ライフサイエンスコーパス: random sample

1 innesota, residents (age- and sex-stratified random sample).

2 ured once annually, and the cohort was not a random sample.

3 um are reasonable approximations of a simple random sample.

4 sepsis in a nationally representative pseudo-random sample.

5 ological measurements obtained from the same random sample.

6 ant results based on confirming only a small random sample.

7 rt from July 2014 through June 2015 into two random samples.

8 active species in these plant groups than in random samples.

9 e using ImageJ to perform systematic uniform random sampling.

10 to 3.5-fold greater than that expected from random sampling.

11 s (VDCs) from each district were selected by random sampling.

12 selected from the district using multi stage random sampling.

13 Eligible samples were selected using cluster random sampling.

14 t low-angle shot sequence is used with quasi-random sampling.

15 which households were selected by stratified random sampling.

16 habitats relative to the null hypothesis of random sampling.

17 be consistently obtained by using localized random sampling.

18 te resampling, different-site resampling and random sampling.

19 g and regulating facilities using stratified random sampling.

20 ation spectroscopic-filtering with iterative random sampling (2D-COS-firs) is reported.

21 d marginally better endothelial integrity in random samples (85% versus 88% versus 93% for closed tun

22 We used stratified random sampling (according to age, residence [urban vs r

23 based on multiple tree models constructed on random samples achieved either through bootstrapping (ra

24 From a random sample achieving an HIV type 1 RNA load of <50 co

25 Population-based, cross-sectional study in a random sample aged 65 years or older from 7 European cou

26 cantly better when they were chosen with the random sampling algorithm.

27 iciently measure this quantity, we develop a random sampling algorithm.

28 importance sampling distribution and using a random sampling algorithm; however, selection of importa

29 With a simple random sample and a binary outcome, a conditional logist

30 sections were sampled by systematic uniform random sampling and stained with Masson trichrome, and t

31 kends), (ii) completely random or stratified random sampling, and (iii) a number of sampling strategi

32 difference covariance matrix with iterative random sampling, and is capable of revealing contaminati

33 We used flux balance analysis, random sampling, and principal component analysis to exp

34 the laying sequence, the selection criteria, random sampling, and the duration and temperature of tra

35 A stratified random sampling approach was used to enhance precision i

36 A random sampling assigned participants into group 1 (with

37 . WebTool, a user-friendly online server for random sampling-based evaluation of distance significanc

38 In this article, we present a random-sampling-based statistical algorithm to identify

39 iments to show that statistically validating random samples can both (i) provide evidence to confirm

40 use of museum records: first without initial random sampling, comparison with contemporary results ca

41 We trained a regression model on a random sample comprising 3% of the total library, and th

42 hod based on a machine learning algorithm: a random sample consensus algorithm.

43 The community-based random sample consists of 2520 adults who were aged 65 t

44 Subsequently, 42 subjects recruited from a random sampling cross-sectional study were analysed.

45 'almost unbiased' theorem similar to that of random-sampling cross-validation.

46 The NIS is a de-identified, random sample dataset of inpatient hospitalizations from

47 ion in 2001, 2006, and 2011, using a 2-stage random sampling design in 2 urban and 3 rural strata.

48 sis of hospital records, we used a two-stage random sampling design to create a nationally representa

49 We used a multistage random sampling design to generate a representative samp

50 ed when samples are collected using a simple random sampling design.

51 Using a multistage, random-sampling design with replacement, the Monitoring

52 Within a two-thirds random sample (Developmental cohort), we developed 2 par

53 ssembly mechanisms may explain this pattern, random sampling effects can create this pattern through

54 ociated with minimal risk using a two-thirds random sample for model derivation (n = 3087) and a one-

55 erpart of UniCon3D that performs traditional random sampling for protein modeling aided by predicted

56 efully developed protocol, reads represent a random sample from a library and may be prone to represe

57 The study included a random sample from an adult population who participated

58 om community sample and enriched by a second random sample from employees of Texas Health Resources.

59 A random sample from one of the cohorts underwent a clinic

60 N = 2,082, age >45 years) was derived from a random sample from Rochester, Minnesota, and each subjec

61 In two random samples from 235 complete data sets, the same eig

62 Throughout, we treat gene sets as random samples from a first-order Markov chain model.

63 In random samples from children with liver (LTx-20) and int

64 Participants were selected using stratified random sampling from general surgery residency programs

65 form a retroviral particle are determined by random sampling from the cell-and thus dictated by the c

66 s using a global sensitivity approach called Random Sampling High Dimensional Model Representation (R

67 This work presents an adapted Random Sampling - High Dimensional Model Representation

68 al sensitivity analysis (SA) method based on Random Sampling-High Dimensional Model Representation (R

69 This was in contrast to the impact of weekly random sampling (i.e., using saliva swabs) of at least 1

70 ations with higher accuracy than traditional random sampling in a small benchmark of 6 proteins; (ii)

71 74 adults who were selected using multistage random sampling in Gondar town, North West, Ethiopia.

72 as developed using two-thirds of the cohort (random sample), internally validated in the remaining on

73 Its superior performance over random sampling is demonstrated on secondary ion mass sp

74 advanced and able to overcome the under- and random-sampling issues of the current sequencing approac

75 While this is true for random sampling, it is not true with separate sampling,

76 A stratified, cluster-random sampling method was used to select students acros

77 e compare the uniformly-random and localized random sampling methods over a large space of sampling p

78 Combining a random sampling model with a terrageny generates numeric

79 PCR on all MDR isolates (n = 191) and a 20% random sample (n = 130) of non-MDR isolates; E-testing c

80 d in a subcohort defined as a sex-stratified random sample (n = 1418).

81 alance and soil pH by extracting a spatially random sample (n = 20,000) from an extensive compilation

82 esolution HLA class I and II genotyping in a random sample (n = 860) of HIV-seropositive women enroll

83 ernally using a bootstrapping technique (200 random samples, n=4248).

84 Among a random sample, number of patients achieving guideline-re

85 A survey was sent by mail and e-mail to a random sample of 1,000 members of the American Society f

86 We measured sRAGE in stored plasma from a random sample of 1,201 participants in the Atheroscleros

87 A systematic random sample of 1,300 in-camp households were interview

88 A random sample of 10 children aged 0-9 years from each co

89 The trial comprised a random sample of 100 adult patients admitted to Geneva U

90 veys with all healthcare professionals and a random sample of 100 patients with Type 2 diabetes from

91 They were compared to a random sample of 100-mum circles generated in each OCTA

92 A random sample of 1000 MEDLINE abstracts was manually ass

93 A nationwide random sample of 1008 prisoners was assessed in 7 penal

94 Prospective cohort study of a random sample of 1010 patients hospitalized in 3 Austral

95 The unexposed cohort was a 20% random sample of 104 716 infants with TSB levels below t

96 A stratified random sample of 104 farms was studied, representing app

97 A random sample of 1040 recipients from the Collaborative

98 A stratified random sample of 1111 parents 60 years and older (1 per

99 We used data from a random sample of 13 090 participants aged 40-79 years at

100 sanitation coverage was ascertained using a random sample of 13 households per cluster.

101 ta on melanocytic nevi were collected from a random sample of 133 members of families with familial m

102 SI during the epidemic period, a stratified, random sample of 1350 unique infection isolates (from a

103 A random sample of 15,000 men and women aged 50+ years and

104 A random sample of 1500 AAO members were selected on the b

105 We measured serum folate concentrations in a random sample of 1546 REGARDS participants aged >/=50 y

106 A random sample of 16 health centres (clusters) were selec

107 Jogging habits were recorded in a random sample of 17,589 healthy men and women aged 20-98

108 d for eligibility; 2029 were eligible, and a random sample of 170 were invited to recruitment meeting

109 ereoscopic optic disc color photographs of a random sample of 172 subjects (344 eyes, 45 pairs of mon

110 prevalence and frequency were performed in a random sample of 1742 participants aged >/=50 years.

111 ospective longitudinal study of a stratified random sample of 1829 youth (1172 male and 657 female; 1

112 We recruited a stratified, random sample of 1943 adolescents from 44 schools across

113 We recruited a stratified, random sample of 1943 adolescents from 44 secondary scho

114 A stratified, random sample of 1943 adolescents was recruited from 44

115 An age- and sex-stratified random sample of 2,000 adults was taken from the populat

116 baseline and follow-up were available for a random sample of 2,460 subjects.

117 In a stratified random sample of 200 infants (100 with peanut allergy an

118 al cohort study using claims data from a 20% random sample of 2005-2008 Medicare fee-for-service bene

119 Vital status was ascertained in a random sample of 208 patients in the intervention group

120 h Texas originally administered in 2009 to a random sample of 21,530 households with children from 0

121 Data were analyzed from a stratified random sample of 213 participants drawn from a populatio

122 cross-sectional survey data from a statewide random sample of 221 hospital nurses in California who h

123 Between 2003 and 2006, a random sample of 2323 stroke-free persons (mean age, 69.

124 ian-reported data from all respondents and a random sample of 2613 nonrespondents were also analyzed.

125 al study, What About Youth, which enrolled a random sample of 298 080 school pupils drawn from 564 88

126 iological and reporting characteristics of a random sample of 300 SRs were extracted by one reviewer,

127 Cross-sectional telephone survey of a random sample of 315 first-year college students (aged 1

128 d at 20 weeks gestation we drew a stratified random sample of 316 for assessment at 32 weeks based on

129 A random sample of 3471 persons was examined in 2006-2008.

130 A total of 998 medical records of a 25% random sample of 3646 children discharged in 2010 with a

131 In a random sample of 438 participants, the mean follow-up 25

132 ransparency addressing these indicators in a random sample of 441 biomedical journal articles publish

133 n 2008, a postal questionnaire was sent to a random sample of 45 000 adults in four Swedish cities.

134 The study enrolled a random sample of 5,209 children <5 years old from 3,039

135 From 2010 to 2011, a random sample of 5,351 participants were enrolled in the

136 A random sample of 50 survivors (age, 4-57 years) free fro

137 A random sample of 50% was drawn for further review.

138 from AF in 1990-92, we selected a stratified random sample of 500 individuals without and 580 with in

139 s a retrospective birth cohort study using a random sample of 500 subjects from the 1997-2007 Mayo Bi

140 A survey was conducted among a random sample of 500 VCPs who were active members of the

141 We surveyed a stratified random sample of 500 VCPs, 404 of whom completed the sur

142 A stratified random sample of 591 Swiss citizens was enrolled in 1978

143 Among a random sample of 6,969 Swedish adults representing the c

144 Inhalation technique was assessed in a random sample of 60 adherent patients (prescription fill

145 surveyed pica and amylophagy behaviors in a random sample of 760 individuals >5 years in 167 househo

146 A random sample of 7828 children ages 5 years and younger

147 y number variant analysis was conducted on a random sample of 7877 individuals and genotype-phenotype

148 posure, and IgE levels were collected from a random sample of 8023 children stratified for farm expos

149 d women who transmitted via breastfeeding, a random sample of 86 HIV-infected women who did not trans

150 A stratified random sample of 863 patients with newly diagnosed SCC o

151 den from 1973 to 2006 (n = 3,380,301), and a random sample of 89.3% of all born in Finland from 1987

152 nal population-based cohort study involved a random sample of 975 persons in the Beaver Dam Eye Study

153 A random sample of about 20% of households in each communi

154 sitization (i.e., allergic disposition) in a random sample of adolescents living in a heterogeneous r

155 Standardized interviews were conducted of a random sample of adult patients with treatable surgical

156 A postal questionnaire was sent to a random sample of adults in 19 centers across Europe.

157 (within 1%) can be achieved using a smaller random sample of all feature pairs.

158 Database analysis of a 5% random sample of all Medicare beneficiaries 65 years or

159 The study population included a 25% random sample of all patients with resected stage I to I

160 h farm, faecal samples were collected from a random sample of animals and a standardised questionnair

161 A random sample of antiretroviral therapy initiators was u

162 nd Participants: We used Twitter to access a random sample of approximately 10 billion English-langua

163 A stratified random sample of ASCs was selected from each state.

164 A random sample of asthmatic children and their mothers at

165 In summary, while our collection is not a random sample of cases of E. faecalis endocarditis, thes

166 10, research assistants called a stratified, random sample of clinics representing eight specialties

167 Data were drawn from a random sample of CT encounters that occurred between 200

168 ll perform better than its peers on a finite random sample of feature sets, giving each classifier eq

169 Using a random sample of four cases, we found that both postmort

170 Performance data were collected in a random sample of HF patients from 167 US outpatient card

171 V-positive or were not tested for HIV, and a random sample of HIV-negative women, n = 598); 411 (69%)

172 y responses from a geographically stratified random sample of homeowners (n = 9,480), equally distrib

173 A stratified random sample of households and resident children <2 y o

174 In each stratum we selected a random sample of ICUs so as to enrol the total required

175 ny methods to build Bayesian networks from a random sample of independent and identically distributed

176 Participants were a random sample of individuals aged 18 to 74 years, based

177 A random sample of infants with and without bacterial infe

178 sorder, and other mental disorder) and a 10% random sample of inpatients with diagnoses of nonmental

179 Here we show, based on extrapolation from a random sample of land snail species via two independent

180 of measures to reduce the risk of bias in a random sample of life sciences publications, significant

181 We selected nonmalformed infants from a 10% random sample of live births as controls.

182 d all pregnancies ending in stillbirth and a random sample of livebirths between Jan 1, 2006, and Dec

183 A random sample of LTFU patients was selected for tracing

184 0 laser cases were compared with controls, a random sample of manual cases with similar age, axial le

185 ically extensive dataset is unlikely to be a random sample of marine coastal habitats; impacted sites

186 al measure of consultant presence, and a non-random sample of maternity units.

187 ing all MCRPEC from infection isolates and a random sample of mcr-1-negative E coli infections from t

188 Registry ICD Registry were merged with a 40% random sample of Medicare administrative data.

189 We used administrative claims from a 5% random sample of Medicare beneficiaries (aged 65 years a

190 ospective cohort study using the national 5% random sample of Medicare beneficiaries (n = 310,091).

191 cted a retrospective cohort study using a 5% random sample of Medicare beneficiaries between 65 and 7

192 ption drug and medical claims data from a 5% random sample of Medicare beneficiaries from 2006 throug

193 not diagnosed with breast cancer from the 5% random sample of Medicare beneficiaries residing in SEER

194 Among a 5% random sample of Medicare beneficiaries, Current Procedu

195 Using administrative claims from a 5% random sample of Medicare beneficiaries, we identified a

196 Using claims data from a 20% random sample of Medicare beneficiaries, we identified p

197 Matched controls are selected from a 5% random sample of Medicare beneficiaries.

198 A random sample of Medicare fee-for-service beneficiaries

199 Using a 5% random sample of Medicare fee-for-service beneficiaries,

200 e study of 1-year fracture incidence in a 5% random sample of Medicare Part B beneficiaries with cata

201 injury, fracture, or fall prevalence in a 5% random sample of Medicare Part B fee-for-service claims

202 als aged >/= 65 years was undertaken in a 5% random sample of Medicare who received and did not recei

203 edical claims analysis was conducted using a random sample of mesalamine users with UC.

204 elated patterns and risk factors, in a large random sample of meta-analyses taken from all discipline

205 cores (N = 159) were taken remotely around a random sample of mussel farms, redox was measured at 10

206 ir infants (n = 1859) and a population-based random sample of NOMs and their infants frequency matche

207 ropharyngeal lymph node was collected from a random sample of non-lesioned animals.

208 based, ten-wave cohort study of a stratified random sample of non-treatment-seeking young adults recr

209 This study used information from a random sample of one million persons enrolled in the nat

210 polls based on face-to-face interviews of a random sample of parents and other caregivers of childre

211 A cross-sectional, population-based random sample of participants 65 years and older was cho

212 se-cohort design in which we selected both a random sample of participants and participants with extr

213 All those with a detectable wheal and a random sample of participants with negative skin prick t

214 Study subjects were selected as a random sample of patients at more than 200 participating

215 We identified a random sample of patients lost to follow-up (9 months wi

216 We traced a random sample of patients lost to follow-up and incorpor

217 We reviewed the medical records of a random sample of patients who initiated maintenance dial

218 rlong 2012 prospective study on a stratified random sample of patients with culture-confirmed MRSA in

219 The study population included a random sample of patients with psoriasis (n = 1322) betw

220 METHODS AND A random sample of patients with transient ischemic attack

221 positive predictive value (PPV; 96.1%) for a random sample of previously validated de novo variants.

222 elated behaviours in individuals living in a random sample of private households in England.

223 the current use of sensitivity analyses in a random sample of published nutrition literature and prov

224 A random sample of respondents was invited for clinical ex

225 While the participants were not a random sample of returnees, the number participating was

226 nd dried blood spots in seroconverters and a random sample of seronegative participants.

227 It uses a case-cohort design, whereby a random sample of study participants is enriched with par

228 d April 2012, we surveyed an age-stratified, random sample of survivors of childhood cancer and a sib

229 from the cases and from an approximately 10% random sample of the baseline cohort (n = 1366) were gra

230 ds was determined by gas chromatography in a random sample of the cohort (n = 1660).

231 The population included a random sample of the general community aged 40 to 79 yea

232 Participants are enrolled from a random sample of the general population at five dedicate

233 0 years) including all known PLHIV and a 10% random sample of the general population of British Colum

234 hat the effectiveness of RDD in recruiting a random sample of the general population, particularly fo

235 In a random sample of the general U.S. population, the minor

236 for estimating AE rates than is evaluating a random sample of the same size.

237 We reared a random sample of the treehoppers on potted replicates of

238 2012 from all pens containing kittens and a random sample of those housing adult cats.

239 ota FluLine callers was conducted using a 5% random sample of those who completed the protocol and th

240 A random sample of those with a PHQ-9 score that was less

241 Adult participants were recruited from a random sample of Wisconsin state employees to attend ove

242 Patients and Methods A weighted random sample of women newly diagnosed with breast cance

243 with either first-generation HPV test, and a random sample of women who tested negative for HPV and c

244 a grade 2 or grade 3 (CIN2/3; n = 325) and a random sample of women with <CIN2 as controls (n = 401).

245 The first study used 1,000 random samples of 2,000 persons drawn from the 10,128 st

246 Each of 19 centers selected random samples of 5000 adults aged 15-74 from their gene

247 ers & Systems (CAHPS) survey responses among random samples of beneficiaries in Pioneer ACOs (n = 13,

248 y of models for determining ancestries among random samples of DNA sequences at a nonrecombining locu

249 te the probability of error in comparing two random samples of fingerprints, the persistence of finge

250 We used 10% random samples of Ghana's 2000 and 2010 National Populat

251 ge by undertaking cross-sectional surveys in random samples of KHDSS residents (of all ages) once eve

252 Replicate assessments of random samples of photographs were performed to assess i

253 Survey data collected from large random samples of registered nurses employed in Pennsylv

254 1, 2015, in large cross-sectional surveys of random samples of the general population in 21 communiti

255 ets of experimentally validated lincRNAs are random samples of the lincRNomes of the corresponding sp

256 rely on simple exact models of proteins and random samples of the space of potential energy function

257 sider a related extension of this problem to random samples of two discrete distributions.

258 ng of "super-emitters" that may be missed by random sampling of a subset of the total.

259 d of rare disease alleles substantially over random sampling of cases or controls or sampling based o

260 elop an algorithm for efficiently performing random sampling of causal graphs.

261 y native-like conformations mostly resort to random sampling of conformations to achieve computationa

262 matic sampling of cases (when necessary) and random sampling of controls will be implemented.

263 ed from rotamer libraries, are combined with random sampling of explicit urea molecules in interactio

264 We characterize these biases for random sampling of genotypes as well as samples drawn fr

265 ty in the assignment of genotypes because of random sampling of homologous base pairs in heterozygote

266 of state of Sao Paulo, using systematic and random sampling of households between March 2004 and Jul

267 nds, we recommend a size correction based on random sampling of modules when using biological process

268 Sequencing errors and random sampling of nucleotide types among sequencing rea

269 field diversity was consistent with a nearly random sampling of orientation, spatial phase, and retin

270 ifurcation sets, numerical continuation, and random sampling of parameters.

271 also normally distributed, consistent with a random sampling of parental genes.

272 ers several years after war using consistent random sampling of war-affected people across several We

273 of cataract between 2002 and 2009 in the 5% random sample; of these patients, 410,809 (36.9%) receiv

274 Data sets ascertained by random sampling often harbor cryptic relatedness that ca

275 Ne reflects the effect of random sampling on the genetic composition of a populati

276 In the first stage, we used a simple random-sampling procedure stratified by economic-geograp

277 We expect that the localized random sampling protocol helps to explain the evolutiona

278 theory demonstrates that by using uniformly-random sampling, rather than uniformly-spaced sampling,

279 ly selected 150 for the study using a simple random sampling routine in Stata.

280 ion and validation data sets by using simple random sampling stratified by sex, BMI category, and age

281 two independent sampling frames: a national random-sample survey of 1,090 Iraq and Afghanistan veter

282 ited 100 homeless persons using a stratified random sampling technique from January to March 2014.

283 A systematic random sampling technique was used to select 359 study p

284 week and had better accuracy than stratified random sampling techniques.

285 tative sites (Chiri, C, and Wabero, W) using random sampling techniques.

286 In a random sample, TFV was detected in 30%, 29%, and 25% of

287 of existing motif-finding tools by employing random sampling to effectively remove non-motif-containi

288 This cross-sectional study used multistage random sampling to enroll 1,134 12-year-old schoolchildr

289 of this organism, we conducted a systematic random sampling to identify 3,000 nasopharyngeal swab sp

290 ased, observational study, we used two-phase random sampling to recruit adults with disabilities and

291 A cross-sectional random sample was taken from a US mail survey of 2100 su

292 rrect prediction rate for 1,000 single mouse random samples was 78.09%.

293 Random sampling was the least biased method.

294 Random samples were collected from each treated and cont

295 logical receptive field structure, localized random sampling, which yields significantly improved CS

296 Multistage stratified cluster random sampling with probability-proportional-to-size pr

297 mples achieved either through bootstrapping (random sampling with replacement) or subsampling (random

298 on carried by each neuron arises purely from random sampling within the stimulus space.

299 m sampling with replacement) or subsampling (random sampling without replacement) on learning data.

300 statistically sufficient to explain TL under random sampling, without the intervention of any biologi