ライフサイエンスコーパス: random sample

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

2 sepsis in a nationally representative pseudo-random sample.

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

4 um are reasonable approximations of a simple random sample.

5 EHR data and a follow-up manual review of a random samples.

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

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

8 be consistently obtained by using localized random sampling.

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

10 g and regulating facilities using stratified random sampling.

11 e using ImageJ to perform systematic uniform random sampling.

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

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

14 selected from the district using multi stage random sampling.

15 Eligible samples were selected using cluster random sampling.

16 ins City, Brazil, were identified by cluster random sampling.

17 amine in China through multi-stage clustered random sampling.

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

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

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

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

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

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

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

25 ns between 2015 and 2017 by using stratified random sampling among study populations.

26 howed that training set designs outperformed random sampling and earlier methods that either minimize

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

28 late for their last appointment), selected a random sample, and intensively reviewed their records an

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

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

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

32 A random sampling assigned participants into group 1 (with

33 samples (foreground) embedded in a stream of random samples (background).

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

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

36 ed in the peak gain of the synthesized quasi-random sampling bases from the frequency-diverse cavity.

37 ults and suggest that similar performance to random sampling can be achieved with a fraction of the s

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

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

40 xclude spurious peak matches with a tailored random sample consensus (RANSAC) procedure.

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

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

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

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

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

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

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

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

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

50 tion, from either altered labor partition or random sampling, drives the community into distinct stru

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

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

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

54 Random sampling for selecting non-interacting pairs resu

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

56 A 10% random sample from each birth-year cohort was selected a

57 he SOS reference study (reference cohort), a random sample from the general population.

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

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

60 Gapsplit generates random samples from convex and non-convex constraint-bas

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

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

63 Controls were selected by simple random sampling from the remaining HHCs.

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

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

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

67 74 adults who were selected using multistage random sampling in Gondar town, North West, Ethiopia.

68 ground, is significantly more efficient than random sampling in identifying genetic variants associat

69 sampling in makeshift settlements and simple random sampling in Nayapara registered camp.

70 e greater than those in surveys using simple random sampling in order to obtain similarly precise pre

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

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

73 RNA sequencing techniques are susceptible to random sampling limitations due to the complexity of the

74 Systematic random sampling method was employed to select the study

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

76 he research area was determined by a layered random sampling method.

77 care workers who were selected using simple random sampling method.

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

79 Combining a random sampling model with a terrageny generates numeric

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 In a random sample (n = 441), vitamin D supplementation incre

83 In a random sample (n=441), vitamin D supplementation increas

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

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

88 d concordance between efficacy outcomes in a random sample of 10 Cochrane Skin systematic reviews and

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

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

91 A random sample of 1000 MEDLINE abstracts was manually ass

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

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

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

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

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

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

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

99 We described a random sample of 140.

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

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

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

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

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

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

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

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

108 A random sample of 2,329 pregnant women and new mothers li

109 Methods: This retrospective study included a random sample of 2,643 (18)F-FDG PET/CT scans that were

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

111 Domain experts evaluated a random sample of 210 potentially missing is-a relations.

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

113 disorders during 2016 were extracted from a random sample of 22,333 dogs within the VetCompass Progr

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

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

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

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

118 mong 24,861 (40.8%) responders, we invited a random sample of 3,200 individuals for blood testing.

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

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

121 An age and sex-stratified random sample of 3440 citizens from the general populati

122 tate of code availability in ecology using a random sample of 346 nonmolecular articles published bet

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

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

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

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

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

128 A random sample of 450 oncologists from 45 cancer centers

129 A random sample of 47 patients with PD with stable motor d

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

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

132 A random sample of 50 adults for 21 NHs/LTACs (18 NHs, 3 L

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

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

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

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

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

138 MED study, with 251 incident T2D cases and a random sample of 694 participants (641 non-cases and 53

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

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

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

142 dertake a disproportionality analysis, and a random sample of 9,053,240 patients from the U.S.

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

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

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

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

147 multicenter cohort study of patients from a random sample of all admitted patients with laboratory-c

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

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

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

151 A random sample of antiretroviral therapy initiators was u

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

153 are to analyze the media coverage of a large random sample of business, government, and social advoca

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

155 asitemia on thick blood smear, assessed in a random sample of children from each community at study v

156 The unexposed group was a random sample of ESBL-PE-negative patients.

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

158 In a random sample of hospitals, data completeness and accura

159 nish administrative registers covering a 20% random sample of households with at least one child aged

160 administered a low-cost screening tool to a random sample of households.

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

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

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

164 y are measured at the genomic level taking a random sample of individuals in a community.

165 A random sample of infants with and without bacterial infe

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

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

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

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

170 We traced a simple random sample of LTFU patients (>90 days from last sched

171 A random sample of LTFU patients was selected for tracing

172 0 laser cases were compared with controls, a random sample of manual cases with similar age, axial le

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

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

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

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

177 Working with a 20% random sample of Medicare beneficiaries (2008 to 2015),

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

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

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

181 ive cohort study using claims data from a 5% random sample of Medicare beneficiaries from 2008 to 201

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

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

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

185 s) and 200000 cancer-free controls from a 5% random sample of Medicare beneficiaries.

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

187 Using 20% random sample of Medicare fee-for-service beneficiaries

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

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

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

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

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

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

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

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

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

197 A 50% random sample of participants (N = 2468) was selected fo

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

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

200 We enrolled a random sample of participants from approximately 20% of

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

202 A systematic assessment of outcomes among a random sample of patients lost to follow up (LTFU) from

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

204 nic medical records, we intensively traced a random sample of patients lost to follow-up (LTFU) and i

205 outcomes ascertained by tracing a multistage random sample of patients lost to follow-up (LTFU, >90 d

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

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

208 , enrolling either a consecutive series or a random sample of patients who require evaluation for tub

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

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

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

212 bject to spectrum bias as we only included a random sample of people without TB from each cohort.

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

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

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

216 A random sample of respondents was invited for clinical ex

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

218 ge probability sample including a stratified random sample of schools.

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

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

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

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

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

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

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

226 0 years) including all known PLHIV and a 10% random sample of the general population of British Colum

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

228 -term progression of gallbladder polyps in a random sample of the general population.

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

230 2012 from all pens containing kittens and a random sample of those housing adult cats.

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

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

233 Random sample of US and worldwide Internet users who sea

234 This study uses simulated patient calls to a random sample of US residential addiction treatment faci

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

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

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

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

239 Results of comparing random samples of 53 preregistrations from each format i

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

241 se status used a standardized form to review random samples of cases (n=800) and nonglomerular cases

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

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

244 Five health examination studies of random samples of individuals aged 18-69 years resident

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

246 structures (latent subnetworks that are not random samples of the full network), we propose a genera

247 1, 2015, in large cross-sectional surveys of random samples of the general population in 21 communiti

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

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

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

251 ster was lower than would be expected from a random sampling of genomes from this outbreak, but data

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

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

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

255 onentially more likely to occur upon uniform random sampling of inputs than complex outputs are.

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

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

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

259 studies (necessary to assess causality), non-random sampling of participants by many studies, and the

260 n cortical layers 2-6, and are composed of a random sampling of transcriptomic cell types.

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

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

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

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

265 care providers enrolled consecutively by non-random sampling PWH with lab-confirmed COVID-19, diagnos

266 s is applied to mitigate the inadequacies of random sampling, random forest (RF) together with the co

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

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

269 Households were identified using simple random sampling (SRS) in Nayapara and multistage cluster

270 elected from municipal rolls using two-stage random sampling stratified by province and municipality

271 as determined by a representative nationwide random sample study (control cohort 1) and a cohort of p

272 We address model fitting for simple random sampling study designs as well as stratified desi

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

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

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

276 oss - sectional design study with systematic random sampling technique was used to select 630 adults.

277 A simple random sampling technique was used to select participant

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

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

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

281 Major Histocompatibility Complex (MHC) of a random sample.The application provides users with a simp

282 classic survey sampling strategies based on random sampling therefore require increasingly large sam

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

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

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

286 en May 19 and October 27, 2016, a systematic random sample was assessed for eligibility (HIV+, age >=

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

288 Random sampling was applied to assess the sensitivity an

289 Simple random sampling was done to select the study participant

290 Random sampling was the least biased method.

291 Random samples were collected from each treated and cont

292 A total of 160 random samples were gathered from private dairy farms in

293 Random samples were selected from the lists of the Calif

294 care beneficiaries between 2005 and 2015 (5% random samples) were used.

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

296 We traced a random sample with unknown outcomes (lost to follow-up)

297 onal survey data that were collected through random sampling with a sample size of at least 100 indiv

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

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

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