ライフサイエンスコーパス: epidemiologist

1 ples are classically within the realm of the epidemiologist.

2 ng, especially for the first-level doctorate epidemiologist.

3 crobiologists, clinicians, and public health epidemiologists.

4 in the training of future infectious disease epidemiologists.

5 rence but is often overlooked in practice by epidemiologists.

6 rol data are methods that are widely used by epidemiologists.

7 ncertainty, should be more widely adopted by epidemiologists.

8 bidity data is a long-standing challenge for epidemiologists.

9 rces and opportunities are distributed among epidemiologists.

10 overing potential research opportunities for epidemiologists.

11 research results entices many newly trained epidemiologists.

12 al care system has not been well utilized by epidemiologists.

13 om a specialized hospital is a challenge for epidemiologists.

14 educational needs of students and practicing epidemiologists.

15 facilitate training of future generations of epidemiologists.

16 e various perspectives of a diverse group of epidemiologists.

17 ulations is useful but out-of-reach for many epidemiologists.

18 he current evidence of special pertinence to epidemiologists.

19 eld, and how we train the next generation of epidemiologists.

20 ion and the Council of State and Territorial Epidemiologists: (1) an independent data protection comm

21 ng involving surgeons, biostatisticians, and epidemiologists, 30 variables of preoperative informatio

22 %), and health services researchers/clinical epidemiologists (9.0%).

23 To survey epidemiologists about their experiences with the HIPAA P

24 Most epidemiologists accept the hypothesis that characteristi

25 ng June to August 2001, they surveyed senior epidemiologists across the United States (n = 248) in fo

26 d effects from cohort effects, demographers, epidemiologists, actuaries, and other population scienti

27 300 residents in less than a month, and has epidemiologists all over the world puzzled about the mod

28 e actual nature of the science undertaken by epidemiologists along the continuum of discovery to appl

29 ages deep, integrated collaborations between epidemiologists and climate scientists to understand the

30 The goal of this primer is to equip epidemiologists and clinical researchers with sound prin

31 ncreasing interchange of information between epidemiologists and clinicians specializing in certain f

32 development times that have been observed by epidemiologists and clinicians.

33 nced allergists, paediatricians, dieticians, epidemiologists and data managers developed generic case

34 Over this period, the global community of epidemiologists and evolutionary biologists has also com

35 ates how the theoretical corpus developed by epidemiologists and evolutionists may apply to plant pat

36 training and career planning among aspiring epidemiologists and for educational policy development a

37 Skeptics among both epidemiologists and geneticists have argued that genomic

38 A critical aim of infectious disease epidemiologists and global health researchers is to eval

39 Increasing collaboration between epidemiologists and implementation scientists is importa

40 The need for cross-training of epidemiologists and laboratory scientists is discussed,

41 , they also provide an important reminder to epidemiologists and medical professionals that discrimin

42 advisors seemingly established this panel of epidemiologists and nonepidemiologists primarily to find

43 vidence (ie, evidence about evidence) allows epidemiologists and other health data scientists to acco

44 d data, use of multidimensional models) that epidemiologists and other health researchers may conside

45 working group consisting of rheumatologists, epidemiologists and patient representatives from countri

46 information to characterize diversity among epidemiologists and perceptions of inclusion in the epid

47 ur results are highly relevant to healthcare epidemiologists and policy makers when assessing the imp

48 to engage and educate the next generation of epidemiologists and prepare them to tackle these issues

49 rtality has raised a significant concern for epidemiologists and providers.

50 human behaviour with the recommendations of epidemiologists and public health experts.

51 A(H7N9) incubation periods is of interest to epidemiologists and public health officials, but estimat

52 blic-use BRFSS data files are widely used by epidemiologists and public health researchers to describ

53 rovided a wealth of knowledge to clinicians, epidemiologists and public health responders during outb

54 es many of the models used by ecologists and epidemiologists and should facilitate the integration of

55 Epidemiologists and toxicologists face similar problems

56 a delay of 1 to 2 weeks, and thus influenza epidemiologists and transmission modelers have explored

57 Council of State and Territorial Epidemiologists and US Centers for Disease Control and P

58 As epidemiologists and vaccinologists set their sights on t

59 ch input was provided by biostatisticians or epidemiologists and, if deemed significant, was typicall

60 takeholders (oncologists, cancer registrars, epidemiologists) and used a modified Delphi approach to

61 aborations between laboratory scientists and epidemiologists, and because these studies are now condu

62 cists, multispecialty oncologists, molecular epidemiologists, and behavioral scientists to eliminate

63 tween proteomics experts, basic researchers, epidemiologists, and clinicians, an orchestrated assimil

64 s and our greatest challenges as scientists, epidemiologists, and clinicians.

65 ed by population biologists, mathematicians, epidemiologists, and experts in human health.

66 e effort among basic scientists, clinicians, epidemiologists, and industry.

67 mong clinicians, pathologists, radiologists, epidemiologists, and investigators with expertise in ast

68 Increased collaboration between clinicians, epidemiologists, and laboratory toxinologists should enh

69 aborations among trauma research biologists, epidemiologists, and nosologists to map the corresponden

70 tations are issues that social demographers, epidemiologists, and other population scientists have ta

71 sts to clinicians, clinical microbiologists, epidemiologists, and researchers.

72 ew and substantial insights for virologists, epidemiologists, and the general public health sector.

73 acists) and nonclinicians (biostatisticians, epidemiologists, and trial methodologists) was convened.

74 Epidemiologists answer myriad questions that are not cau

75 Epidemiologists are attempting to address research quest

76 Epidemiologists are encouraged to consider use of these

77 Because public health decisions are urgent, epidemiologists are frequently called upon to estimate a

78 Epidemiologists are increasingly asking questions about

79 Epidemiologists are increasingly looking to large-scale

80 Epidemiologists are increasingly using natural effects f

81 Social epidemiologists are interested in determining the causal

82 In the midst of an epidemic of obesity, epidemiologists are seeking to establish the relationshi

83 conomic position is conceptualized by social epidemiologists as a multidimensional construct, most re

84 This commentary addresses being an epidemiologist at a time when the field of epidemiology

85 entence should have been, "Sandra Geurts, an epidemiologist at Maastricht University Medical Center+

86 Sandra Geurts reads "Sandra Geurts, an epidemiologist at Radbound University in Nijmegen." Radb

87 9, Alexander Langmuir became the first chief epidemiologist at the Communicable Disease Center (CDC)

88 s initially trained as an infectious disease epidemiologist at the Johns Hopkins School of Hygiene an

89 cation committee of at least three physician epidemiologists, based on the death certificate and addi

90 big data" assets, and medical professionals, epidemiologists, basic scientists, and geneticists who p

91 ultiplicative model, to the point where many epidemiologists believe that departure from additivity o

92 Epidemiologists benefit greatly from having case-control

93 Looking back on their findings may help epidemiologists better understand the importance of both

94 It consists of a network of epidemiologists, bioinformaticists, microbiology researc

95 For many epidemiologists, biostatisticians, and other public heal

96 Women comprise about half of senior epidemiologists, but little is known about whether they

97 egy of doubt creation and the recruitment of epidemiologists by the tobacco industry to serve its mis

98 al is to emphasize the unique strengths that epidemiologists can bring to investigating and interveni

99 formation of distinct capacities that social epidemiologists can claim and use to elaborate or fill i

100 Epidemiologists can make a major contribution to this em

101 As a result of the Human Genome Project, epidemiologists can study thousands of genes and their i

102 By looking ahead, epidemiologists can take advantage of upcoming regulator

103 Epidemiologists can use recurrence patterns of preterm d

104 provide insight into these assumptions that epidemiologists can use when selecting a modeling approa

105 research trends in the field in which social epidemiologists can, and should, lead in coming years.

106 omic approaches for chemists, toxicologists, epidemiologists, care providers, and stakeholders in hea

107 ng the 2012 Council of State and Territorial Epidemiologists case definition.

108 se results provide important information for epidemiologists, clinicians, and public health practitio

109 Epidemiologists commonly use an adjusted hazard ratio or

110 As an alternative, wildlife epidemiologists could adopt a vaccination strategy that

111 omprehensive national network of educational epidemiologists could enhance collaboration and the deve

112 We review whom epidemiologists count to describe the (mis)representatio

113 Finally, we examine which epidemiologists count within the field and argue that in

114 We present interpretations of the idea that "epidemiologists count" in response to the current status

115 We argue that what epidemiologists count-how diversity and inclusion are op

116 n 2020, the Council of State and Territorial Epidemiologists (CSTE) pertussis case definition was mod

117 ned by the Council for State and Territorial Epidemiologists (CSTE).

118 For hospital epidemiologists, determining a system of typing that is

119 During the exercise, dynamical epidemiologists developed empirical skills such as study

120 s review, a team of surgeons, trialists, and epidemiologists discusses the most important challenges

121 l venues, reflecting the many contexts where epidemiologists do their work, the nature of the problem

122 gh frequent meetings between virologists and epidemiologists, effective communication of program prio

123 Beyond generating and analyzing data, epidemiologists engage in guiding action through the evi

124 vulnerable to biases that are well-known to epidemiologists, especially selection bias, information

125 t panel of scientists, including physicians, epidemiologists, exercise scientists, and public health

126 of the present commentary is to suggest that epidemiologists explore the use of anti-Mullerian hormon

127 t, statistical methods, and methodology that epidemiologists face in addressing chemical mixtures.

128 due to numerous assumptions and trade-offs, epidemiologists face practical difficulties in recognizi

129 g flexibility and ease of implementation for epidemiologists familiar with missing data methods.

130 Epidemiologists first analyzed wastewater to track outbr

131 It was developed in response to requests by epidemiologists for portable real time assessment of the

132 To prepare epidemiologists for the future, public health training c

133 Genetic epidemiologists, for example, now collaborate extensivel

134 From 1982 to 2003, epidemiologists from the Children's Oncology Group condu

135 s of two simulation studies designed to help epidemiologists gain insight into the variable selection

136 view is central to the process through which epidemiologists generate evidence to inform public healt

137 have made it a favorite tool of biochemists, epidemiologists, geneticists, and molecular biologists a

138 The closer epidemiologists get to advanced stages of translation, t

139 By the early 1980s, epidemiologists had identified many important causes of

140 Cancer epidemiologists have a long history of combining data se

141 Epidemiologists have access to various methods to reduce

142 Epidemiologists have advocated for reporting confidence

143 Since the mid-1990s, epidemiologists have anecdotally reported difficulty in

144 Epidemiologists have argued for a single logically consi

145 Ecologists and epidemiologists have begun focusing on demographic stoch

146 ologists call these heterologous effects and epidemiologists have called them nonspecific effects, in

147 60 years, revolutionary discoveries made by epidemiologists have contributed to marked declines in c

148 Health geographers and spatial epidemiologists have developed numerous geospatial analy

149 In recent years, epidemiologists have established major variations in the

150 l impact on women's reproductive health, but epidemiologists have focused relatively little energy on

151 ident from all sessions was the passion that epidemiologists have for population health, tempered wit

152 In recent years, epidemiologists have given increased attention to cognit

153 Epidemiologists have grouped the multiple disorders that

154 e with presenting some of the many ways that epidemiologists have improved the health of the general

155 Epidemiologists have long argued that side effects of th

156 For decades, epidemiologists have observed that, among lower birth we

157 However, epidemiologists have paid less attention to the measurem

158 Epidemiologists have proposed virus-chemical interaction

159 In contrast, cardiologists and epidemiologists have reported strong associations betwee

160 For almost a century, epidemiologists have stratified age-specific disease rat

161 Epidemiologists have the potential to contribute a great

162 In cancer, epidemiologists have traditionally sought to incriminate

163 ) is an important determinant of health, and epidemiologists have used various methods, such as physi

164 Epidemiologists have utilized several health care system

165 this article summarizes the presentations of epidemiologists, health care planners, and ophthalmologi

166 k factor for coronary heart disease (CHD) by epidemiologists, health professionals, and the public, a

167 However, it is not clear to many epidemiologists how these two methods relate to one anot

168 This poses a challenge to epidemiologists: how quickly can the parameters of an em

169 Epidemiologists, however, are limited by inadequate esti

170 m a would-be virologist to an arbovirologist-epidemiologist, identifying scores of newly recognized v

171 Egwuagu is an epidemiologist/immunologist and chief of the Molecular I

172 f these algorithm-based assignments, a nurse epidemiologist in approximately 60% of the cases perform

173 Set and the Council of State and Territorial Epidemiologists in collaboration with the Centers for Di

174 It aids epidemiologists in determining the best study design, sa

175 e 'exposome' has recently been introduced by epidemiologists in order to define the totality of expos

176 At the same time, epidemiologists in public health practice continue to fa

177 uthors discuss some of the challenges facing epidemiologists in the analysis and interpretation of Me

178 However, the representation of Mexican epidemiologists in the largest epidemiologic society in

179 of vaccination, a back-story that could aid epidemiologists in understanding contemporary transmissi

180 th care system that should be of interest to epidemiologists, including centralized databases that ca

181 Epidemiologists increasingly use causal inference method

182 of indirect effects is an important tool for epidemiologists interested in exploring the mechanisms o

183 (PD) has been predominantly the province of epidemiologists interested in pursuing the connection be

184 Assessment of indirect effects is useful for epidemiologists interested in understanding the mechanis

185 The profession of epidemiologist is not monolithic; it embraces a broad ra

186 More cross-talk between biologists and epidemiologists is needed to tackle key issues in chroni

187 The factors that people and epidemiologists judge as relevant to establish presence

188 Every epidemiologist knows that unmeasured confounding is a se

189 hilling et al. addresses a crucial issue for epidemiologists: limited peer access to questionnaires.

190 authors describe possible tradeoffs that an epidemiologist may encounter when attempting to make inf

191 On the basis of these findings, epidemiologists may consider the LCPT a useful approach

192 tables, as well as detail some ways in which epidemiologists may examine their data for nonpositivity

193 We provide basic scientists, epidemiologists, medical practitioners and other outbrea

194 Genetic polymorphisms may appear to the epidemiologist most commonly as different levels of susc

195 As epidemiologists move toward increasingly complex questio

196 Clinicians, immunologists, and epidemiologists must collaborate to investigate the path

197 Effective applied epidemiologists must have skills beyond just epidemiolog

198 Epidemiologists need ongoing training on advancements in

199 The authors conclude that epidemiologists need to address declining participation

200 Epidemiologists need to be flexible and responsive to ch

201 Epidemiologists need to be true to their mission and pro

202 ausal inference between religion and health, epidemiologists need to engage with other aspects of the

203 more popular but also more useful, we social epidemiologists need to first address our disciplinary p

204 mid a growing focus on "Big Data," it offers epidemiologists new tools to tackle problems for which c

205 Almost all self-described epidemiologists nowadays work within the health arena, a

206 Recognition among epidemiologists of the adverse health consequences of sl

207 Epidemiologists often assume that mismeasurement of stud

208 Epidemiologists often compare the observed number of dea

209 this problem of risk clustering is one that epidemiologists often encounter as we try to locate the

210 Geneticists and epidemiologists often observe that certain hereditary di

211 Genetic epidemiologists often pursue this aim through the design

212 Social epidemiologists often seek to determine the mechanisms t

213 neration intervals are difficult to observe, epidemiologists often substitute serial intervals, the t

214 23;192(11):1904-1916) presented a primer for epidemiologists on deep learning models.

215 Applied epidemiologists, or field epidemiologists, use science a

216 s that were structured to focus on how early epidemiologists overcame research hurdles and advanced h

217 rs, gynecologists, public health physicians, epidemiologists, patient advocates, and attorneys partic

218 er the 2014 Council of State and Territorial Epidemiologists pertussis case definition.

219 , diabetes educators, registered dietitians, epidemiologists, pharmacists, and public health experts,

220 , diabetes educators, registered dietitians, epidemiologists, pharmacists, and public health experts.

221 Our overall goal is to help epidemiologists, policy-makers, journal editors, journal

222 The epidemiologist primarily studies transitions between sta

223 Epidemiologists proposed a causal role of social-evaluat

224 academic and clinical cancer expertise-from epidemiologists, psychologists, policy makers, and cance

225 peration of embryologists, experimentalists, epidemiologists, public health scientists, and policymak

226 If epidemiologists pursue such instrumental variable analys

227 This tool should help epidemiologists quantify temporal changes in the transmi

228 Two independent epidemiologists rated risk of bias of studies.

229 ood is widely used in epidemiology, yet many epidemiologists receive little or no education in the co

230 For epidemiologists, research support unfortunately is biase

231 Epidemiologists respond to the information needs of heal

232 d epidemiology training occurs throughout an epidemiologist's career, beginning with academic instruc

233 Epidemiologists should consider estimating interventiona

234 ighlight complexities of MSMs and key issues epidemiologists should recognize before and while undert

235 ata represents a critical set of skills that epidemiologists should use to better understand epidemio

236 Despite their great promise as a tool for epidemiologists, social media-based recruitment approach

237 Epidemiologists sometimes collect bivariate continuous d

238 Epidemiologists sometimes use external sources of variat

239 As epidemiologists spark new conversations (e.g., see Kawac

240 Epidemiologists spend a great deal of time on confoundin

241 (CDC) sent a letter to state and territorial epidemiologists, state and territorial public health lab

242 a social worker, nurse coordinator, surgeon, epidemiologist, statistician, CF adult, and a parent.

243 ognostic research.A working group comprising epidemiologists, statisticians, and clinicians developed

244 tatement was developed by a working group of epidemiologists, statisticians, bioinformaticians, virol

245 mportance not only to clinicians but also to epidemiologists, statisticians, healthcare planners and

246 basic scientists, clinical researchers, and epidemiologists studying genital Chlamydia trachomatis i

247 We also recommend that social epidemiologists take advantage of recent revolutionary i

248 ve to ideological diversity, we propose that epidemiologists take up an existing framework for resear

249 ally disparate lists) most data sets used by epidemiologists tend to have a net positive dependence;

250 arge number of outstanding senior and junior epidemiologists that attended the meeting, choosing spea

251 For many chronic disease epidemiologists, the link between dynamical models and p

252 nistration commissioner as "one of the great epidemiologists." The chair of the Harvard nutrition dep

253 This model allows epidemiologists to access PM2.5 exposure in both the sho

254 the need to modernize the training of cancer epidemiologists to accommodate rapidly emerging technolo

255 to come from bat reservoirs that has caused epidemiologists to ask 'Are bats special reservoirs for

256 ose with some thoughts about training future epidemiologists to best take advantage of the new opport

257 in the field of causal inference has enabled epidemiologists to clarify several complications that ar

258 Langmuir recognized the need for epidemiologists to collaborate with others, initially fr

259 rkable media attention, the time is ripe for epidemiologists to contribute their expertise to and tra

260 this article, we use terminology familiar to epidemiologists to describe the field of legal epidemiol

261 Various methods are used by epidemiologists to estimate the energy cost of physical

262 Supporting efforts by epidemiologists to increase their skills as part of thei

263 he two fields that can make it difficult for epidemiologists to read and assess machine learning stud

264 ility of molecular subtyping results enabled epidemiologists to separate outbreak cases from temporal

265 s causal diagrams, that are commonly used by epidemiologists to study population health.

266 Tools are now available that allow epidemiologists to take advantage of this powerful appro

267 However, the ability of epidemiologists to use such information is significantly

268 sts and scientists-including virologists and epidemiologists-to stay in their lanes.

269 more closely align itself with the needs of epidemiologists, toxicologists and exposome scientists,

270 Epidemiologists, toxicologists, and risk assessors from

271 Although many epidemiologists use the National Death Index (NDI) as th

272 e, however, and the standard correction that epidemiologists use to adjust estimates relies on estima

273 Data visualization is an important tool that epidemiologists use to communicate with others in the fi

274 d a new era in the tools and approaches that epidemiologists use to synthesize evidence from measurem

275 Applied epidemiologists, or field epidemiologists, use science as the basis for interventi

276 blic Health Service (PHS) infectious disease epidemiologist, was appointed-amid wide surprise-directo

277 In aspiring to be discerning epidemiologists, we must learn to think critically about

278 nd the diverse background of today's genetic epidemiologists, we provide introductory sections to equ

279 and learned concepts of bias while classical epidemiologists were trained in systems thinking and beg

280 s of discussion among a group of nutritional epidemiologists who met in Washington, DC, for 2 d in Oc

281 A key problem facing epidemiologists who wish to account for residential mobi

282 tinational effort to define competencies for epidemiologists, who are increasingly facing emerging an

283 aboration between air pollution and dementia epidemiologists will be critical for refining the availa

284 Epidemiologists will need to address 2 key aspects.

285 Epidemiologists will note that discussion of the return

286 esearch efforts by laboratory scientists and epidemiologists will provide further enlightenment and c

287 primary and secondary infection provide the epidemiologist with some simple rules to predict the tra

288 levels of data have the potential to provide epidemiologists with a deeper understanding of the diver

289 Even epidemiologists with advanced skills often want training

290 Epidemiologists with interests in medical problems that

291 ta access and management, HMP16SData enables epidemiologists with only basic R skills to quickly anal

292 technical skills of occupational and social epidemiologists with those of more biologically focused

293 ethods for competing risks should be used by epidemiologists, with the choice of method guided by the

294 barriers to higher representation of Mexican epidemiologists within the Society for Epidemiologic Res

295 c scientists, clinicians, data analysts, and epidemiologists work together to understand the heteroge

296 rt was paired with an excellent contemporary epidemiologist working in the area, and both were given

297 ons for teaching epidemiology to ensure that epidemiologists working in academic settings are well pr

298 ve been made to define core competencies for epidemiologists working in academic settings.

299 Clinicians, microbiologists, and epidemiologists worldwide need to be familiar with shift

300 The epidemiologist would then become little more than a coll