千亿体育

秦 磊 副教授


研究方向: 數據(ju)挖掘、統(tong)計模型、健(jian)康醫療大(da)數據(ju)

辦(ban)公電話(hua): 010-64491146

辦公地(di)點: 誠信樓(lou)817A

電子郵件: qinlei@yukkuribunbun.com

工作經歷

2014.09 - 2016.12 千(qian)億體育,講師

2016.12 - 至今 千億體育(yu),副教授

2018.11 - 至今 千(qian)億體育,博士生導師(shi)

講授課程

本科: STA403數據挖掘與統(tong)計(ji)計(ji)算;STA207 MATLAB基礎及應用

研究生: 15107007大(da)數據分析方(fang)法15105010大數據挖掘技術

期刊(kan)論文

[1] 謝邦昌, 秦磊(lei). L1L2規(gui)則化趨勢濾波的穩健估計[J]. 商(shang)業經濟與管(guan)理, 2013(8): 84-97.

[2] 秦磊, 馬景義(yi), 謝邦昌(chang). 含(han)有自(zi)適應篩選系數的(de)廣義經驗(yan)模態分解方法[J]. 數理統計與管理, 2013, 32(6): 1002-1012.

[3] 秦磊, 謝邦昌. L1L2規則(ze)化趨(qu)勢濾波(bo)的穩健(jian)集成方法[J]. 統計(ji)研究(jiu), 2013, 30(11): 99-102.

[4] 秦磊, 謝邦昌. Lq規則化趨勢(shi)濾(lv)波[J]. 數量經濟技術(shu)經濟研(yan)究, 2014(5): 151-161.

[5] 陳(chen)曉毅(yi), 秦磊(lei). 基于(yu)經驗模態分解和廣義(yi)可加模型的雙變量頻率結(jie)構(gou)影響研究[J]. 統(tong)計與決策, 2015 (2): 26-29.

[6] 秦磊(lei), 謝邦昌. L1L2分位數(shu)趨勢(shi)濾波及其集成方法[J]. 數(shu)理統計與管(guan)理, 2015, 34(3):442-451.

[7] 秦磊, 謝邦(bang)昌. Logistic回(hui)歸的ArctanLASSO懲罰似然估(gu)計及應用[J]. 數量(liang)經濟(ji)技術經濟研(yan)究, 2015(6): 135-146.

[8] 蘇治(zhi), 秦(qin)磊, 方彤. 含有圖結構約束的稀(xi)疏最小方(fang)差資產組合(he)模型[J]. 中(zhong)國管理科學, 2015, 23(9): 65-70.

[9] 秦磊(lei), 謝邦昌. 谷歌流感趨勢的成功與(yu)失誤[J]. 統計(ji)研(yan)究, 2016, 33(2): 107-110.

[10] 蘇(su)治(zhi), 方彤(tong), 秦(qin)磊. 一種基于規則化方法的最優(you)稀疏指數追蹤模型設計[J]. 數量經(jing)濟(ji)技術經(jing)濟(ji)研究, 2016(4): 145-160.

[11] Qin L, Ma S, Lin J C, Shia B C. Lasso regression based on empirical mode decomposition[J]. Communications in Statistics-Simulation and Computation, 2016, 45(4): 1281-1294. (IF:0.457)

[12] 秦磊, 楊晶, 謝邦昌. 基于(yu)ArctanLASSO的(de)參數估計和變量選取[J]. 中(zhong)國科學: 數學, 2016, 46(6): 853-866.

[13] 秦磊, 熊巍, 田(tian)茂(mao)再. 大(da)數(shu)據下Leverage重要性(xing)抽樣方法(fa)的穩健改進[J]. 統計(ji)研(yan)究, 2016, 33(8): 101-105.

[14] 李揚, 秦磊, 謝邦昌. 水到渠成(cheng)——醫(yi)療大數據[J]. 中國統計, 2017 (6): 10-11.

[15] 李揚, 秦磊, 謝邦昌. 中國人的運動健康(kang)大數(shu)據[J]. 中國統計, 2017 (7): 14-15.

[16] 秦磊, 夏傳信, 施(shi)建軍(jun). 異質性數據下廣(guang)義線性模型的Maximin似然比估(gu)計及應用[J]. 統計研(yan)究, 2018, 35(6): 109-116.

[17] Qin L, Kao Y W, Lin Y L, et al. Recurrent aphthous stomatitis may be a precursor or risk factor for specific cancers: A casecontrol frequencymatched study[J]. Cancer Medicine, 2018, 7(8): 4104-4114. (IF:3.357)

[18] Qin L, Kao Y W, Lin Y L, et al. Combination of recurrent oral aphthae and dry eye syndrome may constitute an independent risk factor for oral cavity cancer in elderly women[J]. Cancer Management and Research, 2018(10): 3273–3281. (IF:2.243)

[19] Qin L, Chen T M, Kao Y W, et al. Predicting 90-Day Mortality in Locoregionally Advanced Head and Neck Squamous Cell Carcinoma after Curative Surgery[J]. Cancers, 2018, 10(10):392. (IF:6.162)

[20] Chang W W, Hsiao P K, Qin L, et al. Treatment outcomes for unresectable intrahepatic cholangiocarcinoma: Nationwide, population-based, cohort study based on propensity score matching with the Mahalanobis metric[J]. Radiotherapy and Oncology. 2018(11): 284-292. (IF:5.252)

[21] Hsiao Y, Qin L, Lin Y. Do Unsolicited Bank Credit Ratings Matter to Bank Leverage Decision? Evidence from Asian Countries[M]. Advances in Pacific Basin Business, Economics and Finance, Emerald Publishing Limited, 2019(7): 231-253.

[22] Yu J M, Hsieh M C, Qin L, et al. Metformin reduces radiation-induced cardiac toxicity risk in patients having breast cancer[J]. American Journal of Cancer Research. 2019, 9(5): 1017-1026. (IF:5.177)

[23] 秦磊, 郁(yu)靜, 孫(sun)強. 混頻時間序列的潛在因子分析及其應用[J]. 統計(ji)研究, 2019, 36(9): 104-114.

[24] Xia C X, Kao Y W, Qin L, et al. Cancer risk in chronic rhinosinusitis: a propensity score matched case-control cohort study[J]. American Journal of Translational Research, 2019, 11(11): 7146-7156. (IF:3.375)

[25] Shia B C, Qin L (Joint first authors), Lin K C, et al. Age comorbidity scores as risk factors for 90-day mortality in patients with a pancreatic head adenocarcinoma receiving a pancreaticoduodenectomy: A National Population-Based Study[J]. Cancer Medicine, 2020, 9: 562-574. (IF: 3.491)

[26] Shia B C, Qin L (Joint first authors), Lin K C, et al. Outcomes for Elderly Patients Aged 70 to 80 Years or Older with Locally Advanced Oral Cavity Squamous Cell Carcinoma: A Propensity Score–Matched, Nationwide, Oldest Old Patient–Based Cohort Study[J]. Cancers, 2020, 12: 258. (IF: 6.126)

[27] Qin L, Sun Q, Wang Y, et al. Prediction of Number of Cases of 2019 Novel Coronavirus (COVID-19) Using Social Media Search Index[J]. International Journal of Environmental Research and Public Health, 2020, 17(7): 2365. (SCISSCIIF:2.849) (ESI1%高被引論(lun)文(wen))

[28] 秦磊, 王奕丹, 蘇治. 大規模數據下基于充(chong)分降維的(de)Leverage重要性抽樣方法[J]. 統計研究, 2020, 37(3): 114-128

[29] Zhang J, Yen Y C, Qin L, et al. Outcomes of Adjuvant Oral versus Intravenous Fluoropyrimidines for High-Risk Stage II or Stage III Colon Adenocarcinoma: A Propensity Score–Matched, Nationwide, Population-Based Cohort Study[J]. Journal of Cancer, 2020, 11(14): 4157-4165. (IF: 3.565)

[30] Zhang J, Qin L, Chen H M, et al. Overall survival, locoregional recurrence, and distant metastasis of definitive concurrent chemoradiotherapy for cervical squamous cell carcinoma and adenocarcinoma: before and after propensity score matching analysis of a cohort study[J]. American Journal of Cancer Research, 2020, 10(6): 1808-1820. (IF:5.177)

[31] Zhang J, Qin L, Chen H M, et al. Outcome patterns of cervical adenocarcinoma and squamous cell carcinoma following curative surgery: before and after propensity score matching analysis of a cohort study[J]. American Journal of Cancer Research, 2020, 10(6): 1793-1807. (IF:5.177)

[32] Zhang J Q, Lu C Y, Qin L, et al. Outcome of post-mastectomy radiotherapy after primary systemic treatment in patients with different clinical tumor and nodal stages of breast cancer: a cohort study[J]. American Journal of Cancer Research, 2020, 10(7): 2185-2198. (IF:5.177)

[33] Liu W C, Liu H E, Kao Y W, Qin L, et al. Definitive radiotherapy or surgery for early oral squamous cell carcinoma in old and very old patients: A propensity-score-matched, nationwide, population-based cohort study[J]. Radiotherapy and Oncology, 2020, 151: 214-221. (IF:4.856)

[34] Zhang J, Lu C Y, Qin L, et al. Breast-conserving surgery with or without irradiation in women with invasive ductal carcinoma of the breast receiving preoperative systemic therapy: A cohort study[J]. The Breast, 2020, 54: 139-147. (IF:3.754)

[35] Qin L, Wang Y, Sun Q, et al. Analysis of the COVID-19 Epidemic Transmission Network in Mainland China: K-Core Decomposition Study[J]. JMIR Public Health and Surveillance, 2020, 6(4): e24291.

[36] Liu WC, Liu HE, Kao YW, Qin L, et al. Definitive intensitymodulated radiotherapy or surgery for early oral cavity squamous cell carcinoma: Propensityscorematched, nationwide, populationbased cohort study[J]. Head & Neck, 2020.

[37] Zeng Y L, Qin L, Wei W J, et al. Meta-omics characteristics of intestinal microbiota associated to HBeAg seroconversion induced by oral antiviral therapy[J]. Scientific reports, 2021, 11(1): 1-12.

出版譯(yi)著

[1] Bernard Marr. 智(zhi)能大數據(ju)SMART準則:數據分(fen)析方法、案例和(he)行(xing)動綱領[M]. 秦磊(lei), 曹正鳳譯(yi). 電(dian)子工業(ye)出版(ban)社, 2015.

[2] Omer Artun, Dominique Levin. 大(da)數據時代營(ying)銷人(ren)的(de)變(bian)革(ge): 預測營(ying)銷[M]. 曹正鳳, 秦磊, 謝邦昌(chang), 王淑(shu)燕譯. 電子工業出版社(she), 2016.

主(zhu)持項(xiang)目

[1] 大規(gui)模成分數據的(de)分類(lei)算法及(ji)其應用(yong)研究,北京(jing)市自然科學基(ji)金青年項(xiang)目

[2] 基于廣義SICA懲罰函(han)數的(de)高維(wei)數據參數估計與變量選取研究,國家自然科學(xue)基金青年項目

[3] 異質性大數據下廣義(yi)線性模型的MAXIMIN似然估計及其應用,全國統計科(ke)學(xue)研(yan)究重點項目

[4] 大數據(ju)下的統計方法創新研究及其應用,千億體育惠園優(you)秀(xiu)青年學者(zhe)項(xiang)目

[5] 健康大數據的統計(ji)創新研究(jiu),千億體育青年學術(shu)創新團隊建設項目

[6] 大(da)數據(ju)下重(zhong)大(da)傳染(ran)病(bing)的監測和(he)預警(jing)研(yan)究,千億體育新冠(guan)肺炎(yan)疫(yi)情(qing)研究專項

[7] 重大傳染(ran)病下稀缺(que)物資(zi)的分配(pei)策略(lve)研(yan)究,千億(yi)體育惠園杰出(chu)青年學者項目

獲得榮譽

2016千億體育惠園優秀青年學者

2019年(nian)千(qian)億體(ti)育科研標兵二等獎

2020年千億(yi)體育(yu)優秀碩士論文指導(dao)教師

2021千億體育惠(hui)園杰出青年學者

千亿体育