-likelihood , y+ ]& C: P5 l3 p c(Speaker: Do Ha (Daegu Haany University) and Youngjo Lee (Seoul National University))5 Y. `1 H" n" Z" t. ]+ x: L
Gene-Gene Interaction Analysis with Survival Phenotype ( ?- u5 S( E4 z (Speaker: Seungyeon Lee (Sejong University), Jin-SeokOh(Sejong University), Min-Seok Kwon(Seoul National University), and Taesung Park(Seoul National University))$ b+ C0 p" W/ C3 |8 e; g
Maximally Selected Two-sample Gray Statistics with Competing Risks Data- j. U; k6 t W
(Speaker: Jinheum Kim (University of Suwon), Sook-young Woo(Samsung Advanced Institute of Technology), Seonwoo Kim(Samsung Advanced Institute of Technology)) # }$ S1 Z3 n/ }* h r! j# x& USingapore Session title: Likelihood based inference for complex models + n6 S$ n/ Q Q A multiple imputation method for longitudinal data with covariate measurement error under generalized partially linear mixed models' j. J M7 p% L+ C
(Speaker: Xiang Liming(Nanyang Technological University)) ; `- {+ j* W7 [/ T* _1 F- @ Bayesian Empirical Likelihood 9 H/ A) h) M/ I& O1 M(Speaker: Sanjay Chaudhuri(National University of Singapore, Singapore))5 H0 ?1 ]+ ]! r- q! O
Consistent Cross-Validation for Tuning Parameter Selection in High-Dimensional Variable Selection ( e H. F: d! ~4 B$ T( ?9 z- V& [(Speaker: Yang Feng(Columbia University)) y, y0 e7 H% I5 L( W A sign based loss approach to model selection in nonparametric regression , R3 s1 M9 Q1 M* J& P: o2 E) \(Speaker: Li Jialiang (National University of Singapore, Singapore))) {! M* E# x8 P8 E
Thailand Meta analysis in Clinical Trials 9 O b8 C- N8 O9 k9 i Publication Bias and Sensitivity Analysis for Meta-Analysis of Multi-Arm Trials2 w& k( f9 V+ P
(Speaker: Dr. Hathaikan Chootrakool (Suan Dusit Rajabhat University)); p% a, x: w$ _1 O& `% A" S
Some New Tests for Homogeneity of Relative Risks in Meta-Analysis y) [6 v% y4 z' X; k- Q# w
(Speaker: Assoc. Prof. Dr. Chtwongkasemukiat Viwatwongkasem (Mahidol University)) - v; L. \& u$ q/ H4 Z/ m Application of Network Meta-analysis in Randomized Controlled Trials ?# J6 B- |- J: z7 m
(Speaker: Dr. Ammarin Thakkinstian(Ramathibodi Hospital, Mahidol University))3 \3 }* T% [# }- S: f/ a& R+ [
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