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1 ples are classically within the realm of the epidemiologist.
2 rence but is often overlooked in practice by epidemiologists.
3 rol data are methods that are widely used by epidemiologists.
4 ncertainty, should be more widely adopted by epidemiologists.
5 bidity data is a long-standing challenge for epidemiologists.
6 overing potential research opportunities for epidemiologists.
7 research results entices many newly trained epidemiologists.
8 al care system has not been well utilized by epidemiologists.
9 om a specialized hospital is a challenge for epidemiologists.
10 educational needs of students and practicing epidemiologists.
11 crobiologists, clinicians, and public health epidemiologists.
12 in the training of future infectious disease epidemiologists.
13 ion and the Council of State and Territorial Epidemiologists: (1) an independent data protection comm
14 ng involving surgeons, biostatisticians, and epidemiologists, 30 variables of preoperative informatio
18 ng June to August 2001, they surveyed senior epidemiologists across the United States (n = 248) in fo
19 d effects from cohort effects, demographers, epidemiologists, actuaries, and other population scienti
20 300 residents in less than a month, and has epidemiologists all over the world puzzled about the mod
21 e actual nature of the science undertaken by epidemiologists along the continuum of discovery to appl
23 ncreasing interchange of information between epidemiologists and clinicians specializing in certain f
25 nced allergists, paediatricians, dieticians, epidemiologists and data managers developed generic case
26 ates how the theoretical corpus developed by epidemiologists and evolutionists may apply to plant pat
27 training and career planning among aspiring epidemiologists and for educational policy development a
30 , they also provide an important reminder to epidemiologists and medical professionals that discrimin
31 advisors seemingly established this panel of epidemiologists and nonepidemiologists primarily to find
33 A(H7N9) incubation periods is of interest to epidemiologists and public health officials, but estimat
34 blic-use BRFSS data files are widely used by epidemiologists and public health researchers to describ
35 es many of the models used by ecologists and epidemiologists and should facilitate the integration of
38 ch input was provided by biostatisticians or epidemiologists and, if deemed significant, was typicall
39 takeholders (oncologists, cancer registrars, epidemiologists) and used a modified Delphi approach to
40 aborations between laboratory scientists and epidemiologists, and because these studies are now condu
41 cists, multispecialty oncologists, molecular epidemiologists, and behavioral scientists to eliminate
42 tween proteomics experts, basic researchers, epidemiologists, and clinicians, an orchestrated assimil
46 mong clinicians, pathologists, radiologists, epidemiologists, and investigators with expertise in ast
47 Increased collaboration between clinicians, epidemiologists, and laboratory toxinologists should enh
48 aborations among trauma research biologists, epidemiologists, and nosologists to map the corresponden
49 tations are issues that social demographers, epidemiologists, and other population scientists have ta
52 Because public health decisions are urgent, epidemiologists are frequently called upon to estimate a
57 conomic position is conceptualized by social epidemiologists as a multidimensional construct, most re
58 9, Alexander Langmuir became the first chief epidemiologist at the Communicable Disease Center (CDC)
59 s initially trained as an infectious disease epidemiologist at the Johns Hopkins School of Hygiene an
60 cation committee of at least three physician epidemiologists, based on the death certificate and addi
61 ultiplicative model, to the point where many epidemiologists believe that departure from additivity o
65 egy of doubt creation and the recruitment of epidemiologists by the tobacco industry to serve its mis
66 formation of distinct capacities that social epidemiologists can claim and use to elaborate or fill i
68 As a result of the Human Genome Project, epidemiologists can study thousands of genes and their i
71 provide insight into these assumptions that epidemiologists can use when selecting a modeling approa
72 research trends in the field in which social epidemiologists can, and should, lead in coming years.
73 se results provide important information for epidemiologists, clinicians, and public health practitio
75 omprehensive national network of educational epidemiologists could enhance collaboration and the deve
79 gh frequent meetings between virologists and epidemiologists, effective communication of program prio
80 t panel of scientists, including physicians, epidemiologists, exercise scientists, and public health
81 of the present commentary is to suggest that epidemiologists explore the use of anti-Mullerian hormon
82 t, statistical methods, and methodology that epidemiologists face in addressing chemical mixtures.
86 s of two simulation studies designed to help epidemiologists gain insight into the variable selection
87 view is central to the process through which epidemiologists generate evidence to inform public healt
88 have made it a favorite tool of biochemists, epidemiologists, geneticists, and molecular biologists a
95 ologists call these heterologous effects and epidemiologists have called them nonspecific effects, in
96 60 years, revolutionary discoveries made by epidemiologists have contributed to marked declines in c
98 l impact on women's reproductive health, but epidemiologists have focused relatively little energy on
99 ident from all sessions was the passion that epidemiologists have for population health, tempered wit
102 e with presenting some of the many ways that epidemiologists have improved the health of the general
107 ) is an important determinant of health, and epidemiologists have used various methods, such as physi
109 this article summarizes the presentations of epidemiologists, health care planners, and ophthalmologi
110 k factor for coronary heart disease (CHD) by epidemiologists, health professionals, and the public, a
113 m a would-be virologist to an arbovirologist-epidemiologist, identifying scores of newly recognized v
114 f these algorithm-based assignments, a nurse epidemiologist in approximately 60% of the cases perform
115 Set and the Council of State and Territorial Epidemiologists in collaboration with the Centers for Di
117 uthors discuss some of the challenges facing epidemiologists in the analysis and interpretation of Me
118 of vaccination, a back-story that could aid epidemiologists in understanding contemporary transmissi
119 th care system that should be of interest to epidemiologists, including centralized databases that ca
120 of indirect effects is an important tool for epidemiologists interested in exploring the mechanisms o
121 (PD) has been predominantly the province of epidemiologists interested in pursuing the connection be
122 Assessment of indirect effects is useful for epidemiologists interested in understanding the mechanis
126 hilling et al. addresses a crucial issue for epidemiologists: limited peer access to questionnaires.
127 authors describe possible tradeoffs that an epidemiologist may encounter when attempting to make inf
129 tables, as well as detail some ways in which epidemiologists may examine their data for nonpositivity
131 Genetic polymorphisms may appear to the epidemiologist most commonly as different levels of susc
137 more popular but also more useful, we social epidemiologists need to first address our disciplinary p
141 this problem of risk clustering is one that epidemiologists often encounter as we try to locate the
146 s that were structured to focus on how early epidemiologists overcame research hurdles and advanced h
147 rs, gynecologists, public health physicians, epidemiologists, patient advocates, and attorneys partic
151 academic and clinical cancer expertise-from epidemiologists, psychologists, policy makers, and cance
152 peration of embryologists, experimentalists, epidemiologists, public health scientists, and policymak
156 ood is widely used in epidemiology, yet many epidemiologists receive little or no education in the co
160 ighlight complexities of MSMs and key issues epidemiologists should recognize before and while undert
161 Despite their great promise as a tool for epidemiologists, social media-based recruitment approach
163 (CDC) sent a letter to state and territorial epidemiologists, state and territorial public health lab
164 a social worker, nurse coordinator, surgeon, epidemiologist, statistician, CF adult, and a parent.
165 ognostic research.A working group comprising epidemiologists, statisticians, and clinicians developed
166 tatement was developed by a working group of epidemiologists, statisticians, bioinformaticians, virol
167 mportance not only to clinicians but also to epidemiologists, statisticians, healthcare planners and
168 basic scientists, clinical researchers, and epidemiologists studying genital Chlamydia trachomatis i
170 ally disparate lists) most data sets used by epidemiologists tend to have a net positive dependence;
171 arge number of outstanding senior and junior epidemiologists that attended the meeting, choosing spea
173 the need to modernize the training of cancer epidemiologists to accommodate rapidly emerging technolo
174 to come from bat reservoirs that has caused epidemiologists to ask 'Are bats special reservoirs for
175 ose with some thoughts about training future epidemiologists to best take advantage of the new opport
176 in the field of causal inference has enabled epidemiologists to clarify several complications that ar
178 rkable media attention, the time is ripe for epidemiologists to contribute their expertise to and tra
180 ility of molecular subtyping results enabled epidemiologists to separate outbreak cases from temporal
182 more closely align itself with the needs of epidemiologists, toxicologists and exposome scientists,
185 Data visualization is an important tool that epidemiologists use to communicate with others in the fi
187 nd the diverse background of today's genetic epidemiologists, we provide introductory sections to equ
188 and learned concepts of bias while classical epidemiologists were trained in systems thinking and beg
189 s of discussion among a group of nutritional epidemiologists who met in Washington, DC, for 2 d in Oc
191 aboration between air pollution and dementia epidemiologists will be critical for refining the availa
193 esearch efforts by laboratory scientists and epidemiologists will provide further enlightenment and c
194 primary and secondary infection provide the epidemiologist with some simple rules to predict the tra
195 levels of data have the potential to provide epidemiologists with a deeper understanding of the diver
197 technical skills of occupational and social epidemiologists with those of more biologically focused
198 ethods for competing risks should be used by epidemiologists, with the choice of method guided by the
199 c scientists, clinicians, data analysts, and epidemiologists work together to understand the heteroge
200 rt was paired with an excellent contemporary epidemiologist working in the area, and both were given
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