GetPortalImpactFactorByIdResp(projectId=1, id=3c5a6249, cover=https://img.medsci.cn/images/journal/cover/2021/GRy_202109271316389100.jpg, fullname=STATISTICAL METHODS IN MEDICAL RESEARCH, abbr=STAT METHODS MED RES, pyear=1992, frequence=Bimonthly, articleNumbers=3371, citedSelf2015=6.4, acceptanceRate=null, submissionToAcceptance=null, averageReviewTime=暂无数据, reviewFee=null, pageFee=null, publishedRatio=2023年中国人文章占该期刊总数量暂无数据 (2022年为100.00%), issn=0962-2802, greenSci=https://www.greensci.net/search?kw=0962-2802, scijournal=https://www.scijournal.org/impact-factor-of-STAT-METHODS-MED-RES.shtml, medsciHotlightString=null, medsciHotlightRealtime=1.884, medsciHotlight=1.933, medsciHotlight5year=2.72868, citescore=4.4, hIndex=85, impactFactor=2.3, orgnization=SAGE Publications Ltd, orgnizationUrl=http://www.sagepub.co.uk, country=United States, countryCn=美国, isOa=0, isOaString=否, sciScie=Science Citation Index|Science Citation Index Expanded|Current Contents - Clinical Medicine, bigclassCas=医学 3区[Top], smallclassCas=医学 4 区, website=http://smm.sagepub.com/, websiteHits=4574, guideForAuthor=null, guideForAuthorHits=2, submitWebsite=https://us.sagepub.com/en-us/nam/journal/statistical-methods-medical-research#submission-guidelines, submitWebsiteHits=1208, content=Statistical Methods in Medical Research is the leading vehicle for review articles in all the main areas of medical statistics and is an essential reference for all medical statisticians. It is particularly useful for medical researchers dealing with data and provides a key resource for medical and statistical libraries, as well as pharmaceutical companies. This unique journal is devoted solely to statistics and medicine and aims to keep professionals abreast of the many powerful statistical techniques now available to the medical profession. As techniques are constantly adopted by statisticians working both inside and outside the medical environment, this review journal aims to satisfy the increasing demand for accurate and up-to-the-minute information., totalCites=7754, brief=STAT METHODS MED RES杂志医学行业，“<strong><a target="_blank" href="/sci/index.do?smallclass=统计学与概率论" >统计学与概率论</a></strong>”子行业的优秀级杂志, articleType=该刊全部是论著，可能不接收综述类等文章, medsciHeat=黑红, medsciComment=STAT METHODS MED RES在该细分领域可能是一流杂志，可能是创刊时间短或不是热门学科，整体来说，国内学者关注度仍然不够。对于投稿而言，建议多向"&abbr&"投稿，当然期刊也应该加强品牌宣传。, medsciExplanation=MedSci期刊指数是根据中国科研工作者（含医学临床，基础，生物，化学等学科）对SCI杂志的认知度，熟悉程度，以及投稿的量等众多指标综合评定而成。当然，具体的，您还可以结合“<a href='https://www.medsci.cn/sci/submit.do?id=3c5a6249'>投稿经验系统</a>”，进行综合判断，这更是大家的实战经验，值得分享和参考。<br> 注意，上述MedSci期刊指数采用MedSci专利技术，由计算机系统自动计算，并给出建议，存在不准确的可能，仅供您投稿选择杂志时参考。, tags=null, citeScoreList=[GetImpactFactorCiteScoreListResponse(year=2016, citescore=2.64), GetImpactFactorCiteScoreListResponse(year=2017, citescore=1.68), GetImpactFactorCiteScoreListResponse(year=2018, citescore=2.4), GetImpactFactorCiteScoreListResponse(year=2019, citescore=3.9), GetImpactFactorCiteScoreListResponse(year=2020, citescore=4.4)], medsciIndexList=[GetImpactFactorMedsciIndexListResponse(year=2020, medsciHotlight=2.79), GetImpactFactorMedsciIndexListResponse(year=2021, medsciHotlight=2.0), GetImpactFactorMedsciIndexListResponse(year=2022, medsciHotlight=1.999), GetImpactFactorMedsciIndexListResponse(year=2023, medsciHotlight=1.896), GetImpactFactorMedsciIndexListResponse(year=2024, medsciHotlight=1.884)], citeScoreGradeList=[GetImpactFactorCiteScoreGradeResponse(smallClass=Mathematics - Statistics and Probability , rank=25/206), GetImpactFactorCiteScoreGradeResponse(smallClass=Health Professions - Health Information Management , rank=10/24), GetImpactFactorCiteScoreGradeResponse(smallClass=Medicine - Epidemiology , rank=45/89)], totalJcrAreaList=[GetImpactFactorCiteScoreGradeResponse(smallClass=HEALTH CARE SCIENCES & SERVICES, rank=Q1), GetImpactFactorCiteScoreGradeResponse(smallClass=MATHEMATICAL & COMPUTATIONAL BIOLOGY, rank=Q1), GetImpactFactorCiteScoreGradeResponse(smallClass=MEDICAL INFORMATICS, rank=Q1), GetImpactFactorCiteScoreGradeResponse(smallClass=STATISTICS & PROBABILITY, rank=Q1)], pmcUrl=https://www.ncbi.nlm.nih.gov/nlmcatalog?term=0962-2802[ISSN], pubmedUrl=https://www.ncbi.nlm.nih.gov/pubmed?cmd=search&term=STATISTICAL METHODS IN MEDICAL RESEARCH[ta], article_number=152, article_number_cn=14, earlyWarning=null, linkOutUrl=null, isJournalMember=false, unscrambleContent=null, dayViewCount=false, endexampletyle=暂无数据)