" X1 S' O% _( K8 g$ o' c 2 D3 _2 k: z- K% d' T8 h; y4 {. h0 t& N
; f& a! j7 D1 j- F6 x6 `
6 [% t0 h" q C4 y+ e. ^2 Z ] " K) d' j. X4 G9 I: y. z1 o" O# D# {
3 x! F. s) u4 f: K! _1 O: u
5 o- _% ?, V1 [( G: g0 B" E
. R3 U0 L8 p" D/ h 1 m) p1 v, n- E! e L2 p! ~1 q/ P8 m0 ^8 n u+ `
9 G: m: Y8 \7 e/ s / l8 B( `7 g G" g9 B/ { }7 J6 S; N, A
; h1 B, B$ K; s& g! C/ N
# o( Z" w5 R3 b* _* `: K* C9 A. o M8 W' b3 v
* p& Y# P. t. G8 t4 ~6 M% ?& q9 h0 i* D$ V; X5 w
; ^: k) F5 w) R7 Y( ]! E5 h. H$ b
4 v: m% r4 F+ A R
Tentative Session/ x9 z: `4 r0 i! M/ J* U
China Classification and Variable Selection 2 h* [! w$ u6 l) R: Z- Q2 I(Chair: Yang Li, Renmin University of China)! ?- k, r8 e Y) W; }2 P
Clinical information data mining and application ' ^6 B1 k* p# w/ f(Chair: Xiuhua Guo, Capital Medical University)9 D! F( s$ k! w; J
Japan Missing Data in Clinical Trials: Basic Concepts and Practical Issues in Japan * [" q7 j6 S8 s, _ (Chair: Hideki Suganami, Ph.D. Kowa Co., Ltd., Satoru Fukinbara, Ph.D. Ono Pharmaceutical Co., Ltd.)* v# | B- [5 c k" h9 L" n- ~
3 A. b1 [$ Z9 C2 ]8 ]0 O1 W7 W
Design and conduct of clinical trials for preventing missing data 5 f( P6 b$ R; r; p9 Z(Speaker: Shiro Tanaka, Ph.D.Kyoto University) ! U! _" p+ G9 z Some examples of the treatment of missing data in investigator-initiated clinical trials: Q9 q& o3 H2 \/ O
(Speaker: Yoichi M. Ito, Ph.D.Hokkaido University) [# r& S, M& P. X5 I8 W
Actual practice of handling of missing data in clinical trials 1 u* _% x) h7 Q5 V0 G9 w" O# [$ m
(Speaker: Nobushige Matsuoka, Ph.D., Yoichi Ii, Ph.D., Tamotsu Yoshiyama, M.S., Norisuke Kawai, Ph.D. ,Clinical Statistics, Pfizer Japan Inc.)) V" A1 v+ Y8 w& J8 I% I
Survey results from JPMA member companies: Current approach for missing data in pivotal registration trials: ~! U! R( r1 ~* X* D
(Speaker: Satoru Tsuchiya, M.S. ,Biostatistics group, Data science Dainippon Sumitomo Pharma, Co., Ltd.) 9 N$ Y- t3 T( m( k; r* O* j 5 f* B: h0 l" \0 _5 ]! H) [; J1 T. H: v0 K" B
: A) s! B% w9 n " \9 {. N6 Q$ ?; KKorea 8 X2 d. h7 m1 ~5 [ [) m, D& ]; w& P1 f$ u4 {
. ]9 Z9 }9 W0 @! u; o3 X' h) J g1 Q* V: h7 m% {; P Q+ k$ R- \8 L
, e; S. G3 T1 ]' R
/ }# T K2 r5 C T9 Q3 S
C" q: p1 p3 ?* }) l) i
Korea Selected Topics in Biometrics study: \' u( H' D% _: I
(Chair:Hyonggin An, Korea University)* [& }3 g0 H% |0 l7 {
Identification of Variant Associated with Disease using Protein Structural Feature-based Prioritization # |0 T( C: v/ w( [7 N(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, f J. T a7 r9 ~* L
3 e' S8 U Z- Q) S! a3 z4 P( S Differential Expression Detection in RNA-seq Data with a Small Number of Replicates ( n8 b. ?4 m* Q/ }0 a: b(Speaker: Jungsoo Gim(Seoul National University), Taesung Park(Seoul National University)) , Q5 O9 o' q: c$ c6 Z" `8 w" a Investigation of Relationship between Influenza Occurrence and Climatic Factors in Three Major Regions in Korea using Time Series Analysis. L+ o5 _& g, b& E1 R( N) H. K" m
(Speaker: Hyonggin An (Korea University College of Medicine)and Sang-A Cho (National Cancer Center in Korea)) 8 q; X$ U; E* e) N Chair: Jinheum Kim, University of Suwon + u! G; m, P- R9 G2 [6 @2 c 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)) 0 W9 j5 I3 P8 b: ^$ ? Variable Selection in Competing-Risks Frailty Models using Penalized H-likelihood6 g f$ ~9 O0 ~# a1 E
(Speaker: Do Ha (Daegu Haany University) and Youngjo Lee (Seoul National University))4 {. [: ]0 Y: Z3 V+ V0 s; z- `
Gene-Gene Interaction Analysis with Survival Phenotype/ a( ?/ ^2 K8 `6 B9 V
(Speaker: Seungyeon Lee (Sejong University), Jin-SeokOh(Sejong University), Min-Seok Kwon(Seoul National University), and Taesung Park(Seoul National University)) ' |$ n* ^0 G1 ^/ L. [4 M4 H Maximally Selected Two-sample Gray Statistics with Competing Risks Data + E# \, S* J1 |0 L2 n2 |: t7 z(Speaker: Jinheum Kim (University of Suwon), Sook-young Woo(Samsung Advanced Institute of Technology), Seonwoo Kim(Samsung Advanced Institute of Technology)); M1 k; ^+ m% p
Singapore Session title: Likelihood based inference for complex models 9 l H% W- H, l$ u) { A multiple imputation method for longitudinal data with covariate measurement error under generalized partially linear mixed models $ z7 I$ J7 F# s& f8 N(Speaker: Xiang Liming(Nanyang Technological University)) / |$ B! a* _! t4 J7 z x Bayesian Empirical Likelihood" w5 m) H6 k) {! { ~
(Speaker: Sanjay Chaudhuri(National University of Singapore, Singapore))! V7 z$ V) K/ X
Consistent Cross-Validation for Tuning Parameter Selection in High-Dimensional Variable Selection" z# U' i! }" O9 H* N
(Speaker: Yang Feng(Columbia University))- l' `' m4 b% e; e
A sign based loss approach to model selection in nonparametric regression f2 _! b1 G2 E9 e# V9 F& |(Speaker: Li Jialiang (National University of Singapore, Singapore)) # l* B6 K& s1 s# {/ @ k9 sThailand Meta analysis in Clinical Trials: s' r, G" ]! S4 k6 l* s) P# E
Publication Bias and Sensitivity Analysis for Meta-Analysis of Multi-Arm Trials e( X u" c6 o v r8 X& {& ~
(Speaker: Dr. Hathaikan Chootrakool (Suan Dusit Rajabhat University)) 6 L% V2 v. U. W Some New Tests for Homogeneity of Relative Risks in Meta-Analysis ( p1 Z8 e" A: b# }. j. h) C(Speaker: Assoc. Prof. Dr. Chtwongkasemukiat Viwatwongkasem (Mahidol University)) . U6 U$ I* f6 c9 \ Application of Network Meta-analysis in Randomized Controlled Trials' t* w# d* X4 q
(Speaker: Dr. Ammarin Thakkinstian(Ramathibodi Hospital, Mahidol University))% h* h) F4 D( c7 F
5 u( }) o6 D% F; y! _* z5 n! `( V+ s, _6 ]
1 Y: G. s0 X2 K3 B& k3 y* |# m7 |$ W" @1 u H3 u5 E; k# u6 G' O
( O0 h; Y6 K. r% x
' F8 Q- L5 x7 E$ j
3 {* F& T' h/ A+ v+ s# Z' f
# \" z- `$ l7 q9 J- T6 t# _
7 J. Q( c: X1 z7 A$ o9 ~6 f7 [
) e. s, A. ?' J4 U0 t; |; a/ S' ]
/ }0 b5 d1 y& s g' k( D