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Items: 1 to 20 of 189

1.

Structured gene-environment interaction analysis.

Wu M, Zhang Q, Ma S.

Biometrics. 2019 Aug 19. doi: 10.1111/biom.13139. [Epub ahead of print]

PMID:
31424088
2.

Integrative Analysis of Cancer Omics Data for Prognosis Modeling.

Wang S, Wu M, Ma S.

Genes (Basel). 2019 Aug 9;10(8). pii: E604. doi: 10.3390/genes10080604.

3.

Robust semiparametric gene-environment interaction analysis using sparse boosting.

Wu M, Ma S.

Stat Med. 2019 Oct 15;38(23):4625-4641. doi: 10.1002/sim.8322. Epub 2019 Jul 29.

PMID:
31359454
4.

An integrative sparse boosting analysis of cancer genomic commonality and difference.

Sun Y, Sun Z, Jiang Y, Li Y, Ma S.

Stat Methods Med Res. 2019 Jul 7:962280219859026. doi: 10.1177/0962280219859026. [Epub ahead of print]

PMID:
31282286
5.

Medical expenditure for middle-aged and elderly in Beijing.

Ma C, Jiang Y, Li Y, Zhang Y, Wang X, Ma S, Wang Y.

BMC Health Serv Res. 2019 Jun 7;19(1):360. doi: 10.1186/s12913-019-4190-2.

6.

INFERENCE FOR LOW-DIMENSIONAL COVARIATES IN A HIGH-DIMENSIONAL ACCELERATED FAILURE TIME MODEL.

Chai H, Zhang Q, Huang J, Ma S.

Stat Sin. 2019 Apr;29(2):877-894. doi: 10.5705/ss.202016.0449.

PMID:
31073263
7.

Histopathological Imaging⁻Environment Interactions in Cancer Modeling.

Xu Y, Zhong T, Wu M, Ma S.

Cancers (Basel). 2019 Apr 24;11(4). pii: E579. doi: 10.3390/cancers11040579.

8.

Penalized integrative semiparametric interaction analysis for multiple genetic datasets.

Li Y, Li R, Lin C, Qin Y, Ma S.

Stat Med. 2019 Jul 30;38(17):3221-3242. doi: 10.1002/sim.8172. Epub 2019 Apr 16.

PMID:
30993736
9.

Robust network-based analysis of the associations between (epi)genetic measurements.

Wu C, Zhang Q, Jiang Y, Ma S.

J Multivar Anal. 2018 Nov;168:119-130. doi: 10.1016/j.jmva.2018.06.009. Epub 2018 Jul 10.

PMID:
30983643
10.

Examination of Independent Prognostic Power of Gene Expressions and Histopathological Imaging Features in Cancer.

Zhong T, Wu M, Ma S.

Cancers (Basel). 2019 Mar 13;11(3). pii: E361. doi: 10.3390/cancers11030361.

11.

Assisted graphical model for gene expression data analysis.

Fan X, Fang K, Ma S, Wang S, Zhang Q.

Stat Med. 2019 Jun 15;38(13):2364-2380. doi: 10.1002/sim.8112. Epub 2019 Mar 10.

PMID:
30854706
12.

Robust network-based regularization and variable selection for high-dimensional genomic data in cancer prognosis.

Ren J, Du Y, Li S, Ma S, Jiang Y, Wu C.

Genet Epidemiol. 2019 Apr;43(3):276-291. doi: 10.1002/gepi.22194. Epub 2019 Feb 11.

PMID:
30746793
13.

Robust gene-environment interaction analysis using penalized trimmed regression.

Xu Y, Wu M, Ma S, Ahmed SE.

J Stat Comput Simul. 2018;88(18):3502-3528. doi: 10.1080/00949655.2018.1523411. Epub 2018 Sep 19.

PMID:
30718937
14.

A Selective Review of Multi-Level Omics Data Integration Using Variable Selection.

Wu C, Zhou F, Ren J, Li X, Jiang Y, Ma S.

High Throughput. 2019 Jan 18;8(1). pii: E4. doi: 10.3390/ht8010004. Review.

15.

Identifying gene-environment interactions incorporating prior information.

Wang X, Xu Y, Ma S.

Stat Med. 2019 Apr 30;38(9):1620-1633. doi: 10.1002/sim.8064. Epub 2019 Jan 13.

PMID:
30637789
16.

Promoting sign consistency in the cure model estimation and selection.

Shi X, Ma S, Huang Y.

Stat Methods Med Res. 2019 Jan 2:962280218820356. doi: 10.1177/0962280218820356. [Epub ahead of print]

PMID:
30600776
17.

Cell phone use and risk of thyroid cancer: a population-based case-control study in Connecticut.

Luo J, Deziel NC, Huang H, Chen Y, Ni X, Ma S, Udelsman R, Zhang Y.

Ann Epidemiol. 2019 Jan;29:39-45. doi: 10.1016/j.annepidem.2018.10.004. Epub 2018 Oct 29.

PMID:
30446214
18.

Identification of cancer omics commonality and difference via community fusion.

Sun Y, Jiang Y, Li Y, Ma S.

Stat Med. 2019 Mar 30;38(7):1200-1212. doi: 10.1002/sim.8027. Epub 2018 Nov 12.

PMID:
30421444
19.

A Forward and Backward Stagewise Algorithm for Nonconvex Loss Functions with Adaptive Lasso.

Shi X, Huang Y, Huang J, Ma S.

Comput Stat Data Anal. 2018 Aug;124:235-251. doi: 10.1016/j.csda.2018.03.006. Epub 2018 Mar 28.

20.

Overlapping clustering of gene expression data using penalized weighted normalized cut.

Teran Hidalgo SJ, Zhu T, Wu M, Ma S.

Genet Epidemiol. 2018 Dec;42(8):796-811. doi: 10.1002/gepi.22164. Epub 2018 Oct 9.

PMID:
30302823

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